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Trabalho de evento-anais periodico
A context-aware recommender method based on text mining (2019)
Sundermann, Camila Vaccari ; Padua, Renan de; Tonon, Vitor Rodrigues; Domingues, Marcos Aurélio ; Rezende, Solange Oliveira
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: EPIA Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Assuntos: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, FATORIZAÇÃO DE MATRIZES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SUNDERMANN, Camila Vaccari et al. A context-aware recommender method based on text mining. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-30244-3_32. Acesso em: 05 nov. 2025. , 2019
APA
Sundermann, C. V., Padua, R. de, Tonon, V. R., Domingues, M. A., & Rezende, S. O. (2019). A context-aware recommender method based on text mining. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-30244-3_32
NLM
Sundermann CV, Padua R de, Tonon VR, Domingues MA, Rezende SO. A context-aware recommender method based on text mining [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 385-396.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_32
Vancouver
Sundermann CV, Padua R de, Tonon VR, Domingues MA, Rezende SO. A context-aware recommender method based on text mining [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 385-396.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_32
Trabalho de evento-anais periodico
Feature-based time series classification for service request opening prediction in the telecom industry (2019)
Pereira, Fabíola Souza Fernandes; Carvalho, André Carlos Ponce de Leon Ferreira de ; Assis, Rafael; Costa, Maxley; Faria, Elaine R ; Julia, Rita Maria Silva; Barcelos, Umberto; Melo, Jony
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: EPIA Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, TELECOMUNICAÇÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Fabíola Souza Fernandes et al. Feature-based time series classification for service request opening prediction in the telecom industry. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-30244-3_11. Acesso em: 05 nov. 2025. , 2019
APA
Pereira, F. S. F., Carvalho, A. C. P. de L. F. de, Assis, R., Costa, M., Faria, E. R., Julia, R. M. S., et al. (2019). Feature-based time series classification for service request opening prediction in the telecom industry. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-30244-3_11
NLM
Pereira FSF, Carvalho ACP de LF de, Assis R, Costa M, Faria ER, Julia RMS, Barcelos U, Melo J. Feature-based time series classification for service request opening prediction in the telecom industry [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 120-132.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_11
Vancouver
Pereira FSF, Carvalho ACP de LF de, Assis R, Costa M, Faria ER, Julia RMS, Barcelos U, Melo J. Feature-based time series classification for service request opening prediction in the telecom industry [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 120-132.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_11
Trabalho de evento-anais periodico
Online clustering for novelty detection and concept drift in data streams (2019)
Garcia, Kemilly Dearo; Poel, Mannes ; Kok, Joost N ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: EPIA Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Kemilly Dearo et al. Online clustering for novelty detection and concept drift in data streams. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-30244-3_37. Acesso em: 05 nov. 2025. , 2019
APA
Garcia, K. D., Poel, M., Kok, J. N., & Carvalho, A. C. P. de L. F. de. (2019). Online clustering for novelty detection and concept drift in data streams. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-30244-3_37
NLM
Garcia KD, Poel M, Kok JN, Carvalho ACP de LF de. Online clustering for novelty detection and concept drift in data streams [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 448-459.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_37
Vancouver
Garcia KD, Poel M, Kok JN, Carvalho ACP de LF de. Online clustering for novelty detection and concept drift in data streams [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 448-459.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_37
Trabalho de evento-anais periodico
Improving the AHT in telecommunication companies by automatic modeling of call center service (2019)
Castro Neto, Henrique de; Julia, Rita Maria Silva; Paiva, Elaine Ribeiro Faria ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Santos Junior, Anisio Pereira; Peres, Diansley Raphael Santos; Julia, Etienne Silva; Melo, Jony Teixeira de; Barcelos, Umberto Maia; Assis, Josiane Esteves de
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: EPIA Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Assuntos: DESCOBERTA DE CONHECIMENTO, MINERAÇÃO DE DADOS, SERVIÇO AO CLIENTE, TELECOMUNICAÇÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTRO NETO, Henrique de et al. Improving the AHT in telecommunication companies by automatic modeling of call center service. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-30244-3_9. Acesso em: 05 nov. 2025. , 2019
APA
Castro Neto, H. de, Julia, R. M. S., Paiva, E. R. F., Carvalho, A. C. P. de L. F. de, Santos Junior, A. P., Peres, D. R. S., et al. (2019). Improving the AHT in telecommunication companies by automatic modeling of call center service. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-30244-3_9
NLM
Castro Neto H de, Julia RMS, Paiva ERF, Carvalho ACP de LF de, Santos Junior AP, Peres DRS, Julia ES, Melo JT de, Barcelos UM, Assis JE de. Improving the AHT in telecommunication companies by automatic modeling of call center service [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 96-107.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_9
Vancouver
Castro Neto H de, Julia RMS, Paiva ERF, Carvalho ACP de LF de, Santos Junior AP, Peres DRS, Julia ES, Melo JT de, Barcelos UM, Assis JE de. Improving the AHT in telecommunication companies by automatic modeling of call center service [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 96-107.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_9
Trabalho de evento-anais periodico
Food truck recommendation using multi-label classification (2017)
Rivolli, Adriano; Parker, Larissa C; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: EPIA Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIVOLLI, Adriano e PARKER, Larissa C e CARVALHO, André Carlos Ponce de Leon Ferreira de. Food truck recommendation using multi-label classification. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-65340-2_48. Acesso em: 05 nov. 2025. , 2017
APA
Rivolli, A., Parker, L. C., & Carvalho, A. C. P. de L. F. de. (2017). Food truck recommendation using multi-label classification. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-319-65340-2_48
NLM
Rivolli A, Parker LC, Carvalho ACP de LF de. Food truck recommendation using multi-label classification [Internet]. Lecture Notes in Artificial Intelligence. 2017 ; 10423 585-596.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-65340-2_48
Vancouver
Rivolli A, Parker LC, Carvalho ACP de LF de. Food truck recommendation using multi-label classification [Internet]. Lecture Notes in Artificial Intelligence. 2017 ; 10423 585-596.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-65340-2_48

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