Machine Learning and Applications

The "ML axis" of LRE applies Machine/Deep Learning techniques in the following domains:

  • Biomedical Imaging (Nicolas Boutry)
  • Computer Vision (Nicolas Boutry, Thibault Lejemble, Olivier Ricou, Guillaume Tochon)
  • Cybersecurity (Nicolas Boutry)
  • Formal Concept Analysis (Nidà Meddouri)
  • Speech Processing (Réda Dehak)

Some of us work in Data Science:

  • Data Mining (Idir Benouaret, Lamine Diop, Marc Plantevit)

and in the Artificial Intelligence field:

  • Classification Methods (Nidà Meddouri)
  • Feature Selection Methods (Nidà Meddouri)
  • Graphs Neural Networks (Nicolas Boutry, Marc Plantevit)
  • Recommendation Systems (Idir Benouaret, Marc Plantevit),
  • SAT Solving and Constraint-based Programming (Loïc Rouquette)
  • xAI (Nicolas Boutry, Marc Plantevit)

Others develop new tools or methodologies relative to Machine/Deep Learning:

  • Morphological Layers for Neural Networks (Guillaume Tochon)
  • xAI Methodologies (Nicolas Boutry)

Leader

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Idir Benouaret

Associate Professor

Data Mining Data exploration Recommendation systems

Members

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Marc Plantevit

Professor

Data Mining Graphs Neural Networks Recommendation Systems xAI
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Fabrice Boissier

Associate Professor

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Nicolas Boutry

Associate Professor

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Thibault Lejemble

Associate Professor

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Nidà Meddouri

Associate Professor

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Olivier Ricou

Associate Professor

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Loïc Rouquette

Associate Professor

Algorithmic Boomerang Attacks Constraint Programming Differential Cryptanalysis
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Guillaume Tochon

Associate Professor