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Trabalho de evento-anais periodico
A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection (2025)
Freire, Daniela Lopes ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Peterlevitz, Augusto José ; Chinelatto, Mateus Antonio ; Silva, Ricardo Dutra da ; Perea, Juan Fernando Rojas
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, LINHAS AÉREAS DE TRANSMISSÃO DE ENERGIA ELÉTRICA
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ABNT
FREIRE, Daniela Lopes et al. A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-77738-7_31. Acesso em: 05 nov. 2025. , 2025
APA
Freire, D. L., Carvalho, A. C. P. de L. F. de, Peterlevitz, A. J., Chinelatto, M. A., Silva, R. D. da, & Perea, J. F. R. (2025). A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-77738-7_31
NLM
Freire DL, Carvalho ACP de LF de, Peterlevitz AJ, Chinelatto MA, Silva RD da, Perea JFR. A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection [Internet]. Lecture Notes in Computer Science. 2025 ; 15347 373-385.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-77738-7_31
Vancouver
Freire DL, Carvalho ACP de LF de, Peterlevitz AJ, Chinelatto MA, Silva RD da, Perea JFR. A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection [Internet]. Lecture Notes in Computer Science. 2025 ; 15347 373-385.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-77738-7_31
Trabalho de evento-anais periodico
Enhancing explainability in oral cancer detection with Grad-CAM visualizations (2024)
Silva, Arnaldo Vitor Barros da ; Saldivia-Siracusa, Cristina ; Souza, Eduardo Santos Carlos de ; Araujo, Anna Luiza Damaceno ; Lopes, Márcio Ajudarte ; Vargas, Pablo Agustin ; Kowalski, Luiz Paulo ; Santos-Silva, Alan Roger dos ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Quiles, Marcos Gonçalves
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science and its Applications - ICCSA. Unidades: FM, ICMC
Assuntos: APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR IMAGEM, TECNOLOGIAS DA SAÚDE, NEOPLASIAS BUCAIS
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SILVA, Arnaldo Vitor Barros da et al. Enhancing explainability in oral cancer detection with Grad-CAM visualizations. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-64605-8_11. Acesso em: 05 nov. 2025. , 2024
APA
Silva, A. V. B. da, Saldivia-Siracusa, C., Souza, E. S. C. de, Araujo, A. L. D., Lopes, M. A., Vargas, P. A., et al. (2024). Enhancing explainability in oral cancer detection with Grad-CAM visualizations. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-64605-8_11
NLM
Silva AVB da, Saldivia-Siracusa C, Souza ESC de, Araujo ALD, Lopes MA, Vargas PA, Kowalski LP, Santos-Silva AR dos, Carvalho ACP de LF de, Quiles MG. Enhancing explainability in oral cancer detection with Grad-CAM visualizations [Internet]. Lecture Notes in Computer Science. 2024 ; 14813 151-164.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-64605-8_11
Vancouver
Silva AVB da, Saldivia-Siracusa C, Souza ESC de, Araujo ALD, Lopes MA, Vargas PA, Kowalski LP, Santos-Silva AR dos, Carvalho ACP de LF de, Quiles MG. Enhancing explainability in oral cancer detection with Grad-CAM visualizations [Internet]. Lecture Notes in Computer Science. 2024 ; 14813 151-164.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-64605-8_11
Trabalho de evento-anais periodico
Applying LSTM recurrent neural networks to predict revenue (2024)
Cardoso, Luis Eduardo Pelin ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Quiles, Marcos Gonçalves
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science and its Applications - ICCSA. Unidade: ICMC
Assuntos: PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), REDES NEURAIS, PREVISÃO DE VENDAS
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CARDOSO, Luis Eduardo Pelin e CARVALHO, Andre Carlos Ponce de Leon Ferreira de e QUILES, Marcos Gonçalves. Applying LSTM recurrent neural networks to predict revenue. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-64608-9_13. Acesso em: 05 nov. 2025. , 2024
APA
Cardoso, L. E. P., Carvalho, A. C. P. de L. F. de, & Quiles, M. G. (2024). Applying LSTM recurrent neural networks to predict revenue. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-64608-9_13
NLM
Cardoso LEP, Carvalho ACP de LF de, Quiles MG. Applying LSTM recurrent neural networks to predict revenue [Internet]. Lecture Notes in Computer Science. 2024 ; 14814 198-212.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-64608-9_13
Vancouver
Cardoso LEP, Carvalho ACP de LF de, Quiles MG. Applying LSTM recurrent neural networks to predict revenue [Internet]. Lecture Notes in Computer Science. 2024 ; 14814 198-212.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-64608-9_13
Trabalho de evento-anais periodico
Threshold-based classification to enhance confidence in open set of legal texts (2023)
Freire, Daniela Lopes ; Almeida, Alex Marino de ; Dias, Márcio de Souza ; Rivolli, Adriano ; Pereira, Fabíola Souza Fernandes ; Godoi, Giliard Almeida de ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO
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ABNT
FREIRE, Daniela Lopes et al. Threshold-based classification to enhance confidence in open set of legal texts. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-48232-8_25. Acesso em: 05 nov. 2025. , 2023
APA
Freire, D. L., Almeida, A. M. de, Dias, M. de S., Rivolli, A., Pereira, F. S. F., Godoi, G. A. de, & Carvalho, A. C. P. de L. F. de. (2023). Threshold-based classification to enhance confidence in open set of legal texts. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-48232-8_25
NLM
Freire DL, Almeida AM de, Dias M de S, Rivolli A, Pereira FSF, Godoi GA de, Carvalho ACP de LF de. Threshold-based classification to enhance confidence in open set of legal texts [Internet]. Lecture Notes in Computer Science. 2023 ; 14404 269-280.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-48232-8_25
Vancouver
Freire DL, Almeida AM de, Dias M de S, Rivolli A, Pereira FSF, Godoi GA de, Carvalho ACP de LF de. Threshold-based classification to enhance confidence in open set of legal texts [Internet]. Lecture Notes in Computer Science. 2023 ; 14404 269-280.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-48232-8_25
Trabalho de evento-anais periodico
Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes (2021)
Ienco, Dino ; Pereira-Santos, Davi; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Artificial Neural Networks - ICANN. Unidade: ICMC
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
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ABNT
IENCO, Dino e PEREIRA-SANTOS, Davi e CARVALHO, André Carlos Ponce de Leon Ferreira de. Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-86383-8_10. Acesso em: 05 nov. 2025. , 2021
APA
Ienco, D., Pereira-Santos, D., & Carvalho, A. C. P. de L. F. de. (2021). Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-86383-8_10
NLM
Ienco D, Pereira-Santos D, Carvalho ACP de LF de. Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes [Internet]. Lecture Notes in Computer Science. 2021 ; 12895 126-137.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-86383-8_10
Vancouver
Ienco D, Pereira-Santos D, Carvalho ACP de LF de. Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes [Internet]. Lecture Notes in Computer Science. 2021 ; 12895 126-137.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-86383-8_10
Trabalho de evento-anais periodico
Time-series in hyper-parameter initialization of machine learning techniques (2021)
Horváth, Tomás ; Mantovani, Rafael Gomes ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, COMPONENTES PRINCIPAIS, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
HORVÁTH, Tomás e MANTOVANI, Rafael Gomes e CARVALHO, André Carlos Ponce de Leon Ferreira de. Time-series in hyper-parameter initialization of machine learning techniques. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91608-4_25. Acesso em: 05 nov. 2025. , 2021
APA
Horváth, T., Mantovani, R. G., & Carvalho, A. C. P. de L. F. de. (2021). Time-series in hyper-parameter initialization of machine learning techniques. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-91608-4_25
NLM
Horváth T, Mantovani RG, Carvalho ACP de LF de. Time-series in hyper-parameter initialization of machine learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13113 246-258.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-91608-4_25
Vancouver
Horváth T, Mantovani RG, Carvalho ACP de LF de. Time-series in hyper-parameter initialization of machine learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13113 246-258.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-91608-4_25
Trabalho de evento-anais periodico
A study of the correlation of metafeatures used for metalearning (2021)
Rivolli, Adriano ; Garcia, Luís Paulo Faina ; Lorena, Ana Carolina ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Work-Conference on Artificial Neural Networks - IWANN. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS
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ABNT
RIVOLLI, Adriano et al. A study of the correlation of metafeatures used for metalearning. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-85030-2_39. Acesso em: 05 nov. 2025. , 2021
APA
Rivolli, A., Garcia, L. P. F., Lorena, A. C., & Carvalho, A. C. P. de L. F. de. (2021). A study of the correlation of metafeatures used for metalearning. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-85030-2_39
NLM
Rivolli A, Garcia LPF, Lorena AC, Carvalho ACP de LF de. A study of the correlation of metafeatures used for metalearning [Internet]. Lecture Notes in Computer Science. 2021 ; 12861 471-483.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-85030-2_39
Vancouver
Rivolli A, Garcia LPF, Lorena AC, Carvalho ACP de LF de. A study of the correlation of metafeatures used for metalearning [Internet]. Lecture Notes in Computer Science. 2021 ; 12861 471-483.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-85030-2_39
Trabalho de evento-anais periodico
Multi-objective basic variable neighborhood search for portfolio selection (2020)
Queiroz, Thiago Alves de ; Mundim, Leandro Resende ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Variable Neighborhood Search - ICVNS. Unidade: ICMC
Assuntos: RECONHECIMENTO DE PADRÕES, HEURÍSTICA
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ABNT
QUEIROZ, Thiago Alves de e MUNDIM, Leandro Resende e CARVALHO, André Carlos Ponce de Leon Ferreira de. Multi-objective basic variable neighborhood search for portfolio selection. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-44932-2_5. Acesso em: 05 nov. 2025. , 2020
APA
Queiroz, T. A. de, Mundim, L. R., & Carvalho, A. C. P. de L. F. de. (2020). Multi-objective basic variable neighborhood search for portfolio selection. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-44932-2_5
NLM
Queiroz TA de, Mundim LR, Carvalho ACP de LF de. Multi-objective basic variable neighborhood search for portfolio selection [Internet]. Lecture Notes in Computer Science. 2020 ; 12010 67–80.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-44932-2_5
Vancouver
Queiroz TA de, Mundim LR, Carvalho ACP de LF de. Multi-objective basic variable neighborhood search for portfolio selection [Internet]. Lecture Notes in Computer Science. 2020 ; 12010 67–80.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-44932-2_5
Trabalho de evento-anais periodico
Improving portfolio optimization using weighted link prediction in dynamic stock networks (2019)
Castilho, Douglas; Gama, João; Mundim, Leandro Resende; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, MÉTODOS ESTATÍSTICOS PARA APRENDIZAGEM, ALGORITMOS ÚTEIS E ESPECÍFICOS, BOLSA DE VALORES
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ABNT
CASTILHO, Douglas et al. Improving portfolio optimization using weighted link prediction in dynamic stock networks. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-22744-9_27. Acesso em: 05 nov. 2025. , 2019
APA
Castilho, D., Gama, J., Mundim, L. R., & Carvalho, A. C. P. de L. F. de. (2019). Improving portfolio optimization using weighted link prediction in dynamic stock networks. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-22744-9_27
NLM
Castilho D, Gama J, Mundim LR, Carvalho ACP de LF de. Improving portfolio optimization using weighted link prediction in dynamic stock networks [Internet]. Lecture Notes in Computer Science. 2019 ; 11538 340-353.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-22744-9_27
Vancouver
Castilho D, Gama J, Mundim LR, Carvalho ACP de LF de. Improving portfolio optimization using weighted link prediction in dynamic stock networks [Internet]. Lecture Notes in Computer Science. 2019 ; 11538 340-353.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-22744-9_27
Trabalho de evento-anais periodico
A cluster-based prototype reduction for online classification (2018)
Garcia, Kemilly Dearo; Carvalho, André Carlos Ponce de Leon Ferreira de ; Moreira, João Mendes
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, ANÁLISE ESTATÍSTICA DE DADOS, MINERAÇÃO DE DADOS
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ABNT
GARCIA, Kemilly Dearo e CARVALHO, André Carlos Ponce de Leon Ferreira de e MOREIRA, João Mendes. A cluster-based prototype reduction for online classification. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-03493-1_63. Acesso em: 05 nov. 2025. , 2018
APA
Garcia, K. D., Carvalho, A. C. P. de L. F. de, & Moreira, J. M. (2018). A cluster-based prototype reduction for online classification. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-03493-1_63
NLM
Garcia KD, Carvalho ACP de LF de, Moreira JM. A cluster-based prototype reduction for online classification [Internet]. Lecture Notes in Computer Science. 2018 ; 11314 603-610.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-03493-1_63
Vancouver
Garcia KD, Carvalho ACP de LF de, Moreira JM. A cluster-based prototype reduction for online classification [Internet]. Lecture Notes in Computer Science. 2018 ; 11314 603-610.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-03493-1_63
Trabalho de evento-anais periodico
Preprocessing technique for cluster editing via Integer Linear Programming (2018)
Lorena, Luiz Henrique Nogueira; Quiles, Marcos Gonçalves; Carvalho, André Carlos Ponce de Leon Ferreira de ; Lorena, Luiz Antonio Nogueira
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Computing Theories and Application - ICIC. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, PROGRAMAÇÃO LINEAR, RECONHECIMENTO DE PADRÕES
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ABNT
LORENA, Luiz Henrique Nogueira et al. Preprocessing technique for cluster editing via Integer Linear Programming. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-95930-6_27. Acesso em: 05 nov. 2025. , 2018
APA
Lorena, L. H. N., Quiles, M. G., Carvalho, A. C. P. de L. F. de, & Lorena, L. A. N. (2018). Preprocessing technique for cluster editing via Integer Linear Programming. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-95930-6_27
NLM
Lorena LHN, Quiles MG, Carvalho ACP de LF de, Lorena LAN. Preprocessing technique for cluster editing via Integer Linear Programming [Internet]. Lecture Notes in Computer Science. 2018 ; 10954 287-297.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-95930-6_27
Vancouver
Lorena LHN, Quiles MG, Carvalho ACP de LF de, Lorena LAN. Preprocessing technique for cluster editing via Integer Linear Programming [Internet]. Lecture Notes in Computer Science. 2018 ; 10954 287-297.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-95930-6_27
Trabalho de evento-anais periodico
Unsupervised domain adaptation for human activity recognition (2018)
Barbosa, Paulo; Garcia, Kemilly Dearo; Moreira, João Mendes; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
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ABNT
BARBOSA, Paulo et al. Unsupervised domain adaptation for human activity recognition. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-03493-1_65. Acesso em: 05 nov. 2025. , 2018
APA
Barbosa, P., Garcia, K. D., Moreira, J. M., & Carvalho, A. C. P. de L. F. de. (2018). Unsupervised domain adaptation for human activity recognition. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-03493-1_65
NLM
Barbosa P, Garcia KD, Moreira JM, Carvalho ACP de LF de. Unsupervised domain adaptation for human activity recognition [Internet]. Lecture Notes in Computer Science. 2018 ; 11314 623-630.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-03493-1_65
Vancouver
Barbosa P, Garcia KD, Moreira JM, Carvalho ACP de LF de. Unsupervised domain adaptation for human activity recognition [Internet]. Lecture Notes in Computer Science. 2018 ; 11314 623-630.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-03493-1_65
Trabalho de evento-anais periodico
A multi-objective optimization approach associated to climate change analysis to improve Systematic Conservation Planning (2015)
Schlottfeldt, Shana; Timmis, Jon; Walter, Maria Emilia; Carvalho, André Carlos Ponce de Leon Ferreira de ; Simon, Lorena; Loyola, Rafael; Diniz-Filho, José Alexandre
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Evolutionary Multi-criterion Optimization - EMO. Unidade: ICMC
Assuntos: INTELIGÊNCIA ARTIFICIAL, BIODIVERSIDADE, CONSERVAÇÃO BIOLÓGICA, MUDANÇA CLIMÁTICA
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ABNT
SCHLOTTFELDT, Shana et al. A multi-objective optimization approach associated to climate change analysis to improve Systematic Conservation Planning. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-15892-1_31. Acesso em: 05 nov. 2025. , 2015
APA
Schlottfeldt, S., Timmis, J., Walter, M. E., Carvalho, A. C. P. de L. F. de, Simon, L., Loyola, R., & Diniz-Filho, J. A. (2015). A multi-objective optimization approach associated to climate change analysis to improve Systematic Conservation Planning. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-15892-1_31
NLM
Schlottfeldt S, Timmis J, Walter ME, Carvalho ACP de LF de, Simon L, Loyola R, Diniz-Filho JA. A multi-objective optimization approach associated to climate change analysis to improve Systematic Conservation Planning [Internet]. Lecture Notes in Computer Science. 2015 ; 9019 458-472.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-15892-1_31
Vancouver
Schlottfeldt S, Timmis J, Walter ME, Carvalho ACP de LF de, Simon L, Loyola R, Diniz-Filho JA. A multi-objective optimization approach associated to climate change analysis to improve Systematic Conservation Planning [Internet]. Lecture Notes in Computer Science. 2015 ; 9019 458-472.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-15892-1_31
Trabalho de evento-anais periodico
Using genetic algorithms to improve prediction of execution times of ML tasks (2012)
Priya, Rattan; Souza, Bruno Feres de; Rossi, André L. D; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Hybrid Artificial Intelligent Systems - HAIS. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
PRIYA, Rattan et al. Using genetic algorithms to improve prediction of execution times of ML tasks. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-28942-2. Acesso em: 05 nov. 2025. , 2012
APA
Priya, R., Souza, B. F. de, Rossi, A. L. D., & Carvalho, A. C. P. de L. F. de. (2012). Using genetic algorithms to improve prediction of execution times of ML tasks. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-28942-2
NLM
Priya R, Souza BF de, Rossi ALD, Carvalho ACP de LF de. Using genetic algorithms to improve prediction of execution times of ML tasks [Internet]. Lecture Notes in Computer Science. 2012 ; 7208 196-207.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-28942-2
Vancouver
Priya R, Souza BF de, Rossi ALD, Carvalho ACP de LF de. Using genetic algorithms to improve prediction of execution times of ML tasks [Internet]. Lecture Notes in Computer Science. 2012 ; 7208 196-207.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-28942-2
Trabalho de evento-anais periodico
An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection (2012)
Miranda, Péricles B. C; Prudêncio, Ricardo B. C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Soares, Carlos
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science and its Applications - ICCSA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
MIRANDA, Péricles B. C et al. An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-31137-6_43. Acesso em: 05 nov. 2025. , 2012
APA
Miranda, P. B. C., Prudêncio, R. B. C., Carvalho, A. C. P. de L. F. de, & Soares, C. (2012). An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-31137-6_43
NLM
Miranda PBC, Prudêncio RBC, Carvalho ACP de LF de, Soares C. An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection [Internet]. Lecture Notes in Computer Science. 2012 ; 7335 562-575.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-31137-6_43
Vancouver
Miranda PBC, Prudêncio RBC, Carvalho ACP de LF de, Soares C. An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection [Internet]. Lecture Notes in Computer Science. 2012 ; 7335 562-575.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-31137-6_43
Trabalho de evento-anais periodico
A meta-learning approach to select meta-heuristics for the traveling salesman problem using MLP-based label ranking (2012)
Kanda, Jorge; Soares, Carlos; Hruschka, Eduardo Raul ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Neural Information Processing - ICONIP. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KANDA, Jorge et al. A meta-learning approach to select meta-heuristics for the traveling salesman problem using MLP-based label ranking. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-34487-9. Acesso em: 05 nov. 2025. , 2012
APA
Kanda, J., Soares, C., Hruschka, E. R., & Carvalho, A. C. P. de L. F. de. (2012). A meta-learning approach to select meta-heuristics for the traveling salesman problem using MLP-based label ranking. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-34487-9
NLM
Kanda J, Soares C, Hruschka ER, Carvalho ACP de LF de. A meta-learning approach to select meta-heuristics for the traveling salesman problem using MLP-based label ranking [Internet]. Lecture Notes in Computer Science. 2012 ; 7665 488-495.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-34487-9
Vancouver
Kanda J, Soares C, Hruschka ER, Carvalho ACP de LF de. A meta-learning approach to select meta-heuristics for the traveling salesman problem using MLP-based label ranking [Internet]. Lecture Notes in Computer Science. 2012 ; 7665 488-495.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-34487-9
Trabalho de evento-anais periodico
Bioinspired parameter tuning of MLP networks for gene expression analysis: quality of fitness estimates vs. number of solutions analysed (2009)
Rossi, André L. D.; Soares, Carlos; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference - ICONIP 2008. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROSSI, André L. D. e SOARES, Carlos e CARVALHO, André Carlos Ponce de Leon Ferreira de. Bioinspired parameter tuning of MLP networks for gene expression analysis: quality of fitness estimates vs. number of solutions analysed. Lecture Notes in Computer Science. Heidelberg: Springer. Disponível em: http://www.springerlink.com/content/y773013424501412. Acesso em: 05 nov. 2025. , 2009
APA
Rossi, A. L. D., Soares, C., & Carvalho, A. C. P. de L. F. de. (2009). Bioinspired parameter tuning of MLP networks for gene expression analysis: quality of fitness estimates vs. number of solutions analysed. Lecture Notes in Computer Science. Heidelberg: Springer. Recuperado de http://www.springerlink.com/content/y773013424501412
NLM
Rossi ALD, Soares C, Carvalho ACP de LF de. Bioinspired parameter tuning of MLP networks for gene expression analysis: quality of fitness estimates vs. number of solutions analysed [Internet]. Lecture Notes in Computer Science. 2009 ; 5507 252-259.[citado 2025 nov. 05 ] Available from: http://www.springerlink.com/content/y773013424501412
Vancouver
Rossi ALD, Soares C, Carvalho ACP de LF de. Bioinspired parameter tuning of MLP networks for gene expression analysis: quality of fitness estimates vs. number of solutions analysed [Internet]. Lecture Notes in Computer Science. 2009 ; 5507 252-259.[citado 2025 nov. 05 ] Available from: http://www.springerlink.com/content/y773013424501412
Trabalho de evento-anais periodico
Ensembles of pre-processing techniques for noise detection in gene expression data (2009)
Libralon, Giampaolo Luiz; Carvalho, André Carlos Ponce de Leon Ferreira de ; Lorena, Ana Carolina
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference - ICONIP 2008. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIBRALON, Giampaolo Luiz e CARVALHO, André Carlos Ponce de Leon Ferreira de e LORENA, Ana Carolina. Ensembles of pre-processing techniques for noise detection in gene expression data. Lecture Notes in Computer Science. Heidelberg: Springer. Disponível em: http://www.springerlink.com/content/71w8h74384657330. Acesso em: 05 nov. 2025. , 2009
APA
Libralon, G. L., Carvalho, A. C. P. de L. F. de, & Lorena, A. C. (2009). Ensembles of pre-processing techniques for noise detection in gene expression data. Lecture Notes in Computer Science. Heidelberg: Springer. Recuperado de http://www.springerlink.com/content/71w8h74384657330
NLM
Libralon GL, Carvalho ACP de LF de, Lorena AC. Ensembles of pre-processing techniques for noise detection in gene expression data [Internet]. Lecture Notes in Computer Science. 2009 ; 5506 486-493.[citado 2025 nov. 05 ] Available from: http://www.springerlink.com/content/71w8h74384657330
Vancouver
Libralon GL, Carvalho ACP de LF de, Lorena AC. Ensembles of pre-processing techniques for noise detection in gene expression data [Internet]. Lecture Notes in Computer Science. 2009 ; 5506 486-493.[citado 2025 nov. 05 ] Available from: http://www.springerlink.com/content/71w8h74384657330
Trabalho de evento-anais periodico
Consensus clustering using spectral theory (2009)
Nascimento, Mariá Cristina Vasconcelos; Toledo, Franklina Maria Bragion de ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference - ICONIP 2008. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NASCIMENTO, Mariá Cristina Vasconcelos e TOLEDO, Franklina Maria Bragion de e CARVALHO, André Carlos Ponce de Leon Ferreira de. Consensus clustering using spectral theory. Lecture Notes in Computer Science. Heidelberg: Springer. Disponível em: http://www.springerlink.com/content/x21m71032jx80438. Acesso em: 05 nov. 2025. , 2009
APA
Nascimento, M. C. V., Toledo, F. M. B. de, & Carvalho, A. C. P. de L. F. de. (2009). Consensus clustering using spectral theory. Lecture Notes in Computer Science. Heidelberg: Springer. Recuperado de http://www.springerlink.com/content/x21m71032jx80438
NLM
Nascimento MCV, Toledo FMB de, Carvalho ACP de LF de. Consensus clustering using spectral theory [Internet]. Lecture Notes in Computer Science. 2009 ; 5506 461-468.[citado 2025 nov. 05 ] Available from: http://www.springerlink.com/content/x21m71032jx80438
Vancouver
Nascimento MCV, Toledo FMB de, Carvalho ACP de LF de. Consensus clustering using spectral theory [Internet]. Lecture Notes in Computer Science. 2009 ; 5506 461-468.[citado 2025 nov. 05 ] Available from: http://www.springerlink.com/content/x21m71032jx80438

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