Nicola Di Mauro
News
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Paper accepted at UAI - July 21, 2021
Our paper Random Probabilistic Circuits, Nicola Di Mauro, Gennaro Gala, Marco Iannotta, Teresa M.A. Basile, has been accepted for publication in UAI 2021.
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Paper accepted at IEEE Access - January 20, 2020
Our paper Multi-Channel Deep Feature Learning for Intrusion Detection, Giusseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba, has been accepted for publication in IEEE Access Journal.
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Paper accepted at Journal of Intelligent Information Systems - September 18, 2019
Our paper Ensembles of density estimators for positive-unlabeled learning, Teresa M.A. Basile, Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Antonio Vergari, has been accepted for publication in Journal of Intelligent Information Systems.
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Paper accepted at Machine Learning Journal - September 18, 2018
Our paper Visualizing and understanding Sum-Product Networks, A. Vergari, N. Di Mauro and F. Esposito, has been accepted for publication in Machine Learning Journal.
I'm associate professor of Computer Science at DIB, University of Bari "Aldo Moro". My research interests are in the area of Artificial Intelligence, Machine Learning, Deep Learning, with particular emphasis on tractable probabilistic models and on methods for structured and relational data. You may find my list of publications on my Google Scholar profile, on the DBLP computer science bibliography, and on this page.