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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
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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: 18 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. 18 ] 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. 18 ] 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
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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: 18 nov. 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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.1109/TechDebt66644.2025.00009
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
Source: Proceedings. Conference titles: Extended Semantic Web Conference - ESWC. Unidade: ICMC
Subjects: 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: 18 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. 18 ] 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. 18 ] Available from: https://ceur-ws.org/Vol-4020/BiKE_Paper_ID_1.pdf
Trabalho de evento
KluSIM: speeding up k-medoids clustering over dimensional data with metric access method (2024)
Teixeira, Larissa Roberta ; Eleutério, Igor Alberte Rodrigues ; Cazzolato, Mirela Teixeira ; Gutierrez, Marco Antonio ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS
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ABNT
TEIXEIRA, Larissa Roberta et al. KluSIM: speeding up k-medoids clustering over dimensional data with metric access method. 2024, Anais.. Setúbal: SciTePress, 2024. Disponível em: https://doi.org/10.5220/0012599900003690. Acesso em: 18 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. 18 ] 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. 18 ] Available from: https://doi.org/10.5220/0012599900003690
Trabalho de evento
iRisk: a scalable microservice for classifying issue risks based on crowdsourced App reviews (2024)
Lima, Vitor Mesaque Alves de ; Barbosa, Jacson Rodrigues ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: IEEE International Conference on Software Maintenance and Evolution - ICSME. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, ENGENHARIA DE SOFTWARE, APLICATIVOS MÓVEIS
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ABNT
LIMA, Vitor Mesaque Alves de e BARBOSA, Jacson Rodrigues e MARCACINI, Ricardo Marcondes. iRisk: a scalable microservice for classifying issue risks based on crowdsourced App reviews. 2024, Anais.. Los Alamitos: IEEE, 2024. Disponível em: https://doi.org/10.1109/ICSME58944.2024.00091. Acesso em: 18 nov. 2025.
APA
Lima, V. M. A. de, Barbosa, J. R., & Marcacini, R. M. (2024). iRisk: a scalable microservice for classifying issue risks based on crowdsourced App reviews. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICSME58944.2024.00091
NLM
Lima VMA de, Barbosa JR, Marcacini RM. iRisk: a scalable microservice for classifying issue risks based on crowdsourced App reviews [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/ICSME58944.2024.00091
Vancouver
Lima VMA de, Barbosa JR, Marcacini RM. iRisk: a scalable microservice for classifying issue risks based on crowdsourced App reviews [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/ICSME58944.2024.00091
Artigo de periodico
McCatch: scalable microcluster detection in dimensional and nondimensional datasets (2024)
Vinces, Braulio Valentin Sánchez ; Cordeiro, Robson Leonardo Ferreira ; Faloutsos, Christos
Source: Proceedings. Conference titles: IEEE International Conference on Data Engineering - ICDE. Unidade: ICMC
Subjects: BANCO DE DADOS, MINERAÇÃO DE DADOS, ALGORITMOS ÚTEIS E ESPECÍFICOS, RECONHECIMENTO DE PADRÕES
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ABNT
VINCES, Braulio Valentin Sánchez e CORDEIRO, Robson Leonardo Ferreira e FALOUTSOS, Christos. McCatch: scalable microcluster detection in dimensional and nondimensional datasets. Proceedings, 2024Tradução . . Disponível em: https://doi.org/10.1109/ICDE60146.2024.00116. Acesso em: 18 nov. 2025.
APA
Vinces, B. V. S., Cordeiro, R. L. F., & Faloutsos, C. (2024). McCatch: scalable microcluster detection in dimensional and nondimensional datasets. Proceedings. doi:10.1109/ICDE60146.2024.00116
NLM
Vinces BVS, Cordeiro RLF, Faloutsos C. McCatch: scalable microcluster detection in dimensional and nondimensional datasets [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/ICDE60146.2024.00116
Vancouver
Vinces BVS, Cordeiro RLF, Faloutsos C. McCatch: scalable microcluster detection in dimensional and nondimensional datasets [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/ICDE60146.2024.00116
Trabalho de evento
An analysis of brazilian journalistic coverage of complaints platforms (2024)
Fernandez, Jonathan Oliveira ; Pontes, Andrey Silva ; Rezende, Solange Oliveira ; Jacob Junior, Antonio Fernando Lavareda ; Lobato, Fábio Manoel França
Source: Proceedings. Conference titles: IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology - WI-IAT. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, NOTÍCIA
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ABNT
FERNANDEZ, Jonathan Oliveira et al. An analysis of brazilian journalistic coverage of complaints platforms. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/WI-IAT62293.2024.00079. Acesso em: 18 nov. 2025.
APA
Fernandez, J. O., Pontes, A. S., Rezende, S. O., Jacob Junior, A. F. L., & Lobato, F. M. F. (2024). An analysis of brazilian journalistic coverage of complaints platforms. In Proceedings. Piscataway: IEEE. doi:10.1109/WI-IAT62293.2024.00079
NLM
Fernandez JO, Pontes AS, Rezende SO, Jacob Junior AFL, Lobato FMF. An analysis of brazilian journalistic coverage of complaints platforms [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/WI-IAT62293.2024.00079
Vancouver
Fernandez JO, Pontes AS, Rezende SO, Jacob Junior AFL, Lobato FMF. An analysis of brazilian journalistic coverage of complaints platforms [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/WI-IAT62293.2024.00079
Trabalho de evento
Complaint analysis in fintech domain: a case study in Brazilian brokerage firms (2024)
Couto, Matheus L; Menezes, Pedro H. C; Reinhold, Olaf; Marcacini, Ricardo Marcondes ; Jacob Junior, Antonio Fernando Lavareda ; Lobato, Fábio Manoel França
Source: Proceedings. Conference titles: IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology - WI-IAT. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO
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ABNT
COUTO, Matheus L et al. Complaint analysis in fintech domain: a case study in Brazilian brokerage firms. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/WI-IAT62293.2024.00078. Acesso em: 18 nov. 2025.
APA
Couto, M. L., Menezes, P. H. C., Reinhold, O., Marcacini, R. M., Jacob Junior, A. F. L., & Lobato, F. M. F. (2024). Complaint analysis in fintech domain: a case study in Brazilian brokerage firms. In Proceedings. Piscataway: IEEE. doi:10.1109/WI-IAT62293.2024.00078
NLM
Couto ML, Menezes PHC, Reinhold O, Marcacini RM, Jacob Junior AFL, Lobato FMF. Complaint analysis in fintech domain: a case study in Brazilian brokerage firms [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/WI-IAT62293.2024.00078
Vancouver
Couto ML, Menezes PHC, Reinhold O, Marcacini RM, Jacob Junior AFL, Lobato FMF. Complaint analysis in fintech domain: a case study in Brazilian brokerage firms [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/WI-IAT62293.2024.00078
Trabalho de evento
Monitoring temporal dynamics of issues in crowdsourced user reviews and their impact on mobile App updates (2024)
Lima, Vitor Mesaque Alves de ; Barbosa, Jacson Rodrigues ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: IEEE International Conference on Software Maintenance and Evolution - ICSME. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, ANÁLISE DE SÉRIES TEMPORAIS, ENGENHARIA DE SOFTWARE, APLICATIVOS MÓVEIS
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ABNT
LIMA, Vitor Mesaque Alves de e BARBOSA, Jacson Rodrigues e MARCACINI, Ricardo Marcondes. Monitoring temporal dynamics of issues in crowdsourced user reviews and their impact on mobile App updates. 2024, Anais.. Los Alamitos: IEEE, 2024. Disponível em: https://doi.org/10.1109/ICSME58944.2024.00064. Acesso em: 18 nov. 2025.
APA
Lima, V. M. A. de, Barbosa, J. R., & Marcacini, R. M. (2024). Monitoring temporal dynamics of issues in crowdsourced user reviews and their impact on mobile App updates. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICSME58944.2024.00064
NLM
Lima VMA de, Barbosa JR, Marcacini RM. Monitoring temporal dynamics of issues in crowdsourced user reviews and their impact on mobile App updates [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/ICSME58944.2024.00064
Vancouver
Lima VMA de, Barbosa JR, Marcacini RM. Monitoring temporal dynamics of issues in crowdsourced user reviews and their impact on mobile App updates [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/ICSME58944.2024.00064
Trabalho de evento
Towards multilevel logistic regression and cluster analysis for academic performance examination and prediction (2024)
Oliveira, Myke Morais de ; Paula, Douglas Augusto de ; Barbosa, Ellen Francine
Source: Proceedings. Conference titles: Annual Computers, Software, and Applications Conference - COMPSAC. Unidades: ICMC, FEA
Subjects: MINERAÇÃO DE DADOS, EDUCAÇÃO, VISUALIZAÇÃO
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ABNT
OLIVEIRA, Myke Morais de e PAULA, Douglas Augusto de e BARBOSA, Ellen Francine. Towards multilevel logistic regression and cluster analysis for academic performance examination and prediction. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/COMPSAC61105.2024.00020. Acesso em: 18 nov. 2025.
APA
Oliveira, M. M. de, Paula, D. A. de, & Barbosa, E. F. (2024). Towards multilevel logistic regression and cluster analysis for academic performance examination and prediction. In Proceedings. Piscataway: IEEE. doi:10.1109/COMPSAC61105.2024.00020
NLM
Oliveira MM de, Paula DA de, Barbosa EF. Towards multilevel logistic regression and cluster analysis for academic performance examination and prediction [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/COMPSAC61105.2024.00020
Vancouver
Oliveira MM de, Paula DA de, Barbosa EF. Towards multilevel logistic regression and cluster analysis for academic performance examination and prediction [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/COMPSAC61105.2024.00020
Trabalho de evento
Semi-supervised coarsening of bipartite graphs for text classification via graph neural network (2024)
Santos, Nícolas Roque dos ; Minatel, Diego ; Valejo, Alan Demetrius Baria ; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: IEEE International Conference on Data Science and Advanced Analytics - DSAA. Unidade: ICMC
Subjects: REDES NEURAIS, MINERAÇÃO DE DADOS
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ABNT
SANTOS, Nícolas Roque dos et al. Semi-supervised coarsening of bipartite graphs for text classification via graph neural network. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/DSAA61799.2024.10722822. Acesso em: 18 nov. 2025.
APA
Santos, N. R. dos, Minatel, D., Valejo, A. D. B., & Lopes, A. de A. (2024). Semi-supervised coarsening of bipartite graphs for text classification via graph neural network. In Proceedings. Piscataway: IEEE. doi:10.1109/DSAA61799.2024.10722822
NLM
Santos NR dos, Minatel D, Valejo ADB, Lopes A de A. Semi-supervised coarsening of bipartite graphs for text classification via graph neural network [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/DSAA61799.2024.10722822
Vancouver
Santos NR dos, Minatel D, Valejo ADB, Lopes A de A. Semi-supervised coarsening of bipartite graphs for text classification via graph neural network [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/DSAA61799.2024.10722822
Trabalho de evento
Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution (2024)
Lima, Vitor Mesaque Alves de ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: Brazilian Symposium on Software Quality - SBQS. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, APRENDIZADO COMPUTACIONAL, ENGENHARIA DE SOFTWARE, APLICATIVOS MÓVEIS
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ABNT
LIMA, Vitor Mesaque Alves de e MARCACINI, Ricardo Marcondes. Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution. 2024, Anais.. New York: ACM, 2024. Disponível em: https://doi.org/10.1145/3701625.3701700. Acesso em: 18 nov. 2025.
APA
Lima, V. M. A. de, & Marcacini, R. M. (2024). Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution. In Proceedings. New York: ACM. doi:10.1145/3701625.3701700
NLM
Lima VMA de, Marcacini RM. Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1145/3701625.3701700
Vancouver
Lima VMA de, Marcacini RM. Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution [Internet]. Proceedings. 2024 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1145/3701625.3701700
Trabalho de evento
The strength of influence ties in stock networks: empirical analysis for portfolio selection (2023)
Ambiel, Thiago ; Castilho, Douglas; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: IEEE International Conference on Data Mining Workshops - ICDMW. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS, REDES COMPLEXAS, MERCADO FINANCEIRO
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ABNT
AMBIEL, Thiago e CASTILHO, Douglas e CARVALHO, André Carlos Ponce de Leon Ferreira de. The strength of influence ties in stock networks: empirical analysis for portfolio selection. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICDMW60847.2023.00066. Acesso em: 18 nov. 2025.
APA
Ambiel, T., Castilho, D., & Carvalho, A. C. P. de L. F. de. (2023). The strength of influence ties in stock networks: empirical analysis for portfolio selection. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICDMW60847.2023.00066
NLM
Ambiel T, Castilho D, Carvalho ACP de LF de. The strength of influence ties in stock networks: empirical analysis for portfolio selection [Internet]. Proceedings. 2023 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/ICDMW60847.2023.00066
Vancouver
Ambiel T, Castilho D, Carvalho ACP de LF de. The strength of influence ties in stock networks: empirical analysis for portfolio selection [Internet]. Proceedings. 2023 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/ICDMW60847.2023.00066
Trabalho de evento
CallMine: fraud detection and visualization of million-scale call graphs (2023)
Cazzolato, Mirela Teixeira ; Vijayakumar, Saranya ; Lee, Meng-Chieh; Vajiac, Catalina; Park, Namyong ; Fidalgo, Pedro; Traina, Agma Juci Machado ; Faloutsos, Christos
Source: Proceedings. Conference titles: ACM International Conference on Information and Knowledge Management - CIKM. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, MINERAÇÃO DE DADOS, VISUALIZAÇÃO, FRAUDE BANCÁRIA
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ABNT
CAZZOLATO, Mirela Teixeira et al. CallMine: fraud detection and visualization of million-scale call graphs. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3583780.3614662. Acesso em: 18 nov. 2025.
APA
Cazzolato, M. T., Vijayakumar, S., Lee, M. -C., Vajiac, C., Park, N., Fidalgo, P., et al. (2023). CallMine: fraud detection and visualization of million-scale call graphs. In Proceedings. New York: ACM. doi:10.1145/3583780.3614662
NLM
Cazzolato MT, Vijayakumar S, Lee M-C, Vajiac C, Park N, Fidalgo P, Traina AJM, Faloutsos C. CallMine: fraud detection and visualization of million-scale call graphs [Internet]. Proceedings. 2023 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1145/3583780.3614662
Vancouver
Cazzolato MT, Vijayakumar S, Lee M-C, Vajiac C, Park N, Fidalgo P, Traina AJM, Faloutsos C. CallMine: fraud detection and visualization of million-scale call graphs [Internet]. Proceedings. 2023 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1145/3583780.3614662
Trabalho de evento
NatUKE: a benchmark for natural product knowledge extraction from academic literature (2023)
Carmo, Paulo Viviurka do ; Marx, Edgard ; Marcacini, Ricardo Marcondes ; Valli, Marilia ; Silva-Silva, João Victor ; Pilon, Alan
Source: Proceedings. Conference titles: IEEE International Conference on Semantic Computing - ICSC. Unidades: ICMC, IFSC, FCFRP
Subjects: DESCOBERTA DE CONHECIMENTO, MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL, BENCHMARKS, PRODUTOS NATURAIS
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ABNT
CARMO, Paulo Viviurka do et al. NatUKE: a benchmark for natural product knowledge extraction from academic literature. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICSC56153.2023.00039. Acesso em: 18 nov. 2025.
APA
Carmo, P. V. do, Marx, E., Marcacini, R. M., Valli, M., Silva-Silva, J. V., & Pilon, A. (2023). NatUKE: a benchmark for natural product knowledge extraction from academic literature. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICSC56153.2023.00039
NLM
Carmo PV do, Marx E, Marcacini RM, Valli M, Silva-Silva JV, Pilon A. NatUKE: a benchmark for natural product knowledge extraction from academic literature [Internet]. Proceedings. 2023 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/ICSC56153.2023.00039
Vancouver
Carmo PV do, Marx E, Marcacini RM, Valli M, Silva-Silva JV, Pilon A. NatUKE: a benchmark for natural product knowledge extraction from academic literature [Internet]. Proceedings. 2023 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/ICSC56153.2023.00039
Trabalho de evento
MApp-IDEA: monitoring app for issue detection and prioritization (2023)
Lima, Vitor Mesaque Alves de ; Barbosa, Jacson Rodrigues ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: Brazilian Symposium on Software Engineering - SBES. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL, APLICATIVOS MÓVEIS, ANÁLISE DE TEXTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Vitor Mesaque Alves de e BARBOSA, Jacson Rodrigues e MARCACINI, Ricardo Marcondes. MApp-IDEA: monitoring app for issue detection and prioritization. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3613372.3613417. Acesso em: 18 nov. 2025.
APA
Lima, V. M. A. de, Barbosa, J. R., & Marcacini, R. M. (2023). MApp-IDEA: monitoring app for issue detection and prioritization. In Proceedings. New York: ACM. doi:10.1145/3613372.3613417
NLM
Lima VMA de, Barbosa JR, Marcacini RM. MApp-IDEA: monitoring app for issue detection and prioritization [Internet]. Proceedings. 2023 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1145/3613372.3613417
Vancouver
Lima VMA de, Barbosa JR, Marcacini RM. MApp-IDEA: monitoring app for issue detection and prioritization [Internet]. Proceedings. 2023 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1145/3613372.3613417
Trabalho de evento
Multi-objective optimization of single screw polymer extrusion based on artificial intelligence (2022)
Gaspar-Cunha, António ; Monaco, Francisco José ; Sikora, Janusz ; Delbem, Alexandre Cláudio Botazzo
Source: Proceedings. Conference titles: International Conference on Processing of Composites and Nanocomposites Materials. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GASPAR-CUNHA, António et al. Multi-objective optimization of single screw polymer extrusion based on artificial intelligence. 2022, Anais.. Kosice: Technical University of Kosice, 2022. Disponível em: https://repositorio.usp.br/directbitstream/93185583-767f-4c58-825c-c64f516b40eb/3090904.pdf. Acesso em: 18 nov. 2025.
APA
Gaspar-Cunha, A., Monaco, F. J., Sikora, J., & Delbem, A. C. B. (2022). Multi-objective optimization of single screw polymer extrusion based on artificial intelligence. In Proceedings. Kosice: Technical University of Kosice. Recuperado de https://repositorio.usp.br/directbitstream/93185583-767f-4c58-825c-c64f516b40eb/3090904.pdf
NLM
Gaspar-Cunha A, Monaco FJ, Sikora J, Delbem ACB. Multi-objective optimization of single screw polymer extrusion based on artificial intelligence [Internet]. Proceedings. 2022 ;[citado 2025 nov. 18 ] Available from: https://repositorio.usp.br/directbitstream/93185583-767f-4c58-825c-c64f516b40eb/3090904.pdf
Vancouver
Gaspar-Cunha A, Monaco FJ, Sikora J, Delbem ACB. Multi-objective optimization of single screw polymer extrusion based on artificial intelligence [Internet]. Proceedings. 2022 ;[citado 2025 nov. 18 ] Available from: https://repositorio.usp.br/directbitstream/93185583-767f-4c58-825c-c64f516b40eb/3090904.pdf
Trabalho de evento
D.MCA: outlier detection with explicit micro-cluster assignments (2022)
Jiang, Shuli; Cordeiro, Robson Leonardo Ferreira ; Akoglu, Leman
Source: Proceedings. Conference titles: IEEE International Conference on Data Mining - ICDM. Unidade: ICMC
Subjects: BANCO DE DADOS, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JIANG, Shuli e CORDEIRO, Robson Leonardo Ferreira e AKOGLU, Leman. D.MCA: outlier detection with explicit micro-cluster assignments. 2022, Anais.. Los Alamitos: IEEE, 2022. Disponível em: https://doi.org/10.1109/ICDM54844.2022.00119. Acesso em: 18 nov. 2025.
APA
Jiang, S., Cordeiro, R. L. F., & Akoglu, L. (2022). D.MCA: outlier detection with explicit micro-cluster assignments. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICDM54844.2022.00119
NLM
Jiang S, Cordeiro RLF, Akoglu L. D.MCA: outlier detection with explicit micro-cluster assignments [Internet]. Proceedings. 2022 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/ICDM54844.2022.00119
Vancouver
Jiang S, Cordeiro RLF, Akoglu L. D.MCA: outlier detection with explicit micro-cluster assignments [Internet]. Proceedings. 2022 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/ICDM54844.2022.00119
Trabalho de evento
Aspect-based summarization: an approach with different levels of details to explain recommendations (2022)
Souza, Luan Soares de ; Manzato, Marcelo Garcia
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, MULTIMÍDIA INTERATIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Luan Soares de e MANZATO, Marcelo Garcia. Aspect-based summarization: an approach with different levels of details to explain recommendations. 2022, Anais.. New York: ACM, 2022. Disponível em: https://doi.org/10.1145/3539637.3557002. Acesso em: 18 nov. 2025.
APA
Souza, L. S. de, & Manzato, M. G. (2022). Aspect-based summarization: an approach with different levels of details to explain recommendations. In Proceedings. New York: ACM. doi:10.1145/3539637.3557002
NLM
Souza LS de, Manzato MG. Aspect-based summarization: an approach with different levels of details to explain recommendations [Internet]. Proceedings. 2022 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1145/3539637.3557002
Vancouver
Souza LS de, Manzato MG. Aspect-based summarization: an approach with different levels of details to explain recommendations [Internet]. Proceedings. 2022 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1145/3539637.3557002
Trabalho de evento
Application of artificial intelligence techniques in the optimization of single screw polymer extrusion (2022)
Gaspar-Cunha, António ; Delbem, Alexandre Cláudio Botazzo ; Costa, Paulo; Monaco, Francisco José
Source: Proceedings. Conference titles: Congreso de Métodos Numéricos en Ingeniería - CMN. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GASPAR-CUNHA, António et al. Application of artificial intelligence techniques in the optimization of single screw polymer extrusion. 2022, Anais.. Barcelona: SEMNI, 2022. Disponível em: https://congress.cimne.com/cmn2022/frontal/program.asp. Acesso em: 18 nov. 2025.
APA
Gaspar-Cunha, A., Delbem, A. C. B., Costa, P., & Monaco, F. J. (2022). Application of artificial intelligence techniques in the optimization of single screw polymer extrusion. In Proceedings. Barcelona: SEMNI. Recuperado de https://congress.cimne.com/cmn2022/frontal/program.asp
NLM
Gaspar-Cunha A, Delbem ACB, Costa P, Monaco FJ. Application of artificial intelligence techniques in the optimization of single screw polymer extrusion [Internet]. Proceedings. 2022 ;[citado 2025 nov. 18 ] Available from: https://congress.cimne.com/cmn2022/frontal/program.asp
Vancouver
Gaspar-Cunha A, Delbem ACB, Costa P, Monaco FJ. Application of artificial intelligence techniques in the optimization of single screw polymer extrusion [Internet]. Proceedings. 2022 ;[citado 2025 nov. 18 ] Available from: https://congress.cimne.com/cmn2022/frontal/program.asp

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