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I will defend my thesis titled ‘Multiplicity in the Partitioning of Signed Graphs’ on Tuesday, June 29th at 2 p.m. The presentation will be in French and will take place in a hybrid mode: at the Blaise Pascal amphitheater of the CERI and via video conference. The video link is: https://pod.univ-avignon.fr/live/these2/ You are all cordially invited. The jury will consist of: You are also invited to the thesis reception following the defense. Abstract: The partitioning of signed graphs is an important task from an application standpoint, as finding a balanced partition helps in understanding the system modeled by the signed graph. However, the standard approach in the literature aims to find a single partition, as if it adequately characterizes the system under study. Yet, multiple partitions may be needed to construct a fairer image of the studied system. Although this notion of multiplicity is crucial from the end-users’ perspective, it has been scarcely addressed in the literature. In this thesis, we aim to relax the assumption of a unique partition and search for multiple partitions, each within two distinct situations. The first situation concerns signed multiplex graphs. Such a graph consists of several separate graphs, referred to as layers, each Plus d'infos

I will defend my HDR entitled ‘Combining Heterogeneous Information: Contributions to the Extraction and Analysis of Feature-Rich Complex Networks’ on Wednesday, June 16, 2021, at 9 a.m. The presentation will be in English and will take place via video conference at the link https://pod.univ-avignon.fr/live/colloque/ You are all cordially invited to attend. Jury: Abstract: The concept of Complex Network is generally used in the literature to refer to a graph representing a real-world complex system. This confers such graphs so-called non-trivial topological properties that distinguish them from regular and random graphs. Among them, the most widely known are small-worldness and scale-freeness, whose study marked the beginning of a new research domain now called Network Science, and aiming at studying complex networks. It is a multidisciplinary field that relies largely on a number of pre-existing domains, in particular graph theory, quantitative sociology, computer science, operations research, statistical physics, and of course complex systems. Network Science is mainly a data science, as its starting point is the modeling of real-world systems. As such, its emergence is due not only to the convergence of interdisciplinary efforts, but also to the availability of the resources required to build and study large and/or numerous complex networks: Plus d'infos

On January 22, 2021, Mayeul Matthias will defend his thesis entitled “Recommendation of Personalized Cultural Paths – An Interdisciplinary Study of Automated Visit Proposals.” This thesis is supervised by Juan-Manuel Torres and Didier Josselin, and co-supervised by Fen Zhou. The jury consists of: Abstract: This thesis focuses on recommending cultural visits through an interdisciplinary approach. These works combine techniques from Operations Research and natural language processing while drawing on concepts from audience sociology and geography. We propose new methods for evaluating cultural points of interest and automatically creating tourist routes that take into account the desires expressed by a visitor. These principles are applied on two different scales and contexts: museum visits and cultural paths within a city. In the first part, we concentrate on visits to art museums based on the preferences expressed by the visitor and the prestige of the artworks. This dual approach allows classifying the works both according to the cultural affinities of the visitor and their importance within the museum. The latter is calculated by applying automatic text summarization algorithms to the museum’s official descriptions of the works, providing a visit profile reflecting the discovery of a museum through its masterpieces. This profile can then Plus d'infos

On December 1st, 2020, at 2:00 PM in the meeting room of LIA. Title: Mathematical Approaches for Retail Area Planning: Linear Models, Algorithms, and Multi-Agent Systems. Thesis in collaboration with Cyrille Genre-Grandpierre (UMR Espace) as part of an industrial regional scholarship. Due to the situation, the defense will be held remotely (like all theses currently).

Thesis defense of Carlos González entitled ‘Multimedia and Multilingual Automatic Summarization and Information Retrieval’ on Wednesday, December 18, 2019, at 2:00 PM in the Thesis Room (Saint Marthe – City Center). Jury: Abstract: As multimedia sources have become massively available online, helping users to understand the large amount of information they generate has become a major issue. One way to approach this is by summarizing multimedia content, thus generating abridged and informative versions of the original sources. This PhD thesis addresses the subject of text and audio-based multimedia summarization in a multilingual context. It has been conducted within the framework of the Access Multilingual Information opinionS (AMIS) CHISTERA-ANR project, whose main objective is to make information easy to understand for everybody. Text-based multimedia summarization uses transcripts to produce summaries that may be presented either as text or in their original format. The transcription of multimedia sources can be done manually or automatically by an Automatic Speech Recognition (ASR) system. The transcripts produced using either method differ from wellformed written language given their source is mostly spoken language. In addition, ASR transcripts lack syntactic information. For example, capital letters and punctuation marks are unavailable, which means sentences are nonexistent. To deal Plus d'infos