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Jaime F Delgado Saa
Jaime F Delgado Saa
Postdoctoral Researcher
Adresă de e-mail confirmată pe unige.ch - Pagina de pornire
Titlu
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Citat de
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A Latent Discriminative Model-Based Approach for Classification of Imaginary Motor Task from EEG Data
JFD Saa, M Cetin
Journal of Neural Engineering, 2012
652012
EEG signal classification using power spectral features and linear discriminant analysis: a brain computer interface application
JFD Saa, MS Gutierrez
Eighth Latin American and Caribbean Conference for Engineering and …, 2010
612010
Discriminative Methods for Classification of Asynchronous Imaginary Motor Tasks from EEG Data
JF Delgado Saa, M Cetin
IEEE Transactions on Neural Systems and Rehabilitation Engineering 21 (6 …, 2013
512013
Imagined speech can be decoded from low-and cross-frequency intracranial EEG features
T Proix, J Delgado Saa, A Christen, S Martin, BN Pasley, RT Knight, ...
Nature communications 13 (1), 48, 2022
482022
Hidden conditional random fields for classification of imaginary motor tasks from EEG data
JFD Saa, M Cetin
2011 19th European Signal Processing Conference, 171-175, 2011
282011
Asynchronous decoding of finger movements from ECoG signals using long-range dependencies conditional random fields
MC Jaime F. Delgado Saa, Adriana De Pesters
Journal of Neural Engineering 13 (3), 2016
252016
Word-level language modeling for P300 spellers based on discriminative graphical models
MC Jaime F Delgado Saa, Adriana de Pesters, Dennis McFarland
Journal of Neural Engineering 12 (2), 2015
142015
Looking around with your brain in a virtual world
DPO Bos, M Duvinage, O Oktay, JD Saa, H Guruler, A Istanbullu, ...
2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms …, 2011
102011
Modeling differences in the time-frequency presentation of EEG signals through HMMs for classification of imaginary motor tasks
JFD Saa, M Cetin
Sabanci University, 2011
72011
Probabilistic graphical models for brain computer interfaces
JF Delgado Saa
52014
Imagined speech can be decoded from low-and cross-frequency features in perceptual space
T Proix, JD Saa, A Christen, S Martin, BN Pasley, RT Knight, X Tian, ...
bioRxiv, 2021.01. 26.428315, 2021
42021
Using Coherence-based spectro-spatial filters for stimulus features prediction from electro-corticographic recordings
J Delgado Saa, A Christen, S Martin, BN Pasley, RT Knight, AL Giraud
Scientific reports 10 (1), 7637, 2020
42020
Audio-visual combination of syllables involves time-sensitive dynamics following from fusion failure
S Bouton, J Delgado-Saa, I Olasagasti, AL Giraud
Scientific Reports 10 (1), 18009, 2020
32020
Classification of Imaginary Motor Task from Electroencephalographic Signals: A Comparison of Feature Selection Methods and Classification Algorithms
JFDS Haroldo Velez, Dayan Mendez
Revista Mexicana de Ingineria Biomedica, 2018
3*2018
Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces
JF Delgado Saa, M Cetin
https://arxiv.org/abs/1612.08642v1, 2016
3*2016
A fast and efficient method for detection of seizure in electroencephalogram using log-energy entropy and support vector machine
L Pavone, JFD Saa, S Moyanova
2020 International Conference on Computational Science and Computational …, 2020
22020
A Bootstrapping Method for Improving the Classification Performance of the P300 Speller
JH Cristancho-Cuervo, JF Delgado-Saa
Revista mexicana de ingeniería biomédica 41 (1), 43-56, 2020
22020
Diseño y Construcción de un Electroencefalógrafo de 32 Canales
JFD Saa, JRE Gutiérrez, JDM Rocha
Partnering to Success Eng. Educ. Res. Dev, 8, 2008
22008
Diseño y Construcción de un Sistema de adquisición y Visualización de Señales Electromiográficas
JFD Saa, E Vallejo, J Torres
Fifth LACCEI International Latin American and Caribbean Conference for …, 2007
22007
Electrocorticographic signals classification for brain computer interfaces using stacked-autoencoders
S Cancino, JD Saa
Applications of Machine Learning 2020 11511, 74-82, 2020
12020
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