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Thomas Guyet

6
Documents
Identifiants chercheurs

Présentation

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)](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

yann-dauxais
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Declarative Sequential Pattern Mining of Care Pathways

Thomas Guyet , André Happe , Yann Dauxais
Conference on Artificial Intelligence in Medicine in Europe, Jun 2017, Vienna, Austria. pp.1161 - 266, ⟨10.1007/978-3-319-59758-4_29⟩
Communication dans un congrès hal-01569023v1
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Discriminant chronicles mining: Application to care pathways analytics

Yann Dauxais , Thomas Guyet , David Gross-Amblard , André Happe
Artificial Intelligence in Medicine, Jun 2017, Vienna, Austria. ⟨10.1007/978-3-319-59758-4₂6⟩
Communication dans un congrès hal-01568929v1
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Extraction de chroniques discriminantes

Yann Dauxais , David Gross-Amblard , Thomas Guyet , André Happe
Extraction et Gestion des Connaissances (EGC), Jan 2017, Grenoble, France
Communication dans un congrès hal-01413473v1

PEPS: a platform for supporting studies in pharmaco-epidemiology using medico-administrative databases

Frédéric Balusson , Marie-Anne Botrel , Olivier Dameron , Yann Dauxais , Erwan Drezen
International Congress on e-Health Research, Oct 2016, Paris, France
Communication dans un congrès hal-01380939v1

Chronicles mining in a database of drugs exposures

Yann Dauxais , David Gross-Amblard , Thomas Guyet , André Happe
ECML Doctoral consortium, Sep 2015, Porto, Portugal
Communication dans un congrès hal-01184100v1
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Discriminant chronicle mining

Yann Dauxais , David Gross-Amblard , Thomas Guyet , André Happe
B. Pinaud; F. Guillet; F. Gandon and C. Largeron. Advances in Knowledge Discovery and Management (vol 8), Springer, Cham, pp.89-118, 2019, Advances in Knowledge Discovery and Management, 978-3-030-18128-4. ⟨10.1007/978-3-030-18129-1_5⟩
Chapitre d'ouvrage hal-01940146v1