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Trabalho de evento-anais periodico
Generalizing and unifying gray-box combinatorial optimization operators (2024)
Chicano, Francisco; Whitley, Darrell; Ochoa, Gabriela; Tinós, Renato
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Parallel Problem Solving from Nature (PPSN). Unidade: FFCLRP
Assuntos: MATEMÁTICA, OPERADORES, OTIMIZAÇÃO COMBINATÓRIA
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ABNT
CHICANO, Francisco et al. Generalizing and unifying gray-box combinatorial optimization operators. Lecture Notes in Computer Science. Hagenberg: Springer International Publishing. Disponível em: https://doi.org/10.1007/978-3-031-70055-2_4. Acesso em: 05 jul. 2025. , 2024
APA
Chicano, F., Whitley, D., Ochoa, G., & Tinós, R. (2024). Generalizing and unifying gray-box combinatorial optimization operators. Lecture Notes in Computer Science. Hagenberg: Springer International Publishing. doi:10.1007/978-3-031-70055-2_4
NLM
Chicano F, Whitley D, Ochoa G, Tinós R. Generalizing and unifying gray-box combinatorial optimization operators [Internet]. Lecture Notes in Computer Science. 2024 ; 15148 52–67.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-70055-2_4
Vancouver
Chicano F, Whitley D, Ochoa G, Tinós R. Generalizing and unifying gray-box combinatorial optimization operators [Internet]. Lecture Notes in Computer Science. 2024 ; 15148 52–67.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-70055-2_4
Trabalho de evento-anais periodico
A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems (2021)
Contreras, Rodrigo Colnago ; Nonato, Luis Gustavo ; Boaventura, Maurílio ; Boaventura, Ines Aparecida Gasparotto ; Coelho, Bruno Gomes ; Viana, Monique Simplicio
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Artificial Intelligence and Soft Computing - ICAISC. Unidade: ICMC
Assuntos: DATILOSCOPIA, RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE SINAIS
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ABNT
CONTRERAS, Rodrigo Colnago et al. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-87897-9_39. Acesso em: 05 jul. 2025. , 2021
APA
Contreras, R. C., Nonato, L. G., Boaventura, M., Boaventura, I. A. G., Coelho, B. G., & Viana, M. S. (2021). A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-87897-9_39
NLM
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Coelho BG, Viana MS. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems [Internet]. Lecture Notes in Computer Science. 2021 ; 12855 442-455.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-87897-9_39
Vancouver
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Coelho BG, Viana MS. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems [Internet]. Lecture Notes in Computer Science. 2021 ; 12855 442-455.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-87897-9_39
Trabalho de evento-anais periodico
Quasi-optimal recombination operator (2019)
Chicano, Francisco ; Ochoa, Gabriela ; Whitley, Darrell; Tinós, Renato
Fonte: Lecture Notes in Computer Science. Nome do evento: European Conference on Evolutionary Computation in Combinatorial Optimization - EvoCOP. Unidade: FFCLRP
Assuntos: OPERADORES, CIÊNCIA DA COMPUTAÇÃO, OTIMIZAÇÃO COMBINATÓRIA
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ABNT
CHICANO, Francisco et al. Quasi-optimal recombination operator. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-16711-0_9. Acesso em: 05 jul. 2025. , 2019
APA
Chicano, F., Ochoa, G., Whitley, D., & Tinós, R. (2019). Quasi-optimal recombination operator. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-16711-0_9
NLM
Chicano F, Ochoa G, Whitley D, Tinós R. Quasi-optimal recombination operator [Internet]. Lecture Notes in Computer Science. 2019 ; 11452 131-146.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-16711-0_9
Vancouver
Chicano F, Ochoa G, Whitley D, Tinós R. Quasi-optimal recombination operator [Internet]. Lecture Notes in Computer Science. 2019 ; 11452 131-146.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-16711-0_9
Trabalho de evento-anais periodico
Efficient recombination in the Lin-Kernighan-Helsgaun traveling salesman heuristic (2018)
Tinós, Renato ; Helsgaun, Keld; Whitley, Darrell
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Parallel Problem Solving from Nature (PPSN). Unidade: FFCLRP
Assuntos: OTIMIZAÇÃO COMBINATÓRIA, MATEMÁTICA DA COMPUTAÇÃO, CIÊNCIA DA COMPUTAÇÃO
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ABNT
TINÓS, Renato e HELSGAUN, Keld e WHITLEY, Darrell. Efficient recombination in the Lin-Kernighan-Helsgaun traveling salesman heuristic. Lecture Notes in Computer Science. Cham: Springer International Publishing. Disponível em: https://doi.org/10.1007/978-3-319-99253-2_8. Acesso em: 05 jul. 2025. , 2018
APA
Tinós, R., Helsgaun, K., & Whitley, D. (2018). Efficient recombination in the Lin-Kernighan-Helsgaun traveling salesman heuristic. Lecture Notes in Computer Science. Cham: Springer International Publishing. doi:10.1007/978-3-319-99253-2_8
NLM
Tinós R, Helsgaun K, Whitley D. Efficient recombination in the Lin-Kernighan-Helsgaun traveling salesman heuristic [Internet]. Lecture Notes in Computer Science. 2018 ; 11101 95-107.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-319-99253-2_8
Vancouver
Tinós R, Helsgaun K, Whitley D. Efficient recombination in the Lin-Kernighan-Helsgaun traveling salesman heuristic [Internet]. Lecture Notes in Computer Science. 2018 ; 11101 95-107.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-319-99253-2_8
Trabalho de evento-anais periodico
Analysis of permanence time in emotional states: a case study using educational software (2018)
Reis, Helena; Alvares, Danilo; Jaques, Patricia; Isotani, Seiji
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Tutoring Systems - ITS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ÁLGEBRA, ESTADOS EMOCIONAIS, ENSINO E APRENDIZAGEM
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ABNT
REIS, Helena et al. Analysis of permanence time in emotional states: a case study using educational software. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-91464-0_18. Acesso em: 05 jul. 2025. , 2018
APA
Reis, H., Alvares, D., Jaques, P., & Isotani, S. (2018). Analysis of permanence time in emotional states: a case study using educational software. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-91464-0_18
NLM
Reis H, Alvares D, Jaques P, Isotani S. Analysis of permanence time in emotional states: a case study using educational software [Internet]. Lecture Notes in Computer Science. 2018 ; 10858 180-190.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-319-91464-0_18
Vancouver
Reis H, Alvares D, Jaques P, Isotani S. Analysis of permanence time in emotional states: a case study using educational software [Internet]. Lecture Notes in Computer Science. 2018 ; 10858 180-190.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-319-91464-0_18
Trabalho de evento-anais periodico
A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil (2015)
Furquim, Gustavo; Pessin, Gustavo; Gomes, Pedro H; Mendiondo, Eduardo Mario ; Ueyama, Jó
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference Intelligent Data Engineering and Automated Learning – IDEAL. Unidades: EESC, ICMC
Assuntos: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE
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ABNT
FURQUIM, Gustavo et al. A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-24834-9_56. Acesso em: 05 jul. 2025. , 2015
APA
Furquim, G., Pessin, G., Gomes, P. H., Mendiondo, E. M., & Ueyama, J. (2015). A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-24834-9_56
NLM
Furquim G, Pessin G, Gomes PH, Mendiondo EM, Ueyama J. A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-319-24834-9_56
Vancouver
Furquim G, Pessin G, Gomes PH, Mendiondo EM, Ueyama J. A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-319-24834-9_56
Trabalho de evento-anais periodico
Interactive image colorization using laplacian coordinates (2015)
Casaca, Wallace; Colnago, Marilaine; Nonato, Luis Gustavo
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computer Analysis of Images and Patterns - CAIP. Unidade: ICMC
Assuntos: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, GEOMETRIA COMPUTACIONAL
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ABNT
CASACA, Wallace e COLNAGO, Marilaine e NONATO, Luis Gustavo. Interactive image colorization using laplacian coordinates. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-23117-4_58. Acesso em: 05 jul. 2025. , 2015
APA
Casaca, W., Colnago, M., & Nonato, L. G. (2015). Interactive image colorization using laplacian coordinates. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-23117-4_58
NLM
Casaca W, Colnago M, Nonato LG. Interactive image colorization using laplacian coordinates [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-319-23117-4_58
Vancouver
Casaca W, Colnago M, Nonato LG. Interactive image colorization using laplacian coordinates [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-319-23117-4_58
Trabalho de evento-anais periodico
A distributed approach to flood prediction using a WSN and ML: a comparative study of ML techniques in a WSN deployed in Brazil (2015)
Furquim, Gustavo; Pessin, Gustavo ; Gomes, Pedro H; Mendiondo, Eduardo Mario ; Ueyama, Jó
Fonte: Lecture Notes in Computer Science. Nome do evento: Intelligent Data Engineering and Automated Learning - IDEAL 2015. Unidades: EESC, ICMC
Assuntos: ENCHENTES URBANAS, WIRELESS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FURQUIM, Gustavo et al. A distributed approach to flood prediction using a WSN and ML: a comparative study of ML techniques in a WSN deployed in Brazil. Lecture Notes in Computer Science. Cham: Springer International Publishing. Disponível em: https://doi.org/10.1007/978-3-319-24834-9_56. Acesso em: 05 jul. 2025. , 2015
APA
Furquim, G., Pessin, G., Gomes, P. H., Mendiondo, E. M., & Ueyama, J. (2015). A distributed approach to flood prediction using a WSN and ML: a comparative study of ML techniques in a WSN deployed in Brazil. Lecture Notes in Computer Science. Cham: Springer International Publishing. doi:10.1007/978-3-319-24834-9_56
NLM
Furquim G, Pessin G, Gomes PH, Mendiondo EM, Ueyama J. A distributed approach to flood prediction using a WSN and ML: a comparative study of ML techniques in a WSN deployed in Brazil [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-319-24834-9_56
Vancouver
Furquim G, Pessin G, Gomes PH, Mendiondo EM, Ueyama J. A distributed approach to flood prediction using a WSN and ML: a comparative study of ML techniques in a WSN deployed in Brazil [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-319-24834-9_56

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