Undergraduate speech processing awareness. - Marc Ressl; Jorge Prendes; Roxana Saint-Nom (ICASSP, 2012)

A multivariate statistical model for multiple images acquired by homogeneous or heterogeneous sensors. - Jorge Prendes; Marie Chabert; Frédéric Pascal 001; Alain Giros; Jean-Yves Tourneret (ICASSP, 2014)

Change detection for optical and radar images using a Bayesian nonparametric model coupled with a Markov random field. - Jorge Prendes; Marie Chabert; Frédéric Pascal 001; Alain Giros; Jean-Yves Tourneret (ICASSP, 2015)

A New Multivariate Statistical Model for Change Detection in Images Acquired by Homogeneous and Heterogeneous Sensors. - Jorge Prendes; Marie Chabert; Frédéric Pascal 001; Alain Giros; Jean-Yves Tourneret (IEEE Trans. Image Process., 2015)

Multivariate Bayesian classification of epilepsy EEG signals. - Antonio Quintero-Rincón; Jorge Prendes; Marcelo Pereyra; Hadj Batatia; Marcelo R. Risk (IVMSP, 2016)

A Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images. - Jorge Prendes; Marie Chabert; Frédéric Pascal 001; Alain Giros; Jean-Yves Tourneret (SIAM J. Imaging Sci., 2016)

A novel spike-and-wave automatic detection in EEG signals. - Antonio Quintero-Rincón; Valeria Muro; Carlos D'Giano; Jorge Prendes; Hadj Batatia (CoRR, 2019)

Statistical Model-Based Classification to Detect Patient-Specific Spike-and-Wave in EEG Signals. - Antonio Quintero-Rincón; Valeria Muro; Carlos D'Giano; Jorge Prendes; Hadj Batatia (Comput., 2020)

Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the K-nearest neighbors classifier. - Antonio Quintero-Rincón; Jorge Prendes; Valeria Muro; Carlos D'Giano (CoRR, 2024)