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Sebastiano Vascon

Ca' Foscari University of Venice

21 papers hereh-index 13786 citations43 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author9
  • last author8

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.LG4
  • cs.IR2
  • cs.SD2
  • cs.AI1
  • cs.MS1
affiliations
  • Ca' Foscari University of Venice
HomepageORCID 0000-0002-7855-1641

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedWild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning

148 citations · 151 across the 12 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018

Characterization of Visual Object Representations in Rat Primary Visual Cortex

Sebastiano Vascon, Ylenia Parin, Eis Annavini +3

For most animal species, quick and reliable identification of visual objects is critical for survival. This applies also to rodents, which, in recent years, have become increasingl…

cs.CV2018

Ancient Coin Classification Using Graph Transduction Games

Sinem Aslan, Sebastiano Vascon, Marcello Pelillo

Recognizing the type of an ancient coin requires theoretical expertise and years of experience in the field of numismatics. Our goal in this work is automatizing this time consumin…

cs.CV2018

Transductive Label Augmentation for Improved Deep Network Learning

Ismail Elezi, Alessandro Torcinovich, Sebastiano Vascon +1

A major impediment to the application of deep learning to real-world problems is the scarcity of labeled data. Small training sets are in fact of no use to deep networks as, due to…

cs.SD2018

Speaker Clustering Using Dominant Sets

Feliks Hibraj, Sebastiano Vascon, Thilo Stadelmann +1

Speaker clustering is the task of forming speaker-specific groups based on a set of utterances. In this paper, we address this task by using Dominant Sets (DS). DS is a graph-based…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.