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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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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: 29 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. 29 ] 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. 29 ] 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: 29 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. 29 ] 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. 29 ] Available from: https://doi.org/10.54808/IMCIC2025.01.127
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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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: 29 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. 29 ] 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. 29 ] 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: 29 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. 29 ] 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. 29 ] Available from: https://doi.org/10.30632/SPWLA-2025-0109
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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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: 29 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. 29 ] 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. 29 ] 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: 29 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. 29 ] 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. 29 ] Available from: https://doi.org/10.1109/CIBCB66090.2025.11177093
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
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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: 29 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. 29 ] 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. 29 ] Available from: https://doi.org/10.1145/3672608.3707858
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
Fonte: Proceedings. Nome do evento: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidades: FM, ICMC, FFCLRP
Assuntos: MINERAÇÃO DE DADOS, PROCESSAMENTO DE LINGUAGEM NATURAL, TEORIA DOS GRAFOS, SISTEMAS COMPUTADORIZADOS DE REGISTROS MÉDICOS, VISUALIZAÇÃO
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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: 29 nov. 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 nov. 29 ] 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 nov. 29 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00156
Trabalho de evento
Extending enhanced Universal Dependencies: addressing subjects in pro-drop languages (2025)
Duran, Magali Sanches ; Souza, Elvis de ; Nunes, Maria das Graças Volpe ; Pagano, Adriana Silvina ; Pardo, Thiago Alexandre Salgueiro
Fonte: Proceedings. Nome do evento: SyntaxFest. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA COMPUTACIONAL, SINTAXE E SEMÂNTICA DA LINGUAGEM NATURAL
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ABNT
DURAN, Magali Sanches et al. Extending enhanced Universal Dependencies: addressing subjects in pro-drop languages. 2025, Anais.. Kerrville: Association for Computational Linguistics - ACL, 2025. Disponível em: https://aclanthology.org/2025.udw-1.16/. Acesso em: 29 nov. 2025.
APA
Duran, M. S., Souza, E. de, Nunes, M. das G. V., Pagano, A. S., & Pardo, T. A. S. (2025). Extending enhanced Universal Dependencies: addressing subjects in pro-drop languages. In Proceedings. Kerrville: Association for Computational Linguistics - ACL. Recuperado de https://aclanthology.org/2025.udw-1.16/
NLM
Duran MS, Souza E de, Nunes M das GV, Pagano AS, Pardo TAS. Extending enhanced Universal Dependencies: addressing subjects in pro-drop languages [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://aclanthology.org/2025.udw-1.16/
Vancouver
Duran MS, Souza E de, Nunes M das GV, Pagano AS, Pardo TAS. Extending enhanced Universal Dependencies: addressing subjects in pro-drop languages [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://aclanthology.org/2025.udw-1.16/
Trabalho de evento
Towards personality-aware explanations for music recommendations using generative AI (2025)
Alves, Gabrielle Aparecida Pires ; Jannach, Dietmar ; Souza, Luan Soares de ; Manzato, Marcelo Garcia
Fonte: Proceedings. Nome do evento: ACM Conference on Recommender Systems - RecSys. Unidade: ICMC
Assuntos: SISTEMAS DE RECOMENDAÇÃO, PROCESSAMENTO DE LINGUAGEM NATURAL, MÚSICA
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ALVES, Gabrielle Aparecida Pires et al. Towards personality-aware explanations for music recommendations using generative AI. 2025, Anais.. New York: ACM, 2025. Disponível em: https://doi.org/10.1145/3705328.3748032. Acesso em: 29 nov. 2025.
APA
Alves, G. A. P., Jannach, D., Souza, L. S. de, & Manzato, M. G. (2025). Towards personality-aware explanations for music recommendations using generative AI. In Proceedings. New York: ACM. doi:10.1145/3705328.3748032
NLM
Alves GAP, Jannach D, Souza LS de, Manzato MG. Towards personality-aware explanations for music recommendations using generative AI [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1145/3705328.3748032
Vancouver
Alves GAP, Jannach D, Souza LS de, Manzato MG. Towards personality-aware explanations for music recommendations using generative AI [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1145/3705328.3748032
Trabalho de evento
Grammar-based evolutionary approaches for software effort estimation (2025)
Basgalupp, Márcio Porto ; Barros, Rodrigo Coelho ; Cerri, Ricardo ; Neri, Ferrante ; Miranda, Péricles ; Ludermir, Teresa
Fonte: Proceedings. Nome do evento: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Assuntos: ALGORITMOS GENÉTICOS, APRENDIZADO COMPUTACIONAL
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ABNT
BASGALUPP, Márcio Porto et al. Grammar-based evolutionary approaches for software effort estimation. 2025, Anais.. Piscataway: IEEE, 2025. Disponível em: https://doi.org/10.1109/CEC65147.2025.11042977. Acesso em: 29 nov. 2025.
APA
Basgalupp, M. P., Barros, R. C., Cerri, R., Neri, F., Miranda, P., & Ludermir, T. (2025). Grammar-based evolutionary approaches for software effort estimation. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC65147.2025.11042977
NLM
Basgalupp MP, Barros RC, Cerri R, Neri F, Miranda P, Ludermir T. Grammar-based evolutionary approaches for software effort estimation [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/CEC65147.2025.11042977
Vancouver
Basgalupp MP, Barros RC, Cerri R, Neri F, Miranda P, Ludermir T. Grammar-based evolutionary approaches for software effort estimation [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/CEC65147.2025.11042977
Trabalho de evento
FairMed-FL: federated learning for fair and unbiased deep learning in medical imaging (2025)
Carmo, Êrica Peters do ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Fonte: Proceedings. Nome do evento: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Assuntos: APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR IMAGEM
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CARMO, Êrica Peters do e TRAINA JUNIOR, Caetano e TRAINA, Agma Juci Machado. FairMed-FL: federated learning for fair and unbiased deep learning in medical imaging. 2025, Anais.. Los Alamitos: IEEE, 2025. Disponível em: https://doi.org/10.1109/CBMS65348.2025.00158. Acesso em: 29 nov. 2025.
APA
Carmo, Ê. P. do, Traina Junior, C., & Traina, A. J. M. (2025). FairMed-FL: federated learning for fair and unbiased deep learning in medical imaging. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS65348.2025.00158
NLM
Carmo ÊP do, Traina Junior C, Traina AJM. FairMed-FL: federated learning for fair and unbiased deep learning in medical imaging [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00158
Vancouver
Carmo ÊP do, Traina Junior C, Traina AJM. FairMed-FL: federated learning for fair and unbiased deep learning in medical imaging [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00158
Trabalho de evento
ICU-TSB: a benchmark for temporal patient representation learning for unsupervised stratification into patient cohorts (2025)
Proios, Dimitrios ; Bornet, Alban ; Yazdani, Anthony ; Rodrigues Junior, José Fernando ; Teodoro, Douglas
Fonte: Proceedings. Nome do evento: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, BENCHMARKS, SISTEMAS COMPUTADORIZADOS DE REGISTROS MÉDICOS, UNIDADES DE TERAPIA INTENSIVA
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ABNT
PROIOS, Dimitrios et al. ICU-TSB: a benchmark for temporal patient representation learning for unsupervised stratification into patient cohorts. 2025, Anais.. Los Alamitos: IEEE, 2025. Disponível em: https://doi.org/10.1109/CBMS65348.2025.00022. Acesso em: 29 nov. 2025.
APA
Proios, D., Bornet, A., Yazdani, A., Rodrigues Junior, J. F., & Teodoro, D. (2025). ICU-TSB: a benchmark for temporal patient representation learning for unsupervised stratification into patient cohorts. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS65348.2025.00022
NLM
Proios D, Bornet A, Yazdani A, Rodrigues Junior JF, Teodoro D. ICU-TSB: a benchmark for temporal patient representation learning for unsupervised stratification into patient cohorts [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00022
Vancouver
Proios D, Bornet A, Yazdani A, Rodrigues Junior JF, Teodoro D. ICU-TSB: a benchmark for temporal patient representation learning for unsupervised stratification into patient cohorts [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00022
Trabalho de evento
Large language models ensemble for biochemical properties detection in scientific articles (2025)
Gôlo, Marcos Paulo Silva ; Medeiros Júnior, José Gilberto Barbosa de ; Vilas Boas, Gabriele Souza; Lobato, Fábio Manoel França ; Silva, Diego Furtado ; Marcacini, Ricardo Marcondes
Fonte: Proceedings. Nome do evento: Extended Semantic Web Conference - ESWC. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, MINERAÇÃO DE DADOS, DESCOBERTA DE CONHECIMENTO, APRENDIZADO COMPUTACIONAL, FÁRMACOS, PRODUTOS NATURAIS
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ABNT
GÔLO, Marcos Paulo Silva et al. Large language models ensemble for biochemical properties detection in scientific articles. 2025, Anais.. Aachen: CEUR-WS, 2025. Disponível em: https://ceur-ws.org/Vol-4020/BiKE_Paper_ID_1.pdf. Acesso em: 29 nov. 2025.
APA
Gôlo, M. P. S., Medeiros Júnior, J. G. B. de, Vilas Boas, G. S., Lobato, F. M. F., Silva, D. F., & Marcacini, R. M. (2025). Large language models ensemble for biochemical properties detection in scientific articles. In Proceedings. Aachen: CEUR-WS. Recuperado de https://ceur-ws.org/Vol-4020/BiKE_Paper_ID_1.pdf
NLM
Gôlo MPS, Medeiros Júnior JGB de, Vilas Boas GS, Lobato FMF, Silva DF, Marcacini RM. Large language models ensemble for biochemical properties detection in scientific articles [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://ceur-ws.org/Vol-4020/BiKE_Paper_ID_1.pdf
Vancouver
Gôlo MPS, Medeiros Júnior JGB de, Vilas Boas GS, Lobato FMF, Silva DF, Marcacini RM. Large language models ensemble for biochemical properties detection in scientific articles [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://ceur-ws.org/Vol-4020/BiKE_Paper_ID_1.pdf
Trabalho de evento
Jetson's view: designing trustworthy air taxi systems (2025)
Ferrão, Isadora Garcia ; Souza Filho, José Cezar; Oliveira, Káthia; Espes, David ; Dezan, Catherine ; Hamadouche, Mohand ; Belloum, Rafik ; Cunha, Bruna Carolina Rodrigues da ; Branco, Kalinka Regina Lucas Jaquie Castelo
Fonte: Proceedings. Nome do evento: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Assuntos: VEÍCULOS AUTÔNOMOS, VEÍCULOS ELÉTRICOS, VTOL, TRANSPORTE URBANO, CIDADES INTELIGENTES
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ABNT
FERRÃO, Isadora Garcia et al. Jetson's view: designing trustworthy air taxi systems. 2025, Anais.. Setúbal: SCITEPRESS, 2025. Disponível em: https://doi.org/10.5220/0013279300003929. Acesso em: 29 nov. 2025.
APA
Ferrão, I. G., Souza Filho, J. C., Oliveira, K., Espes, D., Dezan, C., Hamadouche, M., et al. (2025). Jetson's view: designing trustworthy air taxi systems. In Proceedings. Setúbal: SCITEPRESS. doi:10.5220/0013279300003929
NLM
Ferrão IG, Souza Filho JC, Oliveira K, Espes D, Dezan C, Hamadouche M, Belloum R, Cunha BCR da, Branco KRLJC. Jetson's view: designing trustworthy air taxi systems [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.5220/0013279300003929
Vancouver
Ferrão IG, Souza Filho JC, Oliveira K, Espes D, Dezan C, Hamadouche M, Belloum R, Cunha BCR da, Branco KRLJC. Jetson's view: designing trustworthy air taxi systems [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.5220/0013279300003929
Trabalho de evento
Physics-informed neural networks for vessel trajectory prediction: learning time-discretized kinematic dynamics via finite differences (2025)
Alam, Md Mahbub ; Soares, Amilcar ; Rodrigues Junior, José Fernando ; Spadon, Gabriel
Fonte: Proceedings. Nome do evento: International Symposium on Spatial and Temporal Data - SSTD. Unidade: ICMC
Assuntos: REDES NEURAIS, NAVEGAÇÃO MARÍTIMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALAM, Md Mahbub et al. Physics-informed neural networks for vessel trajectory prediction: learning time-discretized kinematic dynamics via finite differences. 2025, Anais.. New York: ACM, 2025. Disponível em: https://doi.org/10.1145/3748777.3748779. Acesso em: 29 nov. 2025.
APA
Alam, M. M., Soares, A., Rodrigues Junior, J. F., & Spadon, G. (2025). Physics-informed neural networks for vessel trajectory prediction: learning time-discretized kinematic dynamics via finite differences. In Proceedings. New York: ACM. doi:10.1145/3748777.3748779
NLM
Alam MM, Soares A, Rodrigues Junior JF, Spadon G. Physics-informed neural networks for vessel trajectory prediction: learning time-discretized kinematic dynamics via finite differences [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1145/3748777.3748779
Vancouver
Alam MM, Soares A, Rodrigues Junior JF, Spadon G. Physics-informed neural networks for vessel trajectory prediction: learning time-discretized kinematic dynamics via finite differences [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1145/3748777.3748779
Trabalho de evento
AI-driven public health surveillance: analyzing vulnerable areas in Brazil using remote sensing and socioeconomic data (2025)
Silva, João Pedro da; Aguiar, Erikson Júlio de ; Spadon, Gabriel ; Traina, Agma Juci Machado ; Rodrigues Junior, José Fernando
Fonte: Proceedings. Nome do evento: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, SENSORIAMENTO REMOTO, INDICADORES SOCIOECONÔMICOS, SAÚDE PÚBLICA, BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, João Pedro da et al. AI-driven public health surveillance: analyzing vulnerable areas in Brazil using remote sensing and socioeconomic data. 2025, Anais.. Los Alamitos: IEEE, 2025. Disponível em: https://doi.org/10.1109/CBMS65348.2025.00180. Acesso em: 29 nov. 2025.
APA
Silva, J. P. da, Aguiar, E. J. de, Spadon, G., Traina, A. J. M., & Rodrigues Junior, J. F. (2025). AI-driven public health surveillance: analyzing vulnerable areas in Brazil using remote sensing and socioeconomic data. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS65348.2025.00180
NLM
Silva JP da, Aguiar EJ de, Spadon G, Traina AJM, Rodrigues Junior JF. AI-driven public health surveillance: analyzing vulnerable areas in Brazil using remote sensing and socioeconomic data [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00180
Vancouver
Silva JP da, Aguiar EJ de, Spadon G, Traina AJM, Rodrigues Junior JF. AI-driven public health surveillance: analyzing vulnerable areas in Brazil using remote sensing and socioeconomic data [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00180
Trabalho de evento
The revision of linguistic annotation in the Universal Dependencies framework: a look at the annotators' behavior (2025)
Duran, Magali Sanches ; Lopes, Lucelene ; Pardo, Thiago Alexandre Salgueiro
Fonte: Proceedings. Nome do evento: Linguistic Annotation Workshop - LAW. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, SINTAXE E SEMÂNTICA DA LINGUAGEM NATURAL, CORPUS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DURAN, Magali Sanches e LOPES, Lucelene e PARDO, Thiago Alexandre Salgueiro. The revision of linguistic annotation in the Universal Dependencies framework: a look at the annotators' behavior. 2025, Anais.. Kerrville: Association for Computational Linguistics - ACL, 2025. Disponível em: https://aclanthology.org/2025.law-1.5/. Acesso em: 29 nov. 2025.
APA
Duran, M. S., Lopes, L., & Pardo, T. A. S. (2025). The revision of linguistic annotation in the Universal Dependencies framework: a look at the annotators' behavior. In Proceedings. Kerrville: Association for Computational Linguistics - ACL. Recuperado de https://aclanthology.org/2025.law-1.5/
NLM
Duran MS, Lopes L, Pardo TAS. The revision of linguistic annotation in the Universal Dependencies framework: a look at the annotators' behavior [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://aclanthology.org/2025.law-1.5/
Vancouver
Duran MS, Lopes L, Pardo TAS. The revision of linguistic annotation in the Universal Dependencies framework: a look at the annotators' behavior [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://aclanthology.org/2025.law-1.5/
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
Fonte: Proceedings. Nome do evento: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Assuntos: MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 29 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. 29 ] 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. 29 ] 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
Fonte: Proceedings. Nome do evento: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Assuntos: RECUPERAÇÃO DA INFORMAÇÃO, BANCO DE DADOS MULTIMÍDIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 29 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. 29 ] 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. 29 ] Available from: https://doi.org/10.5220/0012606300003690

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