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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
Predicting B2B customer churn and measuring the impact of machine learning-based retention strategies (2025)
Oliveira, Victória Emanuela Alves ; Guimarães, Amanda Cristina da Costa ; Quadros, Arthur Rodrigues Soares de ; Mazo, Reynold Navarro ; Gaspar, Rickson Livio de Souza; Vieira, Alessandro ; Brandão, Wladmir Cardoso
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: HIDROLOGIA, HIDROLOGIA, PARADIGMA CIENTÍFICO, APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), COMPORTAMENTO DO CONSUMIDOR
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ABNT
OLIVEIRA, Victória Emanuela Alves et al. Predicting B2B customer churn and measuring the impact of machine learning-based retention strategies. 2025, Anais.. Setúbal: SciTePress, 2025. Disponível em: https://doi.org/10.5220/0013436300003929. Acesso em: 30 nov. 2025.
APA
Oliveira, V. E. A., Guimarães, A. C. da C., Quadros, A. R. S. de, Mazo, R. N., Gaspar, R. L. de S., Vieira, A., & Brandão, W. C. (2025). Predicting B2B customer churn and measuring the impact of machine learning-based retention strategies. In Proceedings. Setúbal: SciTePress. doi:10.5220/0013436300003929
NLM
Oliveira VEA, Guimarães AC da C, Quadros ARS de, Mazo RN, Gaspar RL de S, Vieira A, Brandão WC. Predicting B2B customer churn and measuring the impact of machine learning-based retention strategies [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0013436300003929
Vancouver
Oliveira VEA, Guimarães AC da C, Quadros ARS de, Mazo RN, Gaspar RL de S, Vieira A, Brandão WC. Predicting B2B customer churn and measuring the impact of machine learning-based retention strategies [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0013436300003929
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
Improving image classification tasks using fused embeddings and multimodal models (2025)
Oliveira, Artur André Almeida de Macedo ; Espadoto, Mateus ; Hirata Júnior, Roberto ; César Júnior, Roberto Marcondes
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: IME
Subjects: IMAGEM, INTELIGÊNCIA ARTIFICIAL, CLUSTERS
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ABNT
OLIVEIRA, Artur André Almeida de Macedo et al. Improving image classification tasks using fused embeddings and multimodal models. 2025, Anais.. Setúbal: SciTePress, 2025. p. 232-241. Disponível em: https://www.scitepress.org/Papers/2025/133656/133656.pdf. Acesso em: 30 nov. 2025.
APA
Oliveira, A. A. A. de M., Espadoto, M., Hirata Júnior, R., & César Júnior, R. M. (2025). Improving image classification tasks using fused embeddings and multimodal models. In Proceedings (p. 232-241). Setúbal: SciTePress. doi:10.5220/0013365600003912
NLM
Oliveira AAA de M, Espadoto M, Hirata Júnior R, César Júnior RM. Improving image classification tasks using fused embeddings and multimodal models [Internet]. Proceedings. 2025 ; 232-241.[citado 2025 nov. 30 ] Available from: https://www.scitepress.org/Papers/2025/133656/133656.pdf
Vancouver
Oliveira AAA de M, Espadoto M, Hirata Júnior R, César Júnior RM. Improving image classification tasks using fused embeddings and multimodal models [Internet]. Proceedings. 2025 ; 232-241.[citado 2025 nov. 30 ] Available from: https://www.scitepress.org/Papers/2025/133656/133656.pdf
Trabalho de evento
Semi-supervised object labeling on video data with collaborative classification and active learning (2025)
Padilha, Bruno ; Ferreira, João Eduardo
Source: Proceedings. Conference titles: International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS. Unidade: IME
Subjects: INTELIGÊNCIA ARTIFICIAL, GESTÃO DO CONHECIMENTO, BIG DATA, ANÁLISE DE DADOS, SOFTWARES, SISTEMAS COLABORATIVOS
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ABNT
PADILHA, Bruno e FERREIRA, João Eduardo. Semi-supervised object labeling on video data with collaborative classification and active learning. 2025, Anais.. Setúbal, Portugal: SciTePress, 2025. Disponível em: https://doi.org/10.5220/0013707800004000. Acesso em: 30 nov. 2025.
APA
Padilha, B., & Ferreira, J. E. (2025). Semi-supervised object labeling on video data with collaborative classification and active learning. In Proceedings. Setúbal, Portugal: SciTePress. doi:10.5220/0013707800004000
NLM
Padilha B, Ferreira JE. Semi-supervised object labeling on video data with collaborative classification and active learning [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0013707800004000
Vancouver
Padilha B, Ferreira JE. Semi-supervised object labeling on video data with collaborative classification and active learning [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0013707800004000
Trabalho de evento
KluSIM: speeding up k-medoids clustering over dimensional data with metric access method (2024)
Teixeira, Larissa Roberta ; Eleutério, Igor Alberte Rodrigues ; Cazzolato, Mirela Teixeira ; Gutierrez, Marco Antonio ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS
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ABNT
TEIXEIRA, Larissa Roberta et al. KluSIM: speeding up k-medoids clustering over dimensional data with metric access method. 2024, Anais.. Setúbal: SciTePress, 2024. Disponível em: https://doi.org/10.5220/0012599900003690. Acesso em: 30 nov. 2025.
APA
Teixeira, L. R., Eleutério, I. A. R., Cazzolato, M. T., Gutierrez, M. A., Traina, A. J. M., & Traina Junior, C. (2024). KluSIM: speeding up k-medoids clustering over dimensional data with metric access method. In Proceedings. Setúbal: SciTePress. doi:10.5220/0012599900003690
NLM
Teixeira LR, Eleutério IAR, Cazzolato MT, Gutierrez MA, Traina AJM, Traina Junior C. KluSIM: speeding up k-medoids clustering over dimensional data with metric access method [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0012599900003690
Vancouver
Teixeira LR, Eleutério IAR, Cazzolato MT, Gutierrez MA, Traina AJM, Traina Junior C. KluSIM: speeding up k-medoids clustering over dimensional data with metric access method [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0012599900003690
Trabalho de evento
Similarity-slim extension: reducing financial and computational costs of similarity queries in document collections in NoSQL databases (2024)
Silva, William Zaniboni ; Eleutério, Igor Alberte Rodrigues ; Teixeira, Larissa Roberta ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, BANCO DE DADOS MULTIMÍDIA
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ABNT
SILVA, William Zaniboni et al. Similarity-slim extension: reducing financial and computational costs of similarity queries in document collections in NoSQL databases. 2024, Anais.. Setúbal: SciTePress, 2024. Disponível em: https://doi.org/10.5220/0012606300003690. Acesso em: 30 nov. 2025.
APA
Silva, W. Z., Eleutério, I. A. R., Teixeira, L. R., Traina, A. J. M., & Traina Junior, C. (2024). Similarity-slim extension: reducing financial and computational costs of similarity queries in document collections in NoSQL databases. In Proceedings. Setúbal: SciTePress. doi:10.5220/0012606300003690
NLM
Silva WZ, Eleutério IAR, Teixeira LR, Traina AJM, Traina Junior C. Similarity-slim extension: reducing financial and computational costs of similarity queries in document collections in NoSQL databases [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0012606300003690
Vancouver
Silva WZ, Eleutério IAR, Teixeira LR, Traina AJM, Traina Junior C. Similarity-slim extension: reducing financial and computational costs of similarity queries in document collections in NoSQL databases [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0012606300003690
Trabalho de evento
Efficient parameter mining and freezing for continual object detection (2024)
Menezes, Angelo Garangau ; Peterlevitz, Augusto José ; Chinelatto, Mateus Antonio ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, VISÃO COMPUTACIONAL
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ABNT
MENEZES, Angelo Garangau et al. Efficient parameter mining and freezing for continual object detection. 2024, Anais.. Setúbal: SciTePress, 2024. Disponível em: https://doi.org/10.5220/0012362300003660. Acesso em: 30 nov. 2025.
APA
Menezes, A. G., Peterlevitz, A. J., Chinelatto, M. A., & Carvalho, A. C. P. de L. F. de. (2024). Efficient parameter mining and freezing for continual object detection. In Proceedings. Setúbal: SciTePress. doi:10.5220/0012362300003660
NLM
Menezes AG, Peterlevitz AJ, Chinelatto MA, Carvalho ACP de LF de. Efficient parameter mining and freezing for continual object detection [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0012362300003660
Vancouver
Menezes AG, Peterlevitz AJ, Chinelatto MA, Carvalho ACP de LF de. Efficient parameter mining and freezing for continual object detection [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0012362300003660
Trabalho de evento
Validation and refinement of usability heuristics for interactive web maps (2024)
Marquez, Juliana Orro ; Meirelles, Paulo ; Silva, Tiago Silva da
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: IME
Subjects: HEURÍSTICA, INTERFACE HOMEM-COMPUTADOR, USABILIDADE DE SOFTWARE, VISUALIZAÇÃO
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ABNT
MARQUEZ, Juliana Orro e MEIRELLES, Paulo e SILVA, Tiago Silva da. Validation and refinement of usability heuristics for interactive web maps. 2024, Anais.. Setúbal: SciTePress, 2024. Disponível em: https://doi.org/10.5220/0012691300003690. Acesso em: 30 nov. 2025.
APA
Marquez, J. O., Meirelles, P., & Silva, T. S. da. (2024). Validation and refinement of usability heuristics for interactive web maps. In Proceedings. Setúbal: SciTePress. doi:10.5220/0012691300003690
NLM
Marquez JO, Meirelles P, Silva TS da. Validation and refinement of usability heuristics for interactive web maps [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0012691300003690
Vancouver
Marquez JO, Meirelles P, Silva TS da. Validation and refinement of usability heuristics for interactive web maps [Internet]. Proceedings. 2024 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0012691300003690
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
Counteracting popularity-bias and improving diversity through calibrated recommendations (2023)
Sacilotti, Andre ; Souza, Rodrigo Ferrari de ; Manzato, Marcelo Garcia
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: SISTEMAS DE RECOMENDAÇÃO, APRENDIZADO COMPUTACIONAL
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ABNT
SACILOTTI, Andre e SOUZA, Rodrigo Ferrari de e MANZATO, Marcelo Garcia. Counteracting popularity-bias and improving diversity through calibrated recommendations. 2023, Anais.. Setúbal: SciTePress, 2023. Disponível em: https://doi.org/10.5220/0011846000003467. Acesso em: 30 nov. 2025.
APA
Sacilotti, A., Souza, R. F. de, & Manzato, M. G. (2023). Counteracting popularity-bias and improving diversity through calibrated recommendations. In Proceedings. Setúbal: SciTePress. doi:10.5220/0011846000003467
NLM
Sacilotti A, Souza RF de, Manzato MG. Counteracting popularity-bias and improving diversity through calibrated recommendations [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0011846000003467
Vancouver
Sacilotti A, Souza RF de, Manzato MG. Counteracting popularity-bias and improving diversity through calibrated recommendations [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0011846000003467
Trabalho de evento
Design principles and a software reference architecture for big data question answering systems (2023)
Moraes, Leonardo Mauro Pereira ; Jardim, Pedro Calciolari ; Aguiar, Cristina Dutra de
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: BIG DATA, ARQUITETURA DE SOFTWARE
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ABNT
MORAES, Leonardo Mauro Pereira e JARDIM, Pedro Calciolari e AGUIAR, Cristina Dutra de. Design principles and a software reference architecture for big data question answering systems. 2023, Anais.. Setúbal: SciTePress, 2023. Disponível em: https://doi.org/10.5220/0011842700003467. Acesso em: 30 nov. 2025.
APA
Moraes, L. M. P., Jardim, P. C., & Aguiar, C. D. de. (2023). Design principles and a software reference architecture for big data question answering systems. In Proceedings. Setúbal: SciTePress. doi:10.5220/0011842700003467
NLM
Moraes LMP, Jardim PC, Aguiar CD de. Design principles and a software reference architecture for big data question answering systems [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0011842700003467
Vancouver
Moraes LMP, Jardim PC, Aguiar CD de. Design principles and a software reference architecture for big data question answering systems [Internet]. Proceedings. 2023 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0011842700003467
Trabalho de evento
Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement (2022)
Castro, Augusto Ribeiro ; Grassi Júnior, Valdir ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidades: EESC, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, REDES NEURAIS
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ABNT
CASTRO, Augusto Ribeiro e GRASSI JÚNIOR, Valdir e PONTI, Moacir Antonelli. Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement. 2022, Anais.. Lisboa: SciTePress, 2022. Disponível em: https://doi.org/10.5220/0010915300003124. Acesso em: 30 nov. 2025.
APA
Castro, A. R., Grassi Júnior, V., & Ponti, M. A. (2022). Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010915300003124
NLM
Castro AR, Grassi Júnior V, Ponti MA. Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement [Internet]. Proceedings. 2022 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0010915300003124
Vancouver
Castro AR, Grassi Júnior V, Ponti MA. Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement [Internet]. Proceedings. 2022 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0010915300003124
Trabalho de evento
FAIR principles and big data: a software reference architecture for open science (2022)
Castro, João Pedro de Carvalho ; Romero, Lucas de Medeiros França ; Carniel, Anderson Chaves ; Aguiar, Cristina Dutra de
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: BIG DATA, ARQUITETURA DE SOFTWARE
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ABNT
CASTRO, João Pedro de Carvalho et al. FAIR principles and big data: a software reference architecture for open science. 2022, Anais.. Lisboa: SciTePress, 2022. Disponível em: https://doi.org/10.5220/0011045500003179. Acesso em: 30 nov. 2025.
APA
Castro, J. P. de C., Romero, L. de M. F., Carniel, A. C., & Aguiar, C. D. de. (2022). FAIR principles and big data: a software reference architecture for open science. In Proceedings. Lisboa: SciTePress. doi:10.5220/0011045500003179
NLM
Castro JP de C, Romero L de MF, Carniel AC, Aguiar CD de. FAIR principles and big data: a software reference architecture for open science [Internet]. Proceedings. 2022 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0011045500003179
Vancouver
Castro JP de C, Romero L de MF, Carniel AC, Aguiar CD de. FAIR principles and big data: a software reference architecture for open science [Internet]. Proceedings. 2022 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0011045500003179
Trabalho de evento
SDBM: Supervised Decision Boundary Maps for machine learning classifiers (2022)
Oliveira, Artur André Almeida de Macedo ; Espadoto, Mateus ; Hirata Júnior, Roberto ; Telea, Alexandru Cristian
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - IVAPP. Unidade: IME
Assunto: APRENDIZADO COMPUTACIONAL
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ABNT
OLIVEIRA, Artur André Almeida de Macedo et al. SDBM: Supervised Decision Boundary Maps for machine learning classifiers. 2022, Anais.. Lisboa: SciTePress, 2022. Disponível em: https://doi.org/10.5220/0010896200003124. Acesso em: 30 nov. 2025.
APA
Oliveira, A. A. A. de M., Espadoto, M., Hirata Júnior, R., & Telea, A. C. (2022). SDBM: Supervised Decision Boundary Maps for machine learning classifiers. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010896200003124
NLM
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Telea AC. SDBM: Supervised Decision Boundary Maps for machine learning classifiers [Internet]. Proceedings. 2022 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0010896200003124
Vancouver
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Telea AC. SDBM: Supervised Decision Boundary Maps for machine learning classifiers [Internet]. Proceedings. 2022 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0010896200003124
Trabalho de evento
OptMap: using dense maps for visualizing multidimensional optimization problems (2021)
Espadoto, Mateus ; Rodrigues, Francisco Caio Maia ; Hirata, Nina Sumiko Tomita ; Telea, Alexandru Cristian
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: IME
Subjects: COMPUTAÇÃO GRÁFICA, VISÃO COMPUTACIONAL
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ABNT
ESPADOTO, Mateus et al. OptMap: using dense maps for visualizing multidimensional optimization problems. 2021, Anais.. Lisboa: SciTePress, 2021. Disponível em: https://doi.org/10.5220/0010288501230132. Acesso em: 30 nov. 2025.
APA
Espadoto, M., Rodrigues, F. C. M., Hirata, N. S. T., & Telea, A. C. (2021). OptMap: using dense maps for visualizing multidimensional optimization problems. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010288501230132
NLM
Espadoto M, Rodrigues FCM, Hirata NST, Telea AC. OptMap: using dense maps for visualizing multidimensional optimization problems [Internet]. Proceedings. 2021 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0010288501230132
Vancouver
Espadoto M, Rodrigues FCM, Hirata NST, Telea AC. OptMap: using dense maps for visualizing multidimensional optimization problems [Internet]. Proceedings. 2021 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0010288501230132
Trabalho de evento
Self-supervised dimensionality reduction with neural networks and pseudo-labeling (2021)
Espadoto, Mateus ; Hirata, Nina Sumiko Tomita ; Telea, Alexandru Cristian
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ESPADOTO, Mateus e HIRATA, Nina Sumiko Tomita e TELEA, Alexandru Cristian. Self-supervised dimensionality reduction with neural networks and pseudo-labeling. 2021, Anais.. Lisboa: SciTePress, 2021. Disponível em: https://doi.org/10.5220/0010184800270037. Acesso em: 30 nov. 2025.
APA
Espadoto, M., Hirata, N. S. T., & Telea, A. C. (2021). Self-supervised dimensionality reduction with neural networks and pseudo-labeling. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010184800270037
NLM
Espadoto M, Hirata NST, Telea AC. Self-supervised dimensionality reduction with neural networks and pseudo-labeling [Internet]. Proceedings. 2021 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0010184800270037
Vancouver
Espadoto M, Hirata NST, Telea AC. Self-supervised dimensionality reduction with neural networks and pseudo-labeling [Internet]. Proceedings. 2021 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0010184800270037
Trabalho de evento
Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos (2021)
Nazaré, Tiago Santana de ; Mello, Rodrigo Fernandes de ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE IMAGEM, VÍDEO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAZARÉ, Tiago Santana de e MELLO, Rodrigo Fernandes de e PONTI, Moacir Antonelli. Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos. 2021, Anais.. Lisboa: SciTePress, 2021. Disponível em: https://doi.org/10.5220/0010347907530762. Acesso em: 30 nov. 2025.
APA
Nazaré, T. S. de, Mello, R. F. de, & Ponti, M. A. (2021). Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010347907530762
NLM
Nazaré TS de, Mello RF de, Ponti MA. Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos [Internet]. Proceedings. 2021 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0010347907530762
Vancouver
Nazaré TS de, Mello RF de, Ponti MA. Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos [Internet]. Proceedings. 2021 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0010347907530762
Trabalho de evento
A systematic mapping on the use of data mining for the face-to-face school dropout problem (2021)
Sousa, Leandro Rondado de; Carvalho, Veronica Oliveira de ; Penteado, Bruno Elias ; Affonso, Frank José
Source: Proceedings. Conference titles: International Conference on Computer Supported Education - CSEDU. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, REVISÃO SISTEMÁTICA, EVASÃO ESCOLAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUSA, Leandro Rondado de et al. A systematic mapping on the use of data mining for the face-to-face school dropout problem. 2021, Anais.. Lisboa: SciTePress, 2021. Disponível em: https://doi.org/10.5220/0010476300360047. Acesso em: 30 nov. 2025.
APA
Sousa, L. R. de, Carvalho, V. O. de, Penteado, B. E., & Affonso, F. J. (2021). A systematic mapping on the use of data mining for the face-to-face school dropout problem. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010476300360047
NLM
Sousa LR de, Carvalho VO de, Penteado BE, Affonso FJ. A systematic mapping on the use of data mining for the face-to-face school dropout problem [Internet]. Proceedings. 2021 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0010476300360047
Vancouver
Sousa LR de, Carvalho VO de, Penteado BE, Affonso FJ. A systematic mapping on the use of data mining for the face-to-face school dropout problem [Internet]. Proceedings. 2021 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0010476300360047
Trabalho de evento
Chikungunya virus inhibitor study based on molecular docking experiments (2020)
Saraiva, Aratã Andrade ; Soares, Jeferson do Nascimento ; Castro, Felipe Miranda ; Sousa, Jose Vigno Moura ; Ferreira, N. M. Fonseca ; Batista Neto, João do Espírito Santo ; Soares, Salviano ; Valente, Antônio
Source: Proceedings. Conference titles: International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC. Unidade: ICMC
Subjects: BIOINFORMÁTICA, VÍRUS CHIKUNGUNYA, FÁRMACOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SARAIVA, Aratã Andrade et al. Chikungunya virus inhibitor study based on molecular docking experiments. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0009118602000205. Acesso em: 30 nov. 2025.
APA
Saraiva, A. A., Soares, J. do N., Castro, F. M., Sousa, J. V. M., Ferreira, N. M. F., Batista Neto, J. do E. S., et al. (2020). Chikungunya virus inhibitor study based on molecular docking experiments. In Proceedings. Lisboa: SciTePress. doi:10.5220/0009118602000205
NLM
Saraiva AA, Soares J do N, Castro FM, Sousa JVM, Ferreira NMF, Batista Neto J do ES, Soares S, Valente A. Chikungunya virus inhibitor study based on molecular docking experiments [Internet]. Proceedings. 2020 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0009118602000205
Vancouver
Saraiva AA, Soares J do N, Castro FM, Sousa JVM, Ferreira NMF, Batista Neto J do ES, Soares S, Valente A. Chikungunya virus inhibitor study based on molecular docking experiments [Internet]. Proceedings. 2020 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0009118602000205

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