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A hyperbolic approach for learning communities on graphs
Detecting communities on graphs has received significant interest in recent literature. Current state-of-the-art approaches tackle this problem by...
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Binary Stochastic Representations for Large Multi-class Classification
Classification with a large number of classes is a key problem in machine learning and corresponds to many real-world applications like tagging of...
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Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization
Understanding urban mobility is a fundamental question for institutional organizations (transport authorities, city halls) and it involves many...
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An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
BackgroundThis article provides an overview of the first BioASQchallenge, a competition on large-scale biomedical semantic indexing and question...
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An empirical comparison of \(V\)-fold penalisation and cross-validation for model selection in distribution-free regression
Model selection is a crucial issue in machine learning and a wide variety of penalisation methods (with possibly data-dependent complexity penalties)...
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Structural Statistical Software Testing with Active Learning in a Graph
Structural Statistical Software Testing (SSST) exploits the control flow graph of the program being tested to construct test cases. Specifically,...
