| A Survey of Blockchain-Based Strategies for Healthcare EJ De Aguiar, BS Faiçal, B Krishnamachari, J Ueyama ACM Computing Surveys (CSUR) 53 (2), 1-27, 2020 | 313 | 2020 |
| A blockchain-based protocol for tracking user access to shared medical imaging EJ Aguiar, AJ Dos Santos, RI Meneguette, R De Grade, J Ueyama Future Generation Computer Systems, 2022 | 31 | 2022 |
| Análise de sentimento em redes sociais para a língua portuguesa utilizando algoritmos de classificação EJ De Aguiar, BS Faiçal, J Ueyama, GC Silva, A Menolli Anais do XXXVI Simpósio Brasileiro de Redes de Computadores e Sistemas …, 2018 | 19 | 2018 |
| A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model MVL Costa, EJ de Aguiar, LS Rodrigues, JS Ramos, C Traina, AJM Traina 2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023 | 7 | 2023 |
| Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases E Aguiar, K Marcomini, F Quirino, M Gutierrez, C Traina Jr, A Traina Proc. of SPIE Vol 12033, 120332P-1, 2022 | 7 | 2022 |
| Assessing Vulnerabilities of Deep Learning Explainability in Medical Image Analysis Under Adversarial Settings EJ De Aguiar, MVL Costa, C Traina, AJM Traina 2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023 | 5 | 2023 |
| Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning JS Ramos, EJ de Aguiar, IV Belizario, MVL Costa, JG Maciel, ... 2022 IEEE 35th International Symposium on Computer-Based Medical Systems …, 2022 | 5 | 2022 |
| Security and Privacy in Machine Learning for Health Systems: Strategies and Challenges EJ de Aguiar, C Traina Jr, AJM Traina Yearbook of Medical Informatics 32 (01), 269-281, 2023 | 4 | 2023 |
| Um framework baseado em blockchain para preservar a privacidade no compartilhamento de dados de saúde EJ Aguiar Universidade de São Paulo, 2021 | 1 | 2021 |
| DEELE-Rad: exploiting deep radiomics features in deep learning models using COVID-19 chest X-ray images MVL Costa, EJ de Aguiar, LS Rodrigues, C Traina Jr, AJM Traina Health Information Science and Systems 13 (1), 11, 2024 | | 2024 |
| MedTimeSplit: Continual dataset partitioning to mimic real-world settings for federated learning on Non-IID medical image data EJ de Aguiar, AJM Traina, S Helal 2024 IEEE International Conference on Big Data (BigData), 7612-7621, 2024 | | 2024 |
| RADAR-MIX: How to Uncover Adversarial Attacks in Medical Image Analysis through Explainability EJ De Aguiar, C Traina, AJM Traina 2024 IEEE 37th International Symposium on Computer-Based Medical Systems …, 2024 | | 2024 |
| ANÁLISE DE SENTIMENTO EM REDES SOCIAIS UTILIZANDO COMBINAÇÃO DE CLASSIFICADORES EJDE AGUIAR As redes sociais são um dos maiores meios de comunicação atualmente, dentro …, 2017 | | 2017 |
Jo UeyamaProfessor of Computer Science @ University of Sao Paulo (USP)Adresse e-mail validée de icmc.usp.br
