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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: 01 jul. 2024.
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 2024 jul. 01 ] 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 2024 jul. 01 ] Available from: https://doi.org/10.5220/0012599900003690
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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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: 01 jul. 2024.
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 2024 jul. 01 ] 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 2024 jul. 01 ] Available from: https://doi.org/10.1145/3583780.3614662
Trabalho de evento
Towards the detection of microservice patterns based on metrics (2023)
Daniel, João ; Guerra, Eduardo Martins ; Rosa, Thatiane de Oliveira ; Goldman, Alfredo
Source: Proceedings. Conference titles: Euromicro Conference on Software Engineering and Advanced Applications - SEAA. Unidade: IME
Subjects: ARQUITETURA E ORGANIZAÇÃO DE COMPUTADORES, RECONHECIMENTO DE PADRÕES
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ABNT
DANIEL, João et al. Towards the detection of microservice patterns based on metrics. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/SEAA60479.2023.00029. Acesso em: 01 jul. 2024.
APA
Daniel, J., Guerra, E. M., Rosa, T. de O., & Goldman, A. (2023). Towards the detection of microservice patterns based on metrics. In Proceedings. Piscataway: IEEE. doi:10.1109/SEAA60479.2023.00029
NLM
Daniel J, Guerra EM, Rosa T de O, Goldman A. Towards the detection of microservice patterns based on metrics [Internet]. Proceedings. 2023 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/SEAA60479.2023.00029
Vancouver
Daniel J, Guerra EM, Rosa T de O, Goldman A. Towards the detection of microservice patterns based on metrics [Internet]. Proceedings. 2023 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/SEAA60479.2023.00029
Trabalho de evento
Heterogeneous graph neural network for music emotion recognition (2022)
Silva, Angelo Cesar Mendes da; Silva, Diego Furtado ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: International Society for Music Information Retrieval Conference - ISMIR. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, APRENDIZADO COMPUTACIONAL, MÚSICA, EMOÇÕES
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SILVA, Angelo Cesar Mendes da e SILVA, Diego Furtado e MARCACINI, Ricardo Marcondes. Heterogeneous graph neural network for music emotion recognition. 2022, Anais.. Bengaluru: International Society for Music Information Retrieval, 2022. Disponível em: https://ismir2022program.ismir.net/poster_282.html. Acesso em: 01 jul. 2024.
APA
Silva, A. C. M. da, Silva, D. F., & Marcacini, R. M. (2022). Heterogeneous graph neural network for music emotion recognition. In Proceedings. Bengaluru: International Society for Music Information Retrieval. Recuperado de https://ismir2022program.ismir.net/poster_282.html
NLM
Silva ACM da, Silva DF, Marcacini RM. Heterogeneous graph neural network for music emotion recognition [Internet]. Proceedings. 2022 ;[citado 2024 jul. 01 ] Available from: https://ismir2022program.ismir.net/poster_282.html
Vancouver
Silva ACM da, Silva DF, Marcacini RM. Heterogeneous graph neural network for music emotion recognition [Internet]. Proceedings. 2022 ;[citado 2024 jul. 01 ] Available from: https://ismir2022program.ismir.net/poster_282.html
Trabalho de evento
Public administration suppliers classification model based on supervised machine learning (2022)
Sousa Junior, Joselito M. de; Machado, Vinícius Ponte ; Veras, Rodrigo de Melo Souza ; Santos, Roney Lira de Sales ; Lima, Bruno Vicente Alves de; Silva, Alice Montenegro Leal ; Sousa, Francisco Alysson da S; Imperes Filho, Francisco das Chagas
Source: Proceedings. Conference titles: Brazilian Symposium on Information Systems - SBSI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ADMINISTRAÇÃO PÚBLICA, CONTRATO ADMINISTRATIVO, AUDITORIA, TRIBUNAL DE CONTAS
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ABNT
SOUSA JUNIOR, Joselito M. de et al. Public administration suppliers classification model based on supervised machine learning. 2022, Anais.. New York: ACM, 2022. Disponível em: https://doi.org/10.1145/3535511.3535552. Acesso em: 01 jul. 2024.
APA
Sousa Junior, J. M. de, Machado, V. P., Veras, R. de M. S., Santos, R. L. de S., Lima, B. V. A. de, Silva, A. M. L., et al. (2022). Public administration suppliers classification model based on supervised machine learning. In Proceedings. New York: ACM. doi:10.1145/3535511.3535552
NLM
Sousa Junior JM de, Machado VP, Veras R de MS, Santos RL de S, Lima BVA de, Silva AML, Sousa FA da S, Imperes Filho F das C. Public administration suppliers classification model based on supervised machine learning [Internet]. Proceedings. 2022 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1145/3535511.3535552
Vancouver
Sousa Junior JM de, Machado VP, Veras R de MS, Santos RL de S, Lima BVA de, Silva AML, Sousa FA da S, Imperes Filho F das C. Public administration suppliers classification model based on supervised machine learning [Internet]. Proceedings. 2022 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1145/3535511.3535552
Trabalho de evento
Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects (2022)
Machado, Mateus Tarcinalli ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: Conference on Language Resources and Evaluation - LREC. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, EMOÇÕES, PORTUGUÊS DO BRASIL
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ABNT
MACHADO, Mateus Tarcinalli e PARDO, Thiago Alexandre Salgueiro. Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects. 2022, Anais.. Paris: European Language Resources Association - ELRA, 2022. Disponível em: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.407.pdf. Acesso em: 01 jul. 2024.
APA
Machado, M. T., & Pardo, T. A. S. (2022). Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects. In Proceedings. Paris: European Language Resources Association - ELRA. Recuperado de http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.407.pdf
NLM
Machado MT, Pardo TAS. Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects [Internet]. Proceedings. 2022 ;[citado 2024 jul. 01 ] Available from: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.407.pdf
Vancouver
Machado MT, Pardo TAS. Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects [Internet]. Proceedings. 2022 ;[citado 2024 jul. 01 ] Available from: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.407.pdf
Trabalho de evento
Human-ChatBot interaction: measuring the psychophysiological reactions of chatbot users (2022)
Picoli, Helen Santos ; Oliveira, Cynthya Letícia Teles de ; Araujo, Lucas Padilha Modesto de; Manzato, Marcelo Garcia ; Rodrigues, Kamila Rios da Hora
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Subjects: INTERAÇÃO USUÁRIO-COMPUTADOR, RECONHECIMENTO DE PADRÕES, EMOÇÕES
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ABNT
PICOLI, Helen Santos et al. Human-ChatBot interaction: measuring the psychophysiological reactions of chatbot users. 2022, Anais.. New York: ACM, 2022. Disponível em: https://doi.org/10.1145/3539637.3557934. Acesso em: 01 jul. 2024.
APA
Picoli, H. S., Oliveira, C. L. T. de, Araujo, L. P. M. de, Manzato, M. G., & Rodrigues, K. R. da H. (2022). Human-ChatBot interaction: measuring the psychophysiological reactions of chatbot users. In Proceedings. New York: ACM. doi:10.1145/3539637.3557934
NLM
Picoli HS, Oliveira CLT de, Araujo LPM de, Manzato MG, Rodrigues KR da H. Human-ChatBot interaction: measuring the psychophysiological reactions of chatbot users [Internet]. Proceedings. 2022 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1145/3539637.3557934
Vancouver
Picoli HS, Oliveira CLT de, Araujo LPM de, Manzato MG, Rodrigues KR da H. Human-ChatBot interaction: measuring the psychophysiological reactions of chatbot users [Internet]. Proceedings. 2022 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1145/3539637.3557934
Trabalho de evento
Complex texture features learned by applying randomized neural network on graphs (2022)
Zielinski, Kallil M. C.; Ribas, Lucas Correia ; Scabini, Leonardo ; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA. Unidade: IFSC
Subjects: REDES COMPLEXAS, IMAGEM DIGITAL (ANÁLISE), RECONHECIMENTO DE IMAGEM, RECONHECIMENTO DE PADRÕES, TEXTURA (ANÁLISE), INTELIGÊNCIA ARTIFICIAL
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ABNT
ZIELINSKI, Kallil M. C. et al. Complex texture features learned by applying randomized neural network on graphs. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784123. Acesso em: 01 jul. 2024.
APA
Zielinski, K. M. C., Ribas, L. C., Scabini, L., & Bruno, O. M. (2022). Complex texture features learned by applying randomized neural network on graphs. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784123
NLM
Zielinski KMC, Ribas LC, Scabini L, Bruno OM. Complex texture features learned by applying randomized neural network on graphs [Internet]. Proceedings. 2022 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784123
Vancouver
Zielinski KMC, Ribas LC, Scabini L, Bruno OM. Complex texture features learned by applying randomized neural network on graphs [Internet]. Proceedings. 2022 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784123
Trabalho de evento
Using fractal interpolation over complex network modeling of deep texture representation (2022)
Florindo, João Batista; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA. Unidade: IFSC
Subjects: FRACTAIS, TEXTURA, IMAGEM DIGITAL (ANÁLISE), RECONHECIMENTO DE PADRÕES, INTELIGÊNCIA ARTIFICIAL
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FLORINDO, João Batista e BRUNO, Odemir Martinez. Using fractal interpolation over complex network modeling of deep texture representation. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784138. Acesso em: 01 jul. 2024.
APA
Florindo, J. B., & Bruno, O. M. (2022). Using fractal interpolation over complex network modeling of deep texture representation. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784138
NLM
Florindo JB, Bruno OM. Using fractal interpolation over complex network modeling of deep texture representation [Internet]. Proceedings. 2022 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784138
Vancouver
Florindo JB, Bruno OM. Using fractal interpolation over complex network modeling of deep texture representation [Internet]. Proceedings. 2022 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784138
Trabalho de evento
Toward discourse-aware models for multilingual fake news detection (2021)
Vargas, Francielle Alves ; Benevenuto, Fabrício ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: International Conference Recent Advances in Natural Language Processing - RANLP. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA DE CORPUS, RECONHECIMENTO DE PADRÕES, FAKE NEWS
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ABNT
VARGAS, Francielle Alves e BENEVENUTO, Fabrício e PARDO, Thiago Alexandre Salgueiro. Toward discourse-aware models for multilingual fake news detection. 2021, Anais.. Shoumen: INCOMA, 2021. Disponível em: https://doi.org/10.26615/issn.2603-2821.2021_029. Acesso em: 01 jul. 2024.
APA
Vargas, F. A., Benevenuto, F., & Pardo, T. A. S. (2021). Toward discourse-aware models for multilingual fake news detection. In Proceedings. Shoumen: INCOMA. doi:10.26615/issn.2603-2821.2021_029
NLM
Vargas FA, Benevenuto F, Pardo TAS. Toward discourse-aware models for multilingual fake news detection [Internet]. Proceedings. 2021 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.26615/issn.2603-2821.2021_029
Vancouver
Vargas FA, Benevenuto F, Pardo TAS. Toward discourse-aware models for multilingual fake news detection [Internet]. Proceedings. 2021 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.26615/issn.2603-2821.2021_029
Trabalho de evento
Fast and lightweight binary and multi-branch Hoeffding tree regressors (2021)
Mastelini, Saulo Martiello ; Montiel, Jacob ; Gomes, Heitor Murilo ; Bifet, Albert ; Pfahringer, Bernhard ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Conference on Data Mining Workshops - ICDMW. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
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ABNT
MASTELINI, Saulo Martiello et al. Fast and lightweight binary and multi-branch Hoeffding tree regressors. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/ICDMW53433.2021.00053. Acesso em: 01 jul. 2024.
APA
Mastelini, S. M., Montiel, J., Gomes, H. M., Bifet, A., Pfahringer, B., & Carvalho, A. C. P. de L. F. de. (2021). Fast and lightweight binary and multi-branch Hoeffding tree regressors. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICDMW53433.2021.00053
NLM
Mastelini SM, Montiel J, Gomes HM, Bifet A, Pfahringer B, Carvalho ACP de LF de. Fast and lightweight binary and multi-branch Hoeffding tree regressors [Internet]. Proceedings. 2021 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/ICDMW53433.2021.00053
Vancouver
Mastelini SM, Montiel J, Gomes HM, Bifet A, Pfahringer B, Carvalho ACP de LF de. Fast and lightweight binary and multi-branch Hoeffding tree regressors [Internet]. Proceedings. 2021 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/ICDMW53433.2021.00053
Trabalho de evento
An interpretable recommendation model for gerontological care (2021)
Lima, André Paulino de ; Dantas, Laurentino Augusto; Pimentel, Maria da Graça Campos ; Manzato, Marcelo Garcia ; Orlandi, Brunela Della Maggiori ; Castro, Paula Costa
Source: Proceedings. Conference titles: ACM Conference on Recommender Systems - RecSys. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, TECNOLOGIAS DA SAÚDE, ASSISTÊNCIA A IDOSOS
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ABNT
LIMA, André Paulino de et al. An interpretable recommendation model for gerontological care. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3460231.3478850. Acesso em: 01 jul. 2024.
APA
Lima, A. P. de, Dantas, L. A., Pimentel, M. da G. C., Manzato, M. G., Orlandi, B. D. M., & Castro, P. C. (2021). An interpretable recommendation model for gerontological care. In Proceedings. New York: ACM. doi:10.1145/3460231.3478850
NLM
Lima AP de, Dantas LA, Pimentel M da GC, Manzato MG, Orlandi BDM, Castro PC. An interpretable recommendation model for gerontological care [Internet]. Proceedings. 2021 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1145/3460231.3478850
Vancouver
Lima AP de, Dantas LA, Pimentel M da GC, Manzato MG, Orlandi BDM, Castro PC. An interpretable recommendation model for gerontological care [Internet]. Proceedings. 2021 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1145/3460231.3478850
Trabalho de evento
Dissecting the high-frequency bias in convolutional neural networks (2021)
Abello, Antonio Augusto; Hirata Júnior, Roberto ; Wang, Zhangyang
Source: Proceedings. Conference titles: Conference on Computer Vision and Pattern Recognition Workshops - CVPRW. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
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ABNT
ABELLO, Antonio Augusto e HIRATA JÚNIOR, Roberto e WANG, Zhangyang. Dissecting the high-frequency bias in convolutional neural networks. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/CVPRW53098.2021.00096. Acesso em: 01 jul. 2024.
APA
Abello, A. A., Hirata Júnior, R., & Wang, Z. (2021). Dissecting the high-frequency bias in convolutional neural networks. In Proceedings. Piscataway: IEEE. doi:10.1109/CVPRW53098.2021.00096
NLM
Abello AA, Hirata Júnior R, Wang Z. Dissecting the high-frequency bias in convolutional neural networks [Internet]. Proceedings. 2021 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/CVPRW53098.2021.00096
Vancouver
Abello AA, Hirata Júnior R, Wang Z. Dissecting the high-frequency bias in convolutional neural networks [Internet]. Proceedings. 2021 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/CVPRW53098.2021.00096
Trabalho de evento
Study of a hybrid photovoltaic-wind smart microgrid using data science approach (2021)
Saire, Josimar Edinson Chire ; Gastelo-Roque, José Armando ; Canziani, Franco
Source: Proceedings. Conference titles: IEEE PES Innovative Smart Grid Technologies Conference : Latin America - ISGT Latin America. Unidade: ICMC
Subjects: SISTEMAS FOTOVOLTAICOS, ENERGIA ELÉTRICA, RECONHECIMENTO DE PADRÕES
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ABNT
SAIRE, Josimar Edinson Chire e GASTELO-ROQUE, José Armando e CANZIANI, Franco. Study of a hybrid photovoltaic-wind smart microgrid using data science approach. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543064. Acesso em: 01 jul. 2024.
APA
Saire, J. E. C., Gastelo-Roque, J. A., & Canziani, F. (2021). Study of a hybrid photovoltaic-wind smart microgrid using data science approach. In Proceedings. Piscataway: IEEE. doi:10.1109/ISGTLatinAmerica52371.2021.9543064
NLM
Saire JEC, Gastelo-Roque JA, Canziani F. Study of a hybrid photovoltaic-wind smart microgrid using data science approach [Internet]. Proceedings. 2021 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543064
Vancouver
Saire JEC, Gastelo-Roque JA, Canziani F. Study of a hybrid photovoltaic-wind smart microgrid using data science approach [Internet]. Proceedings. 2021 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543064
Trabalho de evento
Metricam: fast and reliable social distancing analysis in online security cameras (2021)
Padilha, Bruno; Takecian, Pedro Losco ; Soares, Decio Lauro ; Schwerz, André Luis ; Kamaura, Leonardo Tadashi; Ferreira, João Eduardo
Source: Proceedings. Conference titles: International Conference on Computational Science and Computational Intelligence - CSCI. Unidade: IME
Subjects: RECONHECIMENTO DE OBJETOS, RECONHECIMENTO DE PADRÕES, GEOMETRIA COMPUTACIONAL, APRENDIZADO COMPUTACIONAL
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ABNT
PADILHA, Bruno et al. Metricam: fast and reliable social distancing analysis in online security cameras. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/CSCI54926.2021.00305. Acesso em: 01 jul. 2024.
APA
Padilha, B., Takecian, P. L., Soares, D. L., Schwerz, A. L., Kamaura, L. T., & Ferreira, J. E. (2021). Metricam: fast and reliable social distancing analysis in online security cameras. In Proceedings. Piscataway: IEEE. doi:10.1109/CSCI54926.2021.00305
NLM
Padilha B, Takecian PL, Soares DL, Schwerz AL, Kamaura LT, Ferreira JE. Metricam: fast and reliable social distancing analysis in online security cameras [Internet]. Proceedings. 2021 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/CSCI54926.2021.00305
Vancouver
Padilha B, Takecian PL, Soares DL, Schwerz AL, Kamaura LT, Ferreira JE. Metricam: fast and reliable social distancing analysis in online security cameras [Internet]. Proceedings. 2021 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/CSCI54926.2021.00305
Trabalho de evento
Contextual-lexicon approach for abusive language detection (2021)
Vargas, Francielle Alves ; Goes, Fabiana Rodrigues de ; Carvalho, Isabelle ; Benevenuto, Fabrício ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: International Conference Recent Advances in Natural Language Processing - RANLP. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE PADRÕES, MÍDIAS SOCIAIS, PORTUGUÊS DO BRASIL
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ABNT
VARGAS, Francielle Alves et al. Contextual-lexicon approach for abusive language detection. 2021, Anais.. Shoumen: INCOMA, 2021. Disponível em: https://doi.org/10.26615/978-954-452-072-4_162. Acesso em: 01 jul. 2024.
APA
Vargas, F. A., Goes, F. R. de, Carvalho, I., Benevenuto, F., & Pardo, T. A. S. (2021). Contextual-lexicon approach for abusive language detection. In Proceedings. Shoumen: INCOMA. doi:10.26615/978-954-452-072-4_162
NLM
Vargas FA, Goes FR de, Carvalho I, Benevenuto F, Pardo TAS. Contextual-lexicon approach for abusive language detection [Internet]. Proceedings. 2021 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.26615/978-954-452-072-4_162
Vancouver
Vargas FA, Goes FR de, Carvalho I, Benevenuto F, Pardo TAS. Contextual-lexicon approach for abusive language detection [Internet]. Proceedings. 2021 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.26615/978-954-452-072-4_162
Trabalho de evento
Automatic detection of depression from text data: A systematic literacture review (2020)
Magami, Felipe Morine; Digiampietri, Luciano Antonio
Source: Proceedings. Conference titles: Brazilian Symposium on Information Systems - SBSI. Unidade: EACH
Subjects: DEPRESSÃO, REDES SOCIAIS, RECONHECIMENTO DE PADRÕES, RECONHECIMENTO DE TEXTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAGAMI, Felipe Morine e DIGIAMPIETRI, Luciano Antonio. Automatic detection of depression from text data: A systematic literacture review. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3411564.3411603. Acesso em: 01 jul. 2024.
APA
Magami, F. M., & Digiampietri, L. A. (2020). Automatic detection of depression from text data: A systematic literacture review. In Proceedings. New York: ACM. doi:10.1145/3411564.3411603
NLM
Magami FM, Digiampietri LA. Automatic detection of depression from text data: A systematic literacture review [Internet]. Proceedings. 2020 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1145/3411564.3411603
Vancouver
Magami FM, Digiampietri LA. Automatic detection of depression from text data: A systematic literacture review [Internet]. Proceedings. 2020 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1145/3411564.3411603
Trabalho de evento
An optimized modularity-based high level classification model (2020)
Colliri, Tiago Santos ; Weiguang, Liu; Liang, Zhao
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COLLIRI, Tiago Santos e WEIGUANG, Liu e LIANG, Zhao. An optimized modularity-based high level classification model. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/IJCNN48605.2020.9206755. Acesso em: 01 jul. 2024.
APA
Colliri, T. S., Weiguang, L., & Liang, Z. (2020). An optimized modularity-based high level classification model. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN48605.2020.9206755
NLM
Colliri TS, Weiguang L, Liang Z. An optimized modularity-based high level classification model [Internet]. Proceedings. 2020 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206755
Vancouver
Colliri TS, Weiguang L, Liang Z. An optimized modularity-based high level classification model [Internet]. Proceedings. 2020 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206755
Trabalho de evento-resumo
Random projections and α-shape to support the kernel design (2020)
Cestari, Daniel Moreira ; Mello, Rodrigo Fernandes de
Source: Proceedings. Conference titles: AAAI Conference on Artificial Intelligence - AAAI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CESTARI, Daniel Moreira e MELLO, Rodrigo Fernandes de. Random projections and α-shape to support the kernel design. 2020, Anais.. Palo Alto: AAAI Press, 2020. Disponível em: https://doi.org/10.1609/aaai.v34i10.7211. Acesso em: 01 jul. 2024.
APA
Cestari, D. M., & Mello, R. F. de. (2020). Random projections and α-shape to support the kernel design. In Proceedings. Palo Alto: AAAI Press. doi:10.1609/aaai.v34i10.7211
NLM
Cestari DM, Mello RF de. Random projections and α-shape to support the kernel design [Internet]. Proceedings. 2020 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1609/aaai.v34i10.7211
Vancouver
Cestari DM, Mello RF de. Random projections and α-shape to support the kernel design [Internet]. Proceedings. 2020 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1609/aaai.v34i10.7211
Trabalho de evento
Brazilian presidential elections: analysing voting patterns in time and space using a simple data science pipeline (2020)
Jacintho, Lucas Henrique Mantovani; Silva, Tiago Pinho da ; Parmezan, Antonio Rafael Sabino ; Batista, Gustavo Enrique de Almeida Prado Alves
Source: Proceedings. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ANÁLISE DE SÉRIES TEMPORAIS, ELEIÇÕES DIRETAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JACINTHO, Lucas Henrique Mantovani et al. Brazilian presidential elections: analysing voting patterns in time and space using a simple data science pipeline. 2020, Anais.. Porto Alegre: SBC, 2020. Disponível em: https://doi.org/10.5753/kdmile.2020.11979. Acesso em: 01 jul. 2024.
APA
Jacintho, L. H. M., Silva, T. P. da, Parmezan, A. R. S., & Batista, G. E. de A. P. A. (2020). Brazilian presidential elections: analysing voting patterns in time and space using a simple data science pipeline. In Proceedings. Porto Alegre: SBC. doi:10.5753/kdmile.2020.11979
NLM
Jacintho LHM, Silva TP da, Parmezan ARS, Batista GE de APA. Brazilian presidential elections: analysing voting patterns in time and space using a simple data science pipeline [Internet]. Proceedings. 2020 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.5753/kdmile.2020.11979
Vancouver
Jacintho LHM, Silva TP da, Parmezan ARS, Batista GE de APA. Brazilian presidential elections: analysing voting patterns in time and space using a simple data science pipeline [Internet]. Proceedings. 2020 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.5753/kdmile.2020.11979

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