Ph.D. in Ingegneria Informatica E Dei Sistemi , 33rd cycle (2017-2020)
Ph.D. obtained in 2021
Dissertation:
Semantics-aware image understanding (Abstract)
Tutors:
Elena Maria Baralis
Research presentation:
PosterProfile
Research topic
Exploiting semantics to enhance deep learning models
Research interests
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
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
- 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
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- 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; 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) - 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)