Springer Series on Challenges in Machine Learning (current)
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Gesture Recognition [PDF manuscript] Over 10'000 downloads in 2017 (top 25% most downloaded ebooks)
Sergio Escalera, Isabelle Guyon, and Vassilis Athitsos (Eds.) 2017

Neural Connectomics Challenge [PDF manuscript]
Demian Battaglia, Isabelle Guyon, Vincent Lemaire, Javier Orlandi, Bisakha Ray, and Jordi Soriano (Eds.) 2017

​The NIPS '17 Competition: Building Intelligent Systems 
​Escalera, Sergio, Weimer, Markus (Eds.) 2018

​Explainable and Interpretable Models in Computer Vision and Machine Learning​ [PDF manuscript]
Hugo Jair Escalante, et al. (Eds.) 2018

Automated Machine Learning: Methods, Systems, Challenges [PDF of manuscript]
Editors: Hutter, Frank, Kotthoff, Lars, Vanschoren, Joaquin (Eds.) 2019

Inpainting and Denoising Challenges [PDF manuscript]
Editors: Escalera, S., Ayache, S., Wan, J., Madadi, M., Güçlü, U., Baró, X. (Eds.) 2019

​Cause Effect Pairs in Machine Learning [PDF of manuscript]
Editors: Guyon, Isabelle, Statnikov, Alexander, Batu, Berna Bakir (Eds.) 2019

The NeurIPS '18 Competition: From Machine Learning to Intelligent Conversations
Editors: Escalera, Sergio, Hebrick, Ralf (Eds.) 2019 [ PDF manuscript ]

Microtome Series on Challenges in Machine Learning (2011-2014)

Hands-on Pattern Recognition: Challenges in Machine Learning, volume 1 [Free PDF]
Isabelle Guyon, Gavin Cawley, Gideon Dror, and Amir Safari (Eds.) 2011

Causation and Prediction Challenge: Challenges in Machine Learning, volume 2 [Free PDF]
Isabelle Guyon, Constantin Aliferis, Greg Cooper, Andre Elisseeff, Jean-Philippe Pellet, Peter Spirtes, and
Alexander Statnikov (Eds.) 2010

The 2009 Knowledge Discovery in Data Competition (KDD Cup 2009), volume 3 [Free PDF]
Gideon Dror, Marc Boulle, Isabelle Guyon, Vincent Lemaire, and David Vogel (Eds.) 2011

Causality: Objectives and Assessment, volume 4 [Free PDF]
Isabelle Guyon, Dominik Janzing, and Bernhard Scholkopf (Eds.) 2011

Causality in Time Series, volume 5 [Free PDF]
Florin Popescu and Isabelle Guyon (Eds.) 2013

Active Learning Challenge, volume 6 [Free PDF]
Isabelle Guyon, Gavin Cawley, Gideon Dror, Vincent Lemaire and Alexander Statnikov (Eds.) 2012

Unsupervised and Transfer Learning, volume 7 [Free PDF]
Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham Taylor, and Daniel Silver (Eds.) 2013

​Advances in Causal Structure Learning, volume 8 [Free PDF]
Constantin Aliferis, Gregory Cooper, Andre Elisseeff, Isabelle Guyon, and Peter Spirtes (Eds.) 2014

NIPS 2003 feature selection challenge book

Feature Extraction: Foundations and Applications [PDF manuscript]
​Isabelle Guyon, Steve Gunn, Masoud Nikravesh, and Lofti Zadeh  (Eds.) 2006
Springer.