| A whole brain eeg analysis of musicianship E Ribeiro, CE Thomaz Music Perception: An Interdisciplinary Journal 37 (1), 42-56, 2019 | 9 | 2019 |
| A cluster analysis of benchmark acoustic features on Brazilian music L Ferreira, E Ribeiro, C Thomaz Anais do XVII Simpósio Brasileiro de Computação Musical, 194-196, 2019 | 3 | 2019 |
| A multivariate statistical analysis of EEG signals for differentiation of musicians and non-musicians E Ribeiro, CE Thomaz Anais do XV Encontro Nacional de Inteligência Artificial e Computacional …, 2018 | 3 | 2018 |
| Eye movements and human face perception: An holistic analysis and proficiency classification based on frontal 2D face images VPL Varela, E Ribeiro, PASS Orona, CE Thomaz Anais do XV Encontro Nacional de Inteligência Artificial e Computacional, 48-57, 2018 | 3 | 2018 |
| Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization FM Dias, E Ribeiro, RA Moreno, AH Ribeiro, N Samesima, CA Pastore, ... Ieee Access, 2023 | 1 | 2023 |
| Machine learning-based diabetes detection using photoplethysmography signal features FAC Oliveira, FM Dias, MAF Toledo, DAC Cardenas, DA Almeida, ... arXiv preprint arXiv:2308.01930, 2023 | 1 | 2023 |
| Interpretable deep learning model for cardiomegaly detection with chest X-ray images E Ribeiro, DAC Cardenas, JE Krieger, MA Gutierrez Anais do XXIII Simpósio Brasileiro de Computação Aplicada à Saúde, 340-347, 2023 | 1 | 2023 |
| Less acoustic features means more statistical relevance: Disclosing the clustering behavior in music stimuli E Ribeiro, CE Thomaz IEEE Latin America Transactions 20 (4), 686-692, 2022 | 1 | 2022 |
| Análise e reconhecimento de padrões cognitivos em escutas musicais e sonoros em áudios E Ribeiro | 1 | 2020 |
| Um estudo sobre predição de musicalidade por meio da análise de sinais de EEG E Ribeiro, CE Thomaz Dissertação de Mestrado em Engenharia Elétria, FEI, São Bernardo do Campo …, 2017 | 1 | 2017 |
| Exploring the limitations of blood pressure estimation using the photoplethysmography signal FM Dias, DAC Cardenas, MAF Toledo, FAC Oliveira, E Ribeiro, ... arXiv preprint arXiv:2404.16049, 2024 | | 2024 |
| Enhancing Interpretability in Image-Based ECG exams for Atrial Fibrillation Classification Using Deep Learning E Ribeiro, FM Dias, JE Krieger, MA Gutierrez SSNR preprint | https://dx.doi.org/10.2139/ssrn.4685963 | DOI: 10.2139/ssrn …, 2024 | | 2024 |
| Predicting Age and Sex from Reduced Lead Electrocardiograms using Deep Learning FM Dias, E Ribeiro, Q Soares, J Krieger, MA Gutierrez Authorea Preprints, 2023 | | 2023 |
| Artificial Intelligence-Driven Screening System for Rapid Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization FM Dias, E Ribeiro, A Ribeiro, J Krieger, MA Gutierrez Authorea Preprints, 2023 | | 2023 |
| Developing a Machine Learning Pipeline for Predicting Neurological Outcomes in Comatose Cardiac Arrest Survivors Using Continuous EEG Data Q Soares, FM Dias, E Ribeiro, JE Krieger, MA Gutierrez 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
| Explainable AI in Deep Learning-based Detection of Aortic Elongation on Chest X-ray Images E Ribeiro, DAC Cardenas, FM Dias, JE Krieger, MA Gutierrez medRxiv, 2023.08. 28.23294735, 2023 | | 2023 |
| A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals DA Almeida, FM Dias, MAF Toledo, DAC Cardenas, FAC Oliveira, ... arXiv preprint arXiv:2308.05759, 2023 | | 2023 |
| Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices FM Dias, MAF Toledo, DAC Cardenas, DA Almeida, FAC Oliveira, ... arXiv preprint arXiv:2307.08766, 2023 | | 2023 |
| Deep Learning Approach for Detection of Atrial Fibrillation and Atrial Flutter Based on ECG Images E Ribeiro, FM Dias, QB Soares, JE Krieger, MA Gutierrez Anais do XXIII Simpósio Brasileiro de Computação Aplicada à Saúde, 509-514, 2023 | | 2023 |
| Can Deep Learning Models Differentiate Atrial Fibrillation from Atrial Flutter? E Ribeiro, QB Soares, FM Dias, JE Krieger, MA Gutierrez medRxiv, 2023.08. 08.23293815, 2023 | | 2023 |
Carlos Eduardo ThomazProfessor of Statistical Pattern Recognition, FEIEmail confirmado em fei.edu.br
