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Artigo de periodico
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms (2024)
Mantovani, Rafael Gomes ; Horváth, Tomás ; Rossi, André Luis Debiaso ; Cerri, Ricardo ; Barbon Júnior, Sylvio ; Vanschoren, Joaquin ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Data Mining and Knowledge Discovery. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS
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ABNT
MANTOVANI, Rafael Gomes et al. Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. Data Mining and Knowledge Discovery, v. 38, n. 3, p. 1364-1416, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10618-024-01002-5. Acesso em: 16 nov. 2024.
APA
Mantovani, R. G., Horváth, T., Rossi, A. L. D., Cerri, R., Barbon Júnior, S., Vanschoren, J., & Carvalho, A. C. P. de L. F. de. (2024). Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. Data Mining and Knowledge Discovery, 38( 3), 1364-1416. doi:10.1007/s10618-024-01002-5
NLM
Mantovani RG, Horváth T, Rossi ALD, Cerri R, Barbon Júnior S, Vanschoren J, Carvalho ACP de LF de. Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms [Internet]. Data Mining and Knowledge Discovery. 2024 ; 38( 3): 1364-1416.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s10618-024-01002-5
Vancouver
Mantovani RG, Horváth T, Rossi ALD, Cerri R, Barbon Júnior S, Vanschoren J, Carvalho ACP de LF de. Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms [Internet]. Data Mining and Knowledge Discovery. 2024 ; 38( 3): 1364-1416.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s10618-024-01002-5
Trabalho de evento-anais periodico
Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification (2022)
Baz, Adrian El; Ullah, Ihsan; Alcobaça, Edesio ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Chen, Hong; Ferreira, Fábio; Gouk, Henry; Guan, Chaoyu; Guyon, Isabelle; Hospedales, Timothy; Hu, Shell; Huisman, Mike ; Hutter, Frank ; Liu, Zhengying; Mohr, Felix ; Öztürk, Ekrem ; Rijn, Jan N. van ; Sun, Haozhe; Wang, Xin; Zhu, Wenwu
Source: Proceedings of Machine Learning Research : PMLR. Conference titles: Conference on Neural Information Processing Systems - NeurIPS. Unidade: ICMC
Assunto: APRENDIZADO COMPUTACIONAL
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ABNT
BAZ, Adrian El et al. Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Disponível em: https://proceedings.mlr.press/v176/el-baz22a.html. Acesso em: 16 nov. 2024. , 2022
APA
Baz, A. E., Ullah, I., Alcobaça, E., Carvalho, A. C. P. de L. F. de, Chen, H., Ferreira, F., et al. (2022). Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Recuperado de https://proceedings.mlr.press/v176/el-baz22a.html
NLM
Baz AE, Ullah I, Alcobaça E, Carvalho ACP de LF de, Chen H, Ferreira F, Gouk H, Guan C, Guyon I, Hospedales T, Hu S, Huisman M, Hutter F, Liu Z, Mohr F, Öztürk E, Rijn JN van, Sun H, Wang X, Zhu W. Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 176 80-96.[citado 2024 nov. 16 ] Available from: https://proceedings.mlr.press/v176/el-baz22a.html
Vancouver
Baz AE, Ullah I, Alcobaça E, Carvalho ACP de LF de, Chen H, Ferreira F, Gouk H, Guan C, Guyon I, Hospedales T, Hu S, Huisman M, Hutter F, Liu Z, Mohr F, Öztürk E, Rijn JN van, Sun H, Wang X, Zhu W. Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 176 80-96.[citado 2024 nov. 16 ] Available from: https://proceedings.mlr.press/v176/el-baz22a.html
Artigo de periodico
Meta-features for meta-learning (2022)
Rivolli, Adriano ; Garcia, Luís Paulo Faina ; Soares, Carlos; Vanschoren, Joaquin ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Knowledge-Based Systems. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS E ESTRUTURAS DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIVOLLI, Adriano et al. Meta-features for meta-learning. Knowledge-Based Systems, v. 240, p. 1-21, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2021.108101. Acesso em: 16 nov. 2024.
APA
Rivolli, A., Garcia, L. P. F., Soares, C., Vanschoren, J., & Carvalho, A. C. P. de L. F. de. (2022). Meta-features for meta-learning. Knowledge-Based Systems, 240, 1-21. doi:10.1016/j.knosys.2021.108101
NLM
Rivolli A, Garcia LPF, Soares C, Vanschoren J, Carvalho ACP de LF de. Meta-features for meta-learning [Internet]. Knowledge-Based Systems. 2022 ; 240 1-21.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.knosys.2021.108101
Vancouver
Rivolli A, Garcia LPF, Soares C, Vanschoren J, Carvalho ACP de LF de. Meta-features for meta-learning [Internet]. Knowledge-Based Systems. 2022 ; 240 1-21.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.knosys.2021.108101
Artigo de periodico
An ensemble of autonomous auto-encoders for human activity recognition (2021)
Garcia, Kemilly Dearo ; Sá, Cláudio Rebelo de ; Poel, Mannes ; Carvalho, Tiago de ; Mendes-Moreira, João ; Cardoso, João Manuel Paiva ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Kok, Joost N
Source: Neurocomputing. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Kemilly Dearo et al. An ensemble of autonomous auto-encoders for human activity recognition. Neurocomputing, v. 439, p. 271-280, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2020.01.125. Acesso em: 16 nov. 2024.
APA
Garcia, K. D., Sá, C. R. de, Poel, M., Carvalho, T. de, Mendes-Moreira, J., Cardoso, J. M. P., et al. (2021). An ensemble of autonomous auto-encoders for human activity recognition. Neurocomputing, 439, 271-280. doi:10.1016/j.neucom.2020.01.125
NLM
Garcia KD, Sá CR de, Poel M, Carvalho T de, Mendes-Moreira J, Cardoso JMP, Carvalho ACP de LF de, Kok JN. An ensemble of autonomous auto-encoders for human activity recognition [Internet]. Neurocomputing. 2021 ; 439 271-280.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.neucom.2020.01.125
Vancouver
Garcia KD, Sá CR de, Poel M, Carvalho T de, Mendes-Moreira J, Cardoso JMP, Carvalho ACP de LF de, Kok JN. An ensemble of autonomous auto-encoders for human activity recognition [Internet]. Neurocomputing. 2021 ; 439 271-280.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.neucom.2020.01.125
Trabalho de evento-anais periodico
A study on hyperparameter configuration for human activity recognition (2020)
Garcia, Kemilly Dearo; Carvalho, Tiago; Moreira, João Mendes; Cardoso, João M. P; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Advances in Intelligent Systems and Computing. Conference titles: International Conference on Soft Computing Models in Industrial and Environmental Applications - SOCO. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COMPUTAÇÃO MÓVEL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Kemilly Dearo et al. A study on hyperparameter configuration for human activity recognition. Advances in Intelligent Systems and Computing. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-20055-8_5. Acesso em: 16 nov. 2024. , 2020
APA
Garcia, K. D., Carvalho, T., Moreira, J. M., Cardoso, J. M. P., & Carvalho, A. C. P. de L. F. de. (2020). A study on hyperparameter configuration for human activity recognition. Advances in Intelligent Systems and Computing. Cham: Springer. doi:10.1007/978-3-030-20055-8_5
NLM
Garcia KD, Carvalho T, Moreira JM, Cardoso JMP, Carvalho ACP de LF de. A study on hyperparameter configuration for human activity recognition [Internet]. Advances in Intelligent Systems and Computing. 2020 ; 950 47-56.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-030-20055-8_5
Vancouver
Garcia KD, Carvalho T, Moreira JM, Cardoso JMP, Carvalho ACP de LF de. A study on hyperparameter configuration for human activity recognition [Internet]. Advances in Intelligent Systems and Computing. 2020 ; 950 47-56.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-030-20055-8_5
Artigo de periodico
A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers (2019)
Mantovani, Rafael G; Rossi, André Luis Debiaso; Alcobaça, Edesio; Vanschoren, Joaquin; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, MÉTODOS ESTATÍSTICOS PARA APRENDIZAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MANTOVANI, Rafael G et al. A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers. Information Sciences, v. 501, p. 193-221, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2019.06.005. Acesso em: 16 nov. 2024.
APA
Mantovani, R. G., Rossi, A. L. D., Alcobaça, E., Vanschoren, J., & Carvalho, A. C. P. de L. F. de. (2019). A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers. Information Sciences, 501, 193-221. doi:10.1016/j.ins.2019.06.005
NLM
Mantovani RG, Rossi ALD, Alcobaça E, Vanschoren J, Carvalho ACP de LF de. A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers [Internet]. Information Sciences. 2019 ; 501 193-221.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.ins.2019.06.005
Vancouver
Mantovani RG, Rossi ALD, Alcobaça E, Vanschoren J, Carvalho ACP de LF de. A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers [Internet]. Information Sciences. 2019 ; 501 193-221.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.ins.2019.06.005
Trabalho de evento-anais periodico
Ensemble clustering for novelty detection in data streams (2019)
Garcia, Kemilly Dearo ; Faria, Elaine Ribeiro de; Sá, Cláudio Rebelo de ; Mendes-Moreira, João ; Aggarwal, Charu C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Kok, Joost N
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Discovery Science - DS. Unidade: ICMC
Subjects: 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. Ensemble clustering for novelty detection in data streams. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-33778-0_34. Acesso em: 16 nov. 2024. , 2019
APA
Garcia, K. D., Faria, E. R. de, Sá, C. R. de, Mendes-Moreira, J., Aggarwal, C. C., Carvalho, A. C. P. de L. F. de, & Kok, J. N. (2019). Ensemble clustering for novelty detection in data streams. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-33778-0_34
NLM
Garcia KD, Faria ER de, Sá CR de, Mendes-Moreira J, Aggarwal CC, Carvalho ACP de LF de, Kok JN. Ensemble clustering for novelty detection in data streams [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11828 460-470.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-030-33778-0_34
Vancouver
Garcia KD, Faria ER de, Sá CR de, Mendes-Moreira J, Aggarwal CC, Carvalho ACP de LF de, Kok JN. Ensemble clustering for novelty detection in data streams [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11828 460-470.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-030-33778-0_34
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
Source: Lecture Notes in Artificial Intelligence. Conference titles: EPIA Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Subjects: 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: 16 nov. 2024. , 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 2024 nov. 16 ] 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 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_37
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
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, ANÁLISE ESTATÍSTICA DE DADOS, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 16 nov. 2024. , 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 2024 nov. 16 ] 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 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-030-03493-1_63
Trabalho de evento
Hyper-parameter tuning of a decision tree induction algorithm (2016)
Mantovani, Rafael G; Horváth, Tomás; Cerri, Ricardo; Vanschoren, Joaquin; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MANTOVANI, Rafael G et al. Hyper-parameter tuning of a decision tree induction algorithm. 2016, Anais.. Piscataway: IEEE, 2016. Disponível em: https://doi.org/10.1109/BRACIS.2016.018. Acesso em: 16 nov. 2024.
APA
Mantovani, R. G., Horváth, T., Cerri, R., Vanschoren, J., & Carvalho, A. C. P. de L. F. de. (2016). Hyper-parameter tuning of a decision tree induction algorithm. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2016.018
NLM
Mantovani RG, Horváth T, Cerri R, Vanschoren J, Carvalho ACP de LF de. Hyper-parameter tuning of a decision tree induction algorithm [Internet]. Proceedings. 2016 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/BRACIS.2016.018
Vancouver
Mantovani RG, Horváth T, Cerri R, Vanschoren J, Carvalho ACP de LF de. Hyper-parameter tuning of a decision tree induction algorithm [Internet]. Proceedings. 2016 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/BRACIS.2016.018

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