180 KiB
180 KiB
| 1 | title | publication_info | cited_by |
|---|---|---|---|
| 2 | Human-in-the-loop machine learning: a state of the art | E Mosqueira-Rey, E Hernández-Pereira… - Artificial Intelligence …, 2023 - Springer | Cited by 865 |
| 3 | Machine learning for battery systems applications: Progress, challenges, and opportunities | Z Nozarijouybari, HK Fathy - Journal of Power Sources, 2024 - Elsevier | Cited by 77 |
| 4 | Machine learning for nanoplasmonics | JF Masson, JS Biggins, E Ringe - Nature Nanotechnology, 2023 - nature.com | Cited by 106 |
| 5 | Machine learning operations (mlops): Overview, definition, and architecture | D Kreuzberger, N Kühl, S Hirschl - IEEE access, 2023 - ieeexplore.ieee.org | Cited by 775 |
| 6 | Agricultural databases evaluation with machine learning procedure | M Amini, A Rahmani - … Journal of Engineering and Applied Science, 2023 - papers.ssrn.com | Cited by 158 |
| 7 | Small data machine learning in materials science | P Xu, X Ji, M Li, W Lu - npj Computational Materials, 2023 - nature.com | Cited by 459 |
| 8 | [PDF][PDF] Machine learning in cybersecurity: Techniques and challenges | J Bharadiya - European Journal of Technology, 2023 - academia.edu | Cited by 164 |
| 9 | [BOOK][B] Mathematical analysis of machine learning algorithms | T Zhang - 2023 - books.google.com | Cited by 104 |
| 10 | Pushing the frontiers in climate modelling and analysis with machine learning | V Eyring, WD Collins, P Gentine, EA Barnes… - Nature Climate …, 2024 - nature.com | Cited by 121 |
| 11 | of Machine Learning Techniques | V Sutaria, A Jain - Intelligent Strategies for ICT: Proceedings of …, 2025 - books.google.com | Cited by 188 |
| 12 | [HTML][HTML] Machine learning applications in agriculture: current trends, challenges, and future perspectives | SO Araujo, RS Peres, JC Ramalho, F Lidon, J Barata - Agronomy, 2023 - mdpi.com | Cited by 179 |
| 13 | Machine learning in environmental research: common pitfalls and best practices | JJ Zhu, M Yang, ZJ Ren - Environmental Science & Technology, 2023 - ACS Publications | Cited by 386 |
| 14 | OpenMM 8: molecular dynamics simulation with machine learning potentials | P Eastman, R Galvelis, RP Peláez… - The Journal of …, 2023 - ACS Publications | Cited by 274 |
| 15 | Research on machine learning with algorithms and development | L Yu, X Zhao, J Huang, H Hu… - Journal of Theory and …, 2023 - centuryscipub.com | Cited by 43 |
| 16 | Machine learning for a sustainable energy future | Z Yao, Y Lum, A Johnston, LM Mejia-Mendoza… - Nature Reviews …, 2023 - nature.com | Cited by 393 |
| 17 | A systematic review of teaching and learning machine learning in K-12 education | IT Sanusi, SS Oyelere, H Vartiainen, J Suhonen… - Education and …, 2023 - Springer | Cited by 229 |
| 18 | Crop prediction model using machine learning algorithms | E Elbasi, C Zaki, AE Topcu, W Abdelbaki, AI Zreikat… - Applied Sciences, 2023 - mdpi.com | Cited by 268 |
| 19 | Machine learning in architecture | B Topuz, NÇ Alp - Automation in Construction, 2023 - Elsevier | Cited by 53 |
| 20 | AI and machine learning for real-world problems | H Nozari, J Ghahremani-Nahr, A Szmelter-Jarosz - Advances in computers, 2024 - Elsevier | Cited by 107 |
| 21 | [PDF][PDF] An unsupervised machine learning algorithms: Comprehensive review | S Naeem, A Ali, S Anam… - International Journal of …, 2023 - researchgate.net | Cited by 264 |
| 22 | eXtreme gradient boosting algorithm with machine learning: A review | ZA Ali, ZH Abduljabbar, HA Tahir, AB Sallow… - Academic Journal of …, 2023 - cir.nii.ac.jp | Cited by 197 |
| 23 | A review of evaluation metrics in machine learning algorithms | G Naidu, T Zuva, EM Sibanda - Computer science on-line conference, 2023 - Springer | Cited by 447 |
| 24 | A review of machine learning algorithms for biomedical applications | VA Binson, S Thomas, M Subramoniam, J Arun… - Annals of Biomedical …, 2024 - Springer | Cited by 81 |
| 25 | [HTML][HTML] Understanding of machine learning with deep learning: architectures, workflow, applications and future directions | MM Taye - Computers, 2023 - mdpi.com | Cited by 1000 |
| 26 | Machine learning methods for small data challenges in molecular science | B Dou, Z Zhu, E Merkurjev, L Ke, L Chen… - Chemical …, 2023 - ACS Publications | Cited by 343 |
| 27 | Security Threats and Detection Mechanisms in Machine Learning | K Madhuri - Handbook of Artificial Intelligence, 2023 - books.google.com | Cited by 165 |
| 28 | [HTML][HTML] The challenges of machine learning: A critical review | E Barbierato, A Gatti - Electronics, 2024 - mdpi.com | Cited by 138 |
| 29 | An overview of machine learning classification techniques | AFAH Alnuaimi, THK Albaldawi - BIO Web of Conferences, 2024 - bio-conferences.org | Cited by 82 |
| 30 | [HTML][HTML] Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms | S Tufail, H Riggs, M Tariq, AI Sarwat - Electronics, 2023 - mdpi.com | Cited by 215 |
| 31 | Predictive models for concrete properties using machine learning and deep learning approaches: A review | MM Moein, A Saradar, K Rahmati… - Journal of Building …, 2023 - Elsevier | Cited by 395 |
| 32 | [HTML][HTML] Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects | G Obaido, ID Mienye, OF Egbelowo… - Machine Learning with …, 2024 - Elsevier | Cited by 74 |
| 33 | Promising directions of machine learning for partial differential equations | SL Brunton, JN Kutz - Nature Computational Science, 2024 - nature.com | Cited by 108 |
| 34 | Unsupervised machine learning methods and emerging applications in healthcare | CM Eckhardt, SJ Madjarova, RJ Williams… - Knee Surgery, Sports …, 2023 - Springer | Cited by 161 |
| 35 | Impact of machine learning on management, healthcare and agriculture | H Pallathadka, M Mustafa, DT Sanchez… - Materials Today …, 2023 - Elsevier | Cited by 248 |
| 36 | [HTML][HTML] Enhanced sampling with machine learning | S Mehdi, Z Smith, L Herron, Z Zou… - Annual Review of …, 2024 - annualreviews.org | Cited by 89 |
| 37 | Machine learning for the physics of climate | A Bracco, J Brajard, HA Dijkstra… - Nature Reviews …, 2025 - nature.com | Cited by 48 |
| 38 | Evaluation metrics and statistical tests for machine learning | O Rainio, J Teuho, R Klén - Scientific Reports, 2024 - nature.com | Cited by 810 |
| 39 | [BOOK][B] Ensemble methods for machine learning | G Kunapuli - 2023 - books.google.com | Cited by 152 |
| 40 | Evaluating machine learning models and their diagnostic value | G Varoquaux, O Colliot - Machine learning for brain disorders, 2023 - Springer | Cited by 215 |
| 41 | Interpretable machine learning for science with PySR and SymbolicRegression. jl | M Cranmer - arXiv preprint arXiv:2305.01582, 2023 - arxiv.org | Cited by 475 |
| 42 | The role of artificial neural network and machine learning in utilizing spatial information | A Goel, AK Goel, A Kumar - Spatial Information Research, 2023 - Springer | Cited by 249 |
| 43 | Traffic management approaches using machine learning and deep learning techniques: A survey | H Almukhalfi, A Noor, TH Noor - Engineering Applications of Artificial …, 2024 - Elsevier | Cited by 106 |
| 44 | Evaluation of a decided sample size in machine learning applications | D Rajput, WJ Wang, CC Chen - BMC bioinformatics, 2023 - Springer | Cited by 334 |
| 45 | Byzantine machine learning: A primer | R Guerraoui, N Gupta, R Pinot - ACM Computing Surveys, 2024 - dl.acm.org | Cited by 55 |
| 46 | Future of machine learning in geotechnics | KK Phoon, W Zhang - … : Assessment and Management of Risk for …, 2023 - Taylor & Francis | Cited by 262 |
| 47 | Representations of materials for machine learning | J Damewood, J Karaguesian, JR Lunger… - Annual Review of …, 2023 - annualreviews.org | Cited by 103 |
| 48 | [HTML][HTML] Probabilistic weather forecasting with machine learning | I Price, A Sanchez-Gonzalez, F Alet, TR Andersson… - Nature, 2025 - nature.com | Cited by 267 |
| 49 | Revolutionizing drug formulation development: The increasing impact of machine learning | Z Bao, J Bufton, RJ Hickman, A Aspuru-Guzik… - Advanced Drug Delivery …, 2023 - Elsevier | Cited by 67 |
| 50 | [HTML][HTML] Knowledge Discovery: Methods from data mining and machine learning | X Shu, Y Ye - Social Science Research, 2023 - Elsevier | Cited by 280 |
| 51 | [HTML][HTML] Ethical and bias considerations in artificial intelligence/machine learning | MG Hanna, L Pantanowitz, B Jackson, O Palmer… - Modern Pathology, 2025 - Elsevier | Cited by 207 |
| 52 | Position: Why we must rethink empirical research in machine learning | M Herrmann, FJD Lange, K Eggensperger… - arXiv preprint arXiv …, 2024 - arxiv.org | Cited by 35 |
| 53 | [HTML][HTML] Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework | F Li, T Yigitcanlar, M Nepal, K Nguyen, F Dur - Sustainable Cities and …, 2023 - Elsevier | Cited by 184 |
| 54 | A review of machine learning for modeling air quality: Overlooked but important issues | D Tang, Y Zhan, F Yang - Atmospheric Research, 2024 - Elsevier | Cited by 62 |
| 55 | [HTML][HTML] Exploring the impact of ChatGPT on education: A web mining and machine learning approach | A Rejeb, K Rejeb, A Appolloni, H Treiblmaier… - … International Journal of …, 2024 - Elsevier | Cited by 160 |
| 56 | [HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review | M Soori, B Arezoo, R Dastres - Cognitive Robotics, 2023 - Elsevier | Cited by 1221 |
| 57 | Machine learning in agriculture: a review of crop management applications | I Attri, LK Awasthi, TP Sharma - Multimedia Tools and Applications, 2024 - Springer | Cited by 127 |
| 58 | [HTML][HTML] Machine learning methods in weather and climate applications: A survey | L Chen, B Han, X Wang, J Zhao, W Yang, Z Yang - Applied Sciences, 2023 - mdpi.com | Cited by 183 |
| 59 | Advances in machine learning for wearable sensors | X Xiao, J Yin, J Xu, T Tat, J Chen - ACS nano, 2024 - ACS Publications | Cited by 50 |
| 60 | Mlagentbench: Evaluating language agents on machine learning experimentation | Q Huang, J Vora, P Liang, J Leskovec - arXiv preprint arXiv:2310.03302, 2023 - arxiv.org | Cited by 140 |
| 61 | Machine learning in marketing: Recent progress and future research directions | D Herhausen, SF Bernritter, EWT Ngai, A Kumar… - Journal of Business …, 2024 - Elsevier | Cited by 66 |
| 62 | Autoencoders and their applications in machine learning: a survey | K Berahmand, F Daneshfar, ES Salehi, Y Li… - Artificial intelligence …, 2024 - Springer | Cited by 413 |
| 63 | In-network machine learning using programmable network devices: A survey | C Zheng, X Hong, D Ding, S Vargaftik… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org | Cited by 65 |
| 64 | Opportunities and challenges for machine learning-assisted enzyme engineering | J Yang, FZ Li, FH Arnold - ACS Central Science, 2024 - ACS Publications | Cited by 139 |
| 65 | Tiny machine learning: Progress and futures [feature] | J Lin, L Zhu, WM Chen, WC Wang… - IEEE Circuits and …, 2023 - ieeexplore.ieee.org | Cited by 141 |
| 66 | Artificial intelligence and machine learning in clinical medicine, 2023 | CJ Haug, JM Drazen - New England Journal of Medicine, 2023 - Mass Medical Soc | Cited by 1040 |
| 67 | A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities | W Han, X Zhang, Y Wang, L Wang, X Huang… - ISPRS Journal of …, 2023 - Elsevier | Cited by 242 |
| 68 | Machine learning-aided generative molecular design | Y Du, AR Jamasb, J Guo, T Fu, C Harris… - Nature Machine …, 2024 - nature.com | Cited by 138 |
| 69 | Emerging trends in machine learning: a polymer perspective | TB Martin, DJ Audus - ACS Polymers Au, 2023 - ACS Publications | Cited by 131 |
| 70 | [HTML][HTML] Machine learning: Models, challenges, and research directions | T Talaei Khoei, N Kaabouch - Future Internet, 2023 - mdpi.com | Cited by 59 |
| 71 | Machine learning in oil and gas exploration: A review | A Lawal, Y Yang, H He, NL Baisa - Ieee Access, 2024 - ieeexplore.ieee.org | Cited by 49 |
| 72 | Machine learning and the five big ideas in AI | D Touretzky, C Gardner-McCune… - International journal of …, 2023 - Springer | Cited by 179 |
| 73 | Foundations & trends in multimodal machine learning: Principles, challenges, and open questions | PP Liang, A Zadeh, LP Morency - ACM Computing Surveys, 2024 - dl.acm.org | Cited by 287 |
| 74 | Ensemble deep learning and machine learning: applications, opportunities, challenges, and future directions | N Rane, SP Choudhary, J Rane - Studies in Medical and Health …, 2024 - sabapub.com | Cited by 102 |
| 75 | What is machine learning, artificial neural networks and deep learning?—Examples of practical applications in medicine | J Kufel, K Bargieł-Łączek, S Kocot, M Koźlik… - Diagnostics, 2023 - mdpi.com | Cited by 295 |
| 76 | [HTML][HTML] Artificial intelligence and machine learning in energy systems: A bibliographic perspective | A Entezari, A Aslani, R Zahedi, Y Noorollahi - Energy Strategy Reviews, 2023 - Elsevier | Cited by 344 |
| 77 | [HTML][HTML] A review of machine learning and deep learning approaches on mental health diagnosis | NK Iyortsuun, SH Kim, M Jhon, HJ Yang, S Pant - Healthcare, 2023 - mdpi.com | Cited by 242 |
| 78 | [HTML][HTML] A brief survey of machine learning and deep learning techniques for e-commerce research | X Zhang, F Guo, T Chen, L Pan, G Beliakov… - Journal of Theoretical …, 2023 - mdpi.com | Cited by 103 |
| 79 | Advances of machine learning in materials science: Ideas and techniques | SS Chong, YS Ng, HQ Wang, JC Zheng - Frontiers of Physics, 2024 - Springer | Cited by 74 |
| 80 | Machine learning: Review and trends | MOK Mendonça, SL Netto, PSR Diniz… - … and machine learning …, 2024 - Elsevier | Cited by 41 |
| 81 | Causal machine learning for predicting treatment outcomes | S Feuerriegel, D Frauen, V Melnychuk, J Schweisthal… - Nature Medicine, 2024 - nature.com | Cited by 240 |
| 82 | Cardiovascular diseases prediction by machine learning incorporation with deep learning | S Subramani, N Varshney, MV Anand… - Frontiers in …, 2023 - frontiersin.org | Cited by 111 |
| 83 | Machine learning for synthetic data generation: a review | Y Lu, M Shen, H Wang, X Wang, C van Rechem… - arXiv preprint arXiv …, 2023 - arxiv.org | Cited by 326 |
| 84 | Machine learning political orders | L Amoore - Review of International Studies, 2023 - cambridge.org | Cited by 115 |
| 85 | Mle-bench: Evaluating machine learning agents on machine learning engineering | JS Chan, N Chowdhury, O Jaffe, J Aung… - arXiv preprint arXiv …, 2024 - arxiv.org | Cited by 104 |
| 86 | Machine learning in earthquake seismology | SM Mousavi, GC Beroza - Annual Review of Earth and …, 2023 - annualreviews.org | Cited by 227 |
| 87 | Machine learning process evaluating damage classification of composites | M Amini, A Rahmani - International Journal of Science and …, 2023 - papers.ssrn.com | Cited by 148 |
| 88 | [HTML][HTML] Artificial intelligence, machine learning, and deep learning in liver transplantation | M Bhat, M Rabindranath, BS Chara, DA Simonetto - Journal of hepatology, 2023 - Elsevier | Cited by 170 |
| 89 | Machine learning applications in stroke medicine: advancements, challenges, and future prospectives | M Daidone, S Ferrantelli… - Neural regeneration …, 2024 - journals.lww.com | Cited by 98 |
| 90 | Findings on teaching machine learning in high school: A ten-year systematic literature review | RM Martins, C Gresse Von Wangenheim - Informatics in Education, 2023 - ceeol.com | Cited by 321 |
| 91 | [HTML][HTML] Systematic literature review: Quantum machine learning and its applications | D Peral-García, J Cruz-Benito… - Computer Science …, 2024 - Elsevier | Cited by 279 |
| 92 | Coronavirus disease (COVID-19) cases analysis using machine-learning applications | AS Kwekha-Rashid, HN Abduljabbar, B Alhayani - Applied nanoscience, 2023 - Springer | Cited by 353 |
| 93 | Open-world machine learning: A review and new outlooks | F Zhu, S Ma, Z Cheng, XY Zhang, Z Zhang… - arXiv e …, 2024 - ui.adsabs.harvard.edu | Cited by 46 |
| 94 | [HTML][HTML] Machine learning for chemistry: basics and applications | YF Shi, ZX Yang, S Ma, PL Kang, C Shang, P Hu… - Engineering, 2023 - Elsevier | Cited by 67 |
| 95 | Machine learning in metaverse security: Current solutions and future challenges | Y Otoum, N Gottimukkala, N Kumar, A Nayak - ACM Computing Surveys, 2024 - dl.acm.org | Cited by 41 |
| 96 | [HTML][HTML] An overview of machine learning, deep learning, and reinforcement learning-based techniques in quantitative finance: recent progress and challenges | SK Sahu, A Mokhade, ND Bokde - Applied Sciences, 2023 - mdpi.com | Cited by 184 |
| 97 | On some limitations of current machine learning weather prediction models | M Bonavita - Geophysical Research Letters, 2024 - Wiley Online Library | Cited by 110 |
| 98 | An interactive teaching evaluation system for preschool education in universities based on machine learning algorithm | D Li - Computers in human behavior, 2024 - Elsevier | Cited by 62 |
| 99 | Machine learning for intelligent data analysis and automation in cybersecurity: current and future prospects | IH Sarker - Annals of Data Science, 2023 - Springer | Cited by 301 |
| 100 | Sensing and machine learning for automotive perception: A review | A Pandharipande, CH Cheng, J Dauwels… - IEEE Sensors …, 2023 - ieeexplore.ieee.org | Cited by 136 |
| 101 | Predicting agriculture yields based on machine learning using regression and deep learning | P Sharma, P Dadheech, N Aneja, S Aneja - IEEE Access, 2023 - ieeexplore.ieee.org | Cited by 110 |
| 102 | Machine Learning and Genetic Algorithms: A case study on image reconstruction | C Cavallaro, V Cutello, M Pavone, F Zito - Knowledge-Based Systems, 2024 - Elsevier | Cited by 52 |
| 103 | Accurately identifying hemagglutinin using sequence information and machine learning methods | X Zou, L Ren, P Cai, Y Zhang, H Ding, K Deng… - Frontiers in …, 2023 - frontiersin.org | Cited by 110 |
| 104 | [HTML][HTML] A brief review of machine learning algorithms in forest fires science | R Alkhatib, W Sahwan, A Alkhatieb, B Schütt - Applied Sciences, 2023 - mdpi.com | Cited by 115 |
| 105 | Machine learning solutions for the security of wireless sensor networks: A review | YY Ghadi, T Mazhar, T Al Shloul, T Shahzad… - Ieee …, 2024 - ieeexplore.ieee.org | Cited by 74 |
| 106 | [HTML][HTML] Machine learning and prediction of infectious diseases: a systematic review | OE Santangelo, V Gentile, S Pizzo, D Giordano… - Machine Learning and …, 2023 - mdpi.com | Cited by 124 |
| 107 | The role of machine learning in tribology: A systematic review | UMR Paturi, ST Palakurthy, NS Reddy - Archives of Computational …, 2023 - Springer | Cited by 102 |
| 108 | Feature selection techniques for machine learning: a survey of more than two decades of research | D Theng, KK Bhoyar - Knowledge and Information Systems, 2024 - Springer | Cited by 330 |
| 109 | Application of Machine Learning and Deep Learning in Finite Element Analysis: A Comprehensive Review. | D Nath, DR Neog, SS Gautam - Archives of computational …, 2024 - search.ebscohost.com | Cited by 83 |
| 110 | Recent progresses in machine learning assisted Raman spectroscopy | Y Qi, D Hu, Y Jiang, Z Wu, M Zheng… - Advanced Optical …, 2023 - Wiley Online Library | Cited by 181 |
| 111 | Machine learning for functional protein design | P Notin, N Rollins, Y Gal, C Sander, D Marks - Nature biotechnology, 2024 - nature.com | Cited by 207 |
| 112 | [HTML][HTML] Quantum machine learning: A review and case studies | A Zeguendry, Z Jarir, M Quafafou - Entropy, 2023 - mdpi.com | Cited by 204 |
| 113 | The impact of data normalization on the accuracy of machine learning algorithms: A comparative analysis | K Cabello-Solorzano, I Ortigosa de Araujo… - … conference on soft …, 2023 - Springer | Cited by 204 |
| 114 | Differentiable modelling to unify machine learning and physical models for geosciences | C Shen, AP Appling, P Gentine, T Bandai… - Nature Reviews Earth & …, 2023 - nature.com | Cited by 294 |
| 115 | Towards foundation models for scientific machine learning: Characterizing scaling and transfer behavior | S Subramanian, P Harrington… - Advances in …, 2023 - proceedings.neurips.cc | Cited by 130 |
| 116 | Fairness issues, current approaches, and challenges in machine learning models | TD Jui, P Rivas - International Journal of Machine Learning and …, 2024 - Springer | Cited by 63 |
| 117 | Early detection of Parkinson's disease using machine learning | A Govindu, S Palwe - Procedia Computer Science, 2023 - Elsevier | Cited by 214 |
| 118 | [HTML][HTML] From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare | C Chakraborty, M Bhattacharya, S Pal… - Current Research in …, 2024 - Elsevier | Cited by 194 |
| 119 | Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics | K Hippalgaonkar, Q Li, X Wang, JW Fisher III… - Nature Reviews …, 2023 - nature.com | Cited by 126 |
| 120 | The well: a large-scale collection of diverse physics simulations for machine learning | R Ohana, M McCabe, L Meyer… - Advances in …, 2024 - proceedings.neurips.cc | Cited by 44 |
| 121 | The role of machine learning in cybersecurity | G Apruzzese, P Laskov, E Montes de Oca… - … Threats: Research and …, 2023 - dl.acm.org | Cited by 277 |
| 122 | Machine learning optimization techniques: a survey, classification, challenges, and future research issues | K Bian, R Priyadarshi - Archives of Computational Methods in Engineering, 2024 - Springer | Cited by 96 |
| 123 | [PDF][PDF] Navigating the future: integrating AI and machine learning in hr practices for a digital workforce | CG Okatta, FA Ajayi, O Olawale - Computer science & IT research …, 2024 - researchgate.net | Cited by 132 |
| 124 | Recent advances and application of machine learning in food flavor prediction and regulation | H Ji, D Pu, W Yan, Q Zhang, M Zuo, Y Zhang - Trends in Food Science & …, 2023 - Elsevier | Cited by 138 |
| 125 | When physics meets machine learning: A survey of physics-informed machine learning | C Meng, S Griesemer, D Cao, S Seo, Y Liu - Machine Learning for …, 2025 - Springer | Cited by 164 |
| 126 | Open-world machine learning: applications, challenges, and opportunities | J Parmar, S Chouhan, V Raychoudhury… - ACM Computing …, 2023 - dl.acm.org | Cited by 167 |
| 127 | From pinns to pikans: Recent advances in physics-informed machine learning | JD Toscano, V Oommen, AJ Varghese, Z Zou… - Machine Learning for …, 2025 - Springer | Cited by 112 |
| 128 | [HTML][HTML] A comprehensive review of the applications of machine learning for HVAC | SL Zhou, AA Shah, PK Leung, X Zhu, Q Liao - DeCarbon, 2023 - Elsevier | Cited by 78 |
| 129 | Machine learning-guided protein engineering | P Kouba, P Kohout, F Haddadi, A Bushuiev… - ACS …, 2023 - ACS Publications | Cited by 136 |
| 130 | A systematic review of machine learning methods in software testing | S Ajorloo, A Jamarani, M Kashfi, MH Kashani… - Applied Soft …, 2024 - Elsevier | Cited by 31 |
| 131 | From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment | K Swanson, E Wu, A Zhang, AA Alizadeh, J Zou - Cell, 2023 - cell.com | Cited by 435 |
| 132 | [HTML][HTML] Soil science-informed machine learning | B Minasny, T Bandai, TA Ghezzehei, YC Huang, Y Ma… - Geoderma, 2024 - Elsevier | Cited by 41 |
| 133 | The transformative potential of machine learning for experiments in fluid mechanics | R Vinuesa, SL Brunton, BJ McKeon - Nature Reviews Physics, 2023 - nature.com | Cited by 109 |
| 134 | The benefits and pitfalls of machine learning for biomarker discovery | S Ng, S Masarone, D Watson, MR Barnes - Cell and tissue research, 2023 - Springer | Cited by 118 |
| 135 | [BOOK][B] Machine learning: concepts, techniques and applications | TV Geetha, S Sendhilkumar - 2023 - taylorfrancis.com | Cited by 39 |
| 136 | Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability | LV Herm, K Heinrich, J Wanner, C Janiesch - International Journal of …, 2023 - Elsevier | Cited by 159 |
| 137 | Predicting E-commerce customer satisfaction: Traditional machine learning vs. deep learning approaches | M Zaghloul, S Barakat, A Rezk - Journal of Retailing and Consumer …, 2024 - Elsevier | Cited by 50 |
| 138 | [HTML][HTML] Bias in machine learning: A literature review | K Mavrogiorgos, A Kiourtis, A Mavrogiorgou… - Applied Sciences, 2024 - mdpi.com | Cited by 53 |
| 139 | Application of machine learning in groundwater quality modeling-A comprehensive review | R Haggerty, J Sun, H Yu, Y Li - Water Research, 2023 - Elsevier | Cited by 238 |
| 140 | Applications and techniques of machine learning in cancer classification: a systematic review | A Yaqoob, R Musheer Aziz, NK Verma - Human-Centric Intelligent …, 2023 - Springer | Cited by 110 |
| 141 | [HTML][HTML] Comparative analysis for slope stability by using machine learning methods | YA Nanehkaran, Z Licai, J Chengyong, J Chen… - Applied Sciences, 2023 - mdpi.com | Cited by 109 |
| 142 | Can we predict T cell specificity with digital biology and machine learning? | D Hudson, RA Fernandes, M Basham, G Ogg… - Nature Reviews …, 2023 - nature.com | Cited by 184 |
| 143 | Revolutionizing healthcare: the role of machine learning in the health sector | M Sarker - Journal of Artificial Intelligence General science (JAIGS …, 2024 - ideas.repec.org | Cited by 71 |
| 144 | A comprehensive review of machine learning algorithms and their application in geriatric medicine: present and future | RJ Woodman, AA Mangoni - Aging Clinical and Experimental Research, 2023 - Springer | Cited by 114 |
| 145 | IoT convergence with machine learning & blockchain: A review | E Fazel, MZ Nezhad, J Rezazadeh, M Moradi… - Internet of Things, 2024 - Elsevier | Cited by 42 |
| 146 | [HTML][HTML] Application of machine learning in material synthesis and property prediction | G Huang, Y Guo, Y Chen, Z Nie - Materials, 2023 - mdpi.com | Cited by 90 |
| 147 | Rediscovering orbital mechanics with machine learning | P Lemos, N Jeffrey, M Cranmer, S Ho… - Machine Learning …, 2023 - iopscience.iop.org | Cited by 141 |
| 148 | Machine learning and the politics of synthetic data | BN Jacobsen - Big Data & Society, 2023 - journals.sagepub.com | Cited by 85 |
| 149 | Machine learning in nanozymes: from design to application | Y Gao, Z Zhu, Z Chen, M Guo, Y Zhang, L Wang… - Biomaterials …, 2024 - pubs.rsc.org | Cited by 25 |
| 150 | Machine learning applications in nanomaterials: Recent advances and future perspectives | L Yang, H Wang, D Leng, S Fang, Y Yang… - Chemical Engineering …, 2024 - Elsevier | Cited by 54 |
| 151 | [HTML][HTML] Interpretable machine learning for building energy management: A state-of-the-art review | Z Chen, F Xiao, F Guo, J Yan - Advances in Applied Energy, 2023 - Elsevier | Cited by 268 |
| 152 | Automating Cybersecurity with Machine Learning and Predictive Analytics | GK Karamchand - Journal of Computational Innovation, 2023 - researchworkx.com | Cited by 117 |
| 153 | A review of machine learning applications in life cycle assessment studies | XX Romeiko, X Zhang, Y Pang, F Gao, M Xu… - Science of The Total …, 2024 - Elsevier | Cited by 66 |
| 154 | [HTML][HTML] Machine learning for anomaly detection in particle physics | V Belis, P Odagiu, TK Aarrestad - Reviews in Physics, 2024 - Elsevier | Cited by 76 |
| 155 | Accelerating the prediction of stable materials with machine learning | SD Griesemer, Y Xia, C Wolverton - Nature Computational Science, 2023 - nature.com | Cited by 67 |
| 156 | [HTML][HTML] Precision machine learning | EJ Michaud, Z Liu, M Tegmark - Entropy, 2023 - mdpi.com | Cited by 60 |
| 157 | Leaf disease detection using machine learning and deep learning: Review and challenges | C Sarkar, D Gupta, U Gupta, BB Hazarika - Applied Soft Computing, 2023 - Elsevier | Cited by 199 |
| 158 | The significance of machine learning and deep learning techniques in cybersecurity: A comprehensive review | MM Mijwil, IE Salem… - Iraqi Journal For …, 2023 - ijcsm.researchcommons.org | Cited by 148 |
| 159 | [HTML][HTML] Review of machine learning in robotic grasping control in space application | H Jahanshahi, ZH Zhu - Acta Astronautica, 2024 - Elsevier | Cited by 71 |
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| 161 | Progress and opportunities for machine learning in materials and processes of additive manufacturing | WL Ng, GL Goh, GD Goh, JSJ Ten… - Advanced …, 2024 - Wiley Online Library | Cited by 160 |
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| 163 | Characterizing uncertainty in machine learning for chemistry | E Heid, CJ McGill, FH Vermeire… - Journal of Chemical …, 2023 - ACS Publications | Cited by 67 |
| 164 | [HTML][HTML] Machine learning and artificial intelligence in neuroscience: A primer for researchers | F Badrulhisham, E Pogatzki-Zahn, D Segelcke… - Brain, Behavior, and …, 2024 - Elsevier | Cited by 74 |
| 165 | A practical guide to machine learning interatomic potentials–Status and future | R Jacobs, D Morgan, S Attarian, J Meng, C Shen… - Current Opinion in Solid …, 2025 - Elsevier | Cited by 63 |
| 166 | [HTML][HTML] Battery safety: Machine learning-based prognostics | J Zhao, X Feng, Q Pang, M Fowler, Y Lian… - Progress in Energy and …, 2024 - Elsevier | Cited by 135 |
| 167 | Machine learning methodology for identifying vehicles using image processing | M Hasanvand, M Nooshyar… - Artificial Intelligence …, 2023 - ojs.bonviewpress.com | Cited by 142 |
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| 171 | Machine learning and deep learning—A review for ecologists | M Pichler, F Hartig - Methods in Ecology and Evolution, 2023 - Wiley Online Library | Cited by 334 |
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| 176 | Using machine learning to individualize treatment effect estimation: challenges and opportunities | A Curth, RW Peck, E McKinney… - Clinical …, 2024 - Wiley Online Library | Cited by 33 |
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| 178 | Catalysis in the digital age: Unlocking the power of data with machine learning | BM Abraham, MV Jyothirmai, P Sinha… - Wiley …, 2024 - Wiley Online Library | Cited by 37 |
| 179 | Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges | Y Xu, S Kohtz, J Boakye, P Gardoni, P Wang - Reliability Engineering & …, 2023 - Elsevier | Cited by 301 |
| 180 | Crop yield prediction using machine learning techniques | S Iniyan, VA Varma, CT Naidu - Advances in Engineering Software, 2023 - Elsevier | Cited by 159 |
| 181 | [HTML][HTML] Application of machine learning for composite moulding process modelling | Y Wang, S Xu, KH Bwar, B Eisenbart, G Lu… - Composites …, 2024 - Elsevier | Cited by 55 |
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| 207 | Machine learning and AI in cancer prognosis, prediction, and treatment selection: a critical approach | B Zhang, H Shi, H Wang - Journal of multidisciplinary healthcare, 2023 - Taylor & Francis | Cited by 274 |
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| 241 | Learning machine learning with young children: Exploring informal settings in an African context | IT Sanusi, K Sunday, SS Oyelere… - Computer Science …, 2024 - Taylor & Francis | Cited by 35 |
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| 433 | A review on the application of computer vision and machine learning in the tea industry | H Wang, J Gu, M Wang - Frontiers in Sustainable Food Systems, 2023 - frontiersin.org | Cited by 68 |
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| 448 | Predicting open interest in thermal coal futures using machine learning | B Jin, X Xu - Mineral Economics, 2024 - Springer | Cited by 36 |
| 449 | Machine learning interatomic potentials and long-range physics | DM Anstine, O Isayev - The Journal of Physical Chemistry A, 2023 - ACS Publications | Cited by 179 |
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| 451 | Recent advances in algal bloom detection and prediction technology using machine learning | J Park, K Patel, WH Lee - Science of The Total Environment, 2024 - Elsevier | Cited by 41 |
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| 606 | IntelliGenes: a novel machine learning pipeline for biomarker discovery and predictive analysis using multi-genomic profiles | W DeGroat, D Mendhe, A Bhusari, H Abdelhalim… - …, 2023 - academic.oup.com | Cited by 142 |
| 607 | Comparative analysis of intrusion detection systems and machine learning-based model analysis through decision tree | Z Azam, MM Islam, MN Huda - Ieee Access, 2023 - ieeexplore.ieee.org | Cited by 225 |
| 608 | [HTML][HTML] A performance analysis of dimensionality reduction algorithms in machine learning models for cancer prediction | MF Kabir, T Chen, SA Ludwig - Healthcare Analytics, 2023 - Elsevier | Cited by 95 |
| 609 | Heart disease classification based on ECG using machine learning models | SM Malakouti - Biomedical Signal Processing and Control, 2023 - Elsevier | Cited by 113 |
| 610 | Predicting sentiment and rating of tourist reviews using machine learning | K Puh, M Bagić Babac - Journal of hospitality and tourism insights, 2023 - emerald.com | Cited by 128 |
| 611 | Forecasting of solar radiation using different machine learning approaches | V Demir, H Citakoglu - Neural Computing and Applications, 2023 - Springer | Cited by 121 |
| 612 | AI and machine learning in predictive data architecture | VK Ravi, SR Cheruku - International Research Journal of …, 2024 - papers.ssrn.com | Cited by 32 |
| 613 | Integrating machine learning and model predictive control for automotive applications: A review and future directions | A Norouzi, H Heidarifar, H Borhan… - … Applications of Artificial …, 2023 - Elsevier | Cited by 125 |
| 614 | Algorithmic collective action in machine learning | M Hardt, E Mazumdar… - … Machine Learning, 2023 - proceedings.mlr.press | Cited by 30 |
| 615 | Uncovering the limits of machine learning for automatic vulnerability detection | N Risse, M Böhme - … USENIX Security Symposium (USENIX Security 24), 2024 - usenix.org | Cited by 28 |
| 616 | Applications of machine learning in supercritical fluids research | L Roach, GM Rignanese, A Erriguible… - The Journal of …, 2023 - Elsevier | Cited by 34 |
| 617 | [HTML][HTML] Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study | SA Salloum, A Bettayeb, A Salloum, A Aburayya… - Informatics in Medicine …, 2023 - Elsevier | Cited by 82 |
| 618 | Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment | M Squires, X Tao, S Elangovan, R Gururajan, X Zhou… - Brain Informatics, 2023 - Springer | Cited by 123 |
| 619 | Hybrid machine learning models to detect signs of depression | S Khan, S Alqahtani - Multimedia Tools and Applications, 2024 - Springer | Cited by 49 |
| 620 | Using machine learning for crop yield prediction in the past or the future | A Morales, FJ Villalobos - Frontiers in Plant Science, 2023 - frontiersin.org | Cited by 124 |
| 621 | Current status and future directions: the application of artificial intelligence/machine learning for precision medicine | K Naik, RK Goyal, L Foschini, CW Chak… - Clinical …, 2024 - Wiley Online Library | Cited by 55 |
| 622 | Analysis of intrusion detection systems in UNSW-NB15 and NSL-KDD datasets with machine learning algorithms | F Türk - Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 2023 - dergipark.org.tr | Cited by 48 |
| 623 | A review of machine learning methods used for educational data | Z Ersozlu, S Taheri, I Koch - Education and Information Technologies, 2024 - Springer | Cited by 39 |
| 624 | Machine learning-assisted low-dimensional electrocatalysts design for hydrogen evolution reaction | J Li, N Wu, J Zhang, HH Wu, K Pan, Y Wang, G Liu… - Nano-Micro Letters, 2023 - Springer | Cited by 147 |
| 625 | Machine learning price index forecasts of flat steel products: B. Jin and X. Xu | B Jin, X Xu - Mineral Economics, 2025 - Springer | Cited by 41 |
| 626 | Internet of things and machine learning-integrated smart robotics | BU Maheswari, SS Imambi, D Hasan… - … on Robotics and …, 2023 - igi-global.com | Cited by 63 |
| 627 | Medical-informed machine learning: integrating prior knowledge into medical decision systems | C Sirocchi, A Bogliolo, S Montagna - BMC Medical Informatics and …, 2024 - Springer | Cited by 47 |
| 628 | Machine-learning atomic simulation for heterogeneous catalysis | D Chen, C Shang, ZP Liu - npj Computational Materials, 2023 - nature.com | Cited by 72 |
| 629 | Advances in machine learning and deep learning applications towards wafer map defect recognition and classification: a review | T Kim, K Behdinan - Journal of Intelligent Manufacturing, 2023 - Springer | Cited by 95 |
| 630 | [PDF][PDF] Machine learning for intrusion detection in cloud environments: A comparative study | QO Ahmed - Journal of Artificial Intelligence General science …, 2024 - researchgate.net | Cited by 46 |
| 631 | [PDF][PDF] Utilizing machine learning to reassess the predictability of bank stocks | H Antonopoulou… - Emerging Science …, 2023 - pdfs.semanticscholar.org | Cited by 38 |
| 632 | [HTML][HTML] Analyzing sentiments regarding ChatGPT using novel BERT: A machine learning approach | M Mujahid, F Rustam, R Shafique, V Chunduri… - Information, 2023 - mdpi.com | Cited by 53 |
| 633 | The role of machine learning in enhancing computer vision processing | C Guo, Y Zhao, T Liu, C Yang - … ВОПРОСЫ СОВРЕМЕННЫХ НАУЧНЫХ …, 2023 - elibrary.ru | Cited by 25 |
| 634 | [HTML][HTML] Application of machine learning in fuel cell research | D Su, J Zheng, J Ma, Z Dong, Z Chen, Y Qin - Energies, 2023 - mdpi.com | Cited by 33 |
| 635 | An adaptive learning environment for programming based on fuzzy logic and machine learning | K Chrysafiadi, M Virvou, GA Tsihrintzis… - … Journal on Artificial …, 2023 - World Scientific | Cited by 42 |
| 636 | [HTML][HTML] Common statistical concepts in the supervised Machine Learning arena | HH Rashidi, S Albahra, S Robertson, NK Tran… - Frontiers in …, 2023 - frontiersin.org | Cited by 40 |
| 637 | [HTML][HTML] A machine learning approach to predicting academic performance in Pennsylvania's schools | S Chen, Y Ding - Social Sciences, 2023 - mdpi.com | Cited by 55 |
| 638 | ASD Diagnosis in Children, Adults, and Adolescents using Various Machine Learning Techniques | P Rawat, M Bajaj, S Vats… - … Conference on Device …, 2023 - ieeexplore.ieee.org | Cited by 42 |
| 639 | Informing immunotherapy with multi-omics driven machine learning | Y Li, X Wu, D Fang, Y Luo - npj Digital Medicine, 2024 - nature.com | Cited by 48 |
| 640 | Comparative analysis of crop diseases detection using machine learning algorithm | P Jha, D Dembla, W Dubey - 2023 Third International …, 2023 - ieeexplore.ieee.org | Cited by 79 |
| 641 | [HTML][HTML] Predicting maritime accident risk using Automated Machine Learning | ZH Munim, MA Sørli, H Kim, I Alon - Reliability Engineering & System Safety, 2024 - Elsevier | Cited by 52 |
| 642 | Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis | AKVN Biju, AS Thomas, J Thasneem - Quality & Quantity, 2023 - pmc.ncbi.nlm.nih.gov | Cited by 94 |
| 643 | A novel hybrid machine learning model for prediction of CO2 using socio-economic and energy attributes for climate change monitoring and mitigation policies | S Kumar - Ecological informatics, 2023 - Elsevier | Cited by 44 |
| 644 | [HTML][HTML] Effective handling of missing values in datasets for classification using machine learning methods | A Palanivinayagam, R Damaševičius - Information, 2023 - mdpi.com | Cited by 67 |
| 645 | [HTML][HTML] A review of hydrodynamic and machine learning approaches for flood inundation modeling | F Karim, MA Armin, D Ahmedt-Aristizabal… - Water, 2023 - mdpi.com | Cited by 106 |
| 646 | [HTML][HTML] Enhancing smart-contract security through machine learning: A survey of approaches and techniques | F Jiang, K Chao, J Xiao, Q Liu, K Gu, J Wu, Y Cao - Electronics, 2023 - mdpi.com | Cited by 39 |
| 647 | [HTML][HTML] SEM-machine learning-based model for perusing the adoption of metaverse in higher education in UAE | Y Shaalan - International Journal of Data and Network Science, 2023 - academia.edu | Cited by 125 |
| 648 | Comparison of three machine learning algorithms using google earth engine for land use land cover classification | Z Zhao, F Islam, LA Waseem, A Tariq, M Nawaz… - Rangeland ecology & …, 2024 - Elsevier | Cited by 198 |
| 649 | [HTML][HTML] Machine learning-based method for predicting compressive strength of concrete | D Li, Z Tang, Q Kang, X Zhang, Y Li - Processes, 2023 - mdpi.com | Cited by 87 |
| 650 | [HTML][HTML] Energy poverty prediction in the United Kingdom: A machine learning approach | D Al Kez, A Foley, ZK Abdul, DF Del Rio - Energy Policy, 2024 - Elsevier | Cited by 32 |
| 651 | Machine learning and deep learning for brain tumor MRI image segmentation | MKH Khan, W Guo, J Liu, F Dong, Z Li… - Experimental …, 2023 - journals.sagepub.com | Cited by 43 |
| 652 | [HTML][HTML] A machine learning method for the prediction of ship motion trajectories in real operational conditions | M Zhang, P Kujala, M Musharraf, J Zhang, S Hirdaris - Ocean Engineering, 2023 - Elsevier | Cited by 95 |
| 653 | Machine learning in radiology: the new frontier in interstitial lung diseases | H Barnes, SM Humphries, PM George… - The Lancet Digital …, 2023 - thelancet.com | Cited by 82 |
| 654 | Machine-learning-based monitoring and optimization of processing parameters in 3D printing | TS Tamir, G Xiong, Q Fang, Y Yang… - … Journal of Computer …, 2023 - Taylor & Francis | Cited by 100 |
| 655 | [HTML][HTML] Birthweight range prediction and classification: A machine learning-based sustainable approach | DA Alabbad, SY Ajibi, RB Alotaibi, NK Alsqer… - Machine Learning and …, 2024 - mdpi.com | Cited by 27 |
| 656 | Photonic machine learning with on-chip diffractive optics | T Fu, Y Zang, Y Huang, Z Du, H Huang, C Hu… - Nature …, 2023 - nature.com | Cited by 237 |
| 657 | Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review | SD Datta, M Islam, MHR Sobuz, S Ahmed, M Kar - Heliyon, 2024 - cell.com | Cited by 139 |
| 658 | [HTML][HTML] Survey of transfer learning approaches in the machine learning of digital health sensing data | L Chato, E Regentova - Journal of personalized medicine, 2023 - mdpi.com | Cited by 39 |
| 659 | Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems | H Alqahtani, G Kumar - Engineering Applications of Artificial Intelligence, 2024 - Elsevier | Cited by 95 |
| 660 | Toward secured IoT-based smart systems using machine learning | MS Abdalzaher, MM Fouda, HA Elsayed… - IEEE access, 2023 - ieeexplore.ieee.org | Cited by 62 |
| 661 | Applying machine learning algorithms to predict the stock price trend in the stock market–The case of Vietnam | T Phuoc, PTK Anh, PH Tam, CV Nguyen - Humanities and Social …, 2024 - nature.com | Cited by 68 |
| 662 | [PDF][PDF] Involving machine learning techniques in heart disease diagnosis: a performance analysis | BS Shukur, MM Mijwil - International Journal of Electrical and …, 2023 - academia.edu | Cited by 57 |
| 663 | [HTML][HTML] Machine learning meets advanced robotic manipulation | S Nahavandi, R Alizadehsani, D Nahavandi, CP Lim… - Information …, 2024 - Elsevier | Cited by 28 |
| 664 | Applications of artificial intelligence and machine learning in the financial services industry: A bibliometric review | D Pattnaik, S Ray, R Raman - Heliyon, 2024 - cell.com | Cited by 118 |
| 665 | [HTML][HTML] A supervised machine learning algorithm for detecting and predicting fraud in credit card transactions | JK Afriyie, K Tawiah, WA Pels, S Addai-Henne… - Decision Analytics …, 2023 - Elsevier | Cited by 187 |
| 666 | A review of machine learning methods applied to structural dynamics and vibroacoustic | BZ Cunha, C Droz, AM Zine, S Foulard… - Mechanical Systems and …, 2023 - Elsevier | Cited by 158 |
| 667 | Machine learning for human emotion recognition: a comprehensive review | EMG Younis, S Mohsen, EH Houssein… - Neural Computing and …, 2024 - Springer | Cited by 42 |
| 668 | [PDF][PDF] Artificial intelligence and machine learning in pharmacological research: bridging the gap between data and drug discovery | S Singh, R Kumar, S Payra, SK Singh - Cureus, 2023 - cureus.com | Cited by 157 |
| 669 | Machine learning in membrane design: From property prediction to AI-guided optimization | Z Cao, O Barati Farimani, J Ock, A Barati Farimani - Nano letters, 2024 - ACS Publications | Cited by 35 |
| 670 | Machine learning-based approach for predicting low birth weight | A Ranjbar, F Montazeri, MV Farashah… - BMC Pregnancy and …, 2023 - Springer | Cited by 39 |
| 671 | The smart analysis of machine learning-based diagnostics model of cardiovascular diseases in patients | J Mistry, SC Patil, B Muniandi, N Jiwani… - … IEEE Technology & …, 2023 - ieeexplore.ieee.org | Cited by 35 |
| 672 | {SecretFlow-SPU}: A performant and {User-Friendly} framework for {Privacy-Preserving} machine learning | J Ma, Y Zheng, J Feng, D Zhao, H Wu, W Fang… - 2023 USeNIX annual …, 2023 - usenix.org | Cited by 63 |
| 673 | [HTML][HTML] Machine learning for enhanced credit risk assessment: An empirical approach | N Suhadolnik, J Ueyama, S Da Silva - Journal of Risk and Financial …, 2023 - mdpi.com | Cited by 40 |
| 674 | [HTML][HTML] Smartfix: Leveraging machine learning for proactive equipment maintenance in industry 4.0 | F Ni, H Zang, Y Qiao - … in education: prospects and challenges of …, 2024 - books.google.com | Cited by 37 |
| 675 | [HTML][HTML] Electric vehicle charging system in the smart grid using different machine learning methods | T Mazhar, RN Asif, MA Malik, MA Nadeem, I Haq… - Sustainability, 2023 - mdpi.com | Cited by 135 |
| 676 | [HTML][HTML] A review for green energy machine learning and AI services | Y Mehta, R Xu, B Lim, J Wu, J Gao - Energies, 2023 - mdpi.com | Cited by 32 |
| 677 | [HTML][HTML] Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models | CLA Navarro, JAA Damen, M van Smeden… - Journal of Clinical …, 2023 - Elsevier | Cited by 96 |
| 678 | Artificial intelligence and machine learning for quantum technologies | M Krenn, J Landgraf, T Foesel, F Marquardt - Physical Review A, 2023 - APS | Cited by 180 |
| 679 | [HTML][HTML] Machine-learning-aided thermochemical treatment of biomass: a review | H Li, J Chen, W Zhang, H Zhan, C He… - Biofuel Research …, 2023 - biofueljournal.com | Cited by 109 |
| 680 | [HTML][HTML] Using Machine Learning to make nanomaterials sustainable | JJ Scott-Fordsmand, MJB Amorim - Science of The Total Environment, 2023 - Elsevier | Cited by 43 |
| 681 | Best practices in supervised machine learning: A tutorial for psychologists | F Pargent, R Schoedel, C Stachl - Advances in Methods and …, 2023 - journals.sagepub.com | Cited by 100 |
| 682 | Recent developments in modeling, imaging, and monitoring of cardiovascular diseases using machine learning | H Moradi, A Al-Hourani, G Concilia, F Khoshmanesh… - Biophysical …, 2023 - Springer | Cited by 58 |
| 683 | Chemistry-informed machine learning for polymer electrolyte discovery | G Bradford, J Lopez, J Ruza, MA Stolberg… - ACS Central …, 2023 - ACS Publications | Cited by 99 |
| 684 | Impacts of 5G Machine Learning Techniques on Telemedicine and Social Media Professional Connection in Healthcare | PSS Sreedhar, V Sujay, MR Rani, L Melita… - … Trends Using Social …, 2024 - igi-global.com | Cited by 45 |
| 685 | Machine learning bridges omics sciences and plant breeding | J Yan, X Wang - Trends in Plant Science, 2023 - cell.com | Cited by 116 |
| 686 | Integrating artificial intelligence, machine learning, and deep learning approaches into remediation of contaminated sites: A review | JK Janga, KR Reddy, K Raviteja - Chemosphere, 2023 - Elsevier | Cited by 63 |
| 687 | Ransomware classification using btls algorithm and machine learning approaches | S Wasoye, M Stevens, C Morgan, D Hughes, J Walker - 2024 - researchsquare.com | Cited by 67 |
| 688 | Hybrid‐NET: a fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis | SUR Khan, M Zhao, S Asif… - International Journal of …, 2024 - Wiley Online Library | Cited by 123 |
| 689 | [HTML][HTML] Water quality prediction based on machine learning and comprehensive weighting methods | X Wang, Y Li, Q Qiao, A Tavares, Y Liang - Entropy, 2023 - mdpi.com | Cited by 75 |
| 690 | Prediction of Depression Severity and Personalised Risk Factors Using Machine Learning on Multimodal Data. | A Ayodele, A Adetunla… - International Journal of …, 2024 - search.ebscohost.com | Cited by 103 |
| 691 | Copyright law and the lifecycle of machine learning models | M Kretschmer, T Margoni, P Oruç - IIC-International Review of Intellectual …, 2024 - Springer | Cited by 45 |
| 692 | [PDF][PDF] Transforming cardiac care: AI and machine learning innovations | MT Ali, U Ali, S Ali, H Tanveer - International …, 2024 - allmultidisciplinaryjournal.com | Cited by 35 |
| 693 | Groundwater level forecasting with machine learning models: A review | KBW Boo, A El-Shafie, F Othman, MMH Khan… - Water Research, 2024 - Elsevier | Cited by 54 |
| 694 | [HTML][HTML] Performance analysis of the water quality index model for predicting water state using machine learning techniques | MG Uddin, S Nash, A Rahman, AI Olbert - Process Safety and …, 2023 - Elsevier | Cited by 249 |
| 695 | Optimizing Web Interfaces with AI-Generated CSS Through Machine Learning and Deep Learning | R Bhutia, SAK Dave, IR Mallela, R Mall… - … on System Modeling …, 2024 - ieeexplore.ieee.org | Cited by 42 |
| 696 | [HTML][HTML] Machine learning in clinical trials: a primer with applications to neurology | MI Miller, LC Shih, VB Kolachalama - Neurotherapeutics, 2023 - Elsevier | Cited by 46 |
| 697 | Topology optimization via machine learning and deep learning: a review | S Shin, D Shin, N Kang - Journal of Computational Design and …, 2023 - academic.oup.com | Cited by 137 |
| 698 | [HTML][HTML] Machine learning applications in optical fiber sensing: A research agenda | E Reyes-Vera, A Valencia-Arias, V García-Pineda… - Sensors, 2024 - mdpi.com | Cited by 35 |
| 699 | Machine learning‐assisted property prediction of solid‐state electrolyte | J Li, M Zhou, HH Wu, L Wang, J Zhang… - Advanced Energy …, 2024 - Wiley Online Library | Cited by 100 |
| 700 | [HTML][HTML] Supply chain risk management with machine learning technology: A literature review and future research directions | M Yang, MK Lim, Y Qu, D Ni, Z Xiao - Computers & Industrial Engineering, 2023 - Elsevier | Cited by 132 |
| 701 | [HTML][HTML] Use of machine learning techniques in soil classification | Y Aydın, Ü Işıkdağ, G Bekdaş, SM Nigdeli, ZW Geem - Sustainability, 2023 - mdpi.com | Cited by 69 |
| 702 | RAGN-R: A multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materials | F Kazemi, AӦ Çiftçioğlu, T Shafighfard… - Computers & …, 2025 - Elsevier | Cited by 42 |
| 703 | Interpretable machine learning for dementia: a systematic review | SA Martin, FJ Townend, F Barkhof… - Alzheimer's & …, 2023 - Wiley Online Library | Cited by 93 |
| 704 | Prediction heavy metals accumulation risk in rice using machine learning and mapping pollution risk | B Zhao, W Zhu, S Hao, M Hua, Q Liao, Y Jing… - Journal of Hazardous …, 2023 - Elsevier | Cited by 97 |
| 705 | Hematology and machine learning | AE Obstfeld - The Journal of Applied Laboratory Medicine, 2023 - academic.oup.com | Cited by 37 |
| 706 | [HTML][HTML] Machine learning-based design for additive manufacturing in biomedical engineering | C Wu, B Wan, A Entezari, J Fang, Y Xu, Q Li - International Journal of …, 2024 - Elsevier | Cited by 53 |
| 707 | [PDF][PDF] A State-of-the-Art Review on Machine Learning-Based Multiscale Modeling, Simulation, Homogenization and Design of Materials. | D Bishara, Y Xie, WK Liu, S Li - Archives of computational methods …, 2023 - researchgate.net | Cited by 172 |
| 708 | [HTML][HTML] Revolutionizing market surveillance: customer relationship management with machine learning | X Shi, Y Zhang, M Yu, L Zhang - PeerJ Computer Science, 2024 - peerj.com | Cited by 31 |
| 709 | Machine learning models to accelerate the design of polymeric long-acting injectables | P Bannigan, Z Bao, RJ Hickman, M Aldeghi… - Nature …, 2023 - nature.com | Cited by 159 |
| 710 | [HTML][HTML] Machine learning approaches in predicting allosteric sites | F Nerin-Fonz, Z Cournia - Current Opinion in Structural Biology, 2024 - Elsevier | Cited by 36 |
| 711 | Acoustic fish species identification using deep learning and machine learning algorithms: A systematic review | A Yassir, SJ Andaloussi, O Ouchetto, K Mamza… - Fisheries …, 2023 - Elsevier | Cited by 45 |
| 712 | A survey of bone abnormalities detection using machine learning algorithms | AMA Barhoom, MR Jubair… - PROCEEDINGS OF THE …, 2023 - pubs.aip.org | Cited by 45 |
| 713 | Harnessing machine learning to find synergistic combinations for FDA-approved cancer drugs | T Abd El-Hafeez, MY Shams, YAMM Elshaier… - Scientific reports, 2024 - nature.com | Cited by 63 |
| 714 | Development and application of traditional Chinese medicine using AI machine learning and deep learning strategies | D Pan, Y Guo, Y Fan, H Wan - The American Journal of Chinese …, 2024 - World Scientific | Cited by 35 |
| 715 | [HTML][HTML] Application of machine learning in automatic image identification of insects-a review | Y Gao, X Xue, G Qin, K Li, J Liu, Y Zhang, X Li - Ecological Informatics, 2024 - Elsevier | Cited by 40 |
| 716 | Physics-informed machine learning for battery degradation diagnostics: A comparison of state-of-the-art methods | S Navidi, A Thelen, T Li, C Hu - Energy Storage Materials, 2024 - Elsevier | Cited by 48 |
| 717 | Data cleaning and machine learning: a systematic literature review | PO Côté, A Nikanjam, N Ahmed, D Humeniuk… - Automated Software …, 2024 - Springer | Cited by 90 |
| 718 | [HTML][HTML] How machine learning is used to study addiction in digital healthcare: A systematic review | B Chhetri, LM Goyal, M Mittal - International Journal of Information …, 2023 - Elsevier | Cited by 59 |
| 719 | Oil spill classification using Machine learning | KK Ravulakollu, R Dewan, K Verma… - … on Computing for …, 2024 - ieeexplore.ieee.org | Cited by 63 |
| 720 | [HTML][HTML] Machine learning approaches to predict compressive strength of fly ash-based geopolymer concrete: A comprehensive review | M Rathnayaka, D Karunasinghe, C Gunasekara… - … and Building Materials, 2024 - Elsevier | Cited by 88 |
| 721 | [HTML][HTML] Comparative study of machine learning methods and GR2M model for monthly runoff prediction | P Ditthakit, S Pinthong, N Salaeh, J Weekaew… - Ain Shams Engineering …, 2023 - Elsevier | Cited by 49 |
| 722 | The Role of AI and Machine Learning in Optimising Cloud Migration Processes. | G Simuni, A Atla - … of Business Analytics & Intelligence (IJBAI …, 2024 - search.ebscohost.com | Cited by 28 |
| 723 | Application of Deep Neural Networks and Machine Learning algorithms for diagnosis of Brain tumour | S Wani, S Ahuja, A Kumar - 2023 International Conference on …, 2023 - ieeexplore.ieee.org | Cited by 60 |
| 724 | " We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning | S Shankar, R Garcia, JM Hellerstein… - Proceedings of the …, 2024 - dl.acm.org | Cited by 30 |
| 725 | [HTML][HTML] Metaverse and healthcare: Machine learning-enabled digital twins of cancer | O Moztarzadeh, M Jamshidi, S Sargolzaei, A Jamshidi… - Bioengineering, 2023 - mdpi.com | Cited by 117 |
| 726 | How to dp-fy ml: A practical guide to machine learning with differential privacy | N Ponomareva, H Hazimeh, A Kurakin, Z Xu… - Journal of Artificial …, 2023 - jair.org | Cited by 278 |
| 727 | Comparing BERT against traditional machine learning models in text classification | EC Garrido-Merchan… - Journal of …, 2023 - ojs.bonviewpress.com | Cited by 125 |
| 728 | Investigation of emergency department abandonment rates using machine learning algorithms in a single centre study | MR Marino, TA Trunfio, AM Ponsiglione, F Amato… - Scientific Reports, 2024 - nature.com | Cited by 26 |
| 729 | Intelligent decision support systems in construction engineering: An artificial intelligence and machine learning approaches | A Waqar - Expert Systems with Applications, 2024 - Elsevier | Cited by 65 |
| 730 | Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning | H Hu, J Xu, M Liu, MK Lim - Journal of business research, 2023 - Elsevier | Cited by 184 |
| 731 | Subtleties in the trainability of quantum machine learning models | S Thanasilp, S Wang, NA Nghiem, P Coles… - Quantum Machine …, 2023 - Springer | Cited by 105 |
| 732 | Application of machine learning in polymer additive manufacturing: A review | T Nasrin, F Pourkamali‐Anaraki… - Journal of Polymer …, 2024 - Wiley Online Library | Cited by 58 |
| 733 | A mechanistic review on machine learning-supported detection and analysis of volatile organic compounds for food quality and safety | Y Feng, Y Wang, B Beykal, M Qiao, Z Xiao… - Trends in Food Science & …, 2024 - Elsevier | Cited by 63 |
| 734 | [HTML][HTML] Customer churning analysis using machine learning algorithms | B Prabadevi, R Shalini, BR Kavitha - International Journal of Intelligent …, 2023 - Elsevier | Cited by 90 |
| 735 | Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations | D Doudesis, KK Lee, J Boeddinghaus, A Bularga… - Nature Medicine, 2023 - nature.com | Cited by 120 |
| 736 | Machine learning with computer networks: techniques, datasets, and models | H Afifi, S Pochaba, A Boltres, D Laniewski… - IEEE …, 2024 - ieeexplore.ieee.org | Cited by 24 |
| 737 | Artificial intelligence based models to support water quality prediction using machine learning approach | P William, OJ Oyebode, G Ramu… - … on Circuit Power …, 2023 - ieeexplore.ieee.org | Cited by 99 |
| 738 | Machine learning-based time series models for effective CO2 emission prediction in India | S Kumari, SK Singh - Environmental Science and Pollution Research, 2023 - Springer | Cited by 176 |
| 739 | Machine learning-based predictive modelling for the enhancement of wine quality | K Jain, K Kaushik, SK Gupta, S Mahajan, S Kadry - Scientific Reports, 2023 - nature.com | Cited by 58 |
| 740 | Convergence of evolving artificial intelligence and machine learning techniques in precision oncology | E Fountzilas, T Pearce, MA Baysal, A Chakraborty… - NPJ Digital …, 2025 - nature.com | Cited by 58 |
| 741 | Web application based Diabetes prediction using Machine Learning | GR Kumar, RV Reddy, N Pughazendi… - … on Advances in …, 2023 - ieeexplore.ieee.org | Cited by 56 |
| 742 | Stability of clinical prediction models developed using statistical or machine learning methods | RD Riley, GS Collins - Biometrical Journal, 2023 - Wiley Online Library | Cited by 114 |
| 743 | [HTML][HTML] Recent advancements in computational drug design algorithms through machine learning and optimization | S Choudhuri, M Yendluri, S Poddar, A Li… - Kinases and …, 2023 - mdpi.com | Cited by 52 |
| 744 | [HTML][HTML] Evaluation of machine learning algorithms for malware detection | MS Akhtar, T Feng - Sensors, 2023 - mdpi.com | Cited by 68 |
| 745 | [HTML][HTML] A comprehensive survey of machine learning techniques and models for object detection | M Trigka, E Dritsas - Sensors, 2025 - mdpi.com | Cited by 25 |
| 746 | Machine-learning the skill of mutual fund managers | R Kaniel, Z Lin, M Pelger… - Journal of Financial …, 2023 - Elsevier | Cited by 120 |
| 747 | [HTML][HTML] Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities | TT Khuat, R Bassett, E Otte, A Grevis-James… - Computers & Chemical …, 2024 - Elsevier | Cited by 49 |
| 748 | Structural Health Monitoring for impact localisation via machine learning | F Dipietrangelo, F Nicassio, G Scarselli - Mechanical Systems and Signal …, 2023 - Elsevier | Cited by 67 |
| 749 | [HTML][HTML] Explainable AI for machine fault diagnosis: understanding features' contribution in machine learning models for industrial condition monitoring | E Brusa, L Cibrario, C Delprete, LG Di Maggio - Applied Sciences, 2023 - mdpi.com | Cited by 109 |
| 750 | [PDF][PDF] Analyzing socio-academic factors and predictive modeling of student performance using machine learning techniques | R Al-Ali, K Alhumaid, M Khalifa, SA Salloum… - Emerg Sci J, 2024 - researchgate.net | Cited by 29 |
| 751 | Machine learning-based seismic response and performance assessment of reinforced concrete buildings | F Kazemi, N Asgarkhani, R Jankowski - Archives of Civil and Mechanical …, 2023 - Springer | Cited by 182 |
| 752 | Triboelectric nanogenerators with machine learning for internet of things | J Yang, K Hong, Y Hao, X Zhu, Y Qin… - Advanced Materials …, 2025 - Wiley Online Library | Cited by 30 |
| 753 | Machine learning in chemical engineering: Hands-on activities | V Lavor, F de Come, MT dos Santos… - Education for Chemical …, 2024 - Elsevier | Cited by 26 |
| 754 | A comprehensive review for chronic disease prediction using machine learning algorithms | R Islam, A Sultana, MR Islam - Journal of Electrical Systems and …, 2024 - Springer | Cited by 36 |
| 755 | Return to tradition: Learning reliable heuristics with classical machine learning | DZ Chen, F Trevizan, S Thiébaux - Proceedings of the International …, 2024 - ojs.aaai.org | Cited by 28 |
| 756 | Machine learning in healthcare analytics: a state-of-the-art review | S Das, SP Nayak, B Sahoo, SC Nayak - Archives of Computational …, 2024 - Springer | Cited by 36 |
| 757 | [PDF][PDF] A study on the application of machine learning and deep learning techniques for skin cancer detection | H Ghosh, IS Rahat, SN Mohanty… - … Journal of Computer …, 2024 - researchgate.net | Cited by 70 |
| 758 | [PDF][PDF] Anomaly detection in cloud networks using machine learning algorithms | VR Gudelli - African Journal of Artificial Intelligence and …, 2024 - researchgate.net | Cited by 33 |
| 759 | Application of machine learning in predicting survival outcomes involving real-world data: a scoping review | Y Huang, J Li, M Li, RR Aparasu - BMC medical research methodology, 2023 - Springer | Cited by 72 |
| 760 | Machine learning-driven Internet of Things (MLIoT)-based healthcare monitoring system | KSL Kazi, MA Mahant - Digitalization and the Transformation of the …, 2025 - igi-global.com | Cited by 32 |
| 761 | [HTML][HTML] Machine learning aided nanoindentation: A review of the current state and future perspectives | ES Puchi-Cabrera, E Rossi, G Sansonetti… - Current Opinion in Solid …, 2023 - Elsevier | Cited by 51 |
| 762 | Machine learning in laboratory medicine: recommendations of the IFCC working group | SR Master, TC Badrick, A Bietenbeck… - Clinical …, 2023 - academic.oup.com | Cited by 44 |
| 763 | Classic machine learning methods | J Faouzi, O Colliot - Machine learning for brain disorders, 2023 - Springer | Cited by 31 |
| 764 | Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review | Z Zhao, JH Chuah, KW Lai, CO Chow… - Frontiers in …, 2023 - frontiersin.org | Cited by 117 |
| 765 | Machine learning-assisted optical nano-sensor arrays in microorganism analysis | J Yang, S Lu, B Chen, F Hu, C Li, C Guo - TrAC Trends in Analytical …, 2023 - Elsevier | Cited by 62 |
| 766 | IoT driven by machine learning (MLIoT) for the retail apparel sector | KSL Kazi - Driving Green Marketing in Fashion and Retail, 2024 - igi-global.com | Cited by 44 |
| 767 | Statistical, machine learning and deep learning forecasting methods: Comparisons and ways forward | S Makridakis, E Spiliotis… - Journal of the …, 2023 - Taylor & Francis | Cited by 137 |
| 768 | Enhancing cloud-based machine learning models with federated learning techniques | R Shamim, Y Farhaoui - … Conference on Artificial Intelligence and Smart …, 2023 - Springer | Cited by 50 |
| 769 | Machine learning for fault analysis in rotating machinery: A comprehensive review | O Das, DB Das, D Birant - Heliyon, 2023 - cell.com | Cited by 75 |
| 770 | Transparency of artificial intelligence/machine learning-enabled medical devices | AA Shick, CM Webber, N Kiarashi, JP Weinberg… - NPJ Digital …, 2024 - nature.com | Cited by 39 |
| 771 | [BOOK][B] Computational formalism: Art history and machine learning | A Wasielewski - 2023 - books.google.com | Cited by 52 |
| 772 | A general framework of high-performance machine learning algorithms: application in structural mechanics | G Markou, NP Bakas, SA Chatzichristofis… - Computational …, 2024 - Springer | Cited by 34 |
| 773 | [HTML][HTML] A comprehensive review of machine learning for water quality prediction over the past five years | X Yan, T Zhang, W Du, Q Meng, X Xu… - Journal of Marine Science …, 2024 - mdpi.com | Cited by 54 |
| 774 | [HTML][HTML] Modeling the mechanical properties of recycled aggregate concrete using hybrid machine learning algorithms | Y Peng, C Unluer - Resources, Conservation and Recycling, 2023 - Elsevier | Cited by 119 |
| 775 | Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic … | HM Rai, J Yoo, A Razaque - Expert Systems with Applications, 2024 - Elsevier | Cited by 33 |
| 776 | [HTML][HTML] A review of embedded machine learning based on hardware, application, and sensing scheme | A Biglari, W Tang - Sensors, 2023 - mdpi.com | Cited by 68 |
| 777 | [HTML][HTML] Ransomware detection using machine learning: A survey | A Alraizza, A Algarni - Big Data and Cognitive Computing, 2023 - mdpi.com | Cited by 100 |
| 778 | Sentiment analysis using Twitter data: a comparative application of lexicon-and machine-learning-based approach | Y Qi, Z Shabrina - Social network analysis and mining, 2023 - Springer | Cited by 200 |
| 779 | Testing the predictive power of reverse screening to infer drug targets, with the help of machine learning | A Daina, V Zoete - Communications chemistry, 2024 - nature.com | Cited by 37 |
| 780 | Advancements in machine learning and AI for intelligent systems in drone applications for smart city developments | S Boopathi - Futuristic e-Governance Security With Deep Learning …, 2024 - igi-global.com | Cited by 44 |
| 781 | Smarter Systems: Applying Machine Learning to Complex, Real-Time Problem Solving | AS Shethiya - Integrated Journal of Science and Technology, 2024 - ijstpublication.com | Cited by 29 |
| 782 | Exploiting symmetry in variational quantum machine learning | JJ Meyer, M Mularski, E Gil-Fuster, AA Mele, F Arzani… - PRX quantum, 2023 - APS | Cited by 220 |
| 783 | A comprehensive survey for IoT security datasets taxonomy, classification and machine learning mechanisms | C Alex, G Creado, W Almobaideen, OA Alghanam… - Computers & …, 2023 - Elsevier | Cited by 62 |
| 784 | Sentiment analysis in multilingual context: Comparative analysis of machine learning and hybrid deep learning models | RK Das, M Islam, MM Hasan, S Razia, M Hassan… - Heliyon, 2023 - cell.com | Cited by 61 |
| 785 | Machine learning-assisted source tracing in domestic-industrial wastewater: A fluorescence information-based approach | Y Shu, F Kong, Y He, L Chen, H Liu, F Zan, X Lu, T Wu… - Water Research, 2025 - Elsevier | Cited by 24 |
| 786 | Towards quantum enhanced adversarial robustness in machine learning | MT West, SL Tsang, JS Low, CD Hill, C Leckie… - Nature Machine …, 2023 - nature.com | Cited by 73 |
| 787 | Machine learning approach using artificial neural networks to detect malicious nodes in IoT networks | KKS Liyakat - International Conference on Machine Learning, IoT …, 2023 - Springer | Cited by 88 |
| 788 | Performance and early drop prediction for higher education students using machine learning | V Christou, I Tsoulos, V Loupas, AT Tzallas… - Expert Systems with …, 2023 - Elsevier | Cited by 37 |
| 789 | Medical informed machine learning: A scoping review and future research directions | F Leiser, S Rank, M Schmidt-Kraepelin… - Artificial Intelligence in …, 2023 - Elsevier | Cited by 23 |
| 790 | [PDF][PDF] Enhancing cyber security through artificial intelligence and machine learning: a literature review | C Merlano - Journal of Cybersecurity, 2024 - researchgate.net | Cited by 27 |
| 791 | Machine learning techniques for emotion detection and sentiment analysis: current state, challenges, and future directions | A Alslaity, R Orji - Behaviour & Information Technology, 2024 - Taylor & Francis | Cited by 143 |
| 792 | [BOOK][B] Advanced machine learning algorithms for complex financial applications | M Irfan, M Elhoseny, S Kassim, N Metawa - 2023 - books.google.com | Cited by 65 |
| 793 | Prediction and diagnosis of depression using machine learning with electronic health records data: a systematic review | D Nickson, C Meyer, L Walasek, C Toro - BMC medical informatics and …, 2023 - Springer | Cited by 54 |
| 794 | AI-Powered Diagnosis: A Machine Learning Approach to Early Detection of Breast Cancer | H Tanveer, M Faheem, AH Khan… - INTERNATIONAL …, 2025 - rjwave.org | Cited by 50 |
| 795 | [HTML][HTML] Reducing literature screening workload with machine learning | T Burgard, A Bittermann - Zeitschrift für Psychologie, 2023 - econtent.hogrefe.com | Cited by 46 |
| 796 | An adversarial training framework for mitigating algorithmic biases in clinical machine learning | J Yang, AAS Soltan, DW Eyre, Y Yang… - NPJ digital medicine, 2023 - nature.com | Cited by 123 |
| 797 | TRIPOD+ AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods | GS Collins, KGM Moons, P Dhiman, RD Riley… - bmj, 2024 - bmj.com | Cited by 1061 |
| 798 | [HTML][HTML] The innovation effect of administrative hierarchy on intercity connection: The machine learning of twin cities | J Luo, Y Wang, G Li - Journal of Innovation & Knowledge, 2023 - Elsevier | Cited by 106 |
| 799 | Using machine learning techniques to forecast Mehram company's sales: A case study | M Soltaninejad, R Aghazadeh… - Journal of Business …, 2024 - search.proquest.com | Cited by 21 |
| 800 | Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry | AS Anker, KT Butler, R Selvan, KMØ Jensen - Chemical Science, 2023 - pubs.rsc.org | Cited by 37 |
| 801 | Online bearing fault diagnosis using numerical simulation models and machine learning classifications | H Wang, J Zheng, J Xiang - Reliability Engineering & System Safety, 2023 - Elsevier | Cited by 111 |
| 802 | [HTML][HTML] Application of machine learning initiatives and intelligent perspectives for CO2 emissions reduction in construction | L Farahzadi, M Kioumarsi - Journal of Cleaner Production, 2023 - Elsevier | Cited by 98 |
| 803 | [HTML][HTML] Towards a machine learning-based framework for DDOS attack detection in software-defined IoT (SD-IoT) networks | J Bhayo, SA Shah, S Hameed, A Ahmed, J Nasir… - … Applications of Artificial …, 2023 - Elsevier | Cited by 196 |
| 804 | [HTML][HTML] Utilizing machine learning on freight transportation and logistics applications: A review | K Tsolaki, T Vafeiadis, A Nizamis, D Ioannidis… - ICT Express, 2023 - Elsevier | Cited by 139 |
| 805 | [HTML][HTML] Machine learning approaches for predictions of CO2 emissions in the building sector | S Giannelos, F Bellizio, G Strbac, T Zhang - Electric Power Systems …, 2024 - Elsevier | Cited by 60 |
| 806 | Fuzzy machine learning logic utilization on hormonal imbalance dataset | R Khushal, U Fatima - Computers in Biology and Medicine, 2024 - Elsevier | Cited by 22 |
| 807 | Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review | O Higgins, BL Short, SK Chalup… - International Journal of …, 2023 - Wiley Online Library | Cited by 147 |
| 808 | A benchmark dataset for machine learning in ecotoxicology | C Schür, L Gasser, F Perez-Cruz, K Schirmer… - Scientific Data, 2023 - nature.com | Cited by 38 |
| 809 | Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review | S Cheng, C Quilodrán-Casas, S Ouala… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org | Cited by 242 |
| 810 | A Novel Approach to Human Iris Recognition And Verification Framework Using Machine Learning Algorithm | S Davuluri, S Kilaru, V Boppana… - … and Informatics (IC3I …, 2023 - ieeexplore.ieee.org | Cited by 56 |
| 811 | Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis | M Ayitey Junior, P Appiahene, O Appiah, CN Bombie - Journal of Big Data, 2023 - Springer | Cited by 95 |
| 812 | Clinical trials are becoming more complex: a machine learning analysis of data from over 16,000 trials | N Markey, B Howitt, I El-Mansouri… - Scientific Reports, 2024 - nature.com | Cited by 38 |
| 813 | Faults detection and diagnosis of PV systems based on machine learning approach using random forest classifier | AF Amiri, H Oudira, A Chouder, S Kichou - Energy Conversion and …, 2024 - Elsevier | Cited by 139 |
| 814 | Interpretable and explainable machine learning: A methods‐centric overview with concrete examples | R Marcinkevičs, JE Vogt - Wiley Interdisciplinary Reviews: Data …, 2023 - Wiley Online Library | Cited by 145 |
| 815 | [HTML][HTML] Application of machine learning modeling in prediction of solar still performance: a comprehensive survey | AS Abdullah, A Joseph, AW Kandeal, WH Alawee… - Results in …, 2024 - Elsevier | Cited by 60 |
| 816 | [HTML][HTML] Enhancing supply chain agility and sustainability through machine learning: Optimization techniques for logistics and inventory management | V Pasupuleti, B Thuraka, CS Kodete, S Malisetty - Logistics, 2024 - mdpi.com | Cited by 210 |
| 817 | [BOOK][B] Applications of machine learning and deep learning on biological data | F Masoodi, M Quasim, S Bukhari, S Dixit, S Alam - 2023 - books.google.com | Cited by 39 |
| 818 | Prognosis of cervical cancer disease by applying machine learning techniques | G Kumawat, SK Vishwakarma… - Journal of circuits …, 2023 - World Scientific | Cited by 79 |
| 819 | [PDF][PDF] Adaptive machine learning models: Concepts for real-time financial fraud prevention in dynamic environments | HO Bello, AB Ige, MN Ameyaw - World Journal of Advanced …, 2024 - researchgate.net | Cited by 141 |
| 820 | Classification and diagnostic prediction of breast cancer metastasis on clinical data using machine learning algorithms | M Botlagunta, MD Botlagunta, MB Myneni… - Scientific Reports, 2023 - nature.com | Cited by 181 |
| 821 | [HTML][HTML] Developing a novel tool for assessing the groundwater incorporating water quality index and machine learning approach | AM Sajib, MTM Diganta, A Rahman… - Groundwater for …, 2023 - Elsevier | Cited by 88 |
| 822 | Exploring new depths: Applying machine learning for the analysis of student argumentation in chemistry | PP Martin, D Kranz, P Wulff… - Journal of Research in …, 2024 - Wiley Online Library | Cited by 38 |
| 823 | A bibliographic analysis of optimization of hydrogen production via electrochemical method using machine learning | S Iqbal, K Aftab, F tul Jannat, MA Baig, U Kalsoom - Fuel, 2024 - Elsevier | Cited by 19 |
| 824 | State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting | J Zhou, Y Zhang, Y Qiu - Artificial Intelligence Review, 2024 - Springer | Cited by 39 |
| 825 | Machine learning for service migration: A survey | N Toumi, M Bagaa, A Ksentini - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org | Cited by 26 |
| 826 | [HTML][HTML] Recent advances in machine-learning-based chemoinformatics: a comprehensive review | SK Niazi, Z Mariam - International Journal of Molecular Sciences, 2023 - mdpi.com | Cited by 90 |
| 827 | Machine learning applied to electronic health record data in home healthcare: a scoping review | M Hobensack, J Song, D Scharp, KH Bowles… - International Journal of …, 2023 - Elsevier | Cited by 52 |
| 828 | A practical guide to machine-learning scoring for structure-based virtual screening | VK Tran-Nguyen, M Junaid, S Simeon, PJ Ballester - Nature Protocols, 2023 - nature.com | Cited by 63 |
| 829 | A novel machine learning approach for solar radiation estimation | H Hissou, S Benkirane, A Guezzaz, M Azrour… - Sustainability, 2023 - mdpi.com | Cited by 61 |
| 830 | Comprehensive evaluation and performance analysis of machine learning in heart disease prediction | HA Al-Alshaikh, PP, RC Poonia, AKJ Saudagar… - Scientific Reports, 2024 - nature.com | Cited by 49 |
| 831 | Machine learning in tissue engineering | JL Guo, M Januszyk, MT Longaker - Tissue Engineering Part A, 2023 - liebertpub.com | Cited by 44 |
| 832 | Multi-dimensional discrimination in law and machine learning-A comparative overview | A Roy, J Horstmann, E Ntoutsi - … of the 2023 ACM Conference on …, 2023 - dl.acm.org | Cited by 27 |
| 833 | Analyzing breast cancer detection using machine learning & deep learning techniques | A Fatima, A Shabbir, JI Janjua, SA Ramay… - Journal of Computing & …, 2024 - jcbi.org | Cited by 22 |
| 834 | Roadmap for the use of machine learning and artificial intelligence in sensing | JF Masson - ACS sensors, 2024 - ACS Publications | Cited by 16 |
| 835 | Explanatory predictive model for COVID-19 severity risk employing machine learning, shapley addition, and LIME | M Laatifi, S Douzi, H Ezzine, CE Asry, A Naya… - Scientific Reports, 2023 - nature.com | Cited by 43 |
| 836 | [HTML][HTML] Modeling and optimization of renewable hydrogen systems: A systematic methodological review and machine learning integration | MD Mukelabai, ER Barbour, RE Blanchard - Energy and AI, 2024 - Elsevier | Cited by 31 |
| 837 | Applying machine learning to develop energy benchmarking for university buildings in Brazil | TC Quevedo, MS Geraldi, AP Melo - Journal of building engineering, 2023 - Elsevier | Cited by 49 |
| 838 | Machine learning for predicting survival of colorectal cancer patients | L Buk Cardoso, V Cunha Parro, S Verzinhasse Peres… - Scientific reports, 2023 - nature.com | Cited by 45 |
| 839 | [HTML][HTML] A decision support system for crop recommendation using machine learning classification algorithms | MK Senapaty, A Ray, N Padhy - Agriculture, 2024 - mdpi.com | Cited by 48 |
| 840 | [HTML][HTML] Do all roads lead to Rome? Studying distance measures in the context of machine learning | E Blanco-Mallo, L Morán-Fernández, B Remeseiro… - Pattern Recognition, 2023 - Elsevier | Cited by 27 |
| 841 | [HTML][HTML] Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches | LS Khoo, MK Lim, CY Chong, R McNaney - Sensors, 2024 - mdpi.com | Cited by 75 |
| 842 | Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning | B Abdollahzadeh, N Khodadadi, S Barshandeh… - Cluster …, 2024 - Springer | Cited by 634 |
| 843 | Accurate global machine learning force fields for molecules with hundreds of atoms | S Chmiela, V Vassilev-Galindo, OT Unke… - Science …, 2023 - science.org | Cited by 206 |
| 844 | Intrusion detection system based on machine learning algorithms:(SVM and genetic algorithm) | A Alsajri, A Steiti - Babylonian Journal of Machine Learning, 2024 - mesopotamian.press | Cited by 39 |
| 845 | E-commerce fraud detection based on machine learning techniques: Systematic literature review | A Mutemi, F Bacao - Big Data Mining and Analytics, 2024 - ieeexplore.ieee.org | Cited by 74 |
| 846 | Crop mapping through a hybrid machine learning and deep learning method | B Asadi, A Shamsoddini - Remote Sensing Applications: Society and …, 2024 - Elsevier | Cited by 25 |
| 847 | Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision … | W DeGroat, H Abdelhalim, K Patel, D Mendhe… - Scientific reports, 2024 - nature.com | Cited by 237 |
| 848 | Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research | S Kumar, D Sharma, S Rao, WM Lim… - Annals of Operations …, 2025 - Springer | Cited by 521 |
| 849 | Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning | J Li, MS Othman, H Chen, LM Yusuf - Journal of Big Data, 2024 - Springer | Cited by 98 |
| 850 | [HTML][HTML] Estimation and prediction of the polymers' physical characteristics using the machine learning models | IP Malashin, VS Tynchenko, VA Nelyub, AS Borodulin… - Polymers, 2023 - mdpi.com | Cited by 46 |
| 851 | Machine learning-based intrusion detection system: an experimental comparison | I Hidayat, MZ Ali, A Arshad - Journal of Computational and …, 2023 - ojs.bonviewpress.com | Cited by 92 |
| 852 | Machine Learning: The Driving Force Behind Intelligent Systems and Predictive Analytics | D Virmani, MAS Ghori, N Tyagi… - … on Trends in …, 2024 - ieeexplore.ieee.org | Cited by 38 |
| 853 | [PDF][PDF] Predictive Analytics and Machine Learning in Direct Marketing for Anticipating Bank Term Deposit Subscriptions. | AM Zaki, N Khodadadi, W Hong Lim… - American Journal of …, 2024 - researchgate.net | Cited by 99 |
| 854 | [HTML][HTML] AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods | H Li, H Jiao, Z Yang - Transportation Research Part E: Logistics and …, 2023 - Elsevier | Cited by 153 |
| 855 | Machine learning for sustainable organic waste treatment: a critical review | R Gupta, ZH Ouderji, Uzma, Z Yu, WT Sloan… - NPJ Materials …, 2024 - nature.com | Cited by 29 |
| 856 | Analysing the drivers of ecological footprint in Africa with machine learning algorithm | DK Espoir, R Sunge, T Nchofoung, AA Alola - … Impact Assessment Review, 2024 - Elsevier | Cited by 31 |
| 857 | Towards detection of network anomalies using machine learning algorithms on the NSL-KDD benchmark datasets | AD Vibhute, CH Patil, AV Mane, KV Kale - Procedia Computer Science, 2024 - Elsevier | Cited by 40 |
| 858 | A machine learning tutorial for operational meteorology. Part II: Neural networks and deep learning | RJ Chase, DR Harrison, GM Lackmann… - Weather and …, 2023 - journals.ametsoc.org | Cited by 42 |
| 859 | Challenges and limitations of synthetic minority oversampling techniques in machine learning | IM Alkhawaldeh, I Albalkhi… - World journal of …, 2023 - pmc.ncbi.nlm.nih.gov | Cited by 77 |
| 860 | Machine learning approaches to predict drug efficacy and toxicity in oncology | BA Badwan, G Liaropoulos, E Kyrodimos… - Cell Reports …, 2023 - cell.com | Cited by 72 |
| 861 | Machine learning WTI crude oil price predictions | B Jin, X Xu - Journal of International Commerce, Economics and …, 2025 - World Scientific | Cited by 29 |
| 862 | [HTML][HTML] Recent advances in data mining and machine learning for enhanced building energy management | X Zhou, H Du, S Xue, Z Ma - Energy, 2024 - Elsevier | Cited by 29 |
| 863 | Machine learning classifier algorithms for ransomware lockbit prediction | IMM El Emary, KA Yaghi - Journal of Applied Data Sciences, 2024 - bright-journal.org | Cited by 91 |
| 864 | Machine Learning Classification Algorithms for Accurate Breast Cancer Diagnosis | MS Alzboon, S Qawasmeh, M Alqaraleh… - … on Emerging Smart …, 2023 - ieeexplore.ieee.org | Cited by 32 |
| 865 | Temporal graph benchmark for machine learning on temporal graphs | S Huang, F Poursafaei, J Danovitch… - Advances in …, 2023 - proceedings.neurips.cc | Cited by 172 |
| 866 | A comparative study on the most effective machine learning model for blast loading prediction: From GBDT to Transformer | Q Li, Y Wang, Y Shao, L Li, H Hao - Engineering Structures, 2023 - Elsevier | Cited by 66 |
| 867 | Phishing detection system through hybrid machine learning based on URL | A Karim, M Shahroz, K Mustofa, SB Belhaouari… - IEEE …, 2023 - ieeexplore.ieee.org | Cited by 196 |
| 868 | [HTML][HTML] Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques | E Champa-Bujaico, AM Díez-Pascual… - Composites Part B …, 2024 - Elsevier | Cited by 77 |
| 869 | Machine learning system for indolence perception | SMU Sankar, NJ Kumar… - … on Innovative Data …, 2023 - ieeexplore.ieee.org | Cited by 32 |
| 870 | [HTML][HTML] Enhanced preprocessing approach using ensemble machine learning algorithms for detecting liver disease | AQ Md, S Kulkarni, CJ Joshua, T Vaichole, S Mohan… - Biomedicines, 2023 - mdpi.com | Cited by 108 |
| 871 | Interpretable machine learning assessment | H Han, Y Wu, J Wang, A Han - Neurocomputing, 2023 - Elsevier | Cited by 25 |
| 872 | Comparison of machine learning algorithms for slope stability prediction using an automated machine learning approach | TF Kurnaz, C Erden, U Dağdeviren, AS Demir… - Natural Hazards, 2024 - Springer | Cited by 34 |
| 873 | Applications of machine learning in thermochemical conversion of biomass-A review | SR Naqvi, Z Ullah, SAA Taqvi, MNA Khan, W Farooq… - Fuel, 2023 - Elsevier | Cited by 170 |
| 874 | [HTML][HTML] Exploring evaluation methods for interpretable machine learning: A survey | N Alangari, M El Bachir Menai, H Mathkour… - Information, 2023 - mdpi.com | Cited by 38 |
| 875 | [HTML][HTML] Creating rutting prediction models through machine learning techniques utilizing the long-term pavement performance database | AJ Alnaqbi, W Zeiada, GG Al-Khateeb, K Hamad… - Sustainability, 2023 - mdpi.com | Cited by 50 |
| 876 | [HTML][HTML] Software defect prediction analysis using machine learning techniques | A Khalid, G Badshah, N Ayub, M Shiraz, M Ghouse - Sustainability, 2023 - mdpi.com | Cited by 91 |
| 877 | A review of recent advances, challenges, and opportunities in malicious insider threat detection using machine learning methods | FR Alzaabi, A Mehmood - IEEE Access, 2024 - ieeexplore.ieee.org | Cited by 132 |
| 878 | Divination of air quality assessment using ensembling machine learning approach | P William, DN Paithankar, PM Yawalkar… - 2023 International …, 2023 - ieeexplore.ieee.org | Cited by 53 |
| 879 | [HTML][HTML] Application of artificial intelligence and machine learning for BIM | D Bassir, H Lodge, H Chang, J Majak… - International Journal for …, 2023 - ijsmdo.org | Cited by 50 |
| 880 | Quantum machine learning for computational methods in engineering: a systematic review | SK Sood, M Agrewal - Archives of Computational Methods in Engineering, 2024 - Springer | Cited by 23 |
| 881 | Machine learning and power relations | J Maas - AI & SOCIETY, 2023 - Springer | Cited by 39 |
| 882 | Intrusion Detection System with Customized Machine Learning Techniques for NSL-KDD Dataset. | M Zakariah, SA AlQahtani… - Computers …, 2023 - search.ebscohost.com | Cited by 47 |
| 883 | [HTML][HTML] Adversarial machine learning attacks against intrusion detection systems: A survey on strategies and defense | A Alotaibi, MA Rassam - Future Internet, 2023 - mdpi.com | Cited by 141 |
| 884 | Cloud-based in-situ battery life prediction and classification using machine learning | Y Zhang, M Zhao - Energy Storage Materials, 2023 - Elsevier | Cited by 104 |
| 885 | Identification of 71 factors influencing urban vitality and examination of their spatial dependence: A comprehensive validation applying multiple machine-learning … | Z Wang, X Wang, Y Liu, L Zhu - Sustainable Cities and Society, 2024 - Elsevier | Cited by 35 |
| 886 | Practical machine learning: Forecasting daily financial markets directions | BM Henrique, VA Sobreiro, H Kimura - Expert Systems with Applications, 2023 - Elsevier | Cited by 26 |
| 887 | Rigor with machine learning from field theory to the Poincaré conjecture | S Gukov, J Halverson, F Ruehle - Nature Reviews Physics, 2024 - nature.com | Cited by 25 |
| 888 | Power system monitoring for electrical disturbances in wide network using machine learning | J Wei, A Chammam, J Feng, A Alshammari… - … Informatics and Systems, 2024 - Elsevier | Cited by 24 |
| 889 | A machine learning-based comparative approach to predict the crop yield using supervised learning with regression models | B Panigrahi, KCR Kathala, M Sujatha - Procedia Computer Science, 2023 - Elsevier | Cited by 107 |
| 890 | Direct generation of protein conformational ensembles via machine learning | G Janson, G Valdes-Garcia, L Heo, M Feig - Nature Communications, 2023 - nature.com | Cited by 148 |
| 891 | Introduction of machine learning and artificial intelligence in biofuel technology | JA Okolie - Current Opinion in Green and Sustainable Chemistry, 2024 - Elsevier | Cited by 37 |
| 892 | Machine learning investigation of tuberculosis with medicine immunity impact | H Qureshi, Z Shah, MAZ Raja, MY Alshahrani… - … and Infectious Disease, 2024 - Elsevier | Cited by 26 |
| 893 | [HTML][HTML] Fuzzy machine learning applications in environmental engineering: Does the ability to deal with uncertainty really matter? | A Bressane, AJS Garcia, MV Castro, SD Xerfan… - Sustainability, 2024 - mdpi.com | Cited by 34 |
| 894 | [HTML][HTML] Advancing healthcare: synergizing biosensors and machine learning for early cancer diagnosis | M Kokabi, MN Tahir, D Singh, M Javanmard - Biosensors, 2023 - mdpi.com | Cited by 48 |
| 895 | Machine learning sensors | P Warden, M Stewart, B Plancher, S Katti… - Communications of the …, 2023 - dl.acm.org | Cited by 35 |
| 896 | [HTML][HTML] A comprehensive survey of unmanned aerial vehicles detection and classification using machine learning approach: Challenges, solutions, and future … | MH Rahman, MAS Sejan, MA Aziz, R Tabassum… - Remote Sensing, 2024 - mdpi.com | Cited by 64 |
| 897 | Machine learning and bias in medical imaging: opportunities and challenges | A Vrudhula, AC Kwan, D Ouyang… - Circulation …, 2024 - ahajournals.org | Cited by 32 |
| 898 | Applications of artificial intelligence, machine learning, and deep learning on facial plastic surgeries | E Tokgöz, MA Carro - Cosmetic and reconstructive facial plastic surgery: A …, 2023 - Springer | Cited by 49 |
| 899 | Machine Learning Based Cardiovascular Detection Approach | RK Kanna, A Ambikapathy, M Brayyich… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org | Cited by 27 |
| 900 | [BOOK][B] AI and machine learning impacts in intelligent supply chain | BK Pandey, UK Kanike, AS George, D Pandey - 2024 - books.google.com | Cited by 32 |
| 901 | [HTML][HTML] Optimisation of knowledge management (KM) with machine learning (ML) enabled | M Anshari, M Syafrudin, A Tan, NL Fitriyani, Y Alas - Information, 2023 - mdpi.com | Cited by 51 |
| 902 | Regional steel price index predictions for the southwest Chinese market through machine learning | B Jin, X Xu - Ironmaking & Steelmaking, 2024 - journals.sagepub.com | Cited by 22 |
| 903 | Towards data-centric graph machine learning: Review and outlook | X Zheng, Y Liu, Z Bao, M Fang, X Hu, AWC Liew… - arXiv preprint arXiv …, 2023 - arxiv.org | Cited by 39 |
| 904 | Using supervised machine learning for large‐scale classification in management research: The case for identifying artificial intelligence patents | M Miric, N Jia, KG Huang - Strategic Management Journal, 2023 - Wiley Online Library | Cited by 164 |
| 905 | Prediction of Alzheimer's disease using hybrid machine learning technique | MS Kumar, H Azath, AK Velmurugan… - AIP Conference …, 2023 - pubs.aip.org | Cited by 67 |
| 906 | A review of axial and radial ejectors: Geometric design, computational analysis, performance, and machine learning approaches | G Al-Doori, K Saleh, A Al-Manea, R Al-Rbaihat… - Applied Thermal …, 2025 - Elsevier | Cited by 10 |
| 907 | [HTML][HTML] The personal health applications of machine learning techniques in the internet of behaviors | Z Amiri, A Heidari, M Darbandi, Y Yazdani… - Sustainability, 2023 - mdpi.com | Cited by 91 |
| 908 | A comprehensive survey on machine learning approaches for fake news detection | J Alghamdi, S Luo, Y Lin - Multimedia Tools and Applications, 2024 - Springer | Cited by 85 |
| 909 | Machine learning in toxicological sciences: opportunities for assessing drug toxicity | L Tonoyan, AG Siraki - Frontiers in Drug Discovery, 2024 - frontiersin.org | Cited by 23 |
| 910 | Accelerating ionizable lipid discovery for mRNA delivery using machine learning and combinatorial chemistry | B Li, IO Raji, AGR Gordon, L Sun, TM Raimondo… - Nature Materials, 2024 - nature.com | Cited by 103 |
| 911 | Application of machine learning in carbon capture and storage: An in-depth insight from the perspective of geoscience | P Yao, Z Yu, Y Zhang, T Xu - Fuel, 2023 - Elsevier | Cited by 117 |
| 912 | Coronary heart disease prediction and classification using hybrid machine learning algorithms | KB Sk, D Roja, SS Priya, L Dalavi… - … on Innovative Data …, 2023 - ieeexplore.ieee.org | Cited by 102 |
| 913 | [HTML][HTML] Pipeline leakage detection using acoustic emission and machine learning algorithms | N Ullah, Z Ahmed, JM Kim - Sensors, 2023 - mdpi.com | Cited by 98 |
| 914 | Identification of heart diseases using novel machine learning method | R Veeranjaneyulu, S Boopathi… - … on Advances in …, 2023 - ieeexplore.ieee.org | Cited by 46 |
| 915 | Addressing uncertainty in the safety assurance of machine-learning | S Burton, B Herd - Frontiers in Computer Science, 2023 - frontiersin.org | Cited by 43 |
| 916 | [HTML][HTML] Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis | M Hasan, MS Rahman, H Janicke, IH Sarker - Blockchain: Research and …, 2024 - Elsevier | Cited by 44 |
| 917 | [HTML][HTML] Analysis of bitcoin price prediction using machine learning | J Chen - Journal of risk and financial management, 2023 - mdpi.com | Cited by 156 |
| 918 | Breast cancer prediction based on multiple machine learning algorithms | S Zhou, C Hu, S Wei, X Yan - Technology in cancer research …, 2024 - journals.sagepub.com | Cited by 24 |
| 919 | [HTML][HTML] Machine learning models for the identification of prognostic and predictive cancer biomarkers: a systematic review | Q Al-Tashi, MB Saad, A Muneer, R Qureshi… - International journal of …, 2023 - mdpi.com | Cited by 117 |
| 920 | Application of machine learning in measurement of ageing and geriatric diseases: a systematic review | A Das, P Dhillon - BMC geriatrics, 2023 - Springer | Cited by 26 |
| 921 | Credit risk prediction using ensemble machine learning algorithms | V Kanaparthi - 2023 International Conference on Inventive …, 2023 - ieeexplore.ieee.org | Cited by 42 |
| 922 | A comparative study of statistical and machine learning models on carbon dioxide emissions prediction of China | X Li, X Zhang - Environmental Science and Pollution Research, 2023 - Springer | Cited by 62 |
| 923 | Enhancing collaborative machine learning for security and privacy in federated learning | M Zhu, J Yuan, G Wang, Z Xu… - Journal of Theory and …, 2024 - centuryscipub.com | Cited by 23 |
| 924 | Industrial carbon emission forecasting considering external factors based on linear and machine learning models | L Ye, P Du, S Wang - Journal of Cleaner Production, 2024 - Elsevier | Cited by 46 |
| 925 | Smart food monitoring system based on iot and machine learning | MJI Tutul, M Alam, MAH Wadud - … , IoT and Machine Learning …, 2023 - ieeexplore.ieee.org | Cited by 31 |
| 926 | Calibrating machine learning approaches for probability estimation: A comprehensive comparison | FM Ojeda, ML Jansen, A Thiéry… - Statistics in …, 2023 - Wiley Online Library | Cited by 35 |
| 927 | Towards understanding fairness and its composition in ensemble machine learning | U Gohar, S Biswas, H Rajan - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org | Cited by 49 |
| 928 | Machine learning for administrative health records: A systematic review of techniques and applications | A Caruana, M Bandara, K Musial, D Catchpoole… - Artificial intelligence in …, 2023 - Elsevier | Cited by 23 |
| 929 | Machine learning-based optimal crop selection system in smart agriculture | S Rani, AK Mishra, A Kataria, S Mallik, H Qin - Scientific Reports, 2023 - nature.com | Cited by 126 |
| 930 | Forecasting realized volatility with machine learning: Panel data perspective | H Zhu, L Bai, L He, Z Liu - Journal of Empirical Finance, 2023 - Elsevier | Cited by 31 |
| 931 | [HTML][HTML] An inception V3 approach for malware classification using machine learning and transfer learning | M Ahmed, N Afreen, M Ahmed, M Sameer… - International Journal of …, 2023 - Elsevier | Cited by 105 |
| 932 | [HTML][HTML] … -efficient routing protocols for UWSNs: A comprehensive review of taxonomy, challenges, opportunities, future research directions, and machine learning … | SU Khan, ZU Khan, M Alkhowaiter, J Khan… - Journal of King Saud …, 2024 - Elsevier | Cited by 35 |
| 933 | Recent and upcoming developments in randomized numerical linear algebra for machine learning | M Dereziński, MW Mahoney - Proceedings of the 30th ACM SIGKDD …, 2024 - dl.acm.org | Cited by 18 |
| 934 | [BOOK][B] Fundamentals of supervised machine learning | G Cerulli - 2023 - Springer | Cited by 28 |
| 935 | Machine learning in embedded systems: Limitations, solutions and future challenges | E Batzolis, E Vrochidou… - 2023 IEEE 13th annual …, 2023 - ieeexplore.ieee.org | Cited by 23 |
| 936 | Data-driven predictions of shield attitudes using Bayesian machine learning | L Wang, Q Pan, S Wang - Computers and Geotechnics, 2024 - Elsevier | Cited by 26 |
| 937 | [HTML][HTML] Slope stability prediction method based on intelligent optimization and machine learning algorithms | Y Yang, W Zhou, IM Jiskani, X Lu, Z Wang, B Luan - Sustainability, 2023 - mdpi.com | Cited by 45 |
| 938 | [HTML][HTML] A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches | MG Uddin, S Nash, A Rahman, AI Olbert - Water Research, 2023 - Elsevier | Cited by 183 |
| 939 | Machine learning and IoT-based approach for tool condition monitoring: A review and future prospects | MQ Tran, HP Doan, VQ Vu, LT Vu - Measurement, 2023 - Elsevier | Cited by 124 |
| 940 | Efficient machine learning method for evaluating compressive strength of cement stabilized soft soil | C Zhang, Z Zhu, F Liu, Y Yang, Y Wan, W Huo… - … and Building Materials, 2023 - Elsevier | Cited by 59 |
| 941 | Machine learning reveals diverse cell death patterns in lung adenocarcinoma prognosis and therapy | S Wang, R Wang, D Hu, C Zhang, P Cao… - NPJ Precision …, 2024 - nature.com | Cited by 54 |
| 942 | Machine learning for membrane design in energy production, gas separation, and water treatment: a review | AI Osman, M Nasr, M Farghali, SS Bakr… - Environmental …, 2024 - Springer | Cited by 58 |
| 943 | [HTML][HTML] The application of machine learning to air pollution research: A bibliometric analysis | Y Li, Z Sha, A Tang, K Goulding, X Liu - Ecotoxicology and Environmental …, 2023 - Elsevier | Cited by 50 |
| 944 | Spice, a dataset of drug-like molecules and peptides for training machine learning potentials | P Eastman, PK Behara, DL Dotson, R Galvelis, JE Herr… - Scientific Data, 2023 - nature.com | Cited by 195 |
| 945 | Weisfeiler and leman go machine learning: The story so far | C Morris, Y Lipman, H Maron, B Rieck… - … of Machine Learning …, 2023 - jmlr.org | Cited by 169 |
| 946 | SNIB: improving spike-based machine learning using nonlinear information bottleneck | S Yang, B Chen - IEEE transactions on systems, man, and …, 2023 - ieeexplore.ieee.org | Cited by 89 |
| 947 | Data-driven sustainability: leveraging big data and machine learning to build a greener future | MA Mohammed, MA Ahmed… - Babylonian Journal of …, 2023 - mesopotamian.press | Cited by 52 |
| 948 | Machine learning strategies for reaction development: toward the low-data limit | E Shim, A Tewari, T Cernak… - Journal of chemical …, 2023 - ACS Publications | Cited by 28 |
| 949 | Machine learning for large-scale optimization in 6G wireless networks | Y Shi, L Lian, Y Shi, Z Wang, Y Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org | Cited by 170 |
| 950 | The new era of computer network by using machine learning | S Namasudra, P Lorenz, U Ghosh - Mobile Networks and Applications, 2023 - Springer | Cited by 20 |
| 951 | [HTML][HTML] Application of machine learning for insect monitoring in grain facilities | QA Mendoza, L Pordesimo, M Neilsen, P Armstrong… - AI, 2023 - mdpi.com | Cited by 36 |
| 952 | Machine learning algorithms reveal potential miRNAs biomarkers in gastric cancer | H Azari, E Nazari, R Mohit, A Asadnia, M Maftooh… - Scientific reports, 2023 - nature.com | Cited by 44 |
| 953 | Pima Indians diabetes mellitus classification based on machine learning (ML) algorithms | V Chang, J Bailey, QA Xu, Z Sun - Neural Computing and Applications, 2023 - Springer | Cited by 350 |
| 954 | A systematic review of recent machine learning techniques for plant disease identification and classification | L Goel, J Nagpal - IETE Technical Review, 2023 - Taylor & Francis | Cited by 66 |
| 955 | Enhanced SOC estimation of lithium ion batteries with RealTime data using machine learning algorithms | PS Babu, IV, AB, VS, KC - Scientific Reports, 2024 - nature.com | Cited by 44 |
| 956 | A comparative analysis of machine learning algorithms for the purpose of predicting Norwegian air passenger traffic | A Stanulov, S Yassine - … Journal of Mathematics, Statistics, and Computer …, 2024 - ijmscs.org | Cited by 58 |
| 957 | Identifying top ten predictors of type 2 diabetes through machine learning analysis of UK Biobank data | M Lugner, A Rawshani, E Helleryd, B Eliasson - Scientific reports, 2024 - nature.com | Cited by 46 |
| 958 | Machine learning insights in predicting heavy metals interaction with biochar | X Wei, Y Liu, L Shen, Z Lu, Y Ai, X Wang - Biochar, 2024 - Springer | Cited by 29 |
| 959 | Machine learning for coverage optimization in wireless sensor networks: a comprehensive review | OS Egwuche, A Singh, AE Ezugwu, J Greeff… - Annals of Operations …, 2023 - Springer | Cited by 47 |
| 960 | survex: an R package for explaining machine learning survival models | M Spytek, M Krzyziński, SH Langbein, H Baniecki… - …, 2023 - academic.oup.com | Cited by 30 |
| 961 | Exploring machine learning solutions for overcoming challenges in IoT-based wireless sensor network routing: a comprehensive review | R Priyadarshi - Wireless Networks, 2024 - Springer | Cited by 75 |
| 962 | Engagement assessment in project-based education: a machine learning approach in team chat analysis | S Farshad, E Zorin, N Amangeldiuly… - Education and Information …, 2024 - Springer | Cited by 34 |
| 963 | [PDF][PDF] Ransomware detection with machine learning by applying the lapranove function on bytecode | T Zhong, J Li - 2024 - files.osf.io | Cited by 85 |
| 964 | [PDF][PDF] Leveraging machine learning to optimize renewable energy integration in developing economies | I Barrie, CP Agupugo, HO Iguare… - Global Journal of …, 2024 - researchgate.net | Cited by 31 |
| 965 | Bias in machine learning models can be significantly mitigated by careful training: Evidence from neuroimaging studies | R Wang, P Chaudhari, C Davatzikos - Proceedings of the National …, 2023 - pnas.org | Cited by 79 |
| 966 | [HTML][HTML] AutoML: A systematic review on automated machine learning with neural architecture search | I Salehin, MS Islam, P Saha, SM Noman, A Tuni… - Journal of Information …, 2024 - Elsevier | Cited by 194 |
| 967 | [PDF][PDF] An intelligent machine learning approach for fraud detection in medical claim insurance: A comprehensive study | S Agarwal - Scholars Journal of Engineering and Technology, 2023 - saspublishers.com | Cited by 55 |
| 968 | Machine learning for advancing low-temperature plasma modeling and simulation | J Trieschmann, L Vialetto… - Journal of Micro …, 2023 - spiedigitallibrary.org | Cited by 36 |
| 969 | Machine learning for urban heat island (UHI) analysis: Predicting land surface temperature (LST) in urban environments | G Tanoori, A Soltani, A Modiri - Urban Climate, 2024 - Elsevier | Cited by 93 |
| 970 | The impact of imputation quality on machine learning classifiers for datasets with missing values | T Shadbahr, M Roberts, J Stanczuk, J Gilbey… - Communications …, 2023 - nature.com | Cited by 83 |
| 971 | Machine learning prediction of the degree of food processing | G Menichetti, B Ravandi, D Mozaffarian… - Nature …, 2023 - nature.com | Cited by 123 |
| 972 | A novel approach utilizing machine learning for the early diagnosis of Alzheimer's disease | KMM Uddin, MJ Alam, MA Uddin, S Aryal - Biomedical Materials & …, 2023 - Springer | Cited by 82 |
| 973 | Current status and analysis of machine learning in hepatocellular carcinoma | S Feng, J Wang, L Wang, Q Qiu… - Journal of clinical …, 2023 - pmc.ncbi.nlm.nih.gov | Cited by 30 |
| 974 | Detecting insurance fraud using supervised and unsupervised machine learning | J Debener, V Heinke, J Kriebel - Journal of Risk and Insurance, 2023 - Wiley Online Library | Cited by 67 |
| 975 | Evaluation of machine learning algorithms for groundwater quality modeling | S Sahour, M Khanbeyki, V Gholami, H Sahour… - … Science and Pollution …, 2023 - Springer | Cited by 42 |
| 976 | Leveraging Temporal Patterns with LSTMs Networks for Financial Forecasting: A New Stastical Machine Learning Approach | K Thinakaran, S Soman, L Anitha… - … Security and Artificial …, 2023 - ieeexplore.ieee.org | Cited by 60 |
| 977 | Environmental sustainability: A machine learning approach for cost analysis in plastic recycling classification | B Carrera, JB Mata, VL Pinol, K Kim - Resources, Conservation and …, 2023 - Elsevier | Cited by 34 |
| 978 | New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease | R Gupta, S Kumari, A Senapati, RK Ambasta… - Ageing research …, 2023 - Elsevier | Cited by 119 |
| 979 | Assessment of groundwater suitability for sustainable irrigation: a comprehensive study using indexical, statistical, and machine learning approaches | G Singh, J Singh, OA Wani, JC Egbueri… - Groundwater for …, 2024 - Elsevier | Cited by 72 |
| 980 | [HTML][HTML] Advances in hydrogen storage materials: harnessing innovative technology, from machine learning to computational chemistry, for energy storage solutions | AI Osman, M Nasr, AS Eltaweil, M Hosny… - International journal of …, 2024 - Elsevier | Cited by 131 |
| 981 | [PDF][PDF] Técnicas y aplicaciones del Machine Learning e Inteligencia Artificial en educación: una revisión sistemática | W Forero-Corba, FN Bennasar - RIED-Revista Iberoamericana de …, 2024 - redalyc.org | Cited by 165 |
| 982 | Penggunaan Python sebagai bahasa pemrograman untuk machine learning dan deep learning | MRS Alfarizi, MZ Al-farish, M Taufiqurrahman… - Karimah …, 2023 - ojs.unida.ac.id | Cited by 121 |
| 983 | [CITATION][C] Pembelajaran Machine Learning | A Wijoyo, AY Saputra, S Ristanti, S Sya'ban, M Amalia… - … Ilmu Komput. dan Sci., vol. 3 …, 2024 | Cited by 34 |
| 984 | Penerapan machine learning dalam prediksi tingkat kasus penyakit di Indonesia | RG Wardhana, G Wang… - Journal of Information …, 2023 - devjurnal.amikom.ac.id | Cited by 49 |
| 985 | [CITATION][C] Perbandingan Algoritma Machine Learning untuk Analisis Sentimen Berbasis Aspek pada Review Female Daily | MH Wicaksono, MD Purbolaksono, S Al Faraby - eProceedings of Engineering, 2023 | Cited by 307 |
| 986 | [CITATION][C] Prediksi hasil panen tanaman pangan sumatera dengan metode machine learning | A Satria, RM Badri, I Safitri, H Artikel - Digital Transformation Technology, 2023 | Cited by 30 |
| 987 | Enhancing financial fraud detection using adaptive machine learning models and business analytics | A Adewumi, SE Ewim, NJ Sam-Bulya… - International Journal of …, 2024 - elibrary.ru | Cited by 68 |