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Dive into the research topics where Flavio Vinicio Changoluisa Panchi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Artificial Intelligence in the Characterization of the Performance of Working Memory and Emotions
16/04/21 → …
Project: Research and Development
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Machine Learning for Prediction of Working Memory Performance
Changoluisa Panchi, F. V., De Borja Rodriguez, F. & Varona Martinez, P.
11/06/20 → 11/06/20
Project: Research and Development
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Analysis of Adaptability in Brain Computer Interfaces
28/02/18 → 28/02/18
Project: Research and Development
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Bci Braincomputer Interface System Under Cognitive Evoked Potentials Implemented in a Smartphone
1/01/14 → 1/01/14
Project: Research and Development
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A Fine Dry-Electrode Selection to Characterize Event-Related Potentials in the Context of BCI
Changoluisa, V., Varona, P. & Rodriguez, F. B., 2021, Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Proceedings. Rojas, I., Joya, G. & Catala, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 230-241 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12861 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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P300 Characterization Through Granger Causal Connectivity in the Context of Brain-Computer Interface Technologies
Salazar, V., Changoluisa, V. & Rodriguez, F. B., 2021, Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Proceedings. Rojas, I., Joya, G. & Catala, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 253-264 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12861 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Precise Temporal P300 Detection in Brain Computer Interface EEG Signals Using a Long-Short Term Memory
Oliva, C., Changoluisa, V., Rodríguez, F. B. & Lago-Fernández, L. F., 2021, Artificial Neural Networks and Machine Learning – ICANN 2021 - 30th International Conference on Artificial Neural Networks, Proceedings. Farkaš, I., Masulli, P., Otte, S. & Wermter, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 457-468 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12894 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Low-Cost Computational Method for Characterizing Event-Related Potentials for BCI Applications and beyond
Changoluisa, V., Varona, P. & De Borja Rodriguez, F., 2020, In: IEEE Access. 8, p. 111089-111101 13 p., 9109285.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
An electrode selection approach in P300-based BCIs to address inter- A nd intra-subject variability
Changoluisa, V., Varona, P. & Rodriguez, F. B., 9 Mar 2018, 2018 6th International Conference on Brain-Computer Interface, BCI 2018. Institute of Electrical and Electronics Engineers Inc., p. 1-4 4 p. (2018 6th International Conference on Brain-Computer Interface, BCI 2018; vol. 2018-January).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
5 Scopus citations