Romain Bourqui
- Maître de Conférences
- IUT
- Département
- SeD
- Équipe
- Bench to Knowledge and Beyond
- Fonction administrative
- Responsable Equipe BKB (Dpt Systèmes et Données). Responsable de l'alternance au Dept Informatique de l'IUT
- Page personnelle
- http://www.labri.fr/perso/bourqui
- Adresse E-mail
- romain.bourqui
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labri.fr - Bureau
- 371
- Tel
- +33 (0)5 40 00 35 02
Recherche
The development of data acquisition techniques makes possible the generation more and more data. The size and complexity of this data raises a new problem: do traditional data analysis tools (e.g. diagrams, spreadsheets, etc.) allow to explore them efficiently? It seems obvious that the analysis of a list of several thousand (or even millions or billions) of lines requires a significant effort for experts. This constant increase therefore makes crucial the design of data exploration and analysis tools that allow their exploitation. This is even the more true in the era of Big Data, where the size of data far exceeds the capabilities of conventional computers. The objective of my research work is therefore the development of such tools. In order to allow the visual exploration of complex and/or massive data, my work focuses on the definition of graph drawing algorithms and the definition of data summary visualizations, also called abstract visualizations.
The improvement of computing power as well as the availability of large data sets, especially in distributed infrastructures, have allowed the development of supervised learning methods. However, these methods, and in particular deep neural networks, are difficult to explain. This makes them currently unusable in certain application domains such as health and security. These networks offer particularly interesting case studies due to their size and complexity. The current direction of my research is not only oriented towards visualization for supervised learning in order to explain the predictions, improve their performance or reduce their size in order to reduce the necessary computing resources (energy cost, implementation in connected objects), but also towards the use of these methods for the automatic evaluation of visualization techniques.
Comité de programme & Comité d'organisation
- Re-lecteur pour la conférence Eurovis 2008, 2009, 2010.
- Re-lecteur pour la conférence InfoVis 2008, 2009, 2010.
- Re-lecteur pour la conférence Pacific-Vis 2009.
- Re-lecteur pour le journal international IEEE Transaction on Visualization and Computer Graphics
- Membre du comité d'organisation de la conférence Eurovis 2010.
- Membre du comité de programme du livre Advance on Knowledge Discovery and Managment 2009, post-actes de la conférence EGC'09.
- Membre du comité d'organisation de la conférence PariSTIC 2006.
Extrait de publications
- Alexey Zhukov, Jenny Benois-Pineau, Romain Giot, Romain Bourqui. Explainable AI in Image Classification Tasks: How to Choose the Best?. Emotional Data Applications and Regulation of Artificial Intelligence in Society, 69, Springer Nature Switzerland, pp.49-70, 2025, Law, Governance and Technology Series,
- Alexey Zhukov, Jenny Benois-Pineau, Romain Giot, Romain Bourqui, Luca Bourroux. FEM and Multi-Layered FEM: Feature Explanation Methods with Statistical Filtering of Important Features. Emerging Topics in Pattern Recognition and Artificial Intelligence, 09, WORLD SCIENTIFIC, pp.295-327, 2024, Series on Language Processing, Pattern Recognition, and Intelligent Systems,
- Hyeon Yu, Jenny Benois-Pineau, Romain Bourqui, Romain Giot, Alexey Zhukov. Mean Opinion Score as a New Metric for User-Evaluation of XAI Methods. arXiv, arXiv, 2024,
- Loann Giovannangeli, Frédéric Lalanne, Romain Giot, Romain Bourqui. Overlap Removal by Stochastic Gradient Descent with(out) Shape Awareness. IEEE Transactions on Visualization and Computer Graphics, 2024, pp.1-17.
- B. La Rosa, G. Blasilli, R. Bourqui, D. Auber, G. Santucci, et al.. State of the Art of Visual Analytics for eXplainable Deep Learning. Computer Graphics Forum, In press,
Administration
Depuis 2026, membre élu de la Commission Recherche du Conseil Académique de l'Université de Bordeaux
Depuis 2020, responsable de l'équipe de recherche BKB du LaBRI
Depuis 2018, membre nommé du CNU section 27