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Trabalho de evento
Convolutional neural networks enriched by handcrafted attributes (Enriched-CNN): an innovative approach to pattern recognition in histological images (2025)
Santos, Luiz Fernando Segato dos ; Neves, Leandro Alves ; Martins, Alessandro Santana ; Roberto, Guilherme Freire ; Tosta, Thaína Aparecida Azevedo ; Nascimento, Marcelo Zanchetta do
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: REDES NEURAIS, RECONHECIMENTO DE IMAGEM, FRACTAIS, HISTOLOGIA
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ABNT
SANTOS, Luiz Fernando Segato dos et al. Convolutional neural networks enriched by handcrafted attributes (Enriched-CNN): an innovative approach to pattern recognition in histological images. 2025, Anais.. Setúbal: SciTePress, 2025. Disponível em: https://doi.org/10.5220/0013277300003929. Acesso em: 30 nov. 2025.
APA
Santos, L. F. S. dos, Neves, L. A., Martins, A. S., Roberto, G. F., Tosta, T. A. A., & Nascimento, M. Z. do. (2025). Convolutional neural networks enriched by handcrafted attributes (Enriched-CNN): an innovative approach to pattern recognition in histological images. In Proceedings. Setúbal: SciTePress. doi:10.5220/0013277300003929
NLM
Santos LFS dos, Neves LA, Martins AS, Roberto GF, Tosta TAA, Nascimento MZ do. Convolutional neural networks enriched by handcrafted attributes (Enriched-CNN): an innovative approach to pattern recognition in histological images [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0013277300003929
Vancouver
Santos LFS dos, Neves LA, Martins AS, Roberto GF, Tosta TAA, Nascimento MZ do. Convolutional neural networks enriched by handcrafted attributes (Enriched-CNN): an innovative approach to pattern recognition in histological images [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0013277300003929
Trabalho de evento
Association of fractal geometry and data augmentation through GANs and XAI for classification of histology images (2025)
Borgue, Vinicius Augusto Toreli ; Garcia, Bianca Lançoni de Oliveira ; Pelicano Junior, Sérgio Augusto ; Roberto, Guilherme Freire ; Rozendo, Guilherme Botazzo ; Neves, Leandro Alves ; Martins, Alessandro Santana ; Tosta, Thaína Aparecida Azevedo ; Nascimento, Marcelo Zanchetta do
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: REDES NEURAIS, RECONHECIMENTO DE IMAGEM, FRACTAIS, HISTOLOGIA
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ABNT
BORGUE, Vinicius Augusto Toreli et al. Association of fractal geometry and data augmentation through GANs and XAI for classification of histology images. 2025, Anais.. Setúbal: SciTePress, 2025. Disponível em: https://doi.org/10.5220/0013280200003929. Acesso em: 30 nov. 2025.
APA
Borgue, V. A. T., Garcia, B. L. de O., Pelicano Junior, S. A., Roberto, G. F., Rozendo, G. B., Neves, L. A., et al. (2025). Association of fractal geometry and data augmentation through GANs and XAI for classification of histology images. In Proceedings. Setúbal: SciTePress. doi:10.5220/0013280200003929
NLM
Borgue VAT, Garcia BL de O, Pelicano Junior SA, Roberto GF, Rozendo GB, Neves LA, Martins AS, Tosta TAA, Nascimento MZ do. Association of fractal geometry and data augmentation through GANs and XAI for classification of histology images [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0013280200003929
Vancouver
Borgue VAT, Garcia BL de O, Pelicano Junior SA, Roberto GF, Rozendo GB, Neves LA, Martins AS, Tosta TAA, Nascimento MZ do. Association of fractal geometry and data augmentation through GANs and XAI for classification of histology images [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0013280200003929
Trabalho de evento
FairMed-FL: federated learning for fair and unbiased deep learning in medical imaging (2025)
Carmo, Êrica Peters do ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR IMAGEM
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ABNT
CARMO, Êrica Peters do e TRAINA JUNIOR, Caetano e TRAINA, Agma Juci Machado. FairMed-FL: federated learning for fair and unbiased deep learning in medical imaging. 2025, Anais.. Los Alamitos: IEEE, 2025. Disponível em: https://doi.org/10.1109/CBMS65348.2025.00158. Acesso em: 30 nov. 2025.
APA
Carmo, Ê. P. do, Traina Junior, C., & Traina, A. J. M. (2025). FairMed-FL: federated learning for fair and unbiased deep learning in medical imaging. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS65348.2025.00158
NLM
Carmo ÊP do, Traina Junior C, Traina AJM. FairMed-FL: federated learning for fair and unbiased deep learning in medical imaging [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00158
Vancouver
Carmo ÊP do, Traina Junior C, Traina AJM. FairMed-FL: federated learning for fair and unbiased deep learning in medical imaging [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00158
Trabalho de evento
RadPleura: a radiomics-based framework for lung pleura classification in histology images from interstitial lung diseases (2024)
Linares, Oscar Alonso Cuadros ; Belizario, Ivar Vargas ; Batah, Sabrina Setembre ; Hamann, Bernd ; Fabro, Alexandre Todorovic ; Azevedo-Marques, Paulo Mazzoncini de ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: IEEE International Symposium on Biomedical Imaging - ISBI. Unidades: FMRP, ICMC
Subjects: RECONHECIMENTO DE IMAGEM, APRENDIZADO COMPUTACIONAL, DIAGNÓSTICO POR COMPUTADOR, DIAGNÓSTICO POR IMAGEM, DOENÇAS PULMONARES INTERSTICIAIS, PLEURA, TECNOLOGIAS DA SAÚDE
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ABNT
LINARES, Oscar Alonso Cuadros et al. RadPleura: a radiomics-based framework for lung pleura classification in histology images from interstitial lung diseases. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/ISBI56570.2024.10635328. Acesso em: 30 nov. 2025.
APA
Linares, O. A. C., Belizario, I. V., Batah, S. S., Hamann, B., Fabro, A. T., Azevedo-Marques, P. M. de, & Traina, A. J. M. (2024). RadPleura: a radiomics-based framework for lung pleura classification in histology images from interstitial lung diseases. In Proceedings. Piscataway: IEEE. doi:10.1109/ISBI56570.2024.10635328
NLM
Linares OAC, Belizario IV, Batah SS, Hamann B, Fabro AT, Azevedo-Marques PM de, Traina AJM. RadPleura: a radiomics-based framework for lung pleura classification in histology images from interstitial lung diseases [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/ISBI56570.2024.10635328
Vancouver
Linares OAC, Belizario IV, Batah SS, Hamann B, Fabro AT, Azevedo-Marques PM de, Traina AJM. RadPleura: a radiomics-based framework for lung pleura classification in histology images from interstitial lung diseases [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/ISBI56570.2024.10635328
Trabalho de evento
Randomized encoding ensemble: a new approach for texture representation (2024)
Fares, Ricardo Trivizan ; Vicentim, Ana Catarina Marques ; Scabini, Leonardo Felipe dos Santos ; Zielinski, Kallil Miguel Caparroz ; Jennane, Rachid ; Bruno, Odemir Martinez ; Ribas, Lucas Correia
Source: Proceedings. Conference titles: International Conference on Systems, Signals and Image Processing - IWSSIP. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE IMAGEM, PLANTAS
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ABNT
FARES, Ricardo Trivizan et al. Randomized encoding ensemble: a new approach for texture representation. 2024, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2024. Disponível em: https://doi.org/10.1109/IWSSIP62407.2024.10634030. Acesso em: 30 nov. 2025.
APA
Fares, R. T., Vicentim, A. C. M., Scabini, L. F. dos S., Zielinski, K. M. C., Jennane, R., Bruno, O. M., & Ribas, L. C. (2024). Randomized encoding ensemble: a new approach for texture representation. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IWSSIP62407.2024.10634030
NLM
Fares RT, Vicentim ACM, Scabini LF dos S, Zielinski KMC, Jennane R, Bruno OM, Ribas LC. Randomized encoding ensemble: a new approach for texture representation [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/IWSSIP62407.2024.10634030
Vancouver
Fares RT, Vicentim ACM, Scabini LF dos S, Zielinski KMC, Jennane R, Bruno OM, Ribas LC. Randomized encoding ensemble: a new approach for texture representation [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/IWSSIP62407.2024.10634030
Trabalho de evento
MedTimeSplit: continual dataset partitioning to mimic real-world settings for federated learning on Non-IID medical image data (2024)
Aguiar, Erikson Júlio de ; Traina, Agma Juci Machado ; Helal, Sumi
Source: Proceedings. Conference titles: IEEE International Conference on Big Data - Big Data. Unidade: ICMC
Subjects: BANCO DE DADOS MULTIMÍDIA, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR IMAGEM, TECNOLOGIAS DA SAÚDE
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ABNT
AGUIAR, Erikson Júlio de e TRAINA, Agma Juci Machado e HELAL, Sumi. MedTimeSplit: continual dataset partitioning to mimic real-world settings for federated learning on Non-IID medical image data. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/BigData62323.2024.10826044. Acesso em: 30 nov. 2025.
APA
Aguiar, E. J. de, Traina, A. J. M., & Helal, S. (2024). MedTimeSplit: continual dataset partitioning to mimic real-world settings for federated learning on Non-IID medical image data. In Proceedings. Piscataway: IEEE. doi:10.1109/BigData62323.2024.10826044
NLM
Aguiar EJ de, Traina AJM, Helal S. MedTimeSplit: continual dataset partitioning to mimic real-world settings for federated learning on Non-IID medical image data [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/BigData62323.2024.10826044
Vancouver
Aguiar EJ de, Traina AJM, Helal S. MedTimeSplit: continual dataset partitioning to mimic real-world settings for federated learning on Non-IID medical image data [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/BigData62323.2024.10826044
Trabalho de evento
Deep texture feature aggregation on leaf microscopy images for brazilian plant species recognition (2024)
Scabini, Leonardo Felipe dos Santos ; Zielinski, Kallil Miguel Caparroz ; Fares, Ricardo Trivizan ; Konuk, Emir; Miranda, Gisele Helena Barboni ; Kolb, Rosana Marta; Ribas, Lucas Correia ; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: International Conference on Machine Learning Technologies - ICMLT. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, FÍSICA COMPUTACIONAL, PLANTAS, RECONHECIMENTO DE IMAGEM
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ABNT
SCABINI, Leonardo Felipe dos Santos et al. Deep texture feature aggregation on leaf microscopy images for brazilian plant species recognition. 2024, Anais.. New York: Association for Computing Machinery - ACM, 2024. Disponível em: https://doi.org/10.1145/3674029.3674063. Acesso em: 30 nov. 2025.
APA
Scabini, L. F. dos S., Zielinski, K. M. C., Fares, R. T., Konuk, E., Miranda, G. H. B., Kolb, R. M., et al. (2024). Deep texture feature aggregation on leaf microscopy images for brazilian plant species recognition. In Proceedings. New York: Association for Computing Machinery - ACM. doi:10.1145/3674029.3674063
NLM
Scabini LF dos S, Zielinski KMC, Fares RT, Konuk E, Miranda GHB, Kolb RM, Ribas LC, Bruno OM. Deep texture feature aggregation on leaf microscopy images for brazilian plant species recognition [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1145/3674029.3674063
Vancouver
Scabini LF dos S, Zielinski KMC, Fares RT, Konuk E, Miranda GHB, Kolb RM, Ribas LC, Bruno OM. Deep texture feature aggregation on leaf microscopy images for brazilian plant species recognition [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1145/3674029.3674063
Trabalho de evento
Separating particles from plankton images (2023)
Hirata, Nina Sumiko Tomita ; Morimitsu, Alexandre ; Goulart, Antonio José Homsi
Source: Proceedings. Conference titles: International Conference on Pattern Recognition - ICPR. Unidade: IME
Subjects: APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE IMAGEM, PLÂNCTON
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ABNT
HIRATA, Nina Sumiko Tomita e MORIMITSU, Alexandre e GOULART, Antonio José Homsi. Separating particles from plankton images. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-37731-0_33. Acesso em: 30 nov. 2025.
APA
Hirata, N. S. T., Morimitsu, A., & Goulart, A. J. H. (2023). Separating particles from plankton images. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-37731-0_33
NLM
Hirata NST, Morimitsu A, Goulart AJH. Separating particles from plankton images [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1007/978-3-031-37731-0_33
Vancouver
Hirata NST, Morimitsu A, Goulart AJH. Separating particles from plankton images [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1007/978-3-031-37731-0_33
Trabalho de evento
BoCS: image retrieval using explicable methods (2023)
Silva, Endi Daniel Coelho; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: GERENCIADORES DE BANCO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE IMAGEM
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ABNT
SILVA, Endi Daniel Coelho e TRAINA, Agma Juci Machado. BoCS: image retrieval using explicable methods. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/SIBGRAPI59091.2023.10347171. Acesso em: 30 nov. 2025.
APA
Silva, E. D. C., & Traina, A. J. M. (2023). BoCS: image retrieval using explicable methods. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI59091.2023.10347171
NLM
Silva EDC, Traina AJM. BoCS: image retrieval using explicable methods [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/SIBGRAPI59091.2023.10347171
Vancouver
Silva EDC, Traina AJM. BoCS: image retrieval using explicable methods [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/SIBGRAPI59091.2023.10347171
Trabalho de evento
Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers (2023)
Neves, Leandro Alves ; Martinez, João Manuel Cardoso; Longo, Leonardo Henrique da Costa; Roberto, Guilherme Freire ; Tosta, Thaína Aparecida Azevedo ; Faria, Paulo Rogério de ; Loyola, Adriano Mota ; Cardoso, Sérgio Vitorino ; Silva, Adriano Barbosa ; Nascimento, Marcelo Zanchetta do ; Rozendo, Guilherme Botazzo
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR IMAGEM, DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE, NEOPLASIAS MAMÁRIAS, NEOPLASIAS HEPÁTICAS, NEOPLASIAS DO COLON, NEOPLASIAS RETAIS, ODONTODISPLASIA
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ABNT
NEVES, Leandro Alves et al. Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers. 2023, Anais.. Setúbal: SciTePress, 2023. Disponível em: https://doi.org/10.5220/0011839400003467. Acesso em: 30 nov. 2025.
APA
Neves, L. A., Martinez, J. M. C., Longo, L. H. da C., Roberto, G. F., Tosta, T. A. A., Faria, P. R. de, et al. (2023). Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers. In Proceedings. Setúbal: SciTePress. doi:10.5220/0011839400003467
NLM
Neves LA, Martinez JMC, Longo LH da C, Roberto GF, Tosta TAA, Faria PR de, Loyola AM, Cardoso SV, Silva AB, Nascimento MZ do, Rozendo GB. Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0011839400003467
Vancouver
Neves LA, Martinez JMC, Longo LH da C, Roberto GF, Tosta TAA, Faria PR de, Loyola AM, Cardoso SV, Silva AB, Nascimento MZ do, Rozendo GB. Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0011839400003467
Trabalho de evento
A cross-dataset study on the Brazilian Sign Language translation (2023)
Sarmento, Amanda Hellen de Avellar; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: IEEE/CVF International Conference on Computer Vision Workshops - ICCVW. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE IMAGEM, TRADUÇÃO AUTOMÁTICA, LÍNGUA BRASILEIRA DE SINAIS
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ABNT
SARMENTO, Amanda Hellen de Avellar e PONTI, Moacir Antonelli. A cross-dataset study on the Brazilian Sign Language translation. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICCVW60793.2023.00300. Acesso em: 30 nov. 2025.
APA
Sarmento, A. H. de A., & Ponti, M. A. (2023). A cross-dataset study on the Brazilian Sign Language translation. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICCVW60793.2023.00300
NLM
Sarmento AH de A, Ponti MA. A cross-dataset study on the Brazilian Sign Language translation [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/ICCVW60793.2023.00300
Vancouver
Sarmento AH de A, Ponti MA. A cross-dataset study on the Brazilian Sign Language translation [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/ICCVW60793.2023.00300
Trabalho de evento
Late-fusion multimodal human detection based on RGB and thermal images for robotic perception (2023)
Sousa, Elísio ; Mota, Kennedy O. S ; Gomes, Iago Pachêco ; Garrote, Luís ; Wolf, Denis Fernando ; Premebida, Cristiano
Source: Proceedings. Conference titles: European Conference on Mobile Robots - ECMR. Unidade: ICMC
Subjects: RECONHECIMENTO DE IMAGEM, VEÍCULOS AUTÔNOMOS, APRENDIZAGEM PROFUNDA
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ABNT
SOUSA, Elísio et al. Late-fusion multimodal human detection based on RGB and thermal images for robotic perception. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/ECMR59166.2023.10256301. Acesso em: 30 nov. 2025.
APA
Sousa, E., Mota, K. O. S., Gomes, I. P., Garrote, L., Wolf, D. F., & Premebida, C. (2023). Late-fusion multimodal human detection based on RGB and thermal images for robotic perception. In Proceedings. Piscataway: IEEE. doi:10.1109/ECMR59166.2023.10256301
NLM
Sousa E, Mota KOS, Gomes IP, Garrote L, Wolf DF, Premebida C. Late-fusion multimodal human detection based on RGB and thermal images for robotic perception [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/ECMR59166.2023.10256301
Vancouver
Sousa E, Mota KOS, Gomes IP, Garrote L, Wolf DF, Premebida C. Late-fusion multimodal human detection based on RGB and thermal images for robotic perception [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/ECMR59166.2023.10256301
Trabalho de evento
WSI2ML: an open-source whole slide image annotation software for machine learning applications (2023)
Martins, Luan Vinicius de Carvalho ; Bueno, Adriana Passos ; Defelicibus, Alexandre ; Drummond, Rodrigo Duarte ; Valieris, Renan ; Yu-Tao, Zhu ; Silva, Israel Tojal da ; Liang, Zhao
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidades: FFCLRP, ICMC
Subjects: BIOINFORMÁTICA, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, PATOLOGIA CLÍNICA, TECNOLOGIAS DA SAÚDE
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ABNT
MARTINS, Luan Vinicius de Carvalho et al. WSI2ML: an open-source whole slide image annotation software for machine learning applications. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3617023.3617038. Acesso em: 30 nov. 2025.
APA
Martins, L. V. de C., Bueno, A. P., Defelicibus, A., Drummond, R. D., Valieris, R., Yu-Tao, Z., et al. (2023). WSI2ML: an open-source whole slide image annotation software for machine learning applications. In Proceedings. New York: ACM. doi:10.1145/3617023.3617038
NLM
Martins LV de C, Bueno AP, Defelicibus A, Drummond RD, Valieris R, Yu-Tao Z, Silva IT da, Liang Z. WSI2ML: an open-source whole slide image annotation software for machine learning applications [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1145/3617023.3617038
Vancouver
Martins LV de C, Bueno AP, Defelicibus A, Drummond RD, Valieris R, Yu-Tao Z, Silva IT da, Liang Z. WSI2ML: an open-source whole slide image annotation software for machine learning applications [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1145/3617023.3617038
Trabalho de evento
Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings (2023)
Aguiar, Erikson Júlio de ; Costa, Márcus Vinícius Lobo ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR
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ABNT
AGUIAR, Erikson Júlio de et al. Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/CBMS58004.2023.00184. Acesso em: 30 nov. 2025.
APA
Aguiar, E. J. de, Costa, M. V. L., Traina Junior, C., & Traina, A. J. M. (2023). Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS58004.2023.00184
NLM
Aguiar EJ de, Costa MVL, Traina Junior C, Traina AJM. Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00184
Vancouver
Aguiar EJ de, Costa MVL, Traina Junior C, Traina AJM. Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00184
Trabalho de evento
Early detection of autism spectrum disorder using non-invasive EEG (2023)
Antunes, Marcela Prince; Rosa, João Luís Garcia ; Sabai, Fabio Junior; Aguiar Neto, Fernando Soares de
Source: Proceedings. Conference titles: International Conference on Body Sensor Networks - BSN. Unidade: ICMC
Subjects: RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE, ELETROENCEFALOGRAFIA, TRANSTORNO AUTÍSTICO
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ABNT
ANTUNES, Marcela Prince et al. Early detection of autism spectrum disorder using non-invasive EEG. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/BSN58485.2023.10331452. Acesso em: 30 nov. 2025.
APA
Antunes, M. P., Rosa, J. L. G., Sabai, F. J., & Aguiar Neto, F. S. de. (2023). Early detection of autism spectrum disorder using non-invasive EEG. In Proceedings. Piscataway: IEEE. doi:10.1109/BSN58485.2023.10331452
NLM
Antunes MP, Rosa JLG, Sabai FJ, Aguiar Neto FS de. Early detection of autism spectrum disorder using non-invasive EEG [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/BSN58485.2023.10331452
Vancouver
Antunes MP, Rosa JLG, Sabai FJ, Aguiar Neto FS de. Early detection of autism spectrum disorder using non-invasive EEG [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/BSN58485.2023.10331452
Trabalho de evento
Satellite imagery predicts socioeconomic indicators: experiments in Brazil (2023)
Silva, João Pedro; Rodrigues Junior, José Fernando
Source: Proceedings. Conference titles: International Conference on Transdisciplinary AI - TransAI. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, REDES NEURAIS, RECONHECIMENTO DE IMAGEM, INDICADORES SOCIOECONÔMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, João Pedro e RODRIGUES JUNIOR, José Fernando. Satellite imagery predicts socioeconomic indicators: experiments in Brazil. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/TransAI60598.2023.00008. Acesso em: 30 nov. 2025.
APA
Silva, J. P., & Rodrigues Junior, J. F. (2023). Satellite imagery predicts socioeconomic indicators: experiments in Brazil. In Proceedings. Los Alamitos: IEEE. doi:10.1109/TransAI60598.2023.00008
NLM
Silva JP, Rodrigues Junior JF. Satellite imagery predicts socioeconomic indicators: experiments in Brazil [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TransAI60598.2023.00008
Vancouver
Silva JP, Rodrigues Junior JF. Satellite imagery predicts socioeconomic indicators: experiments in Brazil [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/TransAI60598.2023.00008
Trabalho de evento
A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model (2023)
Costa, Márcus Vinícius Lobo ; Aguiar, Erikson Júlio de ; Rodrigues, Lucas Santiago ; Ramos, Jonathan da Silva ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Márcus Vinícius Lobo et al. A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/CBMS58004.2023.00272. Acesso em: 30 nov. 2025.
APA
Costa, M. V. L., Aguiar, E. J. de, Rodrigues, L. S., Ramos, J. da S., Traina Junior, C., & Traina, A. J. M. (2023). A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS58004.2023.00272
NLM
Costa MVL, Aguiar EJ de, Rodrigues LS, Ramos J da S, Traina Junior C, Traina AJM. A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00272
Vancouver
Costa MVL, Aguiar EJ de, Rodrigues LS, Ramos J da S, Traina Junior C, Traina AJM. A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00272
Trabalho de evento
Wia-Spine: a CBIR environment with embedded radiomic features to assess fragility fractures (2022)
Bêdo, Marcos Vinícius Naves; Ramos, Jonathan da Silva ; Traina, Agma Juci Machado ; Traina Junior, Caetano ; Nogueira-Barbosa, Marcello Henrique ; Azevedo-Marques, Paulo Mazzoncini de
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidades: ICMC, FMRP
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, DIAGNÓSTICO POR IMAGEM, RESSONÂNCIA MAGNÉTICA, OSTEOGÊNESE IMPERFEITA, OSTEOPOROSE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BÊDO, Marcos Vinícius Naves et al. Wia-Spine: a CBIR environment with embedded radiomic features to assess fragility fractures. 2022, Anais.. Los Alamitos: IEEE, 2022. Disponível em: https://doi.org/10.1109/CBMS55023.2022.00020. Acesso em: 30 nov. 2025.
APA
Bêdo, M. V. N., Ramos, J. da S., Traina, A. J. M., Traina Junior, C., Nogueira-Barbosa, M. H., & Azevedo-Marques, P. M. de. (2022). Wia-Spine: a CBIR environment with embedded radiomic features to assess fragility fractures. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS55023.2022.00020
NLM
Bêdo MVN, Ramos J da S, Traina AJM, Traina Junior C, Nogueira-Barbosa MH, Azevedo-Marques PM de. Wia-Spine: a CBIR environment with embedded radiomic features to assess fragility fractures [Internet]. Proceedings. 2022 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/CBMS55023.2022.00020
Vancouver
Bêdo MVN, Ramos J da S, Traina AJM, Traina Junior C, Nogueira-Barbosa MH, Azevedo-Marques PM de. Wia-Spine: a CBIR environment with embedded radiomic features to assess fragility fractures [Internet]. Proceedings. 2022 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/CBMS55023.2022.00020
Trabalho de evento
Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition (2022)
Hayashi, Sergio Yuji; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: International Conference on Pattern Recognition - ICPR. Unidade: IME
Subjects: RECONHECIMENTO DE IMAGEM, REDES NEURAIS, ENGENHARIA DE CONHECIMENTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HAYASHI, Sergio Yuji e HIRATA, Nina Sumiko Tomita. Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/ICPR56361.2022.9956133. Acesso em: 30 nov. 2025.
APA
Hayashi, S. Y., & Hirata, N. S. T. (2022). Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition. In Proceedings. Piscataway: IEEE. doi:10.1109/ICPR56361.2022.9956133
NLM
Hayashi SY, Hirata NST. Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition [Internet]. Proceedings. 2022 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/ICPR56361.2022.9956133
Vancouver
Hayashi SY, Hirata NST. Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition [Internet]. Proceedings. 2022 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/ICPR56361.2022.9956133
Trabalho de evento
A complex network approach for fish species recognition based on otolith shape (2022)
Ribas, Lucas Correia ; Scabini, Leonardo ; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA. Unidade: IFSC
Subjects: REDES COMPLEXAS, REDES NEURAIS, IMAGEM DIGITAL, RECONHECIMENTO DE IMAGEM, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBAS, Lucas Correia e SCABINI, Leonardo e BRUNO, Odemir Martinez. A complex network approach for fish species recognition based on otolith shape. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784114. Acesso em: 30 nov. 2025.
APA
Ribas, L. C., Scabini, L., & Bruno, O. M. (2022). A complex network approach for fish species recognition based on otolith shape. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784114
NLM
Ribas LC, Scabini L, Bruno OM. A complex network approach for fish species recognition based on otolith shape [Internet]. Proceedings. 2022 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784114
Vancouver
Ribas LC, Scabini L, Bruno OM. A complex network approach for fish species recognition based on otolith shape [Internet]. Proceedings. 2022 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784114

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