Machine Learning Interpretability: A Survey on Methods and Metrics

Diogo V. Carvalho, Eduardo M. Pereira, Jaime S. Cardoso et al.

Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

Tathiane M. Malta, Artem Sokolov, Andrew J. Gentles et al.

All-optical machine learning using diffractive deep neural networks

Xing Lin, Yair Rivenson, Nezih Tolga Yardimci

Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification

Ignacio Arganda‐Carreras, Verena Kaynig, Curtis Rueden et al.

Genetic Algorithms in Search, Optimization & Machine Learning

D. E. Goldberg

Ensemble Machine Learning

Dataset Shift in Machine Learning

GAUSSIAN PROCESSES FOR MACHINE LEARNING

Matthias Seeger

The Boosting Approach to Machine Learning: An Overview

Robert E. Schapire

Adversarial machine learning

Ling Huang, Anthony D. Joseph, Blaine Nelson

Implementation of machine-learning classification in remote sensing: an applied review

Aaron E. Maxwell, Timothy A. Warner, Fang Fang

KERNEL METHODS IN MACHINE LEARNING

Hofmann, T., Schölkopf, B., Smola, A.