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stat.ML2016
Interpretability in Linear Brain Decoding
Seyed Mostafa Kia, Andrea Passerini
Improving the interpretability of brain decoding approaches is of primary interest in many neuroimaging studies. Despite extensive studies of this type, at present, there is no for…
stat.ML2016
Constructive Preference Elicitation by Setwise Max-margin Learning
Stefano Teso, Andrea Passerini, Paolo Viappiani
In this paper we propose an approach to preference elicitation that is suitable to large configuration spaces beyond the reach of existing state-of-the-art approaches. Our setwise…