Detecting Anomalies in Image Classification by Means of Semantic Relationships. - Andrea Pasini; Elena Baralis (AIKE, 2019)

Adaptive Hierarchical Clustering for Petrographic Image Analysis. - Andrea Pasini; Elena Baralis; Paolo Garza; Davide Floriello; Michela Idiomi; Andrea Ortenzi; Simone Ricci (EDBT/ICDT Workshops, 2019)

Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. - Simone Monaco; Andrea Pasini; Daniele Apiletti; Luca Colomba; Paolo Garza; Elena Baralis (IEEE BigData, 2020)

DSLE: A Smart Platform for Designing Data Science Competitions. - Giuseppe Attanasio; Flavio Giobergia; Andrea Pasini; Francesco Ventura; Elena Baralis; Luca Cagliero; Paolo Garza; Daniele Apiletti; Tania Cerquitelli; Silvia Chiusano (COMPSAC, 2020)

Double-Step deep learning framework to improve wildfire severity classification. - Simone Monaco; Andrea Pasini; Daniele Apiletti; Luca Colomba; Alessandro Farasin; Paolo Garza; Elena Baralis (EDBT/ICDT Workshops, 2021)

Additional Reviewer Assignment by Means of Weighted Association Rules. - Luca Cagliero; Paolo Garza; Andrea Pasini; Elena Baralis (IEEE Trans. Emerg. Top. Comput., 2021)

Semantic Image Collection Summarization With Frequent Subgraph Mining. - Andrea Pasini; Flavio Giobergia; Eliana Pastor; Elena Baralis (IEEE Access, 2022)