Chemprop: A Machine Learning Package for Chemical Property Prediction

Esther Heid, Kevin P. Greenman, Yunsie Chung

An Introduction to Support Vector Machines and Other Kernel‐based Learning Methods

Machine learning approaches to estimating software development effort

Kannan Srinivasan, Douglas Fisher

Machine learning approaches for the prediction of signal peptides and other protein sorting signals

Henrik Nielsen, Søren Brunak, Gunnar von Heijne

Open Graph Benchmark: Datasets for Machine Learning on Graphs

Weihua Hu, Matthias Fey, Marinka Žitnik

MLxtend: Providing machine learning and data science utilities and extensions to Python’s scientific computing stack

Sebastian Raschka

Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems

Sholom M. Weiss, Casimir A. Kulikowski

Machine learning in energy economics and finance: A review

Hamed Ghoddusi, Germán G. Creamer, Nima Rafizadeh

A new era: artificial intelligence and machine learning in prostate cancer

S. Larry Goldenberg, Guy Nir, Septimiu E. Salcudean et al.

Interpretable machine learning for knowledge generation in heterogeneous catalysis

Jacques A. Esterhuizen, Bryan R. Goldsmith, Suljo Linic et al.

A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects

Absalom E. Ezugwu, Abiodun M. Ikotun, Olaide O. Oyelade et al.

Fairness in Machine Learning

Luca Oneto, Silvia Chiappa