Thomas Guyet

Assistant Professor in Computer Science - IRISA/LACODAM


  • 29/07/2021 -- Victor Guyomard has an accepted paper to AIMLAI@ECML Workshop (sept 2021). Victor will present his proposal of an improvement of post-hoc counterfactual generation.
  • 22/07/2021 -- Mathieu Chambard has an accepted paper to AALTD@ECML workshop. He will present part of his intership on COVID care pathway analysis. This work is in collaboration with APHP (sept 2021).
  • 26/11/2020 -- Johanne Bakalara has an accepted paper to HEALTHINFO conference (feb 2021).
  • 20/11/2020 -- Colin Leverger defended his PhD entitled "Investigation of a framework for seasonal time series forecasting". Congratulation Colin!!
  • 26/10/2020 -- Johanne Bakalara will present her work entitled "An extension of chronicles temporal model with taxonomies-Application to epidemiological studies" next Thursday during the BDA conference.


I received my engineering diploma from Ecole Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble, France (ENSIMAG) in image processing in 2004 and 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).
From 2007 to now, I'm assistant professor at Institut Agro -- AGROCAMPUS OUEST and I'm working in the IRISA laboratory (LACODAM Team, previously DREAM) in Rennes. I was in partial secondment at Inria during 2015-2016.
In 2020, I defended my habilitation "Enhancing sequential pattern mining with time and reasoning".

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

  • Johanne Bakalara, PhD candidate (2018-2021), with O. Dameron (Dir), E. Oger (Dir) and A. Happe
  • Nicolas Sourbier, PhD candidate (2019-2022), with M. Pelcat (Dir), F. Majorczyk and O. Gesny
  • Victor Guyomard, PhD candidate (2020-2023), with F. Fessant (Orange, co-Dir) and T. Bouadi


Journal articles

Guyet, Thomas, Quiniou and René. "NegPSpan: efficient extraction of negative sequential pattern with embedding constraints". Data Min. Knowl. Discov., Vol. 34(2) : p. 563–609. 2020.
Drezen, Erwan, Guyet, Thomas and André Happe. "From medico-administrative databases analysis to care trajectories analytics: An example with the French SNDS". Fundamental & Clinical Pharmacology, Vol. : p. . 2017. URL:
Guyet, Thomas, Quiniou, René, Moinard, Yves, Schaub and Torsten. "Efficiency Analysis of ASP Encodings for Sequential Pattern Mining Tasks". Advances in Knowledge Discovery and Management, Vol. 7 : p. 41–81. 2017. URL:
Bailly, Adeline, Malinowski, Simon, Tavenard, Romain, Chapel, Laetitia, Guyet and Thomas. "Dense Bag-of-Temporal-SIFT-Words for Time Series Classification". Lecture Notes in Artificial Intelligence. 2016. URL:
Guyet, Thomas, Nicolas and Hervé. "Long term analysis of time series of satellite images". Pattern Recognition Letters, Vol. 70() : p. 17-23. 2016. URL:
Guyet, Thomas, Moinard, Yves, Quiniou and René. "Programmation par ensembles réponses pour simuler l’assolement d’un paysage". Revue d Intelligence Artificielle, Vol. 29(3-4) : p. 28. 2015. URL:
Guyet, Thomas, Malinowski, Simon, Benyounès and Mohand-Cherif. "Extraction des zones cohérentes par l’analyse spatio-temporelle d’images de télédétection". European Journal of GIS and Spatial Analysis / Revue Internationale de Géomatique, Vol. 25(4) : p. 473-494. 2015. URL:
Wei Wang, Thomas Guyet, René Quiniou, Marie-Odile Cordier, Florent Masseglia and Xiangliang Zhang. "Autonomic intrusion detection: Adaptively detecting anomalies over unlabeled audit data streams in computer networks". Knowl.-Based Syst., Vol. 70 : p. 103–117. 2014. URL:
Aubert, A. H., Tavenard, R., Emonet, R., de Lavenne, A., Malinowski, S., Guyet, T., Quiniou, R., Odobez, J.-M., Merot, P., Gascuel-Odoux and C.. "Clustering flood events from water quality time series using Latent Dirichlet Allocation model". Water Resources Research, Vol. 49(12) : p. 8187–8199. 2013. ISSN: 1944-7973.URL:
Thomas Guyet, Florence Le Ber and Maguelonne Teisseire. "Intelligence artificielle et agronomie - Introduction". Revue d'Intelligence Artificielle, Vol. 27(4-5) : p. 403-407. 2013. Editeur
Thomas Guyet, Catherine Garbay and Michel Dojat. "Knowledge construction from time series data using a collaborative exploration approach". Journal of Biomedical Informatics, Vol. 40 : p. 672–687. 2007. URL:

International conferences and workshops (with review committee)

Guyet, Thomas, Besnard and Philippe. "Semantics of negative sequential patterns". European Conference on Artificial Intelligence : p. 1–11. Santiago de Compostela, Spain. 2020. URL:
Guyet, Thomas, Besnard and Philippe. "Declarative mining of negative sequential patterns". Procedings of DPSW@ECAI : p. 1–11. Santiago de Compostela, Spain. 2020.
Philippe Besnard, Thomas Guyet and Véronique Masson. "Admissible Generalizations of Examples as Rules". International Conference on Tools with Artificial Intelligence : p. 1488–1493. 2019. URL:
Guyet and Thomas. "Semantic(s) of negative sequential patterns". JIAF 2019 - 13èmes Journées d'Intelligence Artificielle Fondamentale. Toulouse, France. 2019. URL:
Ahmed Samet, Thomas Guyet and Benjamin Negrevergne. "Mining rare sequential patterns with ASP". Proceedings of conference on Inductive Logic Programming : p. to appear. 2017.
A. Samet, T. Guyet, B. Negrevergne, T.-T. Dao and T. Nha Hoang. "Expert Opinion Extraction from a Biomedical Database". Proceedings of ESCQARU, Springer : p. 135–145. 2017.
Thomas Guyet, Yann Dauxais and André Happe. "Declarative sequential pattern mining of care pathways". Proceedings of Conference on AIME : p. 261–266. 2017. (short)
Yann Dauxais, Thomas Guyet, David Gross-Amblard and André Happe. "Discriminant chronicles mining". Proceedings of Conference on AIME : p. 234–244. 2017.
F. Balusson, M.-A. Botrel, O. Dameron, Y. Dauxais, E. Drezen, A. Dupuy, T. Guyet, D. Gross-Amblard, A. Happe, N. Le Meur, B. Le Nautout, E. Leray, E. Nowak, C. Rault, E. Oger and E. Polard. "PEPS: a platform for supporting studies in pharmaco-epidemiology using medico-administrative databases". Proceedings of international Congress on e-Health Research. 2016. (Poster)
Gerbser, Martin, Guyet, Thomas, Quiniou, René, Romero, Javier, Schaub and Torsten. "Knowledge-based Sequence Mining with ASP". Proceedings of IJCAI : p. to appear. 2016. PDFFILE:
Guyet, Thomas, Moinard, Yves, Nicolas, Jacques, Quiniou and René. "Packing graphs with ASP for landscape simulation". Proceedings of IJCAI : p. to appear. 2016. PDFFILE:
Clément Gautrais, Peggy Cellier, Thomas Guyet, René Quiniou and Alexandre Termier. "Understanding Customer Attrition at an Individual Level: a New Model in Grocery Retail Context". Proceedings of the International Conference on Extending Database Technology EDBT : p. 686–687. 2016. (Poster)
Guyet and Thomas. "Landscape features that prevent or foster urban sprawl". IEEE MultiTemp, Proceedings of the MultiTemp Workshop : p. 244-247. 2015. URL:
Bailly, Adeline, Malinowski, Simon, Tavenard, Romain, Guyet, Thomas, Chapel and Laetitia. "Bag-of-Temporal-SIFT-Words for Time Series Classification". ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data. 2015. URL:
Dauxais, Yann, Gross-Amblard, David, Guyet, Thomas, Happe and André. "Chronicles mining in a database of drugs exposures". ECML Doctoral consortium, Proceedings of the ECML Doctoral consortium. 2015. URL:
Guyet and Thomas. "Extracting characteristics of Satellite Image Time Series with Decision Trees". IEEE MultiTemp, Proceedings of the MultiTemp Workshop : p. 260-263. 2015. URL:
Benabderrahmane, Sidahmed, Quiniou, René, Guyet and Thomas. "Evaluating Distance Measures and Times Series Clustering for Temporal Patterns Retrieval". IEEE IRI - 15th IEEE International Conference on Information Retrieval and Reuse, Stuart Rubin and Shu-Ching Chen. San Francisco, United States. 2014. URL:
Simon Malinowski, Thomas Guyet, René Quiniou and Romain Tavenard. "1d-SAX : a Novel Symbolic Representation for Time Series.". Intelligent Data Analysis, LNCS 8207 : p. 273-284. 2013. URL:
A. Aubert, R. Tavenard, S. Malinowski, T. Guyet, R. Quiniou, J.M. Odobez, R. Emonet and C. Gascuel. "Discovering temporal patterns in water quality time series, focusing on floods with the LDA method.". European Geosciences Union (EGU) : p. . 2013.
Thomas Guyet and René Quiniou. "Extracting temporal patterns from interval-based sequences.". Proceedings of IJCAI : p. 1306-1311. 2011. URL:
Wei Wang, Thomas Guyet and Svein Knapskog. "Autonomic Intrusion Detection System". Proceedings of the RAID : p. 2. 2009. PDFFILE: (Poster)
Wei Wang, Florent Masseglia, Thomas Guyet, René Quiniou and Marie-Odile Cordier. "A General Framework for Adaptive and Online Detection of Web attacks (Poster)". Proceedings of the 18th international World Wide Web conference (WWW 2009) : p. 1141–1142. 2009. PDFFILE: (Poster)
Wei Wang, Thomas Guyet, René Quiniou, Marie-Odile Cordier and Florent Masseglia. "Online and adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams". Actes de la conférence Extraction et Gestion des Connaissances, EGC : p. 457–458. 2009. PDFFILE:
Wei Wang, Sylvain Gombault and Thomas Guyet. "Towards fast detecting intrusions: using key attributes of network trafic". Proceedings of the third international conference on internet monitoring and protection (ICIMP) : p. 86–91. 2008. URL: (Best Paper Award)
Thomas Guyet and René Quiniou. "Mining temporal patterns with quantitative intervals". The 4th International Workshop on Mining Complex Data, (IEEE ICDM) Workshop, Zighed, D. and Ras, Z. and Tsumoto, S. : p. 10. 2008. URL:
Thomas Guyet, Catherine Garbay and Michel Dojat. "A Human-Machine Cooperative Approach for Time Series Data Interpretation". Proceedings of the 11th Conference on Artificial Intelligence In Medicine, AIME'07, Springer-Verlag, Berlin, Bellazzi, R. and Abu-Hanna, A. and Hunter, J. : p. 3–12. 2007. URL:
Thomas Guyet. "Annotation: a support for co-interpretation". Proceedings of the 4th International Conference in Enactive Interfaces, Enactive'07, Annie Luciani and Claude Cadoz : p. 113-116. 2007. URL:
Thomas Guyet, Catherine Garbay and Michel Dojat. "Computer/Human Structural Coupling for Data Interpretation". Proceedings of ENACTIVE 2006: Third International Conference on Enactive Interfaces, Enaction and Complexity, Benoit Bardy and Denis Mottet. 2006. URL:
Thomas Guyet, Catherine Garbay and Michel Dojat. "Human/Computer Interaction to Learn Scenarios from ICU Multivariate Time Series". AIME'05, 10th Conference on Artificial Intelligence in Medicine, Silvia Miksch and Jim Hunter and Elpida T. Keravnou : p. 424–428. 2005. URL:
Thomas Guyet, Catherine Garbay and Michel Dojat. "Partenariat Utilisateur-SMA pour l'Apprentissage à Partir de Séries Temporelles, Application au Monitoring en Soins Intensifs". Proceeding of JFSMA: Journée Francophone des Systèmes Multi Agents, Vers la Conception de Système Artificiels Socio-Mimétiques, Hermes Science, Alexis Drogoul and Eric Ramat : p. 15–18. 2005. URL:

National conferences and workshops (with review committee)

Guyet, Thomas, Besnard, Philippe, Samet, Ahmed, Ben Salha, Nasreddine, Lachiche and Nicolas. "Énumération des occurrences d'une chronique". Conférence Extraction et Gestion des Connaissances : p. 1-8. 2020.
Leverger, Colin, Malinowski, Simon, Guyet, Thomas, Lemaire, Vincent, Bondu, Alexis, Termier and Alexandre. "Toward a Framework for Seasonal Time Series Forecasting Using Clustering". IDEAL 2019 : p. 328-340. Manchester, United Kingdom. 2019. URL:
Bakalara, Johanne, Guyet, Thomas, Dameron, Olivier, Oger, Emmanuel, Happe and André. "Temporal models of care sequences for the exploration of medico-administrative data". Workshop IA\&Santé, PFIA. Toulouse, France. 2019. URL:
Guyet and Thomas. "Semantic(s) of negative sequential patterns". JIAF 2019 - 13èmes Journées d'Intelligence Artificielle Fondamentale. Toulouse, France. 2019. URL:
Tsesmeli, Katerina, Boumghar, Manel, Guyet, Thomas, Quiniou, René, Pierre and Laurent. "Fouille de motifs temporels négatifs". EGC 2018 - 18ème Conférence Internationale sur l'Extraction et la Gestion des Connaissances : p. 1-6. 2018. URL:
Dauxais, Yann, Gross-Amblard, David, Guyet, Thomas, Happe and André. "Extraction de chroniques discriminantes". Extraction et Gestion des Connaissances (EGC), RNTI. 2017. URL: (Nominated for best paper award)
Guyet, Thomas, Moinard, Yves, Quiniou, René, Schaub and Torsten. "Fouille de motifs séquentiels avec ASP". Actes de la conférence Extraction et Gestion de Connaissances (EGC), RNTI : p. to appear. 2016. URL: (Nominated for best paper award)
Gashteovski, Kiril, Guyet, Thomas, Quiniou, René, Da Silva, Alzennyr, Masson and Véronique. "Sequential pattern mining for customer relationship management analysis". Atelier GAST@EGC2015. Luxembourg, Luxembourg. 2015. URL:
Thomas Guyet, Simon Malinowski and Cherif Benyounès. "Extraction des zones cohérentes par l'analyse spatio-temporelle d'images de télédétection". Proceedings of International Conference on Spatial Analysis and Geomatic (SAGEO). 2014.
Thomas Guyet, Yves Moinard and René Quiniou. "Using Answer Set Programming for pattern mining.". Journée Intelligence Artificielle Fondamentale (IAF) : p. 10. 2014. PDFFILE:
Thomas Guyet, Sébastien da Silva, Florence Le Ber and Claire Lavigne. "Comparaison des chemins de Hilbert adaptatif et des graphes de voisinage pour la caractérisation d'un parcellaire agricole.". EGC 2014 : p. . 2014. (Poster)
Simon Malinowski, Thomas Guyet, René Quiniou and Romain Tavenard. "1d-SAX : une nouvelle représentation symbolique pour les séries temporelles.". EGC 2014 : p. . 2014.
T. Guyet, H. Nicolas, B. Ghedamsi and É. Athané. "Fouille d'images géoréférencées avec RapidMiner.". SAGEO : p. 12. 2013. URL:
Thomas Guyet. "Visualisation de données relationnelles. Intégration des graphes spatiaux dans QGis.". SAGEO : p. 9. 2013.
Julie Bourbeillon, Laetitia Piel, Ramla El Ayeb, Damien Rousselière and Thomas Guyet. "Construction semi-automatique d'une ontologie de la perception des paysages.". Ingénierie des connaissances : p. . 2013.
Thomas Guyet and René Quiniou. "Incremental mining of frequent sequences from a window sliding over a stream of itemsets.". CIDN : p. 17. 2013. URL:
Thomas Guyet and René Quiniou. "Incremental mining of frequent sequences from a window sliding over a stream of itemsets.". Journée Intelligence Artificielle Fondamentale (IAF) : p. 9. 2012. PDFFILE:
Thomas Guyet and René Quiniou. "Extraction incrémentale de séquences fréquentes dans un flux d'itemsets.". Extraction et Gestion de Connaissances EGC'12, Bruno Pinaud and Guy Melan\c con and Yves Lechevallier : p. . 2012.
Thomas Guyet, Hervé Nicolas and Abdou Diouck. "Segmentation multi-échelle de séries temporelles d'images satellite : Application à l'étude d'une période de sécheresse au Sénégal.". Actes de la conférence RFIA : p. . 2012. URL:
Thomas Guyet and René Quiniou. "Extraction de motifs temporels à partir de séquences d'événements avec intervalles temporels.". Extraction et Gestion de Connaissances EGC'11, P. Poncelet : p. 23–34. 2011.
Thomas Guyet. "Fouille de données spatiales pour la caractérisation spatiale de paysages en lien avec des fonctionnalités agro-écologiques". Spatial Analysis and GEOmatics (SAGEO'10) : p. 3. 2010. (Poster)
Thomas Guyet, René Quiniou and Marie-Odile Cordier. "LogAnalyzer : monitoring adaptatif d'un flux de données". Reconnaissance de Formes et Intelligence Artificielle (RFIA'10) : p. 2. 2010. PDFFILE: (Demo)
Thomas Guyet, Catherine Garbay and Michel Dojat. "Interprétation collaborative de séries temporelles". Actes du Colloque de l'Association pour la Recherche Cognitive (ARCo'09) : p. 10. 2009. PDFFILE:
Marie-Odile Cordier, Thomas Guyet, Christine Largouet, Véronique Masson and Henri-Maxime Suchier. "Apprentissage incrémental de règles de décision à partir de données d'un simulateur". Atelier Systèmes d'Information et de Décision pour l'Environnement : p. 6. 2009. PDFFILE:
Thomas Guyet, Wei Wang, René Quiniou and Marie-Odile Cordier. "Diagnostic multi-sources adaptatif. Application à la détection d'intrusion dans des serveurs Web". Actes de la conférence Extraction et Gestion des Connaissances, EGC : p. 325–336. 2009. PDFFILE: (Candidat to the Best Application Paper Award)
Thomas Guyet, Catherine Garbay and Michel Dojat. "Algorithme d'Apprentissage de Scénarios à partir de Séries Symboliques Temporelles". Atelier Fouille de Données Temporelles, EGC'06 : Extraction et Gestion de Connaissances, René Quiniou and Georges Hébrail. 2006.
Thomas Guyet, Catherine Garbay and Michel Dojat. "Apprentissage de Scénarios à Partir de Séries Temporelles Multivariées". Actes des Cinquièmes Journées Extraction et Gestion des Connaissances EGC'05, Cépaduès-Éditions, Pinson, S. and Vincent, N., Revue des Nouvelles Technologies de l'Information : p. 133. 2005.


Thomas Guyet. "Interprétation collaborative de séries temporelles. Application à des données de réanimation médicale". PhD thesis, INPG. 2007. URL:
Thomas Guyet. "Extraction d'information en anesthésie réanimation. Apprentissage de scénarios dans des séries temporelles". Master thesis, UJF Grenoble. 2004.

Other productions

Thomas Guyet. "QTempIntMiner". APP deposit IDDN.FR.001.030005.000.S.P.2016.000.20700, Affero GPL Licence 2015.
Thomas Guyet and Marie-Odile Cordier (Edt). "Intelligence Artificielle et Agronomie". Dossier spécial du bulletin de l'AFIA (Association Française pour l'Intelligence Artificielle) 2012.
Thomas Guyet. "Aide à l'interprétation de séries temporelles. Approche Enactive de la construction de sens". Enaction et Constructivism Summer School 2006. PDFFILE:
Thomas Guyet, René Quiniou, Wei Wang and Marie-Odile Cordier. Technical report:RR-6989:"Self-adaptive web intrusion detection system". INRIA 2009. URL:


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.
  • 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.

Past projects

  • 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.



I teach computer science to students in Institut Agro -- AGROCAMPUS-OUEST, an engineering school in the domain of agricultural and food industry. More precisely:

  • information and communications technology with LibreOffice (and sometimes with Office Suite),
  • databases,
  • python language for spatial analysis (Master of geo-information).

The ressources of my courses are available online (in French)

To contact me

Unité pédagogique Informatique d'AGROCAMPUS-OUEST
65 rue de Saint-Brieuc
CS 84215
F-35042 Rennes, France

Mail :
Téléphone (AGROCAMPUS) : +33 2 23 48 54 58
Téléphone (IRISA) : +33 2 99 84 75 94
Devs: Inria GitLab
Social networks: ORCID logo, LinkedIn logo, Hangouts: tg.agrocamp


  • I'm member of an AMAP (associations supporting small farming) (
  • I'm also playing tennis in the university team (RUC)