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Michalis Vazirgiannis

Researcher at École Polytechnique

Publications -  355
Citations -  15006

Michalis Vazirgiannis is an academic researcher from École Polytechnique. The author has contributed to research in topics: Computer science & Cluster analysis. The author has an hindex of 49, co-authored 326 publications receiving 13390 citations. Previous affiliations of Michalis Vazirgiannis include French Institute for Research in Computer Science and Automation & Télécom ParisTech.

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Limiting Data Exposure in Multi-Label Classification Processes

TL;DR: In this article, the authors address the case of decision making processes based on sets of classifiers, typically multi-label classifiers and propose an approach, termed Minimum Exposure, to reduce the quantity of information provided by the users, in order to protect her privacy, reduce processing costs for the organization, and financial lost in the event of a data breach.
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Limiting Data Exposure in Multi-Label Classification Processes

TL;DR: This paper proposes a practical implementation using state of the art multi-label classifiers, and analyzes the effectiveness of the solution on several real multi- label data sets.
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BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets

TL;DR: BERweetFR as mentioned in this paper is the first large-scale pre-trained language model for French tweets, initialized using the general-domain French language model CamemBERT which follows the base architecture of RoBERTa.
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Semantic relatedness hits bibliographic data

TL;DR: The Omiotis measure is introduced, which captures the semantic relatedness between text segments and enables the thematic organization of the bibliographic data stored in online databases.
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An Object-Oriented Framework for Knowledge Representation Based on Fuzzy Sets

TL;DR: The extensions of a data model developed in the department suitable for hypermedia information systems are described to support knowledge representation and uncertainty handling and methods from the fuzzy sets theory are adopted.