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Aix-Marseille University

Institut de Mathématiques de Marseille (UMR 7373)


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Journal articles1 document

  • J Spinnato, M-C Roubaud, Boris Burle, Bruno Torrésani. Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification. Journal of Neural Engineering, IOP Publishing, 2015, 12 (3), pp.036013. ⟨10.1088/1741-2560/12/3/036013⟩. ⟨hal-01161911⟩

Conference papers4 documents

  • Sebastiano Barbieri, Bruno Torrésani. Optimal time-frequency bases for EEG signal classification in BCI context. GRETSI 2013, Sep 2013, Brest, France. ⟨hal-00836495⟩
  • Sebastiano Barbieri, Bruno Torrésani. Basis Selection for Increased Interclass Separability of EEG Signals. 2013 BCI Meeting, Jun 2013, Asilomar, United States. pp.145, ⟨10.3217/978-3-85125-260-6-145⟩. ⟨hal-01278619⟩
  • Juliette Spinnato, Marie-Christine Roubaud, Bruno Torrésani, Laurence Casini, Boris Burle. Une approche modèle mixte pour la classification supervisée de signaux électrophysiologiques. 44èmes journées de statistique, SFDS, May 2012, Bruxelles, Belgique. ⟨hal-01291969⟩
  • Bruno Torrésani, Emilie Villaron. Harmonic Hidden Markov Models for the Study of EEG Signals. EUSIPCO 2010, Aug 2010, Aalborg, Denmark. ⟨hal-00492800⟩

Preprints, Working Papers, ...1 document

  • Emilie Villaron, Bruno Torrésani. Detection and analysis of oscillatory patterns in multisensor data by time-frequency hidden Markov models: an application to EEG. 2012. ⟨hal-01737437⟩