Exploiting semantics to enhance deep learning models

• Best Student Paper Award, Conferenza AIKE 2019, Cagliari, 3-5 Giugno 2019. Titolo articolo: "Detecting Anomalies in Image Classification by means of Semantic Relationships" (2019)

Master of Science

• Big data: architectures and data analytics. A.A. 2017/18, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Big data: architectures and data analytics. A.A. 2018/19, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Big data: architectures and data analytics. A.A. 2018/19, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Data Science e Tecnologie per le Basi di Dati. A.A. 2018/19, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Data Science e Tecnologie per le Basi di Dati. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Data science lab: process and methods. A.A. 2019/20, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Data science lab: process and methods. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

• 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
  Contributo in Atti di Convegno (Proceeding)
• Pasini, Andrea (2021)
  Semantics-aware image understanding. relatore: BARALIS, ELENA MARIA; , 33. XXXIII Ciclo, P.: 141
  Doctoral Thesis
• 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
  Contributo in Atti di Convegno (Proceeding)
• 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
  Contributo in Atti di Convegno (Proceeding)
• 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
  Contributo in Atti di Convegno (Proceeding)
• 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
  Contributo in Atti di Convegno (Proceeding)
• 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
  Contributo in Atti di Convegno (Proceeding)
• 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, vol. 9, pp. 329-341. ISSN 2168-6750
  Contributo su Rivista