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Thomas Guyet
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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.
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IA et données de santé : regards croisés sur les droits, devoirs et responsabilités des personnes publiquesEnjeux scientifiques et sociaux de l’IA, MITI/CNRS, Jan 2023, Paris, France
Communication dans un congrès
hal-03935333v1
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An extension of chronicles temporal model with taxonomiesBDA 2020 - 36ème Conférence sur la Gestion des Données - Principes, Technologies et Applications, Oct 2020, Virtual, France. pp.1-10
Communication dans un congrès
hal-03176657v1
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PEPS: a platform for supporting studies in pharmaco-epidemiology using medico-administrative databasesInternational Congress on e-Health Research, Oct 2016, Paris, France
Communication dans un congrès
hal-01380939v1
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