Book Chapter:

  1. J. Mladenovic, J. Mattout, and F. Lotte (2017) Brain-Computer Interfaces Handbook: Technological and Theoretical Advances, A generic framework for adaptive EEG-based BCI training and operation

    Conference Papers:

  1. J. Mladenovic, J. Frey, M. Bonet-Save, J. Mattout and F. Lotte (2017) The Impact of Flow in an EEG-based Brain Computer Interface, Graz BCI Conference
  2. J. Mladenovic, M. Joffily, J. Frey, F. Lotte, J. Mattout (2017) Endowing The Machine With Active Inference: A generic Framework to Implement Adaptive BCI, NaT Conference

    Posters,Workshops and Invited Talks:

  1. J. Frey, C. Jeunet, J. Mladenovic, L. Pillette, F. Lotte (2017) “When HCI Meets Neurotechnologies: What You Should Know about Brain-Computer Interfaces“, Course at ACM CHI
  2. J. Mladenovic (2017) Invited talk at the Second NeuroFeedback Day in Paris — NExT Neurofeedback and Flow in BCI training
  3. J. Mladenovic (2017) Poster at JJC-ICON in Bordeaux Exploring adaptive BCI methods to favour user learning and flow state

    Journal paper:

  1. Anis Mjirda, Bassem Jarboui, Jelena Mladenović, Christophe Wilbaut, and Saïd Hanafi “A General Variable Neighbourhood Search for the Multy-Product Inventory Routing Problem”, IMAMAN-2013-0397, published 2014, in IMA Journal of Management Mathematics;

    In the Pipeline:

  1. Book chapters:
    • F. Lotte, C. Jeunet, J. Mladenovic, B. N’Kaoua, L. Pillette (2018) IET Book ‘Signal Processing and Machine Learning for Brain-Machine Interfaces’, Chapter 6: A BCI challenge for the signal processing community: considering the human in the loop”