Citing Works
Machine learning can be as good as maximum likelihood when reconstructing phylogenetic trees and determining the best evolutionary model on four taxon alignments
Nikita Kulikov, Fatemeh Derakhshandeh, Christoph Mayer
Molecular Phylogenetics and Evolution · 2024
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Machine Learning Classification Approach for Empirical Analysis of Therapeutic Drug Monitoring
Jigna Bhupendra Prajapati, Bhupendra Gopalbhai Prajapati, Deep Anilkumar Prajapti
International Conference on Control, Computing, Communication and Materials (ICCCCM) · 2024
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Machine learning data-based approaches for autism spectrum disorder classification utilising facial images
Rafail Nikou, Aristeidis Tsaknis, Paschalis Margaritis, Stylianos Alvanos, Konstantinos-Filippos Kollias, George S. Maraslidis, Nikolaos Asimopoulos, Panagiotis G. Sarigiannidis, Vasileios Argyriou, George F. Fragulis
AIP conference proceedings · 2024
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Machine Learning for Insurance Fraud Detection
Maria Chousa Santos, Teresa Susana Mendes Pereira, Isabel Amélia Costa Mendes, António Amaral
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · 2024
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Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches
Lin Sze Khoo, Mei Kuan Lim, Chun Yong Chong, Róisín McNaney
Sensors · 2024
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Machine learning for open-pit mining: a systematic review
Shi Qiang Liu, Lizhu Liu, Erhan Kozan, Paul Corry, Mahmoud Masoud, Sai‐Ho Chung, Xiangong Li
International Journal of Mining Reclamation and Environment · 2024
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Machine learning for predicting colon cancer recurrence
Erkan Kayıkçıoğlu, Arif Hakan Önder, Burcu Bacak, T. Ahmet Serel
Surgical Oncology · 2024
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Machine learning for viscoelastic constitutive model identification and parameterisation using Large Amplitude Oscillatory Shear
Thomas John, Max Mowbray, A. Alalwyat, M. Vousvoukis, Philip A. Martin, Adam Kowalski, Cláudio P. Fonte
Chemical Engineering Science · 2024
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Machine Learning Fundamentals
A. S. Renugadevi, R. Jayavadivel, J. Charanya, P. Kaviya, R. Guhan
2024
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Machine learning implementation in small and medium-sized enterprises: insights and recommendations from a quantitative study
Peter Burggräf, Fabian Steinberg, Carl René Sauer, Philipp Nettesheim
Production Engineering · 2024
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