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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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Collaborations and top research areas from the last five years
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Estudio de las Características de la Actividad Cerebral que Permiten la Predicción del Desempeño de Working Memory Aplicado a la Toma de Decisiones Fase 3
Changoluisa Panchi, F. V. (PI), Rodriguez, F. D. B. (Col) & Ñacato Pizarro, E. M. (Col)
10/06/24 → …
Project: Research and Development
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Estudio de las Características de la Actividad Cerebral que Permiten la Predicción del Desempeño de Working Memory y su Implantación en Redes de Sensores Corporales Fase 2
Changoluisa Panchi, F. V. (PI), Tipan Simbaña, M. N. (Col), Rodriguez, F. D. B. (Col), Muñoz Sañay, L. F. (Student), Comina Velasque, M. A. (Student), Villacis Changoluisa, J. A. (Student) & Tupiza Taco, M. K. (Student)
1/06/23 → 18/12/23
Project: Research and Development
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Estudio de las Características de la Actividad Cerebral que Permiten la Predicción del Desempeño de Working Memory y su Implantación en Redes de Sensores Corporales
Changoluisa Panchi, F. V. (PI)
31/03/22 → 31/12/22
Project: Research and Development
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Inteligencia Artificial en la Caracterización del Desempeño de Working Memory y las Emociones
Changoluisa Panchi, F. V. (PI)
16/04/21 → 18/01/22
Project: Research and Development
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Aprendizaje Automática para la Predicción del Desempeño de la Memoria de Trabajo
Changoluisa Panchi, F. V. (PI), De Borja Rodriguez, F. (CoI) & Varona Martinez, P. (CoI)
11/06/20 → 30/12/20
Project: Research and Development
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Detecting P300-ERPs Building a Post-validation Neural Ensemble with Informative Neurons from a Recurrent Neural Network
Oliva, C., Changoluisa, V., Rodríguez, F. B. & Lago-Fernández, L. F., 2023, Artificial Intelligence Applications and Innovations - 19th IFIP WG 12.5 International Conference, AIAI 2023, Proceedings. Maglogiannis, I., Iliadis, L., MacIntyre, J. & Dominguez, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 90-101 12 p. (IFIP Advances in Information and Communication Technology; vol. 675 IFIP).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Enhancing P300 Detection in Brain-Computer Interfaces with Interpretable Post-processing of Recurrent Neural Networks
Oliva, C., Changoluisa, V., Rodríguez, F. B. & Lago-Fernández, L. F., 2023, Artificial Neural Networks and Machine Learning – ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Proceedings. Iliadis, L., Papaleonidas, A., Angelov, P. & Jayne, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 25-36 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14259 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Performance Analysis of Emotion Recognition Prediction on Mobile Devices
Pillajo Pilaguano, J. F., Tello Arévalo, P. E. & Panchi, F. V. C., 2023, Smart Technologies, Systems and Applications - 3rd International Conference, SmartTech-IC 2022, Revised Selected Papers. Narváez, F. R., Urgilés, F., Salgado-Guerrero, J. P. & Bastos-Filho, T. F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 77-90 14 p. (Communications in Computer and Information Science; vol. 1705 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Predicting Working Memory Performance Based on Specific Individual Eeg Spatiotemporal Features
Changoluisa Panchi, F. V., Poch, C., Campo, P. & Rodríguez, F. B., 8 May 2022, In: bioRxiv. 1, 1, p. 1-26 26 p.Research output: Contribution to journal › Article
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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