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Artigo de periodico
BioPrediction-RPI: democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning (2024)
Florentino, Bruno Rafael ; Bonidia, Robson Parmezan ; Sanches, Natan Henrique ; Rocha, Ulisses Nunes da ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: Computational and Structural Biotechnology Journal. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS, BIOINFORMÁTICA, GENÔMICA
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ABNT
FLORENTINO, Bruno Rafael et al. BioPrediction-RPI: democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning. Computational and Structural Biotechnology Journal, v. 23, p. 2267-2276, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.csbj.2024.05.031. Acesso em: 15 nov. 2024.
APA
Florentino, B. R., Bonidia, R. P., Sanches, N. H., Rocha, U. N. da, & Carvalho, A. C. P. de L. F. de. (2024). BioPrediction-RPI: democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning. Computational and Structural Biotechnology Journal, 23, 2267-2276. doi:10.1016/j.csbj.2024.05.031
NLM
Florentino BR, Bonidia RP, Sanches NH, Rocha UN da, Carvalho ACP de LF de. BioPrediction-RPI: democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning [Internet]. Computational and Structural Biotechnology Journal. 2024 ; 23 2267-2276.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.csbj.2024.05.031
Vancouver
Florentino BR, Bonidia RP, Sanches NH, Rocha UN da, Carvalho ACP de LF de. BioPrediction-RPI: democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning [Internet]. Computational and Structural Biotechnology Journal. 2024 ; 23 2267-2276.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.csbj.2024.05.031
Artigo de periodico
Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies (2024)
Vitório, Douglas ; Souza, Ellen Polliana Ramos ; Martins, Lucas Fernandes; Silva, Nádia Felix Felipe da ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Oliveira, Adriano Lorena Inacio de ; Andrade, Francisco Edmundo de
Source: Language Resources and Evaluation. Unidades: ICMC, EESC E ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, CORPUS, PORTUGUÊS DO BRASIL
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VITÓRIO, Douglas et al. Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies. Language Resources and Evaluation, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10579-024-09767-3. Acesso em: 15 nov. 2024.
APA
Vitório, D., Souza, E. P. R., Martins, L. F., Silva, N. F. F. da, Carvalho, A. C. P. de L. F. de, Oliveira, A. L. I. de, & Andrade, F. E. de. (2024). Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies. Language Resources and Evaluation. doi:10.1007/s10579-024-09767-3
NLM
Vitório D, Souza EPR, Martins LF, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de, Andrade FE de. Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies [Internet]. Language Resources and Evaluation. 2024 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10579-024-09767-3
Vancouver
Vitório D, Souza EPR, Martins LF, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de, Andrade FE de. Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies [Internet]. Language Resources and Evaluation. 2024 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10579-024-09767-3
Artigo de periodico
Segmenting brazilian legislative text using weak supervision and active learning (2024)
Siqueira, Felipe Alves ; Pressato, Diany ; Pereira, Fabíola Souza Fernandes ; Silva, Nádia Felix Felipe da ; Souza, Ellen Polliana Ramos ; Dias, Márcio de Souza ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: Artificial Intelligence and Law. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, APRENDIZADO COMPUTACIONAL, PORTUGUÊS DO BRASIL
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SIQUEIRA, Felipe Alves et al. Segmenting brazilian legislative text using weak supervision and active learning. Artificial Intelligence and Law, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10506-024-09419-5. Acesso em: 15 nov. 2024.
APA
Siqueira, F. A., Pressato, D., Pereira, F. S. F., Silva, N. F. F. da, Souza, E. P. R., Dias, M. de S., & Carvalho, A. C. P. de L. F. de. (2024). Segmenting brazilian legislative text using weak supervision and active learning. Artificial Intelligence and Law. doi:10.1007/s10506-024-09419-5
NLM
Siqueira FA, Pressato D, Pereira FSF, Silva NFF da, Souza EPR, Dias M de S, Carvalho ACP de LF de. Segmenting brazilian legislative text using weak supervision and active learning [Internet]. Artificial Intelligence and Law. 2024 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10506-024-09419-5
Vancouver
Siqueira FA, Pressato D, Pereira FSF, Silva NFF da, Souza EPR, Dias M de S, Carvalho ACP de LF de. Segmenting brazilian legislative text using weak supervision and active learning [Internet]. Artificial Intelligence and Law. 2024 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10506-024-09419-5
Trabalho de evento-resumo periodico
Convnext for the classification of oral potentially malignant disorders and squamous cell carcinoma (2024)
Araujo, Anna Luiza Damaceno ; Souza, Eduardo Santos Carlos de; Saldivia-Siracusa, Cristina ; Lopes, Márcio Ajudarte ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Santos-Silva, Alan Roger dos ; Kowalski, Luiz Paulo
Source: Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. Conference titles: Brazilian Congress of Stomatology and Oral Pathology - SOBEP. Unidades: ICMC, FM
Subjects: APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE IMAGEM, NEOPLASIAS BUCAIS, NEOPLASIAS DE CABEÇA E PESCOÇO, TECNOLOGIAS DA SAÚDE
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ABNT
ARAUJO, Anna Luiza Damaceno et al. Convnext for the classification of oral potentially malignant disorders and squamous cell carcinoma. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. New York: Elsevier. Disponível em: https://doi.org/10.1016/j.oooo.2023.12.694. Acesso em: 15 nov. 2024. , 2024
APA
Araujo, A. L. D., Souza, E. S. C. de, Saldivia-Siracusa, C., Lopes, M. A., Carvalho, A. C. P. de L. F. de, Santos-Silva, A. R. dos, & Kowalski, L. P. (2024). Convnext for the classification of oral potentially malignant disorders and squamous cell carcinoma. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. New York: Elsevier. doi:10.1016/j.oooo.2023.12.694
NLM
Araujo ALD, Souza ESC de, Saldivia-Siracusa C, Lopes MA, Carvalho ACP de LF de, Santos-Silva AR dos, Kowalski LP. Convnext for the classification of oral potentially malignant disorders and squamous cell carcinoma [Internet]. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 2024 ; 137( 6): e296-e297.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.oooo.2023.12.694
Vancouver
Araujo ALD, Souza ESC de, Saldivia-Siracusa C, Lopes MA, Carvalho ACP de LF de, Santos-Silva AR dos, Kowalski LP. Convnext for the classification of oral potentially malignant disorders and squamous cell carcinoma [Internet]. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 2024 ; 137( 6): e296-e297.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.oooo.2023.12.694
Artigo de periodico
Forecasting financial market structure from network features using machine learning (2024)
Castilho, Douglas; Souza, Thársis Tuani Pinto; Kang, Soong Moon; Gama, João ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: Knowledge and Information Systems. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), REDES COMPLEXAS, MERCADO FINANCEIRO
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ABNT
CASTILHO, Douglas et al. Forecasting financial market structure from network features using machine learning. Knowledge and Information Systems, v. 66, n. 8, p. 4497-4525, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10115-024-02095-6. Acesso em: 15 nov. 2024.
APA
Castilho, D., Souza, T. T. P., Kang, S. M., Gama, J., & Carvalho, A. C. P. de L. F. de. (2024). Forecasting financial market structure from network features using machine learning. Knowledge and Information Systems, 66( 8), 4497-4525. doi:10.1007/s10115-024-02095-6
NLM
Castilho D, Souza TTP, Kang SM, Gama J, Carvalho ACP de LF de. Forecasting financial market structure from network features using machine learning [Internet]. Knowledge and Information Systems. 2024 ; 66( 8): 4497-4525.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10115-024-02095-6
Vancouver
Castilho D, Souza TTP, Kang SM, Gama J, Carvalho ACP de LF de. Forecasting financial market structure from network features using machine learning [Internet]. Knowledge and Information Systems. 2024 ; 66( 8): 4497-4525.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10115-024-02095-6
Artigo de periodico
What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes (2024)
Marana, Fernanda Tostes ; Fernandes, Renato da Silva ; Bazán Guzmán, Jorge Luis ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Cúri, Mariana
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: SISTEMAS DE RECOMENDAÇÃO, APRENDIZADO COMPUTACIONAL, TEORIA DE RESPOSTA AO ITEM
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ABNT
MARANA, Fernanda Tostes et al. What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes. Expert Systems with Applications, v. 245, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.122981. Acesso em: 15 nov. 2024.
APA
Marana, F. T., Fernandes, R. da S., Bazán Guzmán, J. L., Carvalho, A. C. P. de L. F. de, & Cúri, M. (2024). What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes. Expert Systems with Applications, 245, 1-12. doi:10.1016/j.eswa.2023.122981
NLM
Marana FT, Fernandes R da S, Bazán Guzmán JL, Carvalho ACP de LF de, Cúri M. What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes [Internet]. Expert Systems with Applications. 2024 ; 245 1-12.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.eswa.2023.122981
Vancouver
Marana FT, Fernandes R da S, Bazán Guzmán JL, Carvalho ACP de LF de, Cúri M. What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes [Internet]. Expert Systems with Applications. 2024 ; 245 1-12.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.eswa.2023.122981
Artigo de periodico
BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification (2024)
Santos, Anderson Paulo Avila ; Almeida, Breno Lívio Silva de ; Bonidia, Robson Parmezan ; Stadler, Peter F ; Štefanič, Polonca; Mandic-Mulec, Ines; Rocha, Ulisses Nunes da ; Sanches, Danilo Sipoli ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: RNA Biology. Unidades: ICMC, EESC E ICMC
Subjects: BIOINFORMÁTICA, APRENDIZAGEM PROFUNDA, REDES NEURAIS, RNA, REGULAÇÃO GÊNICA, GENÔMICA
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ABNT
SANTOS, Anderson Paulo Avila et al. BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification. RNA Biology, v. 21, n. 1, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1080/15476286.2024.2329451. Acesso em: 15 nov. 2024.
APA
Santos, A. P. A., Almeida, B. L. S. de, Bonidia, R. P., Stadler, P. F., Štefanič, P., Mandic-Mulec, I., et al. (2024). BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification. RNA Biology, 21( 1), 1-12. doi:10.1080/15476286.2024.2329451
NLM
Santos APA, Almeida BLS de, Bonidia RP, Stadler PF, Štefanič P, Mandic-Mulec I, Rocha UN da, Sanches DS, Carvalho ACP de LF de. BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification [Internet]. RNA Biology. 2024 ; 21( 1): 1-12.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/15476286.2024.2329451
Vancouver
Santos APA, Almeida BLS de, Bonidia RP, Stadler PF, Štefanič P, Mandic-Mulec I, Rocha UN da, Sanches DS, Carvalho ACP de LF de. BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification [Internet]. RNA Biology. 2024 ; 21( 1): 1-12.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/15476286.2024.2329451
Artigo de periodico
Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: a systematic review (2024)
Giraldo-Roldán, Daniela ; Araujo, Anna Luiza Damaceno ; Moraes, Matheus Cardoso ; Silva, Viviane Mariano da ; Ribeiro, Erin Crespo Cordeiro ; Pinto, Matheus Henrique de Cerqueira ; Saldivia-Siracusa, Cristina ; Sousa-Neto, Sebastião Silvério ; Perez-de-Oliveira, Maria Eduarda ; Lopes, Márcio Ajudarte ; Kowalski, Luiz Paulo ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Santos-Silva, Alan Roger dos ; Vargas, Pablo Agustin
Source: Journal of Oral Pathology and Medicine. Unidades: FM, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, TOMOGRAFIA COMPUTADORIZADA DE EMISSÃO, DIAGNÓSTICO POR COMPUTADOR, RADIOGRAFIA PANORÂMICA
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ABNT
GIRALDO-ROLDÁN, Daniela et al. Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: a systematic review. Journal of Oral Pathology and Medicine, v. 53, n. 7, p. 415-433, 2024Tradução . . Disponível em: https://doi.org/10.1111/jop.13548. Acesso em: 15 nov. 2024.
APA
Giraldo-Roldán, D., Araujo, A. L. D., Moraes, M. C., Silva, V. M. da, Ribeiro, E. C. C., Pinto, M. H. de C., et al. (2024). Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: a systematic review. Journal of Oral Pathology and Medicine, 53( 7), 415-433. doi:10.1111/jop.13548
NLM
Giraldo-Roldán D, Araujo ALD, Moraes MC, Silva VM da, Ribeiro ECC, Pinto MH de C, Saldivia-Siracusa C, Sousa-Neto SS, Perez-de-Oliveira ME, Lopes MA, Kowalski LP, Carvalho ACP de LF de, Santos-Silva AR dos, Vargas PA. Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: a systematic review [Internet]. Journal of Oral Pathology and Medicine. 2024 ; 53( 7): 415-433.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1111/jop.13548
Vancouver
Giraldo-Roldán D, Araujo ALD, Moraes MC, Silva VM da, Ribeiro ECC, Pinto MH de C, Saldivia-Siracusa C, Sousa-Neto SS, Perez-de-Oliveira ME, Lopes MA, Kowalski LP, Carvalho ACP de LF de, Santos-Silva AR dos, Vargas PA. Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: a systematic review [Internet]. Journal of Oral Pathology and Medicine. 2024 ; 53( 7): 415-433.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1111/jop.13548
Artigo de periodico
METAFORE: algorithm selection for decomposition-based forecasting combinations (2024)
Santos, Moises Rocha dos ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Soares, Carlos
Source: International Journal of Data Science and Analytics. Unidade: ICMC
Subjects: PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS
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ABNT
SANTOS, Moises Rocha dos e CARVALHO, Andre Carlos Ponce de Leon Ferreira de e SOARES, Carlos. METAFORE: algorithm selection for decomposition-based forecasting combinations. International Journal of Data Science and Analytics, 2024Tradução . . Disponível em: https://doi.org/10.1007/s41060-024-00569-y. Acesso em: 15 nov. 2024.
APA
Santos, M. R. dos, Carvalho, A. C. P. de L. F. de, & Soares, C. (2024). METAFORE: algorithm selection for decomposition-based forecasting combinations. International Journal of Data Science and Analytics. doi:10.1007/s41060-024-00569-y
NLM
Santos MR dos, Carvalho ACP de LF de, Soares C. METAFORE: algorithm selection for decomposition-based forecasting combinations [Internet]. International Journal of Data Science and Analytics. 2024 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s41060-024-00569-y
Vancouver
Santos MR dos, Carvalho ACP de LF de, Soares C. METAFORE: algorithm selection for decomposition-based forecasting combinations [Internet]. International Journal of Data Science and Analytics. 2024 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s41060-024-00569-y
Artigo de periodico
Ulysses Tesemõ: a new large corpus for Brazilian legal and governmental domain (2024)
Siqueira, Felipe Alves ; Vitório, Douglas ; Souza, Ellen Polliana Ramos ; Santos, José A. P; Albuquerque, Hidelberg Oliveira ; Dias, Márcio de Souza ; Silva, Nádia Felix Felipe da ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Oliveira, Adriano Lorena Inacio de ; Bastos-Filho, Carmelo Jose Albanez
Source: Language Resources and Evaluation. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, CORPUS, PORTUGUÊS DO BRASIL
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ABNT
SIQUEIRA, Felipe Alves et al. Ulysses Tesemõ: a new large corpus for Brazilian legal and governmental domain. Language Resources and Evaluation, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10579-024-09762-8. Acesso em: 15 nov. 2024.
APA
Siqueira, F. A., Vitório, D., Souza, E. P. R., Santos, J. A. P., Albuquerque, H. O., Dias, M. de S., et al. (2024). Ulysses Tesemõ: a new large corpus for Brazilian legal and governmental domain. Language Resources and Evaluation. doi:10.1007/s10579-024-09762-8
NLM
Siqueira FA, Vitório D, Souza EPR, Santos JAP, Albuquerque HO, Dias M de S, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de, Bastos-Filho CJA. Ulysses Tesemõ: a new large corpus for Brazilian legal and governmental domain [Internet]. Language Resources and Evaluation. 2024 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10579-024-09762-8
Vancouver
Siqueira FA, Vitório D, Souza EPR, Santos JAP, Albuquerque HO, Dias M de S, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de, Bastos-Filho CJA. Ulysses Tesemõ: a new large corpus for Brazilian legal and governmental domain [Internet]. Language Resources and Evaluation. 2024 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10579-024-09762-8
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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1007/s10618-024-01002-5
Artigo de periodico
SWINN: efficient nearest neighbor search in sliding windows using graphs (2024)
Mastelini, Saulo Martiello ; Veloso, Bruno; Halford, Max; Carvalho, André Carlos Ponce de Leon Ferreira de ; Gama, João
Source: Information Fusion. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, ALGORITMOS PARA PROCESSAMENTO
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ABNT
MASTELINI, Saulo Martiello et al. SWINN: efficient nearest neighbor search in sliding windows using graphs. Information Fusion, v. 101, n. Ja 2024, p. 1-17, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.inffus.2023.101979. Acesso em: 15 nov. 2024.
APA
Mastelini, S. M., Veloso, B., Halford, M., Carvalho, A. C. P. de L. F. de, & Gama, J. (2024). SWINN: efficient nearest neighbor search in sliding windows using graphs. Information Fusion, 101( Ja 2024), 1-17. doi:10.1016/j.inffus.2023.101979
NLM
Mastelini SM, Veloso B, Halford M, Carvalho ACP de LF de, Gama J. SWINN: efficient nearest neighbor search in sliding windows using graphs [Internet]. Information Fusion. 2024 ; 101( Ja 2024): 1-17.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.inffus.2023.101979
Vancouver
Mastelini SM, Veloso B, Halford M, Carvalho ACP de LF de, Gama J. SWINN: efficient nearest neighbor search in sliding windows using graphs [Internet]. Information Fusion. 2024 ; 101( Ja 2024): 1-17.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.inffus.2023.101979
Artigo de periodico
A review on preprocessing algorithm selection with meta-learning (2024)
Pio, Pedro B; Rivolli, Adriano ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Garcia, Luís Paulo Faina
Source: Knowledge and Information Systems. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS PARA PROCESSAMENTO, REVISÃO SISTEMÁTICA
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ABNT
PIO, Pedro B et al. A review on preprocessing algorithm selection with meta-learning. Knowledge and Information Systems, v. 66, n. Ja 2024, p. 1-28, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10115-023-01970-y. Acesso em: 15 nov. 2024.
APA
Pio, P. B., Rivolli, A., Carvalho, A. C. P. de L. F. de, & Garcia, L. P. F. (2024). A review on preprocessing algorithm selection with meta-learning. Knowledge and Information Systems, 66( Ja 2024), 1-28. doi:10.1007/s10115-023-01970-y
NLM
Pio PB, Rivolli A, Carvalho ACP de LF de, Garcia LPF. A review on preprocessing algorithm selection with meta-learning [Internet]. Knowledge and Information Systems. 2024 ; 66( Ja 2024): 1-28.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10115-023-01970-y
Vancouver
Pio PB, Rivolli A, Carvalho ACP de LF de, Garcia LPF. A review on preprocessing algorithm selection with meta-learning [Internet]. Knowledge and Information Systems. 2024 ; 66( Ja 2024): 1-28.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10115-023-01970-y
Artigo de periodico
Multi-source data ensemble for energy price trend forecasting (2024)
Braz, Douglas Donizeti de Castilho; Santos, Moises Rocha dos ; Paula, Marcos Basile Saviano de; Silva Filho, Donato da ; Guarnier, Ewerton ; Alípio, Lucas Penido; Tinós, Renato ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: Engineering Applications of Artificial Intelligence. Unidades: FFCLRP, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), ENERGIA ELÉTRICA, POLÍTICA DE PREÇO
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ABNT
BRAZ, Douglas Donizeti de Castilho et al. Multi-source data ensemble for energy price trend forecasting. Engineering Applications of Artificial Intelligence, v. 133, p. 1-14, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2024.108125. Acesso em: 15 nov. 2024.
APA
Braz, D. D. de C., Santos, M. R. dos, Paula, M. B. S. de, Silva Filho, D. da, Guarnier, E., Alípio, L. P., et al. (2024). Multi-source data ensemble for energy price trend forecasting. Engineering Applications of Artificial Intelligence, 133, 1-14. doi:10.1016/j.engappai.2024.108125
NLM
Braz DD de C, Santos MR dos, Paula MBS de, Silva Filho D da, Guarnier E, Alípio LP, Tinós R, Carvalho ACP de LF de. Multi-source data ensemble for energy price trend forecasting [Internet]. Engineering Applications of Artificial Intelligence. 2024 ; 133 1-14.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.engappai.2024.108125
Vancouver
Braz DD de C, Santos MR dos, Paula MBS de, Silva Filho D da, Guarnier E, Alípio LP, Tinós R, Carvalho ACP de LF de. Multi-source data ensemble for energy price trend forecasting [Internet]. Engineering Applications of Artificial Intelligence. 2024 ; 133 1-14.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.engappai.2024.108125
Artigo de periodico
Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features (2023)
Horváth, Tomás ; Mantovani, Rafael Gomes ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Applied Soft Computing. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COMPONENTES PRINCIPAIS
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ABNT
HORVÁTH, Tomás e MANTOVANI, Rafael Gomes e CARVALHO, André Carlos Ponce de Leon Ferreira de. Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features. Applied Soft Computing, v. 134, p. 1-17, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.109969. Acesso em: 15 nov. 2024.
APA
Horváth, T., Mantovani, R. G., & Carvalho, A. C. P. de L. F. de. (2023). Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features. Applied Soft Computing, 134, 1-17. doi:10.1016/j.asoc.2022.109969
NLM
Horváth T, Mantovani RG, Carvalho ACP de LF de. Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features [Internet]. Applied Soft Computing. 2023 ; 134 1-17.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.asoc.2022.109969
Vancouver
Horváth T, Mantovani RG, Carvalho ACP de LF de. Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features [Internet]. Applied Soft Computing. 2023 ; 134 1-17.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.asoc.2022.109969
Artigo de periodico
Clinicians' perception of oral potentially malignant disorders: a pitfall for image annotation in supervised learning (2023)
Araujo, Anna Luiza Damaceno ; Souza, Eduardo Santos Carlos de; Faustino, Isabel Schausltz Pereira ; Saldivia-Siracusa, Cristina ; Brito-Sarracino, Tamires ; Lopes, Márcio Ajudarte ; Vargas, Pablo Agustin ; Pearson, Alexander T ; Kowalski, Luiz Paulo ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Santos-Silva, Alan Roger dos
Source: Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. Unidades: FM, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, NEOPLASIAS BUCAIS, NEOPLASIAS DE CABEÇA E PESCOÇO, LEUCOPLASIA BUCAL, INTELIGÊNCIA ARTIFICIAL
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ABNT
ARAUJO, Anna Luiza Damaceno et al. Clinicians' perception of oral potentially malignant disorders: a pitfall for image annotation in supervised learning. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology, v. 136, n. 3, p. 315-321, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.oooo.2023.02.018. Acesso em: 15 nov. 2024.
APA
Araujo, A. L. D., Souza, E. S. C. de, Faustino, I. S. P., Saldivia-Siracusa, C., Brito-Sarracino, T., Lopes, M. A., et al. (2023). Clinicians' perception of oral potentially malignant disorders: a pitfall for image annotation in supervised learning. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology, 136( 3), 315-321. doi:10.1016/j.oooo.2023.02.018
NLM
Araujo ALD, Souza ESC de, Faustino ISP, Saldivia-Siracusa C, Brito-Sarracino T, Lopes MA, Vargas PA, Pearson AT, Kowalski LP, Carvalho ACP de LF de, Santos-Silva AR dos. Clinicians' perception of oral potentially malignant disorders: a pitfall for image annotation in supervised learning [Internet]. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 2023 ; 136( 3): 315-321.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.oooo.2023.02.018
Vancouver
Araujo ALD, Souza ESC de, Faustino ISP, Saldivia-Siracusa C, Brito-Sarracino T, Lopes MA, Vargas PA, Pearson AT, Kowalski LP, Carvalho ACP de LF de, Santos-Silva AR dos. Clinicians' perception of oral potentially malignant disorders: a pitfall for image annotation in supervised learning [Internet]. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 2023 ; 136( 3): 315-321.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.oooo.2023.02.018
Artigo de periodico
Machine learning concepts applied to oral pathology and oral medicine: a convolutional neural networks' approach (2023)
Araujo, Anna Luiza Damaceno ; Silva, Viviane Mariano da ; Kudo, Maíra Suzuka ; Souza, Eduardo Santos Carlos de; Saldivia-Siracusa, Cristina ; Giraldo-Roldán, Daniela ; Lopes, Márcio Ajudarte ; Vargas, Pablo Agustin ; Khurram, Syed Ali ; Pearson, Alexander T ; Kowalski, Luiz Paulo ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Santos-Silva, Alan Roger dos ; Moraes, Matheus Cardoso
Source: Journal of Oral Pathology and Medicine. Unidades: FM, ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, NEOPLASIAS BUCAIS, NEOPLASIAS DE CABEÇA E PESCOÇO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARAUJO, Anna Luiza Damaceno et al. Machine learning concepts applied to oral pathology and oral medicine: a convolutional neural networks' approach. Journal of Oral Pathology and Medicine, v. 52, n. 2, p. 109-118, 2023Tradução . . Disponível em: https://doi.org/10.1111/jop.13397. Acesso em: 15 nov. 2024.
APA
Araujo, A. L. D., Silva, V. M. da, Kudo, M. S., Souza, E. S. C. de, Saldivia-Siracusa, C., Giraldo-Roldán, D., et al. (2023). Machine learning concepts applied to oral pathology and oral medicine: a convolutional neural networks' approach. Journal of Oral Pathology and Medicine, 52( 2), 109-118. doi:10.1111/jop.13397
NLM
Araujo ALD, Silva VM da, Kudo MS, Souza ESC de, Saldivia-Siracusa C, Giraldo-Roldán D, Lopes MA, Vargas PA, Khurram SA, Pearson AT, Kowalski LP, Carvalho ACP de LF de, Santos-Silva AR dos, Moraes MC. Machine learning concepts applied to oral pathology and oral medicine: a convolutional neural networks' approach [Internet]. Journal of Oral Pathology and Medicine. 2023 ; 52( 2): 109-118.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1111/jop.13397
Vancouver
Araujo ALD, Silva VM da, Kudo MS, Souza ESC de, Saldivia-Siracusa C, Giraldo-Roldán D, Lopes MA, Vargas PA, Khurram SA, Pearson AT, Kowalski LP, Carvalho ACP de LF de, Santos-Silva AR dos, Moraes MC. Machine learning concepts applied to oral pathology and oral medicine: a convolutional neural networks' approach [Internet]. Journal of Oral Pathology and Medicine. 2023 ; 52( 2): 109-118.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1111/jop.13397
Trabalho de evento-resumo periodico
Deep learning for automatic segmentation of clinical photographs of oral premalignant and malignant lesions (2023)
Araujo, Anna Luiza Damaceno ; Souza, Eduardo Santos Carlos de; Faustino, Isabel Schausltz Pereira ; Saldivia-Siracusa, Cristina ; Lopes, Márcio Ajudarte ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Santos-Silva, Alan Roger dos
Source: Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. Conference titles: Brazilian Congress of Stomatology and Oral Pathology. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE IMAGEM, NEOPLASIAS BUCAIS, NEOPLASIAS DE CABEÇA E PESCOÇO, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARAUJO, Anna Luiza Damaceno et al. Deep learning for automatic segmentation of clinical photographs of oral premalignant and malignant lesions. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. New York: Elsevier. Disponível em: https://doi.org/10.1016/j.oooo.2023.03.068. Acesso em: 15 nov. 2024. , 2023
APA
Araujo, A. L. D., Souza, E. S. C. de, Faustino, I. S. P., Saldivia-Siracusa, C., Lopes, M. A., Carvalho, A. C. P. de L. F. de, & Santos-Silva, A. R. dos. (2023). Deep learning for automatic segmentation of clinical photographs of oral premalignant and malignant lesions. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. New York: Elsevier. doi:10.1016/j.oooo.2023.03.068
NLM
Araujo ALD, Souza ESC de, Faustino ISP, Saldivia-Siracusa C, Lopes MA, Carvalho ACP de LF de, Santos-Silva AR dos. Deep learning for automatic segmentation of clinical photographs of oral premalignant and malignant lesions [Internet]. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 2023 ; 136( 1): e31-e32.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.oooo.2023.03.068
Vancouver
Araujo ALD, Souza ESC de, Faustino ISP, Saldivia-Siracusa C, Lopes MA, Carvalho ACP de LF de, Santos-Silva AR dos. Deep learning for automatic segmentation of clinical photographs of oral premalignant and malignant lesions [Internet]. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 2023 ; 136( 1): e31-e32.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.oooo.2023.03.068
Artigo de periodico
Continual object detection: a review of definitions, strategies, and challenges (2023)
Menezes, Angelo Garangau ; Moura, Gustavo de; Alves, Cézanne; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Neural Networks. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, BENCHMARKS, REVISÃO SISTEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENEZES, Angelo Garangau et al. Continual object detection: a review of definitions, strategies, and challenges. Neural Networks, v. 161, p. 476-493, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2023.01.041. Acesso em: 15 nov. 2024.
APA
Menezes, A. G., Moura, G. de, Alves, C., & Carvalho, A. C. P. de L. F. de. (2023). Continual object detection: a review of definitions, strategies, and challenges. Neural Networks, 161, 476-493. doi:10.1016/j.neunet.2023.01.041
NLM
Menezes AG, Moura G de, Alves C, Carvalho ACP de LF de. Continual object detection: a review of definitions, strategies, and challenges [Internet]. Neural Networks. 2023 ; 161 476-493.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.neunet.2023.01.041
Vancouver
Menezes AG, Moura G de, Alves C, Carvalho ACP de LF de. Continual object detection: a review of definitions, strategies, and challenges [Internet]. Neural Networks. 2023 ; 161 476-493.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.neunet.2023.01.041
Artigo de periodico
Online extra trees regressor (2023)
Mastelini, Saulo Martiello ; Nakano, Felipe Kenji; Vens, Celine ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MASTELINI, Saulo Martiello et al. Online extra trees regressor. IEEE Transactions on Neural Networks and Learning Systems, v. 34, n. 10, p. 6755-6767, 2023Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2022.3212859. Acesso em: 15 nov. 2024.
APA
Mastelini, S. M., Nakano, F. K., Vens, C., & Carvalho, A. C. P. de L. F. de. (2023). Online extra trees regressor. IEEE Transactions on Neural Networks and Learning Systems, 34( 10), 6755-6767. doi:10.1109/TNNLS.2022.3212859
NLM
Mastelini SM, Nakano FK, Vens C, Carvalho ACP de LF de. Online extra trees regressor [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2023 ; 34( 10): 6755-6767.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1109/TNNLS.2022.3212859
Vancouver
Mastelini SM, Nakano FK, Vens C, Carvalho ACP de LF de. Online extra trees regressor [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2023 ; 34( 10): 6755-6767.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1109/TNNLS.2022.3212859

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