Proceedings of the 22nd international conference on Machine learning - ICML '05

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems

Laura von Rueden, Sebastian Mayer, Katharina Beckh

Finding Density Functionals with Machine Learning

John Snyder, Matthias Rupp, Katja Hansen

Gaussian Processes for Machine Learning (GPML) Toolbox

Carl Edward Rasmussen, Hannes Nickisch

Survey of Machine Learning Algorithms for Disease Diagnostic

Meherwar Fatima, Maruf Pasha

Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions

Mohammad Mustafa Taye

Overfitting and undercomputing in machine learning

Tom Dietterich

Preparing Medical Imaging Data for Machine Learning

Martin J. Willemink, Wojciech A. Koszek, Cailin Hardell et al.

How Machine Learning Will Transform Biomedicine

Jeremy Goecks, Vahid Jalili, Laura M. Heiser

What can machine learning do? Workforce implications

Erik Brynjolfsson, Tom M. Mitchell

Lifelong Machine Learning

Zhiyuan Chen, Bing Liu

Mol2vec: Unsupervised Machine Learning Approach with Chemical Intuition

Sabrina Jaeger-Honz, Simone Fulle, Samo Turk