A universal strategy for the creation of machine learning-based atomistic force fields

Tran Doan Huan, Rohit Batra, James Chapman

Machine Learning: ECML-94

Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application

Joseph F. Murray, Gordon F. Hughes, Kenneth Kreutz-Delgado et al.

A machine learning approach for automated recognition of movement patterns using basic, kinetic and kinematic gait data

Rezaul Begg, Joarder Kamruzzaman

Explainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survival

Arturo Moncada‐Torres, Marissa C. van Maaren, Mathijs P. Hendriks et al.

Emerging Applications of Machine Learning in Food Safety

Xiangyu Deng, Shuhao Cao, Abigail L. Horn

BWA-MEME: BWA-MEM emulated with a machine learning approach

Youngmok Jung, Dongsu Han

When Machine Learning Meets Privacy in 6G: A Survey

Yuanyuan Sun, Jiajia Liu, Jiadai Wang

Learning earth system models from observations: machine learning or data assimilation?

Alan Geer

Decision-making for financial trading: A fusion approach of machine learning and portfolio selection

Felipe Dias Paiva, Rodrigo T. N. Cardoso, Gustavo Peixoto Hanaoka et al.

A State of Art Techniques on Machine Learning Algorithms: A Perspective of Supervised Learning Approaches in Data Classification

R. Saravanan, Pothula Sujatha

Unsupervised Machine Learning and Band Topology

Mathias S. Scheurer, Robert-Jan Slager