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Thomas Guyet
8
Documents
Identifiants chercheurs
- thomas-guyet
- 0000-0002-4909-5843
- Google Scholar : https://scholar.google.com/citations?user=cuNKrFoAAAAJ
- IdRef : 171949307
Présentation
Research interests
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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)](https://www.cs.utexas.edu/users/vl/papers/wiasp.pdf)** with [clingo](https://potassco.org), 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.
Publications
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Declarative mining of negative sequential patterns1st Declarative Problem Solving Workshop (DPSW 2020) @ ECAI 2020, Pedro Cabalar (CITIC-Univ. A Coruña, Spain); Andreas Herzig (Tolouse Univ, France); David Pearce (Univ. Politécnica Madrid, Spain); Torsten Schaub (Univ. Potsdam, Germany); Stefan Woltran (Vienna Univ. Tech. Austria), Aug 2020, Santiago de Compostela, Spain. pp.1-8
Communication dans un congrès
hal-03025560v1
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Semantics of negative sequential patterns24 th European Conference on Artificial Intelligence (ECAI 2020), European Association for Artificial Intelligence (EurAI); Spanish AI Society (AEPIA); University of Santiago de Compostela (CiTIUS), Aug 2020, Santiago de Compostela, Spain. pp.1-7
Communication dans un congrès
hal-02481240v2
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Énumération des occurrences d'une chroniqueExtraction et Gestion des Connaissances, EGC 2020, Brussels, Belgium, January 27-31, 2020, Jan 2020, Bruxelles, Belgium. pp.253-260
Communication dans un congrès
hal-03698361v1
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Énumération des occurrences d'une chroniqueEGC 2020 - 20ème édition de la Conférence Extraction et Gestion des Connaissances, Jan 2020, Bruxelles, Belgique. pp.1-8
Communication dans un congrès
hal-02422796v1
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Admissible generalizations of examples as rules (2019)31st International Conference on Tools with Artificial Intelligence (ICTAI 2019), IEEE, Nov 2019, Portland, OR, United States. ⟨10.1109/ICTAI.2019.00211⟩
Communication dans un congrès
hal-02267166v1
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Admissible generalizations of examples as rules (2018)One-day Workshop on Machine Learning and Explainability, Christel Vrain, Université d' Orléans, Oct 2018, Orléans, France
Communication dans un congrès
hal-01940129v1
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Admissible generalizations of examples as rules (JIAF 2017)11èmes Journées d'Intelligence Artificielle Fondamentale (JIAF 2017), Jul 2017, Caen, France
Communication dans un congrès
hal-01576047v1
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Chronicles: Formalization of a Temporal ModelSpringer International Publishing, pp.121, 2023, SpringerBriefs in Computer Science (BRIEFSCOMPUTER), 978-3-031-33692-8. ⟨10.1007/978-3-031-33693-5⟩
Ouvrages
hal-04173959v1
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