| Transfer learning in imagined speech EEG-based BCIs JS García-Salinas, L Villaseñor-Pineda, CA Reyes-García, ... Biomedical Signal Processing and Control 50, 151-157, 2019 | 65 | 2019 |
| Tensor decomposition for imagined speech discrimination in EEG JS García-Salinas, L Villaseñor-Pineda, CA Reyes-García, ... Advances in Computational Intelligence: 17th Mexican International …, 2018 | 13 | 2018 |
| Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition JS García-Salinas, AA Torres-García, CA Reyes-Garćia, ... Biomedical Signal Processing and Control 81, 104433, 2023 | 6 | 2023 |
| Neural networks and deep learning AP López-Monroy, JS García-Salinas Biosignal Processing and Classification Using Computational Learning and …, 2022 | 6 | 2022 |
| Selección de parámetros en el enfoque de bolsa de caracterısticas para clasificación de habla imaginada en electroencefalogramas JS Garcıa-Salinas, L Villasenor-Pineda, CA Reyes-Garcıa, ... Research in Computing Science 140 (140), 123-133, 2017 | 3 | 2017 |
| Physics augmented classification of fNIRS signals F Orihuela-Espina, M Rojas-Cisneros, SA Montero-Hernández, ... Biosignal Processing and Classification Using Computational Learning and …, 2022 | 1 | 2022 |
| Pursuing the Deep-Learning-Based Classification of Exposed and Imagined Colors from EEG AA Torres-García, JS García-Salinas, L Villaseñor-Pineda Mexican International Conference on Artificial Intelligence, 150-160, 2022 | | 2022 |
Luis Villaseñor PinedaComputer Science, INAOEBestätigte E-Mail-Adresse bei inaoep.mx
