Comparison of two frequency lowering algorithms for digital hearing aids. - Alan M. Marotta; Francisco J. Fraga (MAVEBA, 2003)

Frequency compression/transposition of fricative consonants for the hearing impaired with high-frequency dead regions. - Francisco J. Fraga; Leticia P. Costa S. Prates; Maria Cecilia M. Iorio (INTERSPEECH, 2008)

EEG spectro-temporal modulation energy: A new feature for automated diagnosis of Alzheimer's disease. - Lucas Trambaiolli; Tiago H. Falk; Francisco J. Fraga; Renato Anghinah; Ana Carolina Lorena (EMBC, 2011)

EEG Amplitude Modulation Analysis for Semi-Automated Diagnosis of Alzheimer's Disease. - Tiago H. Falk; Francisco J. Fraga; Lucas Trambaiolli; Renato Anghinah (EURASIP J. Adv. Signal Process., 2012)

Towards an EEG-based biomarker for Alzheimer's disease: Improving amplitude modulation analysis features. - Francisco J. Fraga; Tiago H. Falk; Lucas Trambaiolli; Eliezyer Fermino de Oliveira; Walter H. L. Pinaya; Paulo A. M. Kanda; Renato Anghinah (ICASSP, 2013)

Improving the performance of far-field speaker verification using multi-condition training: the case of GMM-UBM and i-vector systems. - Anderson R. Avila; Milton Orlando Sarria-Paja; Francisco J. Fraga; Douglas D. O'Shaughnessy; Tiago H. Falk (INTERSPEECH, 2014)

Correction: EEG amplitude modulation analysis for semi-automated diagnosis of Alzheimer's disease. - Tiago H. Falk; Francisco J. Fraga; Lucas Trambaiolli; Renato Anghinah (EURASIP J. Adv. Signal Process., 2014)

Comparing Methods for Determining Motor-Hand Lateralization Based on fTCD Signals. - 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 (J. Medical Syst., 2015)

Simultaneous evaluation of prepulse inhibition with EMG and EEG using advanced artifact removal techniques. - 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 (EMBC, 2016)

EEG epoch selection: Lack of alpha rhythm improves discrimination of Alzheimer's disease. - Francisco J. Fraga; Eliezyer Fermino de Oliveira; Paulo A. M. Kanda (EMBC, 2016)

Event-related synchronisation responses to N-back memory tasks discriminate between healthy ageing, mild cognitive impairment, and mild Alzheimer's disease. - Francisco J. Fraga; Leonardo A. Ferreira; Tiago H. Falk; Erin Johns; Natalie D. Phillips (ICASSP, 2017)

Towards automated electroencephalography-based Alzheimer's disease diagnosis using portable low-density devices. - Raymundo Cassani; Tiago H. Falk; Francisco J. Fraga; Marco Cecchi; Dennis K. Moore; Renato Anghinah (Biomed. Signal Process. Control., 2017)

EEG epochs with less alpha rhythm improve discrimination of mild Alzheimer's. - Paulo A. M. Kanda; Eliezyer Fermino de Oliveira; Francisco J. Fraga (Comput. Methods Programs Biomed., 2017)

Early diagnosis of mild cognitive impairment and Alzheimer's with event-related potentials and event-related desynchronization in N-back working memory tasks. - Francisco J. Fraga; Godofredo Quispe Mamani; Erin Johns; Guilherme Tavares; Tiago H. Falk; Natalie A. Phillips (Comput. Methods Programs Biomed., 2018)

Evaluation of Performance Metrics for Users of Brain Computer Interfaces during Motor Imagery. - Paulo V. Ascenção; Eliana M. Santos; Luciano H. Lacerda; Francisco J. Fraga (SMC, 2019)

Improvement in the automatic classification of Alzheimer's disease using EEG after feature selection. - Guilherme Tavares; Rodrigo San-Martin; Jéssica N. Ianof; Renato Anghinah; Francisco J. Fraga (SMC, 2019)

Improved motor imagery brain-computer interface performance via adaptive modulation filtering and two-stage classification. - Eliana M. Santos; Raymundo Cassani; Tiago H. Falk; Francisco J. Fraga (Biomed. Signal Process. Control., 2020)

Comparison of LORETA and CSP for Brain-Computer Interface Applications. - Eliana M. Santos; Rodrigo San-Martin; Francisco J. Fraga (SSD, 2021)

A method for diagnosis support of mild cognitive impairment through EEG rhythms source location during working memory tasks. - Rodrigo San-Martin; Erin Johns; Godofredo Quispe Mamani; Guilherme Tavares; Natalie A. Phillips; Francisco J. Fraga (Biomed. Signal Process. Control., 2021)

An experience of automated assessment in a large-scale introduction programming course. - Francisco de Assis Zampirolli; João Marcelo Borovina Josko; Mirtha L. F. Venero; Guiou Kobayashi; Francisco J. Fraga; Denise H. Goya; Heitor R. Savegnago (Comput. Appl. Eng. Educ., 2021)

Assistive technology in large-scale assessments for students with visual impairments: A systematic review and recommendations based on the Brazilian reality. - Lucinda A. Leria; Priscila Benitez; Francisco J. Fraga (Educ. Inf. Technol., 2021)

Comparison of subject-independent and subject-specific EEG-based BCI using LDA and SVM classifiers. - Eliana M. dos Santos; Rodrigo San-Martin; Francisco J. Fraga (Medical Biol. Eng. Comput., 2023)

Event-Related Potentials and Event-Related Spectral Perturbation for Classification of Apolipoprotein E ϵ4 Allele Carriers in Alzheimer Disease Patients and Healthy Controls. - Kauê O. Frassão; Sandro M. S. Filho; Renata Valle Pedroso; Carla Manuela Crispim Nascimento; Henrique Pott; Marcia Regina Cominetti; Francisco J. Fraga (EMBC, 2024)

Classification of Apolipoprotein E ϵ4 Allele Carriers in Cognitively Healthy Older Adults and Alzheimer's Disease Patients Using Event-Related Potentials and Event-Related Spectral Perturbation. - Kauê O. Frassão; Sandro M. S. Filho; Renata Valle Pedroso; Carla Manuela Crispim Nascimento; Henrique Pott; Marcia Regina Cominetti; Francisco J. Fraga (IEEE Access, 2025)