Sebastiano VASCON

Position
Associate Professor
Telephone
041 234 8487
E-mail
sebastiano.vascon@unive.it
Scientific sector (SSD)
Informatica [INFO-01/A]
Website
www.unive.it/people/sebastiano.vascon (personal record)
 https://www.sebastianovascon.it
Office
Department of Environmental Sciences, Informatics and Statistics
Website: https://www.unive.it/dep.dais
Where: Campus scientifico via Torino
Room: office 514A (Alfa building, 5th floor)
Office
European Center for Living Technology (ECLT)
Research Institute
Research Institute for Digital and Cultural Heritage
Research Institute
Research Institute for Complexity

Ali, Waqar; Vascon, Sebastiano; Stadelmann, Thilo; Pelillo, Marcello Hierarchical glocal attention pooling for graph classification in PATTERN RECOGNITION LETTERS, vol. 10 (ISSN 0167-8655)
DOI 2024, Journal Article - ARCA card: 10278/5072521


Mohamed, Hebatallah A.; Pilutti, Diego; James, Stuart; Del Bue, Alessio; Pelillo, Marcello; Vascon, Sebastiano Locality-aware subgraphs for inductive link prediction in knowledge graphs in PATTERN RECOGNITION LETTERS, vol. 167, pp. 90-97 (ISSN 0167-8655)
DOI 2023, Journal Article - ARCA card: 10278/5014761


Ali W.; Vascon S.; Stadelmann T.; Pelillo M. Quasi-CliquePool: Hierarchical Graph Pooling for Graph Classification , SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, ACM, pp. 544-552, Convegno: SAC '23: Symposium on Applied Computing (ISBN 9781450395175)
DOI 2023, Article in Conference Proceedings - ARCA card: 10278/5036152


Elezi, Ismail; Seidenschwarz, Jenny; Wagner, Laurin; Vascon, Sebastiano; Torcinovich, Alessandro; Pelillo, Marcello; Leal-Taixe, Laura The Group Loss++: A deeper look into group loss for deep metric learning in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. PP, pp. 1-1 (ISSN 0162-8828)
DOI 2022, Journal Article - ARCA card: 10278/5003334


Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé The Group Loss for Deep Metric Learning , Proceedings of the European Conference on Computer Vision 2020, Springer, Convegno: European Conference on Computer Vision
DOI 2020, Article in Conference Proceedings - ARCA card: 10278/3729010