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Alexander Loktyushin, Retrospective motion correction of magnitude-input MR images JdF 2
Efficient Real-Time Pixelwise Object Class Labeling for Safe Human-Robot Collaboration in Industrial Domain, Vivek Sharma, Frank Dittrich, Sule Yildirim-Yayilgan and Luc Van Gool Rubens
Orly Avner and Shie Mannor, Learning to coordinate without communication in multi-user multi-armed bandit problems Matisse
Joelle Pineau, Analyzing Open Data from the City of Montreal Faidherbe
Philippe Hamel, Google, To Have a Tiger by the Tail: Improving Music Recommendation for International Users JdF 1
Michele Sebag (CNRS), Algorithm Recommendation as Collaborative Filtering Van Gogh
Nicolas Chapados (ApSTAT Technologies) Artois
Sara Hajian Discrimination- and Privacy-Aware Data Mining CdG
Roland Memisevic, University of Montreal Vauban
Marius Kloft, Large-scale Multi-Task and Multiple Kernel Learning Pasteur
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Cedric Mesnage, University of Bristol, Trend Extraction on Twitter Time Series for Music Discovery JdF 1
Fernando Diaz, Sorelle Friedler, Mykola Pechenizkiy, Hanna Wallach, and Suresh Venkatasubramanian (Moderator) A Closing Panel Discussion CdG
Joaquin Vanschoren (Eindhoven Univ. of Tech.), OpenML: A Foundation for Networked & Automatic Machine Learning Van Gogh
Gilles Stoltz (CNRS) Artois
Rich Caruana (tentative) Turin
Marleen de Bruijne, Erasmus Medical Center & DIKU Copenhagen JdF 2
Sharad Mehrotra, Towards 'on the fly' data cleaning Faidherbe
Ashutosh Saxena and Ashesh Jain, RoboBrain Knowledge Engine: Learning from Weak Human Signals Rubens
Panel Discussion (topic: Future of Deep Learning) Vauban
poster session continues Pasteur
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