Data normalization in machine learning by V. V. Starovoitov, Yu. I. Golub

“…In machine learning, the input data is often given in different dimensions. …”
Get full text

Machine learning for drug science by Walter F. de Azevedo Jr.

Get full text

An Alternate History for Machine Learning? by Peter Rousseeuw

Get full text

Machine Learning for Medical Applications by Huiyu Zhou, Jinshan Tang, Huiru Zheng

Get full text

Clinical Applications of Machine Learning by Nadayca Mateussi, PhD, Michael P. Rogers, MD, Emily A. Grimsley, MD, Meagan Read, MD, Rajavi Parikh, DO, Ricardo Pietrobon, MD, PhD, Paul C. Kuo, MD

“…This review introduces interpretable predictive machine learning approaches, natural language processing, image recognition, and reinforcement learning methodologies to familiarize end users. …”
Get full text

Machine Learning Applications in Dentistry by Metehan Unal, Mehmet Serdar Güzel, Gazi Erkan Bostancı, Güler Burcu Senirkentli

Subjects: Get full text

Machine Learning-Driven Innovations in Microfluidics by Jinseok Park, Yang Woo Kim, Hee-Jae Jeon

Subjects: Get full text

APPLICATION OF MACHINE LEARNING IN BEHAVIORAL MODIFICATION by Sudeep Varshney, Aditi Chandra, Pushpendra Kumar Rajput, Sunil Kumar, Gunjan Varshney

Subjects: Get full text

DDoS Attack Detection with Machine Learning by Wei-Wu Tay, Siew-Chin Chong, Lee-Ying Chong

Subjects: Get full text

Advancing Regulatory Genomics With Machine Learning by Laurent Bréhélin

“…In recent years, several machine learning (ML) approaches have been proposed to predict gene expression signal and chromatin features from the DNA sequence alone. …”
Get full text

Machine learning for medical image classification by Gazi Husain, Jonathan Mayer, Molly Bekbolatova, Prince Vathappallil, Mihir Matalia, Milan Toma

“… This review article focuses on the application of machine learning (ML) algorithms in medical image classification. …”
Get full text

Stroke Prediction Based on Machine Learning by Zhang Yuhan

“…This study highlights the potential and limitations of machine learning in stroke prediction, showing that people need further optimization to enhance diagnostic performance.…”
Get full text

Machine Learning and Zombie Firms Classification by Koutaroh Minami, Yukihiro Yasuda

Subjects: Get full text

Machine learning in the prediction of human wellbeing by Ekaterina Oparina, Caspar Kaiser, Niccolò Gentile, Alexandre Tkatchenko, Andrew E. Clark, Jan-Emmanuel De Neve, Conchita D’Ambrosio

Subjects: Get full text

Machine learning for precision diagnostics of autoimmunity by Jan Kruta, Raphael Carapito, Marten Trendelenburg, Thierry Martin, Marta Rizzi, Reinhard E. Voll, Andrea Cavalli, Eriberto Natali, Patrick Meier, Marc Stawiski, Johannes Mosbacher, Annette Mollet, Aurelia Santoro, Miriam Capri, Enrico Giampieri, Erik Schkommodau, Enkelejda Miho

Subjects: Get full text

Enhanced chaotic communication with machine learning by Ji Xia, Luonan Chen, Huan-Fei Ma

“…In this work, a machine-learning-based framework is proposed for the chaotic shift keying scheme, which is robust against noise deterioration. …”
Get full text

Soil Science-Informed Machine Learning by Budiman Minasny, Toshiyuki Bandai, Teamrat A. Ghezzehei, Yin-Chung Huang, Yuxin Ma, Alex B. McBratney, Wartini Ng, Sarem Norouzi, Jose Padarian, Rudiyanto, Amin Sharififar, Quentin Styc, Marliana Widyastuti

Subjects: Get full text

Opportunities of machine learning algorithms for education by Olga Ovtšarenko

Subjects: Get full text