Evasion Attacks against Machine Learning at Test Time

Battista Biggio, Igino Corona, Davide Maiorca

What can machine learning do? Workforce implications

Erik Brynjolfsson, Tom M. Mitchell

Gaussian Processes for Machine Learning (GPML) Toolbox

Carl Edward Rasmussen, Hannes Nickisch

Machine learning and data mining in manufacturing

Alican Doğan, Derya Birant

Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

Christopher K. I. Williams

Journal of Machine Learning Technologies

An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications

Esteban Samaniego, Cosmin Anitescu, Somdatta Goswami et al.

Machine Learning for Sequential Data: A Review

Thomas G. Dietterich

Machine learning in mental health: a scoping review of methods and applications

Adrian Shatte, Delyse Hutchinson, Samantha Teague

Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review

Swapan Talukdar, Pankaj Singha, Susanta Mahato

Elements of Machine Learning

Pat Langley

Machine Learning Methods Without Tears: A Primer for Ecologists

Julian D. Olden, Joshua J. Lawler, N. LeRoy Poff