ANDREA PASINI

Most recent publications

Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Farasin, Alessandro; ... (2021)
Double-Step deep learning framework to improve wildfire severity classification. In: Workshops of the 24th International Conference on Extending Database Technology/24th International Conference on Database Theory, EDBT-ICDT 2021, Nicosia (Cyprus), March 23-26, 2021. ISBN: 978-3-89318-084-4 Download fulltext
Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Garza, Paolo; Baralis, ... (2020)
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. In: 2020 IEEE International Conference on Big Data, Atlanta (US), December 10-13, 2020, pp. 5786-5788. ISBN: 978-1-7281-6251-5 Download fulltext
Attanasio, Giuseppe; Giobergia, Flavio; Pasini, Andrea; Ventura, Francesco; Baralis, ... (2020)
DSLE: A Smart Platform for Designing Data Science Competitions. In: 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), Madrid (Spain), July 13-17, pp. 133-142. ISBN: 978-1-7281-7303-0 Download fulltext
Floriello, D.; Ortenzi, A.; Idiomi, M.; Ricci, S.; Amendola, A.; Carminati, S.; Baralis, ... (2019)
Automatic pore typing classification from 2D images. In: Offshore Mediterranean Conference and Exhibition 2019, OMC 2019, ita, 2019
Pasini, Andrea; Baralis, Elena (2019)
Detecting Anomalies in Image Classification by Means of Semantic Relationships. In: 2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), pp. 231-238. ISBN: 978-1-7281-1488-0 Download fulltext
Pasini, Andrea; Baralis, Elena; Garza, Paolo; Floriello, Davide; Idiomi, Michela; ... (2019)
Adaptive hierarchical clustering for petrographic image analysis. In: Data Analytics solutions for Real-LIfe APplications (DARLI-AP). 2019 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2019, Lisbon (PRT), 2019. ISSN 1613-0073
Cagliero, L.; Garza, P.; Pasini, Andrea; Baralis, E. (2018)
Additional reviewer assignment by means of weighted association rules. In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING. ISSN 2168-6750
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