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Artigo de periodico
The changing environment in postgraduate education in orthopedic surgery and neurosurgery and its impact on technology-driven targeted interventional and surgical pain management: perspectives from Europe, Latin America, Asia, and the United States (2023)
Lewandrowski, Kai-Uwe; Elfar, John C.; Li, Zong-Ming; Burkhardt, Benedikt W.; Lorio, Morgan P.; Winkler, Peter A; Oertel, Joachim M.; Telfeian, Albert E.; Dowling, Álvaro; Vargas, Roth A. A.; Defino, Helton Luiz Aparecido
Source: Journal of Personalized Medicine. Unidade: FMRP
Subjects: RESIDÊNCIA MÉDICA, PÓS-GRADUAÇÃO, CIRURGIA ORTOPÉDICA, NEUROCIRURGIA, ROBÓTICA, INTELIGÊNCIA ARTIFICIAL
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ABNT
LEWANDROWSKI, Kai-Uwe et al. The changing environment in postgraduate education in orthopedic surgery and neurosurgery and its impact on technology-driven targeted interventional and surgical pain management: perspectives from Europe, Latin America, Asia, and the United States. Journal of Personalized Medicine, v. 13, n. 5, p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.3390/jpm13050852. Acesso em: 05 nov. 2024.
APA
Lewandrowski, K. -U., Elfar, J. C., Li, Z. -M., Burkhardt, B. W., Lorio, M. P., Winkler, P. A., et al. (2023). The changing environment in postgraduate education in orthopedic surgery and neurosurgery and its impact on technology-driven targeted interventional and surgical pain management: perspectives from Europe, Latin America, Asia, and the United States. Journal of Personalized Medicine, 13( 5), 1-15. doi:10.3390/jpm13050852
NLM
Lewandrowski K-U, Elfar JC, Li Z-M, Burkhardt BW, Lorio MP, Winkler PA, Oertel JM, Telfeian AE, Dowling Á, Vargas RAA, Defino HLA. The changing environment in postgraduate education in orthopedic surgery and neurosurgery and its impact on technology-driven targeted interventional and surgical pain management: perspectives from Europe, Latin America, Asia, and the United States [Internet]. Journal of Personalized Medicine. 2023 ; 13( 5): 1-15.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/jpm13050852
Vancouver
Lewandrowski K-U, Elfar JC, Li Z-M, Burkhardt BW, Lorio MP, Winkler PA, Oertel JM, Telfeian AE, Dowling Á, Vargas RAA, Defino HLA. The changing environment in postgraduate education in orthopedic surgery and neurosurgery and its impact on technology-driven targeted interventional and surgical pain management: perspectives from Europe, Latin America, Asia, and the United States [Internet]. Journal of Personalized Medicine. 2023 ; 13( 5): 1-15.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/jpm13050852
Artigo de periodico
Challenges and opportunities for integrating in silico models and adverse outcomes pathways to set and relate new biomarkers (2020)
Santos, Carlos Eduardo Matos dos; Miranda, Raul Ghiraldelli ; Oliveira, Danielle Palma de ; Dorta, Daniel Junqueira
Source: Water. Unidades: FCFRP, FFCLRP
Subjects: TOXICOLOGIA, PRODUTOS QUÍMICOS, ALGORITMOS, INTELIGÊNCIA ARTIFICIAL, ECOTOXICOLOGIA, BIOMARCADORES
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SANTOS, Carlos Eduardo Matos dos et al. Challenges and opportunities for integrating in silico models and adverse outcomes pathways to set and relate new biomarkers. Water, v. 12, n. 12, 2020Tradução . . Disponível em: https://doi.org/10.3390/w12123549. Acesso em: 05 nov. 2024.
APA
Santos, C. E. M. dos, Miranda, R. G., Oliveira, D. P. de, & Dorta, D. J. (2020). Challenges and opportunities for integrating in silico models and adverse outcomes pathways to set and relate new biomarkers. Water, 12( 12). doi:10.3390/w12123549
NLM
Santos CEM dos, Miranda RG, Oliveira DP de, Dorta DJ. Challenges and opportunities for integrating in silico models and adverse outcomes pathways to set and relate new biomarkers [Internet]. Water. 2020 ; 12( 12):[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/w12123549
Vancouver
Santos CEM dos, Miranda RG, Oliveira DP de, Dorta DJ. Challenges and opportunities for integrating in silico models and adverse outcomes pathways to set and relate new biomarkers [Internet]. Water. 2020 ; 12( 12):[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/w12123549
Artigo de periodico
RGCLI: robust graph that considers labeled instances for semi-supervised learning (2017)
Berton, Lilian; Faleiros, Thiago de Paulo; Valejo, Alan; Valverde-Rebaza, Jorge; Lopes, Alneu de Andrade
Source: Neurocomputing. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
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ABNT
BERTON, Lilian et al. RGCLI: robust graph that considers labeled instances for semi-supervised learning. Neurocomputing, v. 226, p. 238-248, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2016.11.053. Acesso em: 05 nov. 2024.
APA
Berton, L., Faleiros, T. de P., Valejo, A., Valverde-Rebaza, J., & Lopes, A. de A. (2017). RGCLI: robust graph that considers labeled instances for semi-supervised learning. Neurocomputing, 226, 238-248. doi:10.1016/j.neucom.2016.11.053
NLM
Berton L, Faleiros T de P, Valejo A, Valverde-Rebaza J, Lopes A de A. RGCLI: robust graph that considers labeled instances for semi-supervised learning [Internet]. Neurocomputing. 2017 ; 226 238-248.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.neucom.2016.11.053
Vancouver
Berton L, Faleiros T de P, Valejo A, Valverde-Rebaza J, Lopes A de A. RGCLI: robust graph that considers labeled instances for semi-supervised learning [Internet]. Neurocomputing. 2017 ; 226 238-248.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.neucom.2016.11.053
Artigo de periodico
Opinion summarization methods: comparing and extending extractive and abstractive approaches (2017)
Condori, Roque Enrique López; Pardo, Thiago Alexandre Salgueiro
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE LINGUAGEM NATURAL, RESUMOS
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CONDORI, Roque Enrique López e PARDO, Thiago Alexandre Salgueiro. Opinion summarization methods: comparing and extending extractive and abstractive approaches. Expert Systems with Applications, v. 78, p. 124-134, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.02.006. Acesso em: 05 nov. 2024.
APA
Condori, R. E. L., & Pardo, T. A. S. (2017). Opinion summarization methods: comparing and extending extractive and abstractive approaches. Expert Systems with Applications, 78, 124-134. doi:10.1016/j.eswa.2017.02.006
NLM
Condori REL, Pardo TAS. Opinion summarization methods: comparing and extending extractive and abstractive approaches [Internet]. Expert Systems with Applications. 2017 ; 78 124-134.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.eswa.2017.02.006
Vancouver
Condori REL, Pardo TAS. Opinion summarization methods: comparing and extending extractive and abstractive approaches [Internet]. Expert Systems with Applications. 2017 ; 78 124-134.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.eswa.2017.02.006
Artigo de periodico
An evolutionary algorithm for clustering data streams with a variable number of clusters (2017)
Silva, Jonathan de Andrade; Hruschka, Eduardo Raul ; Gama, João
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS GENÉTICOS
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ABNT
SILVA, Jonathan de Andrade e HRUSCHKA, Eduardo Raul e GAMA, João. An evolutionary algorithm for clustering data streams with a variable number of clusters. Expert Systems with Applications, v. 67, n. Ja 2017, p. 228-238, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.09.020. Acesso em: 05 nov. 2024.
APA
Silva, J. de A., Hruschka, E. R., & Gama, J. (2017). An evolutionary algorithm for clustering data streams with a variable number of clusters. Expert Systems with Applications, 67( Ja 2017), 228-238. doi:10.1016/j.eswa.2016.09.020
NLM
Silva J de A, Hruschka ER, Gama J. An evolutionary algorithm for clustering data streams with a variable number of clusters [Internet]. Expert Systems with Applications. 2017 ; 67( Ja 2017): 228-238.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.eswa.2016.09.020
Vancouver
Silva J de A, Hruschka ER, Gama J. An evolutionary algorithm for clustering data streams with a variable number of clusters [Internet]. Expert Systems with Applications. 2017 ; 67( Ja 2017): 228-238.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.eswa.2016.09.020
Artigo de periodico
Intelligent-guided adaptive search for the maximum covering location problem (2017)
Máximo, Vinícius R; Nascimento, Mariá C. V; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Computers and Operations Research. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, HEURÍSTICA
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ABNT
MÁXIMO, Vinícius R e NASCIMENTO, Mariá C. V e CARVALHO, André Carlos Ponce de Leon Ferreira de. Intelligent-guided adaptive search for the maximum covering location problem. Computers and Operations Research, v. 78, p. 129-137, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2016.08.018. Acesso em: 05 nov. 2024.
APA
Máximo, V. R., Nascimento, M. C. V., & Carvalho, A. C. P. de L. F. de. (2017). Intelligent-guided adaptive search for the maximum covering location problem. Computers and Operations Research, 78, 129-137. doi:10.1016/j.cor.2016.08.018
NLM
Máximo VR, Nascimento MCV, Carvalho ACP de LF de. Intelligent-guided adaptive search for the maximum covering location problem [Internet]. Computers and Operations Research. 2017 ; 78 129-137.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.cor.2016.08.018
Vancouver
Máximo VR, Nascimento MCV, Carvalho ACP de LF de. Intelligent-guided adaptive search for the maximum covering location problem [Internet]. Computers and Operations Research. 2017 ; 78 129-137.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.cor.2016.08.018
Artigo de periodico
How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier? (2017)
Oliva, Jefferson Tales; Rosa, João Luís Garcia
Source: Applied Intelligence. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE SINAIS, MINERAÇÃO DE DADOS, ELETROENCEFALOGRAFIA, EPILEPSIA
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ABNT
OLIVA, Jefferson Tales e ROSA, João Luís Garcia. How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier?. Applied Intelligence, v. 47, n. 1, p. 178-196, 2017Tradução . . Disponível em: https://doi.org/10.1007/s10489-016-0891-y. Acesso em: 05 nov. 2024.
APA
Oliva, J. T., & Rosa, J. L. G. (2017). How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier? Applied Intelligence, 47( 1), 178-196. doi:10.1007/s10489-016-0891-y
NLM
Oliva JT, Rosa JLG. How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier? [Internet]. Applied Intelligence. 2017 ; 47( 1): 178-196.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10489-016-0891-y
Vancouver
Oliva JT, Rosa JLG. How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier? [Internet]. Applied Intelligence. 2017 ; 47( 1): 178-196.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10489-016-0891-y
Artigo de periodico
Evolutionary computing in recommender systems: a review of recent research (2017)
Horváth, Tomás; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Natural Computing. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS
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ABNT
HORVÁTH, Tomás e CARVALHO, André Carlos Ponce de Leon Ferreira de. Evolutionary computing in recommender systems: a review of recent research. Natural Computing, v. 16, n. 3, p. Se 2017, 2017Tradução . . Disponível em: https://doi.org/10.1007/s11047-016-9540-y. Acesso em: 05 nov. 2024.
APA
Horváth, T., & Carvalho, A. C. P. de L. F. de. (2017). Evolutionary computing in recommender systems: a review of recent research. Natural Computing, 16( 3), Se 2017. doi:10.1007/s11047-016-9540-y
NLM
Horváth T, Carvalho ACP de LF de. Evolutionary computing in recommender systems: a review of recent research [Internet]. Natural Computing. 2017 ; 16( 3): Se 2017.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s11047-016-9540-y
Vancouver
Horváth T, Carvalho ACP de LF de. Evolutionary computing in recommender systems: a review of recent research [Internet]. Natural Computing. 2017 ; 16( 3): Se 2017.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s11047-016-9540-y
Artigo de periodico
Novelty detection in data stream (2016)
Faria, Elaine R; Gonçalves, Isabel J. C. R; Carvalho, André Carlos Ponce de Leon Ferreira de ; Gama, João
Source: Artificial Intelligence Review. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, RECONHECIMENTO DE PADRÕES
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ABNT
FARIA, Elaine R et al. Novelty detection in data stream. Artificial Intelligence Review, v. 45, n. 2, p. 235-269, 2016Tradução . . Disponível em: https://doi.org/10.1007/s10462-015-9444-8. Acesso em: 05 nov. 2024.
APA
Faria, E. R., Gonçalves, I. J. C. R., Carvalho, A. C. P. de L. F. de, & Gama, J. (2016). Novelty detection in data stream. Artificial Intelligence Review, 45( 2), 235-269. doi:10.1007/s10462-015-9444-8
NLM
Faria ER, Gonçalves IJCR, Carvalho ACP de LF de, Gama J. Novelty detection in data stream [Internet]. Artificial Intelligence Review. 2016 ; 45( 2): 235-269.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10462-015-9444-8
Vancouver
Faria ER, Gonçalves IJCR, Carvalho ACP de LF de, Gama J. Novelty detection in data stream [Internet]. Artificial Intelligence Review. 2016 ; 45( 2): 235-269.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10462-015-9444-8
Artigo de periodico
Image quantization as a dimensionality reduction procedure in color and texture feature extraction (2016)
Ponti, Moacir Antonelli ; Nazaré, Tiago Santana de ; Thumé, Gabriela S
Source: Neurocomputing. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, INTELIGÊNCIA ARTIFICIAL
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ABNT
PONTI, Moacir Antonelli e NAZARÉ, Tiago Santana de e THUMÉ, Gabriela S. Image quantization as a dimensionality reduction procedure in color and texture feature extraction. Neurocomputing, v. 173, n. Ja 2016, p. 385-396, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2015.04.114. Acesso em: 05 nov. 2024.
APA
Ponti, M. A., Nazaré, T. S. de, & Thumé, G. S. (2016). Image quantization as a dimensionality reduction procedure in color and texture feature extraction. Neurocomputing, 173( Ja 2016), 385-396. doi:10.1016/j.neucom.2015.04.114
NLM
Ponti MA, Nazaré TS de, Thumé GS. Image quantization as a dimensionality reduction procedure in color and texture feature extraction [Internet]. Neurocomputing. 2016 ; 173( Ja 2016): 385-396.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.neucom.2015.04.114
Vancouver
Ponti MA, Nazaré TS de, Thumé GS. Image quantization as a dimensionality reduction procedure in color and texture feature extraction [Internet]. Neurocomputing. 2016 ; 173( Ja 2016): 385-396.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.neucom.2015.04.114
Artigo de periodico
Genetic generation of fuzzy systems with rule extraction using formal concept analysis (2016)
Cintra, M. E; Camargo, H. A; Monard, Maria Carolina
Source: Information Sciences. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, FUZZY (INTELIGÊNCIA ARTIFICIAL)
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ABNT
CINTRA, M. E e CAMARGO, H. A e MONARD, Maria Carolina. Genetic generation of fuzzy systems with rule extraction using formal concept analysis. Information Sciences, v. 349-350, p. 199-215, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2016.02.026. Acesso em: 05 nov. 2024.
APA
Cintra, M. E., Camargo, H. A., & Monard, M. C. (2016). Genetic generation of fuzzy systems with rule extraction using formal concept analysis. Information Sciences, 349-350, 199-215. doi:10.1016/j.ins.2016.02.026
NLM
Cintra ME, Camargo HA, Monard MC. Genetic generation of fuzzy systems with rule extraction using formal concept analysis [Internet]. Information Sciences. 2016 ; 349-350 199-215.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.ins.2016.02.026
Vancouver
Cintra ME, Camargo HA, Monard MC. Genetic generation of fuzzy systems with rule extraction using formal concept analysis [Internet]. Information Sciences. 2016 ; 349-350 199-215.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.ins.2016.02.026
Artigo de periodico
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study (2016)
Campos, Guilherme O; Zimek, Arthur; Sander, Jörg; Campello, Ricardo José Gabrielli Barreto; Micenková, Barbora; Schubert, Erich; Assent, Ira; Houle, Michael E
Source: Data Mining and Knowledge Discovery. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
CAMPOS, Guilherme O et al. On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Mining and Knowledge Discovery, v. 30, n. 4, p. 891-927, 2016Tradução . . Disponível em: https://doi.org/10.1007/s10618-015-0444-8. Acesso em: 05 nov. 2024.
APA
Campos, G. O., Zimek, A., Sander, J., Campello, R. J. G. B., Micenková, B., Schubert, E., et al. (2016). On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Mining and Knowledge Discovery, 30( 4), 891-927. doi:10.1007/s10618-015-0444-8
NLM
Campos GO, Zimek A, Sander J, Campello RJGB, Micenková B, Schubert E, Assent I, Houle ME. On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study [Internet]. Data Mining and Knowledge Discovery. 2016 ; 30( 4): 891-927.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10618-015-0444-8
Vancouver
Campos GO, Zimek A, Sander J, Campello RJGB, Micenková B, Schubert E, Assent I, Houle ME. On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study [Internet]. Data Mining and Knowledge Discovery. 2016 ; 30( 4): 891-927.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10618-015-0444-8
Artigo de periodico-carta/editorial
Recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Editorial] (2016)
Corchado, Emilio; Quintián, Héctor; Abraham, Ajith; Carvalho, André Carlos Ponce de Leon Ferreira de ; Wozniak, Michal; Sung-Bae, Cho
Source: Neurocomputing. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
CORCHADO, Emilio et al. Recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Editorial]. Neurocomputing. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.neucom.2015.04.088. Acesso em: 05 nov. 2024. , 2016
APA
Corchado, E., Quintián, H., Abraham, A., Carvalho, A. C. P. de L. F. de, Wozniak, M., & Sung-Bae, C. (2016). Recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Editorial]. Neurocomputing. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1016/j.neucom.2015.04.088
NLM
Corchado E, Quintián H, Abraham A, Carvalho ACP de LF de, Wozniak M, Sung-Bae C. Recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Editorial] [Internet]. Neurocomputing. 2016 ; 176 1-2.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.neucom.2015.04.088
Vancouver
Corchado E, Quintián H, Abraham A, Carvalho ACP de LF de, Wozniak M, Sung-Bae C. Recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Editorial] [Internet]. Neurocomputing. 2016 ; 176 1-2.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.neucom.2015.04.088
Artigo de periodico
Ensembles of label noise filters: a ranking approach (2016)
Garcia, Luís P. F; Lorena, Ana C; Matwin, Stan; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Data Mining and Knowledge Discovery. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Luís P. F et al. Ensembles of label noise filters: a ranking approach. Data Mining and Knowledge Discovery, v. 30, n. 5, p. 1192-1216, 2016Tradução . . Disponível em: https://doi.org/10.1007/s10618-016-0475-9. Acesso em: 05 nov. 2024.
APA
Garcia, L. P. F., Lorena, A. C., Matwin, S., & Carvalho, A. C. P. de L. F. de. (2016). Ensembles of label noise filters: a ranking approach. Data Mining and Knowledge Discovery, 30( 5), 1192-1216. doi:10.1007/s10618-016-0475-9
NLM
Garcia LPF, Lorena AC, Matwin S, Carvalho ACP de LF de. Ensembles of label noise filters: a ranking approach [Internet]. Data Mining and Knowledge Discovery. 2016 ; 30( 5): 1192-1216.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10618-016-0475-9
Vancouver
Garcia LPF, Lorena AC, Matwin S, Carvalho ACP de LF de. Ensembles of label noise filters: a ranking approach [Internet]. Data Mining and Knowledge Discovery. 2016 ; 30( 5): 1192-1216.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10618-016-0475-9
Artigo de periodico
Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts (2016)
Rossi, Rafael Geraldeli; Lopes, Alneu de Andrade ; Rezende, Solange Oliveira
Source: Information Processing and Management. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO
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ABNT
ROSSI, Rafael Geraldeli e LOPES, Alneu de Andrade e REZENDE, Solange Oliveira. Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts. Information Processing and Management, v. 52, n. 2, p. 217-257, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ipm.2015.07.004. Acesso em: 05 nov. 2024.
APA
Rossi, R. G., Lopes, A. de A., & Rezende, S. O. (2016). Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts. Information Processing and Management, 52( 2), 217-257. doi:10.1016/j.ipm.2015.07.004
NLM
Rossi RG, Lopes A de A, Rezende SO. Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts [Internet]. Information Processing and Management. 2016 ; 52( 2): 217-257.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.ipm.2015.07.004
Vancouver
Rossi RG, Lopes A de A, Rezende SO. Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts [Internet]. Information Processing and Management. 2016 ; 52( 2): 217-257.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.ipm.2015.07.004
Artigo de periodico
Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments (2016)
Faiçal, Bruno S; Pessin, Gustavo; Filho, Geraldo P. R; Carvalho, André Carlos Ponce de Leon Ferreira de ; Gomes, Pedro H; Ueyama, Jó
Source: International Journal on Artificial Intelligence Tools. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS, ALGORITMOS GENÉTICOS, PROGRAMAÇÃO CONCORRENTE, AGRICULTURA (APLICAÇÕES)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FAIÇAL, Bruno S et al. Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments. International Journal on Artificial Intelligence Tools, v. 25, n. 1, p. 1660003-1-1660003-19, 2016Tradução . . Disponível em: https://doi.org/10.1142/S0218213016600034. Acesso em: 05 nov. 2024.
APA
Faiçal, B. S., Pessin, G., Filho, G. P. R., Carvalho, A. C. P. de L. F. de, Gomes, P. H., & Ueyama, J. (2016). Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments. International Journal on Artificial Intelligence Tools, 25( 1), 1660003-1-1660003-19. doi:10.1142/S0218213016600034
NLM
Faiçal BS, Pessin G, Filho GPR, Carvalho ACP de LF de, Gomes PH, Ueyama J. Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments [Internet]. International Journal on Artificial Intelligence Tools. 2016 ; 25( 1): 1660003-1-1660003-19.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1142/S0218213016600034
Vancouver
Faiçal BS, Pessin G, Filho GPR, Carvalho ACP de LF de, Gomes PH, Ueyama J. Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments [Internet]. International Journal on Artificial Intelligence Tools. 2016 ; 25( 1): 1660003-1-1660003-19.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1142/S0218213016600034
Artigo de periodico
Endowing a content-based medical image retrieval system with perceptual similarity using ensemble strategy (2016)
Bêdo, Marcos Vinícius Naves; Santos, Davi Pereira dos; Ponciano-Silva, Marcelo; Marques, Paulo Mazzoncini de Azevedo; Carvalho, André Carlos Ponce de Leon Ferreira de ; Traina Junior, Caetano
Source: Journal of Digital Imaging. Unidades: FMRP, ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, BANCO DE DADOS, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BÊDO, Marcos Vinícius Naves et al. Endowing a content-based medical image retrieval system with perceptual similarity using ensemble strategy. Journal of Digital Imaging, v. 29, n. 1, p. 22-37, 2016Tradução . . Disponível em: https://doi.org/10.1007/s10278-015-9809-1. Acesso em: 05 nov. 2024.
APA
Bêdo, M. V. N., Santos, D. P. dos, Ponciano-Silva, M., Marques, P. M. de A., Carvalho, A. C. P. de L. F. de, & Traina Junior, C. (2016). Endowing a content-based medical image retrieval system with perceptual similarity using ensemble strategy. Journal of Digital Imaging, 29( 1), 22-37. doi:10.1007/s10278-015-9809-1
NLM
Bêdo MVN, Santos DP dos, Ponciano-Silva M, Marques PM de A, Carvalho ACP de LF de, Traina Junior C. Endowing a content-based medical image retrieval system with perceptual similarity using ensemble strategy [Internet]. Journal of Digital Imaging. 2016 ; 29( 1): 22-37.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10278-015-9809-1
Vancouver
Bêdo MVN, Santos DP dos, Ponciano-Silva M, Marques PM de A, Carvalho ACP de LF de, Traina Junior C. Endowing a content-based medical image retrieval system with perceptual similarity using ensemble strategy [Internet]. Journal of Digital Imaging. 2016 ; 29( 1): 22-37.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10278-015-9809-1
Artigo de periodico
Online adaptive decision trees based on concentration inequalities (2016)
Frías-Blanco, Isvani; Campo-Ávila, José del; Ramos-Jiménez, Gonzalo; Carvalho, André Carlos Ponce de Leon Ferreira de ; Ortiz-Díaz, Agustín; Morales-Bueno, Rafael
Source: Knowledge-Based Systems. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FRÍAS-BLANCO, Isvani et al. Online adaptive decision trees based on concentration inequalities. Knowledge-Based Systems, v. 104, p. 179-194, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2016.04.019. Acesso em: 05 nov. 2024.
APA
Frías-Blanco, I., Campo-Ávila, J. del, Ramos-Jiménez, G., Carvalho, A. C. P. de L. F. de, Ortiz-Díaz, A., & Morales-Bueno, R. (2016). Online adaptive decision trees based on concentration inequalities. Knowledge-Based Systems, 104, 179-194. doi:10.1016/j.knosys.2016.04.019
NLM
Frías-Blanco I, Campo-Ávila J del, Ramos-Jiménez G, Carvalho ACP de LF de, Ortiz-Díaz A, Morales-Bueno R. Online adaptive decision trees based on concentration inequalities [Internet]. Knowledge-Based Systems. 2016 ; 104 179-194.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.knosys.2016.04.019
Vancouver
Frías-Blanco I, Campo-Ávila J del, Ramos-Jiménez G, Carvalho ACP de LF de, Ortiz-Díaz A, Morales-Bueno R. Online adaptive decision trees based on concentration inequalities [Internet]. Knowledge-Based Systems. 2016 ; 104 179-194.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.knosys.2016.04.019
Artigo de periodico
Privileged contextual information for context-aware recommender systems (2016)
Sundermann, Camila Vaccari; Domingues, Marcos Aurélio; Conrado, Merley da Silva; Rezende, Solange Oliveira
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SUNDERMANN, Camila Vaccari et al. Privileged contextual information for context-aware recommender systems. Expert Systems with Applications, v. 57, p. Se 2016, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.03.036. Acesso em: 05 nov. 2024.
APA
Sundermann, C. V., Domingues, M. A., Conrado, M. da S., & Rezende, S. O. (2016). Privileged contextual information for context-aware recommender systems. Expert Systems with Applications, 57, Se 2016. doi:10.1016/j.eswa.2016.03.036
NLM
Sundermann CV, Domingues MA, Conrado M da S, Rezende SO. Privileged contextual information for context-aware recommender systems [Internet]. Expert Systems with Applications. 2016 ; 57 Se 2016.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.eswa.2016.03.036
Vancouver
Sundermann CV, Domingues MA, Conrado M da S, Rezende SO. Privileged contextual information for context-aware recommender systems [Internet]. Expert Systems with Applications. 2016 ; 57 Se 2016.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.eswa.2016.03.036
Artigo de periodico
An object-based visual selection framework (2016)
Benicasa, Alcides X; Quiles, Marcos G; Silva, Thiago C; Liang, Zhao; Romero, Roseli Aparecida Francelin
Source: Neurocomputing. Unidades: FFCLRP, ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, RECONHECIMENTO DE OBJETOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BENICASA, Alcides X et al. An object-based visual selection framework. Neurocomputing, v. 180, p. 35-54, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2015.10.111. Acesso em: 05 nov. 2024.
APA
Benicasa, A. X., Quiles, M. G., Silva, T. C., Liang, Z., & Romero, R. A. F. (2016). An object-based visual selection framework. Neurocomputing, 180, 35-54. doi:10.1016/j.neucom.2015.10.111
NLM
Benicasa AX, Quiles MG, Silva TC, Liang Z, Romero RAF. An object-based visual selection framework [Internet]. Neurocomputing. 2016 ; 180 35-54.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.neucom.2015.10.111
Vancouver
Benicasa AX, Quiles MG, Silva TC, Liang Z, Romero RAF. An object-based visual selection framework [Internet]. Neurocomputing. 2016 ; 180 35-54.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.neucom.2015.10.111

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