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Trabalho de evento
A divergence-based pruning approach for tree selection in continuous data streams (2025)
Santos, Danilo Rodrigues dos ; Silva, Diego Furtado
Fonte: Proceedings. Nome do evento: International Conference on Society and Information Technologies - ICSIT. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
SANTOS, Danilo Rodrigues dos e SILVA, Diego Furtado. A divergence-based pruning approach for tree selection in continuous data streams. 2025, Anais.. Winter Garden: International Institute of Informatics and Systemics - IIIS, 2025. Disponível em: https://doi.org/10.54808/ICSIT2025.01.90. Acesso em: 30 nov. 2025.
APA
Santos, D. R. dos, & Silva, D. F. (2025). A divergence-based pruning approach for tree selection in continuous data streams. In Proceedings. Winter Garden: International Institute of Informatics and Systemics - IIIS. doi:10.54808/ICSIT2025.01.90
NLM
Santos DR dos, Silva DF. A divergence-based pruning approach for tree selection in continuous data streams [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.54808/ICSIT2025.01.90
Vancouver
Santos DR dos, Silva DF. A divergence-based pruning approach for tree selection in continuous data streams [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.54808/ICSIT2025.01.90
Trabalho de evento
Enhancing random forest for continuous data streams using divergence measures to select decision trees (2025)
Santos, Danilo Rodrigues dos ; Silva, Diego Furtado
Fonte: Proceedings. Nome do evento: International Multi-Conference on Complexity, Informatics and Cybernetics - IMCIC. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
SANTOS, Danilo Rodrigues dos e SILVA, Diego Furtado. Enhancing random forest for continuous data streams using divergence measures to select decision trees. 2025, Anais.. Winter Garden: International Institute of Informatics and Systemics - IIIS, 2025. Disponível em: https://doi.org/10.54808/IMCIC2025.01.127. Acesso em: 30 nov. 2025.
APA
Santos, D. R. dos, & Silva, D. F. (2025). Enhancing random forest for continuous data streams using divergence measures to select decision trees. In Proceedings. Winter Garden: International Institute of Informatics and Systemics - IIIS. doi:10.54808/IMCIC2025.01.127
NLM
Santos DR dos, Silva DF. Enhancing random forest for continuous data streams using divergence measures to select decision trees [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.54808/IMCIC2025.01.127
Vancouver
Santos DR dos, Silva DF. Enhancing random forest for continuous data streams using divergence measures to select decision trees [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.54808/IMCIC2025.01.127
Trabalho de evento-resumo
Resolvent analysis of the atmospheric boundary layer (2025)
Freire, Lívia Souza ; Ribeiro, Mateus Paranaiba ; Araujo, Matheus Tozo de ; Souza, Leandro Franco de
Fonte: Proceedings. Nome do evento: IACM Computational Fluids Conference - CFC. Unidade: ICMC
Assuntos: DINÂMICA DOS FLUÍDOS, SIMULAÇÃO
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FREIRE, Lívia Souza et al. Resolvent analysis of the atmospheric boundary layer. 2025, Anais.. Catalunha: CIMNE, 2025. Disponível em: https://cfc2025.iacm.info/event/contribution/059ed1f9-b8b0-11ef-9e02-000c29ddfc0c. Acesso em: 30 nov. 2025.
APA
Freire, L. S., Ribeiro, M. P., Araujo, M. T. de, & Souza, L. F. de. (2025). Resolvent analysis of the atmospheric boundary layer. In Proceedings. Catalunha: CIMNE. Recuperado de https://cfc2025.iacm.info/event/contribution/059ed1f9-b8b0-11ef-9e02-000c29ddfc0c
NLM
Freire LS, Ribeiro MP, Araujo MT de, Souza LF de. Resolvent analysis of the atmospheric boundary layer [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://cfc2025.iacm.info/event/contribution/059ed1f9-b8b0-11ef-9e02-000c29ddfc0c
Vancouver
Freire LS, Ribeiro MP, Araujo MT de, Souza LF de. Resolvent analysis of the atmospheric boundary layer [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://cfc2025.iacm.info/event/contribution/059ed1f9-b8b0-11ef-9e02-000c29ddfc0c
Trabalho de evento
Not only what, but also when: understanding brazilian political comments on legislative bills over time through stance detection and topic modeling (2025)
Pinto, Matheus Henrique de Cerqueira ; Silva, Nádia Felix Felipe da ; Souza, Ellen Polliana Ramos ; Albuquerque, Hidelberg Oliveira ; Dias, Márcio de Souza ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Proceedings. Nome do evento: Annual International Conference on Digital Government Research - DG.O. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, APRENDIZADO COMPUTACIONAL, PORTUGUÊS DO BRASIL
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PINTO, Matheus Henrique de Cerqueira et al. Not only what, but also when: understanding brazilian political comments on legislative bills over time through stance detection and topic modeling. 2025, Anais.. [S.l.]: Digital Government Society - DGS, 2025. Disponível em: https://doi.org/10.59490/dgo.2025.955. Acesso em: 30 nov. 2025.
APA
Pinto, M. H. de C., Silva, N. F. F. da, Souza, E. P. R., Albuquerque, H. O., Dias, M. de S., & Carvalho, A. C. P. de L. F. de. (2025). Not only what, but also when: understanding brazilian political comments on legislative bills over time through stance detection and topic modeling. In Proceedings. [S.l.]: Digital Government Society - DGS. doi:10.59490/dgo.2025.955
NLM
Pinto MH de C, Silva NFF da, Souza EPR, Albuquerque HO, Dias M de S, Carvalho ACP de LF de. Not only what, but also when: understanding brazilian political comments on legislative bills over time through stance detection and topic modeling [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.59490/dgo.2025.955
Vancouver
Pinto MH de C, Silva NFF da, Souza EPR, Albuquerque HO, Dias M de S, Carvalho ACP de LF de. Not only what, but also when: understanding brazilian political comments on legislative bills over time through stance detection and topic modeling [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.59490/dgo.2025.955
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
Fonte: Proceedings. Nome do evento: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Assuntos: REDES NEURAIS, RECONHECIMENTO DE IMAGEM, FRACTAIS, HISTOLOGIA
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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
Fonte: Proceedings. Nome do evento: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Assuntos: HIDROLOGIA, HIDROLOGIA, PARADIGMA CIENTÍFICO, APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), COMPORTAMENTO DO CONSUMIDOR
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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
Improving U-Net with attention mechanism for medical image segmentation applications (2025)
Honorato, Eduardo Sperle ; Uchida, Mariana Aya Suzuki ; Traina, Agma Juci Machado ; Wolf, Denis Fernando
Fonte: Proceedings. Nome do evento: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Assuntos: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, REDES NEURAIS, DIAGNÓSTICO POR IMAGEM
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ABNT
HONORATO, Eduardo Sperle et al. Improving U-Net with attention mechanism for medical image segmentation applications. 2025, Anais.. Los Alamitos: IEEE, 2025. Disponível em: https://doi.org/10.1109/CBMS65348.2025.00060. Acesso em: 30 nov. 2025.
APA
Honorato, E. S., Uchida, M. A. S., Traina, A. J. M., & Wolf, D. F. (2025). Improving U-Net with attention mechanism for medical image segmentation applications. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS65348.2025.00060
NLM
Honorato ES, Uchida MAS, Traina AJM, Wolf DF. Improving U-Net with attention mechanism for medical image segmentation applications [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00060
Vancouver
Honorato ES, Uchida MAS, Traina AJM, Wolf DF. Improving U-Net with attention mechanism for medical image segmentation applications [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00060
Artigo de periodico
Integrating machine learning and data augmentation for automated texture classification in borehole image logs (2025)
Souza, André Moreira ; Cruz, Matheus Altomare ; Braga, Paola M. C; Piva, Rodrigo B ; Dias, Rodrigo A. C ; Siqueira, Paulo R; Trevizan, Willian A; Jesus, Candida M. de; Bazzarella, Camilla ; Monteiro, Rodrigo Salvador ; Bernardini, Flávia Cristina ; Fernandes, Leandro Augusto Frata ; Sousa, Elaine Parros Machado de ; Cazzolato, Mirela Teixeira ; Oliveira, Daniel de ; Bedo, Marcos Vinicius Naves
Fonte: Proceedings. Nome do evento: SPWLA Annual Logging Symposium. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, VISÃO COMPUTACIONAL, GEOLOGIA DO PETRÓLEO
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SOUZA, André Moreira et al. Integrating machine learning and data augmentation for automated texture classification in borehole image logs. Proceedings, 2025Tradução . . Disponível em: https://doi.org/10.30632/SPWLA-2025-0109. Acesso em: 30 nov. 2025.
APA
Souza, A. M., Cruz, M. A., Braga, P. M. C., Piva, R. B., Dias, R. A. C., Siqueira, P. R., et al. (2025). Integrating machine learning and data augmentation for automated texture classification in borehole image logs. Proceedings. doi:10.30632/SPWLA-2025-0109
NLM
Souza AM, Cruz MA, Braga PMC, Piva RB, Dias RAC, Siqueira PR, Trevizan WA, Jesus CM de, Bazzarella C, Monteiro RS, Bernardini FC, Fernandes LAF, Sousa EPM de, Cazzolato MT, Oliveira D de, Bedo MVN. Integrating machine learning and data augmentation for automated texture classification in borehole image logs [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.30632/SPWLA-2025-0109
Vancouver
Souza AM, Cruz MA, Braga PMC, Piva RB, Dias RAC, Siqueira PR, Trevizan WA, Jesus CM de, Bazzarella C, Monteiro RS, Bernardini FC, Fernandes LAF, Sousa EPM de, Cazzolato MT, Oliveira D de, Bedo MVN. Integrating machine learning and data augmentation for automated texture classification in borehole image logs [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.30632/SPWLA-2025-0109
Trabalho de evento
A framework to develop a cost-effective charging policy for electric vehicles (2025)
Ahsan, Muhammad; Vitorino, Alex ; Souza, Fernanda Sumika Hojo de ; Rocha Filho, Geraldo Pereira ; Meneguette, Rodolfo Ipolito ; Guidoni, Daniel Ludovico
Fonte: Proceedings. Nome do evento: International Conference on Distributed Computing in Smart Systems and the Internet of Things - DCOSS-IoT. Unidade: ICMC
Assuntos: VEÍCULOS ELÉTRICOS, SISTEMAS INTELIGENTES DE TRANSPORTES, CUSTO ECONÔMICO
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ABNT
AHSAN, Muhammad et al. A framework to develop a cost-effective charging policy for electric vehicles. 2025, Anais.. Piscataway: IEEE, 2025. Disponível em: https://doi.org/10.1109/DCOSS-IoT65416.2025.00103. Acesso em: 30 nov. 2025.
APA
Ahsan, M., Vitorino, A., Souza, F. S. H. de, Rocha Filho, G. P., Meneguette, R. I., & Guidoni, D. L. (2025). A framework to develop a cost-effective charging policy for electric vehicles. In Proceedings. Piscataway: IEEE. doi:10.1109/DCOSS-IOT65416.2025.00103
NLM
Ahsan M, Vitorino A, Souza FSH de, Rocha Filho GP, Meneguette RI, Guidoni DL. A framework to develop a cost-effective charging policy for electric vehicles [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/DCOSS-IoT65416.2025.00103
Vancouver
Ahsan M, Vitorino A, Souza FSH de, Rocha Filho GP, Meneguette RI, Guidoni DL. A framework to develop a cost-effective charging policy for electric vehicles [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/DCOSS-IoT65416.2025.00103
Trabalho de evento
Explainable NLLP: advancements in explainable AI for natural legal language processing (2025)
Resck, Lucas ; Moreno-Vera, Felipe ; Veiga, Tobias; Paucar, Gerardo; Fajreldines, Ezequiel ; Klafke, Guilherme ; Nonato, Luis Gustavo ; Poco, Jorge
Fonte: Proceedings. Nome do evento: Workshop on Automated Semantic Analysis of Information in Legal Text - ASAIL. Unidade: ICMC
Assuntos: INTELIGÊNCIA ARTIFICIAL, DIREITO, PROCESSAMENTO DE LINGUAGEM NATURAL, PESQUISA
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RESCK, Lucas et al. Explainable NLLP: advancements in explainable AI for natural legal language processing. 2025, Anais.. Harvard: IAAIL, 2025. Disponível em: https://visualdslab.com/papers/ExplainableNLLP. Acesso em: 30 nov. 2025.
APA
Resck, L., Moreno-Vera, F., Veiga, T., Paucar, G., Fajreldines, E., Klafke, G., et al. (2025). Explainable NLLP: advancements in explainable AI for natural legal language processing. In Proceedings. Harvard: IAAIL. Recuperado de https://visualdslab.com/papers/ExplainableNLLP
NLM
Resck L, Moreno-Vera F, Veiga T, Paucar G, Fajreldines E, Klafke G, Nonato LG, Poco J. Explainable NLLP: advancements in explainable AI for natural legal language processing [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://visualdslab.com/papers/ExplainableNLLP
Vancouver
Resck L, Moreno-Vera F, Veiga T, Paucar G, Fajreldines E, Klafke G, Nonato LG, Poco J. Explainable NLLP: advancements in explainable AI for natural legal language processing [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://visualdslab.com/papers/ExplainableNLLP
Trabalho de evento
Opportunities and challenges for management and governance in smart cities in Brazil (2025)
Paseto, Luísa ; Corso, Márcia Regina Martins Martinez ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Proceedings. Nome do evento: Annual International Conference on Digital Government Research - DG.O. Unidade: ICMC
Assuntos: INTELIGÊNCIA ARTIFICIAL, CIDADES INTELIGENTES, GOVERNANÇA, POLÍTICAS PÚBLICAS
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ABNT
PASETO, Luísa e CORSO, Márcia Regina Martins Martinez e CARVALHO, André Carlos Ponce de Leon Ferreira de. Opportunities and challenges for management and governance in smart cities in Brazil. 2025, Anais.. [S.l.]: Digital Government Society - DGS, 2025. Disponível em: https://doi.org/10.59490/dgo.2025.1014. Acesso em: 30 nov. 2025.
APA
Paseto, L., Corso, M. R. M. M., & Carvalho, A. C. P. de L. F. de. (2025). Opportunities and challenges for management and governance in smart cities in Brazil. In Proceedings. [S.l.]: Digital Government Society - DGS. doi:10.59490/dgo.2025.1014
NLM
Paseto L, Corso MRMM, Carvalho ACP de LF de. Opportunities and challenges for management and governance in smart cities in Brazil [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.59490/dgo.2025.1014
Vancouver
Paseto L, Corso MRMM, Carvalho ACP de LF de. Opportunities and challenges for management and governance in smart cities in Brazil [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.59490/dgo.2025.1014
Trabalho de evento
MuPe Life Stories Dataset: spontaneous speech in brazilian portuguese with a case study evaluation on ASR bias against speakers groups and topic modeling (2025)
Leal, Sidney Evaldo ; Candido Junior, Arnaldo ; Marcacini, Ricardo Marcondes ; Casanova, Edresson ; Gonçalves, Odilon; Soares, Anderson; Lima, Rodrigo; Gris, Lucas; Aluísio, Sandra Maria
Fonte: Proceedings. Nome do evento: International Conference on Computational Linguistics - COLING. Unidade: ICMC
Assuntos: RECONHECIMENTO DA FALA, PORTUGUÊS DO BRASIL
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ABNT
LEAL, Sidney Evaldo et al. MuPe Life Stories Dataset: spontaneous speech in brazilian portuguese with a case study evaluation on ASR bias against speakers groups and topic modeling. 2025, Anais.. Stroudsburg: ACL, 2025. Disponível em: https://aclanthology.org/2025.coling-main.407/. Acesso em: 30 nov. 2025.
APA
Leal, S. E., Candido Junior, A., Marcacini, R. M., Casanova, E., Gonçalves, O., Soares, A., et al. (2025). MuPe Life Stories Dataset: spontaneous speech in brazilian portuguese with a case study evaluation on ASR bias against speakers groups and topic modeling. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2025.coling-main.407/
NLM
Leal SE, Candido Junior A, Marcacini RM, Casanova E, Gonçalves O, Soares A, Lima R, Gris L, Aluísio SM. MuPe Life Stories Dataset: spontaneous speech in brazilian portuguese with a case study evaluation on ASR bias against speakers groups and topic modeling [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://aclanthology.org/2025.coling-main.407/
Vancouver
Leal SE, Candido Junior A, Marcacini RM, Casanova E, Gonçalves O, Soares A, Lima R, Gris L, Aluísio SM. MuPe Life Stories Dataset: spontaneous speech in brazilian portuguese with a case study evaluation on ASR bias against speakers groups and topic modeling [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://aclanthology.org/2025.coling-main.407/
Trabalho de evento
Inductive models for structured output prediction of lncRNA-disease associations (2025)
Nakano, Felipe Kenji ; Bertoni, Livia; Cerri, Ricardo ; Vens, Celine
Fonte: Proceedings. Nome do evento: IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology - CIBCB. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, COMPUTAÇÃO EVOLUTIVA
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NAKANO, Felipe Kenji et al. Inductive models for structured output prediction of lncRNA-disease associations. 2025, Anais.. Piscataway: IEEE, 2025. Disponível em: https://doi.org/10.1109/CIBCB66090.2025.11177093. Acesso em: 30 nov. 2025.
APA
Nakano, F. K., Bertoni, L., Cerri, R., & Vens, C. (2025). Inductive models for structured output prediction of lncRNA-disease associations. In Proceedings. Piscataway: IEEE. doi:10.1109/CIBCB66090.2025.11177093
NLM
Nakano FK, Bertoni L, Cerri R, Vens C. Inductive models for structured output prediction of lncRNA-disease associations [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/CIBCB66090.2025.11177093
Vancouver
Nakano FK, Bertoni L, Cerri R, Vens C. Inductive models for structured output prediction of lncRNA-disease associations [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/CIBCB66090.2025.11177093
Trabalho de evento
Six-layer industrial architecture applied to predictive maintenance (2025)
Guidotti, Fernanda Pereira ; Arantes, Jesimar da Silva ; Arantes, Márcio da Silva ; Bedoya, Albeiro Espinosa ; Toledo, Claudio Fabiano Motta
Fonte: Proceedings. Nome do evento: International Conference on Software Technologies - ICSOFT. Unidade: ICMC
Assuntos: INTELIGÊNCIA ARTIFICIAL, INDÚSTRIA 4.0, APRENDIZADO COMPUTACIONAL, ANÁLISE DE DADOS
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ABNT
GUIDOTTI, Fernanda Pereira et al. Six-layer industrial architecture applied to predictive maintenance. 2025, Anais.. Setúbal: SCItTEPRESS, 2025. Disponível em: https://doi.org/10.5220/0012767000003753. Acesso em: 30 nov. 2025.
APA
Guidotti, F. P., Arantes, J. da S., Arantes, M. da S., Bedoya, A. E., & Toledo, C. F. M. (2025). Six-layer industrial architecture applied to predictive maintenance. In Proceedings. Setúbal: SCItTEPRESS. doi:10.5220/0012767000003753
NLM
Guidotti FP, Arantes J da S, Arantes M da S, Bedoya AE, Toledo CFM. Six-layer industrial architecture applied to predictive maintenance [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0012767000003753
Vancouver
Guidotti FP, Arantes J da S, Arantes M da S, Bedoya AE, Toledo CFM. Six-layer industrial architecture applied to predictive maintenance [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0012767000003753
Trabalho de evento
Computer assisted analysis of acrosomal status in sperm cells using inverted fluorescence microscopy and computational intelligence for biotechnology applications (2025)
Ortiz, Yuliana López; Castillo, Katherine Diaz; Muñoz, Julían Antonio Villamarín ; Spatti, Danilo Hernane
Fonte: Proceedings. Nome do evento: Symposium of Image, Signal Processing, and Artificial Vision - STSIVA. Unidade: ICMC
Assuntos: APRENDIZAGEM PROFUNDA, APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, ESPERMATOZOIDES ANIMAL
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ABNT
ORTIZ, Yuliana López et al. Computer assisted analysis of acrosomal status in sperm cells using inverted fluorescence microscopy and computational intelligence for biotechnology applications. 2025, Anais.. Piscataway: IEEE, 2025. Disponível em: https://doi.org/10.1109/STSIVA66383.2025.11156651. Acesso em: 30 nov. 2025.
APA
Ortiz, Y. L., Castillo, K. D., Muñoz, J. A. V., & Spatti, D. H. (2025). Computer assisted analysis of acrosomal status in sperm cells using inverted fluorescence microscopy and computational intelligence for biotechnology applications. In Proceedings. Piscataway: IEEE. doi:10.1109/STSIVA66383.2025.11156651
NLM
Ortiz YL, Castillo KD, Muñoz JAV, Spatti DH. Computer assisted analysis of acrosomal status in sperm cells using inverted fluorescence microscopy and computational intelligence for biotechnology applications [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/STSIVA66383.2025.11156651
Vancouver
Ortiz YL, Castillo KD, Muñoz JAV, Spatti DH. Computer assisted analysis of acrosomal status in sperm cells using inverted fluorescence microscopy and computational intelligence for biotechnology applications [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/STSIVA66383.2025.11156651
Trabalho de evento
Robotic visual attention architecture for ADAS in critical embedded systems for smart vehicles (2025)
Bruno, Diego Renan ; Martins, William D’Abruzzo ; Berri, Rafael Alceste ; Osório, Fernando Santos
Fonte: Proceedings. Nome do evento: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: ICMC
Assuntos: VISÃO COMPUTACIONAL, VEÍCULOS AUTÔNOMOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRUNO, Diego Renan et al. Robotic visual attention architecture for ADAS in critical embedded systems for smart vehicles. 2025, Anais.. Setúbal: SCITEPRESS, 2025. Disponível em: https://doi.org/10.5220/0013362600003912. Acesso em: 30 nov. 2025.
APA
Bruno, D. R., Martins, W. D. ’A., Berri, R. A., & Osório, F. S. (2025). Robotic visual attention architecture for ADAS in critical embedded systems for smart vehicles. In Proceedings. Setúbal: SCITEPRESS. doi:10.5220/0013362600003912
NLM
Bruno DR, Martins WD’A, Berri RA, Osório FS. Robotic visual attention architecture for ADAS in critical embedded systems for smart vehicles [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0013362600003912
Vancouver
Bruno DR, Martins WD’A, Berri RA, Osório FS. Robotic visual attention architecture for ADAS in critical embedded systems for smart vehicles [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.5220/0013362600003912
Trabalho de evento
What is new when talking about sustainable software architectures? (2025)
Kazman, Rick; Nakagawa, Elisa Yumi
Fonte: Proceedings. Nome do evento: IEEE/ACM International Workshop on Designing Software. Unidade: ICMC
Assuntos: ARQUITETURA DE SOFTWARE, SUSTENTABILIDADE, REVISÃO SISTEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KAZMAN, Rick e NAKAGAWA, Elisa Yumi. What is new when talking about sustainable software architectures? 2025, Anais.. Piscataway: IEEE, 2025. Disponível em: https://doi.org/10.1109/Designing66910.2025.00011. Acesso em: 30 nov. 2025.
APA
Kazman, R., & Nakagawa, E. Y. (2025). What is new when talking about sustainable software architectures? In Proceedings. Piscataway: IEEE. doi:10.1109/DESIGNING66910.2025.00011
NLM
Kazman R, Nakagawa EY. What is new when talking about sustainable software architectures? [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/Designing66910.2025.00011
Vancouver
Kazman R, Nakagawa EY. What is new when talking about sustainable software architectures? [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1109/Designing66910.2025.00011
Artigo de periodico
Evolutionary boss improvement in doom (2025)
Rocha, Pedro Regattieri; Pereira, Leonardo Tórtoro; Toledo, Claudio Fabiano Motta
Fonte: Proceedings. Nome do evento: Genetic and Evolutionary Computation Conference Companion - GECCO. Unidade: ICMC
Assuntos: JOGOS, ALGORITMOS GENÉTICOS, HEURÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA, Pedro Regattieri e PEREIRA, Leonardo Tórtoro e TOLEDO, Claudio Fabiano Motta. Evolutionary boss improvement in doom. Proceedings, 2025Tradução . . Disponível em: https://doi.org/10.1145/3712255.3726718. Acesso em: 30 nov. 2025.
APA
Rocha, P. R., Pereira, L. T., & Toledo, C. F. M. (2025). Evolutionary boss improvement in doom. Proceedings. doi:10.1145/3712255.3726718
NLM
Rocha PR, Pereira LT, Toledo CFM. Evolutionary boss improvement in doom [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1145/3712255.3726718
Vancouver
Rocha PR, Pereira LT, Toledo CFM. Evolutionary boss improvement in doom [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1145/3712255.3726718
Trabalho de evento
Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models (2025)
Carmo, Paulo Viviurka do ; Gôlo, Marcos Paulo Silva ; Gwozdz, Jonas ; Marx, Edgard ; Marcacini, Ricardo Marcondes
Fonte: Proceedings. Nome do evento: ACM/SIGAPP Symposium on Applied Computing. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, DESCOBERTA DE CONHECIMENTO, TEORIA DOS GRAFOS, PRODUTOS NATURAIS, FÁRMACOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARMO, Paulo Viviurka do et al. Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models. 2025, Anais.. New York: ACM, 2025. Disponível em: https://doi.org/10.1145/3672608.3707858. Acesso em: 30 nov. 2025.
APA
Carmo, P. V. do, Gôlo, M. P. S., Gwozdz, J., Marx, E., & Marcacini, R. M. (2025). Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models. In Proceedings. New York: ACM. doi:10.1145/3672608.3707858
NLM
Carmo PV do, Gôlo MPS, Gwozdz J, Marx E, Marcacini RM. Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1145/3672608.3707858
Vancouver
Carmo PV do, Gôlo MPS, Gwozdz J, Marx E, Marcacini RM. Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models [Internet]. Proceedings. 2025 ;[citado 2025 nov. 30 ] Available from: https://doi.org/10.1145/3672608.3707858
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
Fonte: Proceedings. Nome do evento: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Assuntos: 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

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