Number of documents

6

Applied researcher


Complete CV: https://alexisbrenon.github.io/resume.html

My name is Alexis BRENON. I am 26 years old and I recently defended my thesis about deep model for adaptive decision-making in smart-home. I am seeking for a position as an applied researcher to develop new technologies based on machine learning and bring them to the mainstream market.

Skills

Hard skills

  • Assembly
  • Bash
  • C/C++
  • Docker
  • Git
  • HTML/CSS/JS
  • Java
  • Latex
  • Lua
  • Python

Soft skills

  • Collaborative
  • Inventive
  • Persevering
  • Rigorous

 


Journal articles1 document

Conference papers4 documents

  • Alexis Brenon, François Portet, Michel Vacher. Context Feature Learning through Deep Learning for Adaptive Context-Aware Decision Making in the Home. The 14th International Conference on Intelligent Environments, Jun 2018, Rome, Italy. ⟨10.1109/IE.2018.00013⟩. ⟨hal-01802747⟩
  • Alexis Brenon, François Portet, Michel Vacher. Étude préliminaire d'une méthode de prise de décision adaptative pour la commande vocale dans un habitat intelligent. RFIA-RJCIA, Jun 2016, Clermont Ferrand, France. pp.2-8. ⟨hal-01326986⟩
  • Alexis Brenon, François Portet, Michel Vacher. Preliminary Study of Adaptive Decision-Making System for Vocal Command in Smart Home. 12th International Conference on Intelligent Environments, Sep 2016, London, United Kingdom. pp.218-221. ⟨hal-01345333⟩
  • Alexis Brenon, François Portet, Michel Vacher. Using Statistico-Relational Model for Activity Recognition in Smart Home. European Conference on Ambient Intelligence 2015 (AmI-15), Nov 2015, Athènes, Greece. ⟨hal-01222792⟩

Theses1 document

  • Alexis Brenon. Modèle profond pour le contrôle vocal adaptatif d'un habitat intelligent. Intelligence artificielle [cs.AI]. Université Grenoble Alpes, 2017. Français. ⟨NNT : 2017GREAM057⟩. ⟨tel-01818123⟩