PPG-neurociencia-e-cognicao

Trabalhos completos publicados em anais de congressos


Número total de itens: 21

2024

1.   Claessens, P. M. E.; Felipe Diego Toro-Hernández ; Victor Nogueira Dias Gabiatti ; Theresa Moraes Ramalho ; CRAVO, A. M. ; CLAESSENS, P. M. E.. Assessing affective modulation of intentional binding effect: A 2AFC Psychophysics experiment with emotional words. Em: Annual Meeting of the Cognitive Science Society, v. 46, p. 1968-1975, 2024.

2023

1.   ARISTIMUNHA, B. ; CAMARGO, RY de ; CHEVALLIER, S. ; LUCENA, O. ; THOMAS, A. G. ; CARDOSO, M. J. ; DAFFLON, J.. Synthetic Sleep EEG Signal Generation using Latent Diffusion Models. Em: NeurIPS 2023 - Deep Generative Models for Health Workshop, p. 1-12, 2023.
2.   BONINI, R. C. ; MARTINS-JR, DAVID CORREA. Gene Networks Inference by Reinforcement Learning. Em: Brazilian Symposium on Bioinformatics (BSB): Advances in Bioinformatics and Computational Biology., v. 13954, p. 135-147, 2023.
3.   MORAES, CAROLINE P. A. ; ARISTIMUNHA, BRUNO ; DOS SANTOS, LUCAS HECK ; PINAYA, WALTER HUGO LOPEZ ; DE CAMARGO, RAPHAEL YOKOINGAWA ; FANTINATO, DENIS G. ; NEVES, ALINE. Applying Independent Vector Analysis on EEG-Based Motor Imagery Classification. Em: ICASSP 2023 2023 IEEE International Conference on Acoustics, p. 1, 2023.
4.   MORAIS, MAYURÍ A. ; de Camargo, Raphael Y.. Real-time Incident Detection in Public Bus Systems Using Machine Learning. Em: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), p. 2044, 2023.

2022

1.   ALEIXO, ROBSON ; Kon, Fabio ; ROCHA, RUDI ; CAMARGO, MARCELA SANTOS ; de Camargo, Raphael Y.. Predicting Dengue Outbreaks with Explainable Machine Learning. Em: 2022 22nd International Symposium on Cluster, p. 940, 2022.
2.   COSTA, HERBERT DA SILVA ; CARDOSO, ANDERSON CORDEIRO ; NETTO, CRISTIANE MENDES ; MARTINS-JR, DAVID CORREA ; SIMÕES, Sérgio Nery. A Framework for prediction of dropout in distance learning through XAI techniques in Virtual Learning Environment. Em: Encontro Nacional de Inteligência Artificial e Computacional, p. 270, 2022.
3.   FONSECA, A. B. ; MARTINS-JR, DAVID CORREA ; WICIK, ZOFIA ; POSTULA, MAREK ; SIMÕES, Sérgio Nery. Addressing Classification on Highly Imbalanced Clinical Datasets. Em: 11th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), v. 13254, p. 103-114, 2022.
4.   SHIDA, THIAGO KENZO FUJIOKA ; CAMPOS, DÉBORA DA SILVA FRAGOSO ; de Oliveira, Claudia Eunice Neves ; Treza, Renata de Castro ; Hondo, Sandy Mikie ; LOS ANGELES, EMANUELE ; BERNARDO, CLAUDIONOR ; OLIVEIRA, LUANA DOS SANTOS ; Carvalho, Margarete de Jesus ; COELHO, Daniel Boari. Efeito do congelamento da marcha e da medicação antiparkinsoniana na marcha de indivíduos com doença de Parkinson. Em: XXVIII Congresso Brasileiro de Engenharia de Engenharia Biomédica, 2022.
5.   TOVAR, CARLOS R. P. ; Martins, David C. ; Rozante, Luiz C. S. ; Araujo, Eloi. A Method for Computing Attractor Fields in Coupled Boolean Networks. Em: 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE), p. 315, 2022.

2021

1.   AMARIS, MARCOS ; MORAIS, MAYURI A. ; de Camargo, Raphael Y.. Efficient Prediction of Region-wide Traffic States in Public Bus Networks using LSTMs. Em: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), p. 2215-6, 2021.
2.   de O. Siqueira, Rodrigo A. ; STEFANES, M. A. ; L. C. S. Rozante ; MARTINS-JR, DAVID CORREA ; de Souza, Jorge E. S. ; ARAUJO, E.. Multi-GPU Approach for Large-Scale Multiple Sequence Alignment. Em: International Conference on Computational Science and Its Applications (ICCSA), v. 12949, p. 560-575, 2021.
3.   DE SOUZA, PAULO HENRIQUE ; MIURA LUNARDI, BRENDA ; GARCIA RAMIREZ, ALEJANDRO RAFAEL ; LUKASOVA, KATERINA ; CARTHERY-GOULART, MARIA TERESA ; ISABEL DAAVILA FREITAS, MARIA. Eye Tracking Application in the Evaluation of Aphasic Portuguese Speakers. Em: 2021 16th Iberian Conference on Information Systems and Technologies (CISTI), v. 1, p. 1-4, 2021.
4.   Miao, Runfeng ; Shokur, Solaiman ; DE LIMA-PARDINI, ANDREA C. ; COELHO, DANIEL BOARI ; Bouri, Mohamed. Detecting Freezing of Gait in Parkinson's Disease Patient via Deep Residual Network. Em: 20th IEEE International Conference on Machine Learning and Applications (ICMLA), p. 320-325, 2021.
5.   SANTOS, ELIANA M. ; SAN-MARTIN, RODRIGO ; FRAGA, FRANCISCO J.. Comparison of LORETA and CSP for Brain-Computer Interface Applications. Em: 2021 18th International MultiConference on Systems, v. 1, p. 817-822, 2021.
6.   SANTOS, ÁQUILA PORFIRIO A. ; YASUI, ANDRÉ KAZUO ; CRAVO, ANDRÉ MASCIOLI ; BRANDÃO, ANDRÉ LUIZ ; GOIS, JOÃO PAULO. Timing Game - Jogo sério para o estudo da percepção do tempo com Design Participativo: Protótipo e Game Design. Em: Simpósio Brasileiro de Jogos e Entretenimento Digital, p. 922, 2021.
7.   TRAMBAIOLLI, LUCAS R. ; BIAZOLI, CLAUDINEI E. ; Cravo, Andre M. ; SATO, JOEO R.. Feedback congruence affects real and perceived performance of an affective neurofeedback task. Em: 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER), p. 331, 2021.

2020

1.   Rinaldin, Carla ; OLIVEIRA, J. A. ; RIBEIRO DE SOUZA, CAROLINE ; SCHEEREN, EDUARDO MENDONÇA ; MANFFRA, E. F. ; COELHO, Daniel Boari ; Teixeira, Luis Augusto. Adaptation of automatic postural responses in the dominant lower limb and non-dominant. Em: XXVII Brazilian Congress in Biomedical Engineering, 2020.
2.   SHIDA, THIAGO KENZO FUJIOKA ; CAMPOS, DEBORA S. F. ; AURICCHIO, J. R. ; COELHO, Daniel Boari. Estudo da viabilidade da análise biomecânica da marcha de amputados transfemorais. Em: XXVII Brazilian Congress in Biomedical Engineering, 2020.
3.   TRAMBAIOLLI, LUCAS R. ; DEAN, PHILIP J. A. ; Cravo, Andre M. ; STERR, ANNETTE ; SATO, JOAO R.. Current brain activity is a predictor of longitudinal motor imagery performance. Em: 2020 IEEE International Conference on Systems, p. 2477, 2020.
4.   ZAMPIROLLI, FRANCISCO DE ASSIS ; PISANI, PAULO HENRIQUE ; JOSKO, JOÃO MARCELO ; KOBAYASHI, GUIOU ; FRAGA, FRANCISCO ; GOYA, DENISE ; SAVEGNAGO, HEITOR RODRIGUES. Parameterized and automated assessment on an introductory programming course. Em: Simpósio Brasileiro de Informática na Educaçã, v. 1, p. 1573-1582, 2020.


Data de processamento: 16/11/2024 16:27:01