Thomas Guyet

Researcher in Computer Science - Inria/Beagle


  • 26/10/2022 -- ROIA journal is now indexed in DBLP!
  • 29/09/2022 -- Nicolas Sourbier defended today his PhD entitled "Learning-based intrusion detection: an imbalanced constantly evolving and timely Problem".
  • 29/09/2022 -- Victor Guyomard presented his work on counterfactual generation in the main room of ECML! Impressive!
  • 01/08/2022 -- I'm proud to annouce that our join work, with Nicolas Markey, on the comparison between chronicles and temporal logics has been accepted to the TIME Symposium.
  • 14/06/2022 -- Johanne Bakalara defended her PhD in Rennes on June, 23th. Congratulation!
  • 14/06/2022 -- The article of Victor Guyomard has been accepted to ECML: "VCNet: A self-explaining model for realistic counterfactual generation".
  • 01/06/2022 -- The collaboration with P. Dusseux and H. Nicolas in the Herdect project leads to the proposal of a model for estimating grass height with satellite images. Its accuracy is lower than 2cm! Our article "Monitoring of grassland productivity using Sentinel-2 remote sensing data" will be published in the International Journal of Applied Earth Observation and Geoinformation.
  • 15/05/2022 -- Submission for AALTD@ECML (located in Grenoble, France) is now open [submission DL: 12/6/2022]. (submission page).
  • 24/03/2022 -- Nicolas Sourbier has a new paper accepted to the prestigious GECCO conference. It deals with "imbalanced classification with TPG Genetic Programming". Congrat' Nicolas.
  • 20/03/2022 -- We (with Wenbin Zhang and Albert Bifet) have an article accepted to the ICCS conference to present our work on incremental episodes mining.
  • 10/03/2022 -- The CominLabs SPARS project has been accepted (in collaboration with P. Jannin (PI), C. Sinoquet, P. Leray, P-F Marteau). This project will contribute to the field of surgical data analysis.
  • 10/03/2022 -- Our article on time series desaggregation has been accepted to ICPRAI conference (special session on time series). Thanks to A.-I. Graux for submitting us this challenging task.
  • 29/01/2022 -- The article of Nicolas Sourbier "SECURE-GEGELATI Always-On Intrusion Detection through GEGELATI Lightweight Tangled Program Graphs" has been published in the Journal of Signal Processing Systems
  • 27/01/2022 -- Lola Beuchée won the EGC challenge 2022 ... see her article (in French) : "Prédiction du niveau de nappes phréatiques : comparaison d’approches locale, globale et hybride"
  • 16/01/2022 -- The Cameras Rebelles festival (by Amnesty internation) will reflect upon artificial intelligence and human rights. I'll be happy to contribute to the reflexions around the use of artificial intelligence in the field of medecine.
  • 15/12/2021 -- Victor's paper to EGC is nominated for the best paper


I am an full researcher at the Inria Center of Lyon, since 2021. I am hosted currently hosted in Beagle team and working within the AIStroSight project. I am currently co-holder of an Inria/APHP chair AIRACLES on high-dimensional data for care pathways analysis. From 2007 to 2021, I was assistant professor at Institut Agro -- AGROCAMPUS OUEST and was working in the IRISA laboratory (LACODAM Team) in Rennes, responsible of the Health and Biology transverse research theme.
In 2020, I defended my habilitation "Enhancing sequential pattern mining with time and reasoning". I received my PhD thesis in Computer Science in 2007 from National Polytechnic Institute of Grenoble. During my Phd ("Collaborative interpretation of time series. Application to intensive care data."), I worked in the Grenoble Informatic Laboratory (LIG) in a wide range of the artificial intelligence domain (cognitive science, data mining and applications) and in the TIMC Laboratory in a team that works in the applied field of cardio-respiratory physiology (PRETA).

Research interests

My research area is artificial intelligence (AI) with a multidisciplinary approach - algorithmic, design methodologies and cognitive science. I am particularly interested in discovering spatial and temporal patterns in semantically rich datasets. My areas of application are related to agronomy (mainly landscapes) and health (care pathways analysis).

My first research direction is the temporal and spatial pattern mining. Data from the observation of living systems (agricultural and medical systems) have a strong spatial or temporal dimension. But the spatial and temporal information is often underutilized in the data mining algorithms. The challenge lies in identifying new kind of temporal/spatial patterns that have valuable properties to make possible their extraction by complete and correct algorithms. A recent approach I'm developping is the use declarative programming, more especially Answer Set Programming (ASP) with clingo, to mix pattern mining and reasonning.
My second research direction aims at better including the user in the loop of knowledge discovery. Specifically, I am interested in implementing interactive systems to support users in their exploration process of large datasets. To acheive this goal I propose an enactive point of view of the data interpretation that brings creative solutions to take into account the cognitive ergonomy of the knowledge discovery tools.

Current supervisions

  • Victor Guyomard, PhD candidate (2020-2023), with F. Fessant (Orange, co-Dir), A. Termier (co-dir) and T. Bouadi
  • Eric Pardoux, PhD candidate (2021-2024), with M Laerke (CNRS, co-dir)
  • Hana Sebia, PhD candidate (2022-2025), with H. Berry (co-Dir)

Former PhD supervisions

  • Nicolas Sourbier, PhD candidate (2019-2022), with M. Pelcat (Dir), F. Majorczyk and O. Gesny
  • Johanne Bakalara, PhD candidate (2018-2021), with O. Dameron, E. Oger (co-Dir) and A. Happe
  • Colin Leverger, PhD candidate (2017-2020), with A. Termier (Dir), S. Malinowski, R. Marguerie (Orange)
  • Clement Gautrais, PhD candidate (oct 2015-2018), with A. Termier (Dir), R. Quiniou, P. Cellier
  • Yann Dauxais, PhD candidate (feb 2015-2018), with D. Gross-Amblard and A. Happe (EA REPERES)



Current projects in which I am strongly involved in

  • AI-RACLES (2019-, Chaire APHP/Inria/Central Supelec) in collaboration with Pr. E. Audureau (APHP), A. Tennenhaus (CS) and L. Le Brusquet (CS). This project aims at using high-dimensional data analysis techniques to explore APHP datamart.
  • ED-AIM (2021-2024, CNRS Prime 80) in collaboration with P. Marty (CNRS/MFO), M. Laerke (CNRS/ENS Lyon). This project aims at investigating an ethical framework for artificial intelligence in medecine.

Past projects

  • DRIAS (2020, CNRS MITI) This project explore the notion of public laws in the context of artificial intelligence technologies applied to health (and more especially the accountability of public institutes) in collaboration with IDPSP, REPERES, CERNA, INSPE.
  • PEPS (Pharmaco-Epidemiology of Health Product) (2015-2019, ANSM) The main aims of this project is to make pharmacoepidemiological studies from the medico-administrative databases. These databases contains administrative information about the reimbursement of the 65 millions of french insured. I'm responsible of the scientific program of the IRISA partner. Our aim is to develop temporal pattern mining techniques for care pathway analysis.
  • Hyptser (Hybrid models for predicting time series) (2017-2019, PGMO/IRSDI) collaborative work with S. Malinowski (LinkMedia) and V. Lemaire (Orange Labs).
  • Negative sequential pattern analysis (2017, EDF) collaborative work with the french electricity provider on negative sequential pattern analysis.
  • SePaDec (Sequential Patterns with Declarative Approaches) (2015-2016, Région Bretagne) The aim of this project is to explore declarative approaches, especially Anwser Set Programming to extract sequential patterns. This project will be applied to deeply explore small sets of care pathways. The project is being carried out with B. Negrevergne.
  • PayTal (2012/2015, PPD2) Urban sprawling and landscape relations analysis.
  • PayOTe (2009-2012, turns into an INRA Network) Characterization and simulation of realistic agricultural landscapes.
  • Couplage observation/simulation pour l'aide à la décision dans des syst&eagrave;mes complexes environnementaux (2014, RTR RISC-E) This project aimed at analysing the opportunity offered by artitificial intelligence and pattern mining to analyse remote sensing images.
  • SéSur - Security and monitoring in data streams (2007-2008, Inria) We developed on-line adaptative diagnosis system to analyse a stream of web-logs.


To contact me

Centre de recherche Inria de Lyon
Campus La Doua Villeurbanne Bâtiment CEI-2
56, Boulevard Niels Bohr - CS 52132
69603 Villeurbanne – France

Mail :
Phone : +33(0) 4 72 43 74 96
Devs: Inria GitLab, GitHub
Social networks: ORCID logo, LinkedIn logo