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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
Source: Proceedings. Conference titles: International Conference on Society and Information Technologies - ICSIT. Unidade: ICMC
Subjects: 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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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
Source: Proceedings. Conference titles: International Multi-Conference on Complexity, Informatics and Cybernetics - IMCIC. Unidade: ICMC
Subjects: 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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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
Source: Proceedings. Conference titles: IACM Computational Fluids Conference - CFC. Unidade: ICMC
Subjects: 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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] Available from: https://cfc2025.iacm.info/event/contribution/059ed1f9-b8b0-11ef-9e02-000c29ddfc0c
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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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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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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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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: 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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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
Source: Proceedings. Conference titles: SPWLA Annual Logging Symposium. Unidade: ICMC
Subjects: 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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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
Source: Proceedings. Conference titles: International Conference on Distributed Computing in Smart Systems and the Internet of Things - DCOSS-IoT. Unidade: ICMC
Subjects: 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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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
Source: Proceedings. Conference titles: Workshop on Automated Semantic Analysis of Information in Legal Text - ASAIL. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, DIREITO, PROCESSAMENTO DE LINGUAGEM NATURAL, PESQUISA
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ABNT
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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] Available from: https://visualdslab.com/papers/ExplainableNLLP
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
Source: Proceedings. Conference titles: International Conference on Computational Linguistics - COLING. Unidade: ICMC
Subjects: 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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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
Source: Proceedings. Conference titles: IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology - CIBCB. Unidade: ICMC
Subjects: 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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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
Source: Proceedings. Conference titles: International Conference on Software Technologies - ICSOFT. Unidade: ICMC
Subjects: 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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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
Source: Proceedings. Conference titles: Symposium of Image, Signal Processing, and Artificial Vision - STSIVA. Unidade: ICMC
Subjects: 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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, VEÍCULOS AUTÔNOMOS, APRENDIZADO COMPUTACIONAL
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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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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
Source: Proceedings. Conference titles: IEEE/ACM International Workshop on Designing Software. Unidade: ICMC
Subjects: ARQUITETURA DE SOFTWARE, SUSTENTABILIDADE, REVISÃO SISTEMÁTICA
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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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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
Source: Proceedings. Conference titles: Genetic and Evolutionary Computation Conference Companion - GECCO. Unidade: ICMC
Subjects: 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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing. Unidade: ICMC
Subjects: 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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] 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
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: REDES NEURAIS, RECONHECIMENTO DE IMAGEM, FRACTAIS, HISTOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] Available from: https://doi.org/10.5220/0013280200003929
Trabalho de evento
Modeling clinical data with attention: a knowledge graph approach with CliniKG (2025)
Moura, Eduardo; Conrado, Rafael Comitre Garcia ; Campos, Leonardo de Oliveira; Olivatto, Mauro Marcel ; Gutierrez, Marco Antonio ; Traina Junior, Caetano ; Traina, Agma Juci Machado ; Cazzolato, Mirela Teixeira
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidades: FM, ICMC, FFCLRP
Subjects: MINERAÇÃO DE DADOS, PROCESSAMENTO DE LINGUAGEM NATURAL, TEORIA DOS GRAFOS, SISTEMAS COMPUTADORIZADOS DE REGISTROS MÉDICOS, VISUALIZAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOURA, Eduardo et al. Modeling clinical data with attention: a knowledge graph approach with CliniKG. 2025, Anais.. Los Alamitos: IEEE, 2025. Disponível em: https://doi.org/10.1109/CBMS65348.2025.00156. Acesso em: 01 dez. 2025.
APA
Moura, E., Conrado, R. C. G., Campos, L. de O., Olivatto, M. M., Gutierrez, M. A., Traina Junior, C., et al. (2025). Modeling clinical data with attention: a knowledge graph approach with CliniKG. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS65348.2025.00156
NLM
Moura E, Conrado RCG, Campos L de O, Olivatto MM, Gutierrez MA, Traina Junior C, Traina AJM, Cazzolato MT. Modeling clinical data with attention: a knowledge graph approach with CliniKG [Internet]. Proceedings. 2025 ;[citado 2025 dez. 01 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00156
Vancouver
Moura E, Conrado RCG, Campos L de O, Olivatto MM, Gutierrez MA, Traina Junior C, Traina AJM, Cazzolato MT. Modeling clinical data with attention: a knowledge graph approach with CliniKG [Internet]. Proceedings. 2025 ;[citado 2025 dez. 01 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00156
Artigo de periodico
Automating technical debt management: insights from practitioner discussions in stack exchange (2025)
Biazotto, João Paulo ; Feitosa, Daniel ; Avgeriou, Paris ; Nakagawa, Elisa Yumi
Source: Proceedings. Conference titles: IEEE/ACM International Conference on Technical Debt - TechDebt. Unidade: ICMC
Subjects: PROJETO DE SOFTWARE, MINERAÇÃO DE DADOS, ENGENHARIA DE SOFTWARE, ESTATÍSTICA DESCRITIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIAZOTTO, João Paulo et al. Automating technical debt management: insights from practitioner discussions in stack exchange. Proceedings, 2025Tradução . . Disponível em: https://doi.org/10.1109/TechDebt66644.2025.00009. Acesso em: 01 dez. 2025.
APA
Biazotto, J. P., Feitosa, D., Avgeriou, P., & Nakagawa, E. Y. (2025). Automating technical debt management: insights from practitioner discussions in stack exchange. Proceedings. doi:10.1109/TechDebt66644.2025.00009
NLM
Biazotto JP, Feitosa D, Avgeriou P, Nakagawa EY. Automating technical debt management: insights from practitioner discussions in stack exchange [Internet]. Proceedings. 2025 ;[citado 2025 dez. 01 ] Available from: https://doi.org/10.1109/TechDebt66644.2025.00009
Vancouver
Biazotto JP, Feitosa D, Avgeriou P, Nakagawa EY. Automating technical debt management: insights from practitioner discussions in stack exchange [Internet]. Proceedings. 2025 ;[citado 2025 dez. 01 ] Available from: https://doi.org/10.1109/TechDebt66644.2025.00009

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