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2020 – today
- 2024
[c12]Kauê O. Frassão, Sandro M. S. Filho, Renata Valle Pedroso, Carla Manuela Crispim Nascimento, Henrique Pott, Marcia Regina Cominetti, Francisco J. Fraga:
Event-Related Potentials and Event-Related Spectral Perturbation for Classification of Apolipoprotein E ϵ4 Allele Carriers in Alzheimer Disease Patients and Healthy Controls. EMBC 2024: 1-6- 2023
- [j11]Eliana M. dos Santos
, Rodrigo San-Martin, Francisco J. Fraga:
Comparison of subject-independent and subject-specific EEG-based BCI using LDA and SVM classifiers. Medical Biol. Eng. Comput. 61(3): 835-845 (2023) - 2021
- [j10]Rodrigo San-Martin, Erin Johns, Godofredo Quispe Mamani, Guilherme Tavares, Natalie A. Phillips, Francisco J. Fraga:
A method for diagnosis support of mild cognitive impairment through EEG rhythms source location during working memory tasks. Biomed. Signal Process. Control. 66: 102499 (2021) - [j9]Francisco de Assis Zampirolli, João Marcelo Borovina Josko, Mirtha L. F. Venero, Guiou Kobayashi, Francisco J. Fraga, Denise H. Goya, Heitor R. Savegnago:
An experience of automated assessment in a large-scale introduction programming course. Comput. Appl. Eng. Educ. 29(5): 1284-1299 (2021) - [j8]Lucinda A. Leria, Priscila Benitez, Francisco J. Fraga:
Assistive technology in large-scale assessments for students with visual impairments: A systematic review and recommendations based on the Brazilian reality. Educ. Inf. Technol. 26(3): 3543-3573 (2021) - [c11]Eliana M. Santos, Rodrigo San-Martin, Francisco J. Fraga:
Comparison of LORETA and CSP for Brain-Computer Interface Applications. SSD 2021: 817-822 - 2020
- [j7]Eliana M. Santos, Raymundo Cassani, Tiago H. Falk, Francisco J. Fraga:
Improved motor imagery brain-computer interface performance via adaptive modulation filtering and two-stage classification. Biomed. Signal Process. Control. 57 (2020)
2010 – 2019
- 2019
- [c10]Paulo V. Ascenção, Eliana M. Santos, Luciano H. Lacerda, Francisco J. Fraga:
Evaluation of Performance Metrics for Users of Brain Computer Interfaces during Motor Imagery. SMC 2019: 217-222 - [c9]Guilherme Tavares, Rodrigo San-Martin, Jéssica N. Ianof, Renato Anghinah, Francisco J. Fraga:
Improvement in the automatic classification of Alzheimer's disease using EEG after feature selection. SMC 2019: 1264-1269 - 2018
- [j6]Francisco J. Fraga, Godofredo Quispe Mamani, Erin Johns, Guilherme Tavares, Tiago H. Falk, Natalie A. Phillips:
Early diagnosis of mild cognitive impairment and Alzheimer's with event-related potentials and event-related desynchronization in N-back working memory tasks. Comput. Methods Programs Biomed. 164: 1-13 (2018) - 2017
- [j5]Raymundo Cassani, Tiago H. Falk, Francisco J. Fraga, Marco Cecchi, Dennis K. Moore, Renato Anghinah:
Towards automated electroencephalography-based Alzheimer's disease diagnosis using portable low-density devices. Biomed. Signal Process. Control. 33: 261-271 (2017) - [j4]Paulo A. M. Kanda, Eliezyer F. Oliveira, Francisco J. Fraga:
EEG epochs with less alpha rhythm improve discrimination of mild Alzheimer's. Comput. Methods Programs Biomed. 138: 13-22 (2017) - [c8]Francisco J. Fraga, Leonardo A. Ferreira, Tiago H. Falk, Erin Johns, Natalie D. Phillips:
Event-related synchronisation responses to N-back memory tasks discriminate between healthy ageing, mild cognitive impairment, and mild Alzheimer's disease. ICASSP 2017: 964-968 - 2016
- [c7]Francisco J. Fraga, Eliezyer F. Oliveira, Paulo A. M. Kanda:
EEG epoch selection: Lack of alpha rhythm improves discrimination of Alzheimer's disease. EMBC 2016: 2307-2310 - [c6]Francisco J. Fraga, Claudemiro V. Noya, Maria I. Zimiani, Milton A. Avila, Rosana Shuhama, Cristina M. Del-Ben, Paulo R. Menezes, Rodrigo San-Martin, Cristiane Salum:
Simultaneous evaluation of prepulse inhibition with EMG and EEG using advanced artifact removal techniques. EMBC 2016: 5262-5265 - 2015
- [j3]Walter H. L. Pinaya, Francisco J. Fraga, Salo S. Haratz, Philip J. A. Dean, Adriana Conforto, Edson Bor-Seng-Shu, Manoel J. Teixeira, João R. Sato:
Comparing Methods for Determining Motor-Hand Lateralization Based on fTCD Signals. J. Medical Syst. 39(2): 4 (2015) - 2014
- [j2]Tiago H. Falk, Francisco J. Fraga, Lucas Trambaiolli, Renato Anghinah:
Correction: EEG amplitude modulation analysis for semi-automated diagnosis of Alzheimer's disease. EURASIP J. Adv. Signal Process. 2014: 49 (2014) - [c5]Anderson R. Avila, Milton Orlando Sarria-Paja, Francisco J. Fraga, Douglas D. O'Shaughnessy, Tiago H. Falk:
Improving the performance of far-field speaker verification using multi-condition training: the case of GMM-UBM and i-vector systems. INTERSPEECH 2014: 1096-1100 - 2013
- [c4]Francisco J. Fraga, Tiago H. Falk, Lucas Trambaiolli, Eliezyer F. Oliveira, Walter H. L. Pinaya, Paulo A. M. Kanda, Renato Anghinah:
Towards an EEG-based biomarker for Alzheimer's disease: Improving amplitude modulation analysis features. ICASSP 2013: 1207-1211 - 2012
- [j1]Tiago H. Falk, Francisco J. Fraga, Lucas Trambaiolli, Renato Anghinah:
EEG Amplitude Modulation Analysis for Semi-Automated Diagnosis of Alzheimer's Disease. EURASIP J. Adv. Signal Process. 2012: 192 (2012) - 2011
- [c3]Lucas Trambaiolli, Tiago H. Falk, Francisco J. Fraga, Renato Anghinah, Ana Carolina Lorena:
EEG spectro-temporal modulation energy: A new feature for automated diagnosis of Alzheimer's disease. EMBC 2011: 3828-3831
2000 – 2009
- 2008
- [c2]Francisco J. Fraga, Leticia P. Costa S. Prates, Maria Cecilia M. Iorio:
Frequency compression/transposition of fricative consonants for the hearing impaired with high-frequency dead regions. INTERSPEECH 2008: 2238-2241 - 2003
- [c1]Alan M. Marotta, Francisco J. Fraga:
Comparison of two frequency lowering algorithms for digital hearing aids. MAVEBA 2003: 223-226
Coauthor Index
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