Andrea Pasini

Ph.D. in Ingegneria Informatica E Dei Sistemi , 33^rd cycle (2017-2020)

Ph.D. obtained in 2021

Profile

Research topic

Exploiting semantics to enhance deep learning models

Research interests

Life sciences

Biography

I received the master’s degree in computer engineering from Politecnico di Torino, Italy, in 2017. I'm a PhD student in DAUIN department since 2017.
My main research interests are concerned about the fields of machine learning, deep learning, big data and data mining. I'm focusing on the study of how to integrate deep learning architectures (e.g. Convolutional Neural Networks for Image Segmentation) with semantic knowledge.

Awards and Honors

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)

Teaching

Teachings

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

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Publications

Works published during the Ph.D. View all publications in Porto@Iris

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)