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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: 24 set. 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 set. 24 ] 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 set. 24 ] Available from: https://doi.org/10.1016/j.inffus.2023.101979
Artigo de periodico
Canonical correlation and visual analytics for water resources analysis (2024)
Bybordi, Arezoo ; Thampan, Terri; Linhares, Claudio Douglas Gouveia ; Ponciano, Jean Roberto ; Travençolo, Bruno Augusto Nassif ; Paiva, José Gustavo de Souza ; Etemadpour, Ronak
Source: Multimedia Tools and Applications. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, VISUALIZAÇÃO, RECURSOS HÍDRICOS, CLIMA
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BYBORDI, Arezoo et al. Canonical correlation and visual analytics for water resources analysis. Multimedia Tools and Applications, v. 83, n. 11, p. 32453-32473, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11042-023-16926-1. Acesso em: 24 set. 2024.
APA
Bybordi, A., Thampan, T., Linhares, C. D. G., Ponciano, J. R., Travençolo, B. A. N., Paiva, J. G. de S., & Etemadpour, R. (2024). Canonical correlation and visual analytics for water resources analysis. Multimedia Tools and Applications, 83( 11), 32453-32473. doi:10.1007/s11042-023-16926-1
NLM
Bybordi A, Thampan T, Linhares CDG, Ponciano JR, Travençolo BAN, Paiva JG de S, Etemadpour R. Canonical correlation and visual analytics for water resources analysis [Internet]. Multimedia Tools and Applications. 2024 ; 83( 11): 32453-32473.[citado 2024 set. 24 ] Available from: https://doi.org/10.1007/s11042-023-16926-1
Vancouver
Bybordi A, Thampan T, Linhares CDG, Ponciano JR, Travençolo BAN, Paiva JG de S, Etemadpour R. Canonical correlation and visual analytics for water resources analysis [Internet]. Multimedia Tools and Applications. 2024 ; 83( 11): 32453-32473.[citado 2024 set. 24 ] Available from: https://doi.org/10.1007/s11042-023-16926-1
Artigo de periodico
Unsupervised feature based algorithms for time series extrinsic regression (2024)
Guijo-Rubio, David ; Middlehurst, Matthew ; Arcencio, Guilherme ; Silva, Diego Furtado ; Bagnall, Anthony
Source: Data Mining and Knowledge Discovery. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, ALGORITMOS ÚTEIS E ESPECÍFICOS
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GUIJO-RUBIO, David et al. Unsupervised feature based algorithms for time series extrinsic regression. Data Mining and Knowledge Discovery, v. 38, n. 4, p. 2141-2185, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10618-024-01027-w. Acesso em: 24 set. 2024.
APA
Guijo-Rubio, D., Middlehurst, M., Arcencio, G., Silva, D. F., & Bagnall, A. (2024). Unsupervised feature based algorithms for time series extrinsic regression. Data Mining and Knowledge Discovery, 38( 4), 2141-2185. doi:10.1007/s10618-024-01027-w
NLM
Guijo-Rubio D, Middlehurst M, Arcencio G, Silva DF, Bagnall A. Unsupervised feature based algorithms for time series extrinsic regression [Internet]. Data Mining and Knowledge Discovery. 2024 ; 38( 4): 2141-2185.[citado 2024 set. 24 ] Available from: https://doi.org/10.1007/s10618-024-01027-w
Vancouver
Guijo-Rubio D, Middlehurst M, Arcencio G, Silva DF, Bagnall A. Unsupervised feature based algorithms for time series extrinsic regression [Internet]. Data Mining and Knowledge Discovery. 2024 ; 38( 4): 2141-2185.[citado 2024 set. 24 ] Available from: https://doi.org/10.1007/s10618-024-01027-w
Artigo de periodico
The earthquake network: the best time scale for network construction (2023)
Lotfi, Nastaran
Source: Acta Geophysica. Unidade: ICMC
Subjects: REDES COMPLEXAS, ANÁLISE DE SÉRIES TEMPORAIS, SISMOLOGIA
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ABNT
LOTFI, Nastaran. The earthquake network: the best time scale for network construction. Acta Geophysica, v. 71, n. 6, p. 2565-2571, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11600-023-01134-0. Acesso em: 24 set. 2024.
APA
Lotfi, N. (2023). The earthquake network: the best time scale for network construction. Acta Geophysica, 71( 6), 2565-2571. doi:10.1007/s11600-023-01134-0
NLM
Lotfi N. The earthquake network: the best time scale for network construction [Internet]. Acta Geophysica. 2023 ; 71( 6): 2565-2571.[citado 2024 set. 24 ] Available from: https://doi.org/10.1007/s11600-023-01134-0
Vancouver
Lotfi N. The earthquake network: the best time scale for network construction [Internet]. Acta Geophysica. 2023 ; 71( 6): 2565-2571.[citado 2024 set. 24 ] Available from: https://doi.org/10.1007/s11600-023-01134-0
Artigo de periodico
Earthquake network construction models: from Abe-Suzuki to a multiplex approach (2023)
Lotfi, Nastaran
Source: Acta Geophysica. Unidade: ICMC
Subjects: REDES COMPLEXAS, ANÁLISE DE SÉRIES TEMPORAIS, SISMOLOGIA
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ABNT
LOTFI, Nastaran. Earthquake network construction models: from Abe-Suzuki to a multiplex approach. Acta Geophysica, v. 71, n. 3, p. 1111–1117, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11600-023-01025-4. Acesso em: 24 set. 2024.
APA
Lotfi, N. (2023). Earthquake network construction models: from Abe-Suzuki to a multiplex approach. Acta Geophysica, 71( 3), 1111–1117. doi:10.1007/s11600-023-01025-4
NLM
Lotfi N. Earthquake network construction models: from Abe-Suzuki to a multiplex approach [Internet]. Acta Geophysica. 2023 ; 71( 3): 1111–1117.[citado 2024 set. 24 ] Available from: https://doi.org/10.1007/s11600-023-01025-4
Vancouver
Lotfi N. Earthquake network construction models: from Abe-Suzuki to a multiplex approach [Internet]. Acta Geophysica. 2023 ; 71( 3): 1111–1117.[citado 2024 set. 24 ] Available from: https://doi.org/10.1007/s11600-023-01025-4
Artigo de periodico
Assessing the impact of the Russia-Ukraine war on energy prices: a dynamic cross-correlation analysis (2023)
Inacio Junior, Claudio Marcio Cassela ; Kristoufek, Ladislav ; David, Sérgio Adriani
Source: Physica A : statistical mechanics and its applications. Unidades: FZEA, ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, PETRÓLEO, PREÇO DE MERCADORIAS, BOLSA DE MERCADORIAS NO EXTERIOR, GUERRA, COVID-19
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ABNT
INACIO JUNIOR, Claudio Marcio Cassela e KRISTOUFEK, Ladislav e DAVID, Sérgio Adriani. Assessing the impact of the Russia-Ukraine war on energy prices: a dynamic cross-correlation analysis. Physica A : statistical mechanics and its applications, v. 626, p. 1-21, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2023.129084. Acesso em: 24 set. 2024.
APA
Inacio Junior, C. M. C., Kristoufek, L., & David, S. A. (2023). Assessing the impact of the Russia-Ukraine war on energy prices: a dynamic cross-correlation analysis. Physica A : statistical mechanics and its applications, 626, 1-21. doi:10.1016/j.physa.2023.129084
NLM
Inacio Junior CMC, Kristoufek L, David SA. Assessing the impact of the Russia-Ukraine war on energy prices: a dynamic cross-correlation analysis [Internet]. Physica A : statistical mechanics and its applications. 2023 ; 626 1-21.[citado 2024 set. 24 ] Available from: https://doi.org/10.1016/j.physa.2023.129084
Vancouver
Inacio Junior CMC, Kristoufek L, David SA. Assessing the impact of the Russia-Ukraine war on energy prices: a dynamic cross-correlation analysis [Internet]. Physica A : statistical mechanics and its applications. 2023 ; 626 1-21.[citado 2024 set. 24 ] Available from: https://doi.org/10.1016/j.physa.2023.129084
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
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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: 24 set. 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 set. 24 ] 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 set. 24 ] Available from: https://doi.org/10.1109/TNNLS.2022.3212859
Artigo de periodico
CPAP adherence assessment via gaussian mixture modeling of telemonitored apnea therapy (2022)
Rodrigues Junior, José Fernando ; Bailly, Sebastien ; Pepin, Jean-Louis ; Goeuriot, Lorraine ; Spadon, Gabriel ; Amer-Yahia, Sihem
Source: Applied Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, TECNOLOGIAS DA SAÚDE, TRANSTORNOS DO SONO, APNEIA DO SONO
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ABNT
RODRIGUES JUNIOR, José Fernando et al. CPAP adherence assessment via gaussian mixture modeling of telemonitored apnea therapy. Applied Sciences, v. 12, n. 15, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.3390/app12157618. Acesso em: 24 set. 2024.
APA
Rodrigues Junior, J. F., Bailly, S., Pepin, J. -L., Goeuriot, L., Spadon, G., & Amer-Yahia, S. (2022). CPAP adherence assessment via gaussian mixture modeling of telemonitored apnea therapy. Applied Sciences, 12( 15), 1-17. doi:10.3390/app12157618
NLM
Rodrigues Junior JF, Bailly S, Pepin J-L, Goeuriot L, Spadon G, Amer-Yahia S. CPAP adherence assessment via gaussian mixture modeling of telemonitored apnea therapy [Internet]. Applied Sciences. 2022 ; 12( 15): 1-17.[citado 2024 set. 24 ] Available from: https://doi.org/10.3390/app12157618
Vancouver
Rodrigues Junior JF, Bailly S, Pepin J-L, Goeuriot L, Spadon G, Amer-Yahia S. CPAP adherence assessment via gaussian mixture modeling of telemonitored apnea therapy [Internet]. Applied Sciences. 2022 ; 12( 15): 1-17.[citado 2024 set. 24 ] Available from: https://doi.org/10.3390/app12157618
Artigo de periodico
CriPAV: street-level crime patterns analysis and visualization (2022)
Garcia-Zanabria, Germain ; Raimundo, Marcos M. M; Poco, Jorge ; Nery, Marcelo Batista ; Silva, Claudio T ; Adorno, Sérgio ; Nonato, Luis Gustavo
Source: IEEE Transactions on Visualization and Computer Graphics. Unidades: IEA, FFLCH, ICMC
Subjects: CRIMINALIDADE, ANÁLISE DE SÉRIES TEMPORAIS, ESPAÇO URBANO
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ABNT
GARCIA-ZANABRIA, Germain et al. CriPAV: street-level crime patterns analysis and visualization. IEEE Transactions on Visualization and Computer Graphics, v. 28, n. 12, p. 4000-4015, 2022Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2021.3111146. Acesso em: 24 set. 2024.
APA
Garcia-Zanabria, G., Raimundo, M. M. M., Poco, J., Nery, M. B., Silva, C. T., Adorno, S., & Nonato, L. G. (2022). CriPAV: street-level crime patterns analysis and visualization. IEEE Transactions on Visualization and Computer Graphics, 28( 12), 4000-4015. doi:10.1109/TVCG.2021.3111146
NLM
Garcia-Zanabria G, Raimundo MMM, Poco J, Nery MB, Silva CT, Adorno S, Nonato LG. CriPAV: street-level crime patterns analysis and visualization [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2022 ; 28( 12): 4000-4015.[citado 2024 set. 24 ] Available from: https://doi.org/10.1109/TVCG.2021.3111146
Vancouver
Garcia-Zanabria G, Raimundo MMM, Poco J, Nery MB, Silva CT, Adorno S, Nonato LG. CriPAV: street-level crime patterns analysis and visualization [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2022 ; 28( 12): 4000-4015.[citado 2024 set. 24 ] Available from: https://doi.org/10.1109/TVCG.2021.3111146
Artigo de periodico
Mapping fire susceptibility in the brazilian Amazon forests using multitemporal remote sensing and time-varying unsupervised anomaly detection (2022)
Luz, Andréa Eliza O ; Negri, Rogério Galante ; Massi, Klécia Gili ; Colnago, Marilaine ; Silva, Erivaldo Antonio da ; Casaca, Wallace Correa de Oliveira
Source: Remote Sensing. Unidade: ICMC
Subjects: SENSORIAMENTO REMOTO, REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ANÁLISE DE SÉRIES TEMPORAIS, INCÊNDIOS FLORESTAIS
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ABNT
LUZ, Andréa Eliza O et al. Mapping fire susceptibility in the brazilian Amazon forests using multitemporal remote sensing and time-varying unsupervised anomaly detection. Remote Sensing, v. 14, n. 10, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.3390/rs14102429. Acesso em: 24 set. 2024.
APA
Luz, A. E. O., Negri, R. G., Massi, K. G., Colnago, M., Silva, E. A. da, & Casaca, W. C. de O. (2022). Mapping fire susceptibility in the brazilian Amazon forests using multitemporal remote sensing and time-varying unsupervised anomaly detection. Remote Sensing, 14( 10), 1-17. doi:10.3390/rs14102429
NLM
Luz AEO, Negri RG, Massi KG, Colnago M, Silva EA da, Casaca WC de O. Mapping fire susceptibility in the brazilian Amazon forests using multitemporal remote sensing and time-varying unsupervised anomaly detection [Internet]. Remote Sensing. 2022 ; 14( 10): 1-17.[citado 2024 set. 24 ] Available from: https://doi.org/10.3390/rs14102429
Vancouver
Luz AEO, Negri RG, Massi KG, Colnago M, Silva EA da, Casaca WC de O. Mapping fire susceptibility in the brazilian Amazon forests using multitemporal remote sensing and time-varying unsupervised anomaly detection [Internet]. Remote Sensing. 2022 ; 14( 10): 1-17.[citado 2024 set. 24 ] Available from: https://doi.org/10.3390/rs14102429
Artigo de periodico
High definition tDCS effect on postural control in healthy individuals: entropy analysis of a crossover clinical trial (2022)
Favoretto, Diandra Bosi ; Bergonzoni, Eduardo ; Nascimento, Diego Carvalho ; Louzada, Francisco ; Lemos, Tenysson Will de ; Batistela, Rosangela Alice ; Moraes, Renato de ; Leite, João Pereira ; Rimoli, Brunna Pileggi ; Edwards, Dylan J; Edwards, Taiza Elaine Grespan Santos
Source: Applied Sciences. Unidades: ICMC, FMRP, EEFERP
Subjects: POSTURA, ANÁLISE DE SÉRIES TEMPORAIS, ENTROPIA
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ABNT
FAVORETTO, Diandra Bosi et al. High definition tDCS effect on postural control in healthy individuals: entropy analysis of a crossover clinical trial. Applied Sciences, v. 12, n. 5, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.3390/app12052703. Acesso em: 24 set. 2024.
APA
Favoretto, D. B., Bergonzoni, E., Nascimento, D. C., Louzada, F., Lemos, T. W. de, Batistela, R. A., et al. (2022). High definition tDCS effect on postural control in healthy individuals: entropy analysis of a crossover clinical trial. Applied Sciences, 12( 5), 1-14. doi:10.3390/app12052703
NLM
Favoretto DB, Bergonzoni E, Nascimento DC, Louzada F, Lemos TW de, Batistela RA, Moraes R de, Leite JP, Rimoli BP, Edwards DJ, Edwards TEGS. High definition tDCS effect on postural control in healthy individuals: entropy analysis of a crossover clinical trial [Internet]. Applied Sciences. 2022 ; 12( 5): 1-14.[citado 2024 set. 24 ] Available from: https://doi.org/10.3390/app12052703
Vancouver
Favoretto DB, Bergonzoni E, Nascimento DC, Louzada F, Lemos TW de, Batistela RA, Moraes R de, Leite JP, Rimoli BP, Edwards DJ, Edwards TEGS. High definition tDCS effect on postural control in healthy individuals: entropy analysis of a crossover clinical trial [Internet]. Applied Sciences. 2022 ; 12( 5): 1-14.[citado 2024 set. 24 ] Available from: https://doi.org/10.3390/app12052703
Artigo de periodico
Experimental guidance for discovering genetic networks through hypothesis reduction on time series (2022)
Cummins, Breschine ; Motta, Francis C ; Moseley, Robert C ; Deckard, Anastasia ; Campione, Sophia ; Gameiro, Márcio Fuzeto ; Gedeon, Tomás ; Mischaikow, Konstantin ; Haase, Steve
Source: PLoS Computational Biology. Unidade: ICMC
Subjects: HIPÓTESE, EXPRESSÃO GÊNICA, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
CUMMINS, Breschine et al. Experimental guidance for discovering genetic networks through hypothesis reduction on time series. PLoS Computational Biology, v. 18, n. 10, p. 1-31, 2022Tradução . . Disponível em: https://doi.org/10.1371/journal.pcbi.1010145. Acesso em: 24 set. 2024.
APA
Cummins, B., Motta, F. C., Moseley, R. C., Deckard, A., Campione, S., Gameiro, M. F., et al. (2022). Experimental guidance for discovering genetic networks through hypothesis reduction on time series. PLoS Computational Biology, 18( 10), 1-31. doi:10.1371/journal.pcbi.1010145
NLM
Cummins B, Motta FC, Moseley RC, Deckard A, Campione S, Gameiro MF, Gedeon T, Mischaikow K, Haase S. Experimental guidance for discovering genetic networks through hypothesis reduction on time series [Internet]. PLoS Computational Biology. 2022 ; 18( 10): 1-31.[citado 2024 set. 24 ] Available from: https://doi.org/10.1371/journal.pcbi.1010145
Vancouver
Cummins B, Motta FC, Moseley RC, Deckard A, Campione S, Gameiro MF, Gedeon T, Mischaikow K, Haase S. Experimental guidance for discovering genetic networks through hypothesis reduction on time series [Internet]. PLoS Computational Biology. 2022 ; 18( 10): 1-31.[citado 2024 set. 24 ] Available from: https://doi.org/10.1371/journal.pcbi.1010145
Artigo de periodico
Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series (2021)
Ferreira, Marcos Vinícius dos Santos; Rios, Ricardo Araújo ; Mello, Rodrigo Fernandes de ; Rios, Tatiane Nogueira
Source: Applied Soft Computing. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, FUZZY (INTELIGÊNCIA ARTIFICIAL)
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ABNT
FERREIRA, Marcos Vinícius dos Santos et al. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. Applied Soft Computing, v. 113, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108011. Acesso em: 24 set. 2024.
APA
Ferreira, M. V. dos S., Rios, R. A., Mello, R. F. de, & Rios, T. N. (2021). Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. Applied Soft Computing, 113, 1-13. doi:10.1016/j.asoc.2021.108011
NLM
Ferreira MV dos S, Rios RA, Mello RF de, Rios TN. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series [Internet]. Applied Soft Computing. 2021 ; 113 1-13.[citado 2024 set. 24 ] Available from: https://doi.org/10.1016/j.asoc.2021.108011
Vancouver
Ferreira MV dos S, Rios RA, Mello RF de, Rios TN. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series [Internet]. Applied Soft Computing. 2021 ; 113 1-13.[citado 2024 set. 24 ] Available from: https://doi.org/10.1016/j.asoc.2021.108011
Artigo de periodico
Efficient unsupervised drift detector for fast and high-dimensional data streams (2021)
Souza, Vinícius Mourão Alves de ; Parmezan, Antonio Rafael Sabino ; Chowdhury, Farhan A.; Mueen, Abdullah
Source: Knowledge and Information Systems. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
SOUZA, Vinícius Mourão Alves de et al. Efficient unsupervised drift detector for fast and high-dimensional data streams. Knowledge and Information Systems, v. 63, n. 6, p. 1497-1527, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10115-021-01564-6. Acesso em: 24 set. 2024.
APA
Souza, V. M. A. de, Parmezan, A. R. S., Chowdhury, F. A., & Mueen, A. (2021). Efficient unsupervised drift detector for fast and high-dimensional data streams. Knowledge and Information Systems, 63( 6), 1497-1527. doi:10.1007/s10115-021-01564-6
NLM
Souza VMA de, Parmezan ARS, Chowdhury FA, Mueen A. Efficient unsupervised drift detector for fast and high-dimensional data streams [Internet]. Knowledge and Information Systems. 2021 ; 63( 6): 1497-1527.[citado 2024 set. 24 ] Available from: https://doi.org/10.1007/s10115-021-01564-6
Vancouver
Souza VMA de, Parmezan ARS, Chowdhury FA, Mueen A. Efficient unsupervised drift detector for fast and high-dimensional data streams [Internet]. Knowledge and Information Systems. 2021 ; 63( 6): 1497-1527.[citado 2024 set. 24 ] Available from: https://doi.org/10.1007/s10115-021-01564-6
Artigo de periodico
Transfer of macroeconomic shocks in stress tests modeling (2021)
Rojas, Helder ; Dias, David de Souza
Source: Physica A. Unidade: INTER: ICMC -UFSCAR
Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE SÉRIES TEMPORAIS, MERCADO FINANCEIRO, MACROECONOMIA
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ABNT
ROJAS, Helder e DIAS, David de Souza. Transfer of macroeconomic shocks in stress tests modeling. Physica A, v. 572, p. 1-25, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2020.125571. Acesso em: 24 set. 2024.
APA
Rojas, H., & Dias, D. de S. (2021). Transfer of macroeconomic shocks in stress tests modeling. Physica A, 572, 1-25. doi:10.1016/j.physa.2020.125571
NLM
Rojas H, Dias D de S. Transfer of macroeconomic shocks in stress tests modeling [Internet]. Physica A. 2021 ; 572 1-25.[citado 2024 set. 24 ] Available from: https://doi.org/10.1016/j.physa.2020.125571
Vancouver
Rojas H, Dias D de S. Transfer of macroeconomic shocks in stress tests modeling [Internet]. Physica A. 2021 ; 572 1-25.[citado 2024 set. 24 ] Available from: https://doi.org/10.1016/j.physa.2020.125571
Artigo de periodico
Towards providing effective data-driven responses to predict the Covid-19 in São Paulo and Brazil (2021)
Amaral, Fabio Vinicius Góes ; Casaca, Wallace Correa de Oliveira ; Oishi, Cassio Machiaveli ; Cuminato, José Alberto
Source: Sensors. Unidade: ICMC
Subjects: COVID-19, ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AMARAL, Fabio Vinicius Góes et al. Towards providing effective data-driven responses to predict the Covid-19 in São Paulo and Brazil. Sensors, v. 21, n. 2, p. 1-25, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21020540. Acesso em: 24 set. 2024.
APA
Amaral, F. V. G., Casaca, W. C. de O., Oishi, C. M., & Cuminato, J. A. (2021). Towards providing effective data-driven responses to predict the Covid-19 in São Paulo and Brazil. Sensors, 21( 2), 1-25. doi:10.3390/s21020540
NLM
Amaral FVG, Casaca WC de O, Oishi CM, Cuminato JA. Towards providing effective data-driven responses to predict the Covid-19 in São Paulo and Brazil [Internet]. Sensors. 2021 ; 21( 2): 1-25.[citado 2024 set. 24 ] Available from: https://doi.org/10.3390/s21020540
Vancouver
Amaral FVG, Casaca WC de O, Oishi CM, Cuminato JA. Towards providing effective data-driven responses to predict the Covid-19 in São Paulo and Brazil [Internet]. Sensors. 2021 ; 21( 2): 1-25.[citado 2024 set. 24 ] Available from: https://doi.org/10.3390/s21020540
Artigo de periodico
Micro-MetaStream: algorithm selection for time-changing data (2021)
Rossi, André Luis Debiaso ; Soares, Carlos; Souza, Bruno Feres de ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Information Sciences. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROSSI, André Luis Debiaso et al. Micro-MetaStream: algorithm selection for time-changing data. Information Sciences, v. 565, p. 262-277, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2021.02.075. Acesso em: 24 set. 2024.
APA
Rossi, A. L. D., Soares, C., Souza, B. F. de, & Carvalho, A. C. P. de L. F. de. (2021). Micro-MetaStream: algorithm selection for time-changing data. Information Sciences, 565, 262-277. doi:10.1016/j.ins.2021.02.075
NLM
Rossi ALD, Soares C, Souza BF de, Carvalho ACP de LF de. Micro-MetaStream: algorithm selection for time-changing data [Internet]. Information Sciences. 2021 ; 565 262-277.[citado 2024 set. 24 ] Available from: https://doi.org/10.1016/j.ins.2021.02.075
Vancouver
Rossi ALD, Soares C, Souza BF de, Carvalho ACP de LF de. Micro-MetaStream: algorithm selection for time-changing data [Internet]. Information Sciences. 2021 ; 565 262-277.[citado 2024 set. 24 ] Available from: https://doi.org/10.1016/j.ins.2021.02.075
Artigo de periodico
STFT-LDA: an algorithm to facilitate the visual analysis of building seismic responses (2021)
Zhao, Zhenge ; Motta, Danilo Andrade ; Berger, Matthew; Levine, Joshua Aaron ; Kuzucu, Ismail B ; Fleischman, Robert B; Paiva, Afonso ; Scheidegger, Carlos
Source: Information Visualization. Unidade: ICMC
Subjects: SIMULAÇÃO (ESTATÍSTICA), ANÁLISE DE SÉRIES TEMPORAIS, TERREMOTOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZHAO, Zhenge et al. STFT-LDA: an algorithm to facilitate the visual analysis of building seismic responses. Information Visualization, v. 20, n. 4, p. 263-282, 2021Tradução . . Disponível em: https://doi.org/10.1177/14738716211038618. Acesso em: 24 set. 2024.
APA
Zhao, Z., Motta, D. A., Berger, M., Levine, J. A., Kuzucu, I. B., Fleischman, R. B., et al. (2021). STFT-LDA: an algorithm to facilitate the visual analysis of building seismic responses. Information Visualization, 20( 4), 263-282. doi:10.1177/14738716211038618
NLM
Zhao Z, Motta DA, Berger M, Levine JA, Kuzucu IB, Fleischman RB, Paiva A, Scheidegger C. STFT-LDA: an algorithm to facilitate the visual analysis of building seismic responses [Internet]. Information Visualization. 2021 ; 20( 4): 263-282.[citado 2024 set. 24 ] Available from: https://doi.org/10.1177/14738716211038618
Vancouver
Zhao Z, Motta DA, Berger M, Levine JA, Kuzucu IB, Fleischman RB, Paiva A, Scheidegger C. STFT-LDA: an algorithm to facilitate the visual analysis of building seismic responses [Internet]. Information Visualization. 2021 ; 20( 4): 263-282.[citado 2024 set. 24 ] Available from: https://doi.org/10.1177/14738716211038618
Artigo de periodico
Time series pattern identification by hierarchical community detection (2021)
Anghinoni, Leandro ; Vega-Oliveros, Didier Augusto ; Silva, Thiago Christiano ; Liang, Zhao
Source: European Physical Journal - Special Topics. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, ANÁLISE DE SÉRIES TEMPORAIS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANGHINONI, Leandro et al. Time series pattern identification by hierarchical community detection. European Physical Journal - Special Topics, v. 230, n. 14-15, p. 2775-2782, 2021Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-021-00163-4. Acesso em: 24 set. 2024.
APA
Anghinoni, L., Vega-Oliveros, D. A., Silva, T. C., & Liang, Z. (2021). Time series pattern identification by hierarchical community detection. European Physical Journal - Special Topics, 230( 14-15), 2775-2782. doi:10.1140/epjs/s11734-021-00163-4
NLM
Anghinoni L, Vega-Oliveros DA, Silva TC, Liang Z. Time series pattern identification by hierarchical community detection [Internet]. European Physical Journal - Special Topics. 2021 ; 230( 14-15): 2775-2782.[citado 2024 set. 24 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00163-4
Vancouver
Anghinoni L, Vega-Oliveros DA, Silva TC, Liang Z. Time series pattern identification by hierarchical community detection [Internet]. European Physical Journal - Special Topics. 2021 ; 230( 14-15): 2775-2782.[citado 2024 set. 24 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00163-4
Artigo de periodico
River: machine learning for streaming data in Python (2021)
Montiel, Jacob ; Halford, Max; Mastelini, Saulo Martiello ; Bolmier, Geoffrey; Sourty, Raphael; Vaysse, Robin; Zouitine, Adil; Gomes, Heitor Murilo ; Read, Jesse ; Abdessalem, Talel ; Bifet, Albert
Source: Journal of Machine Learning Research. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, PYTHON
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MONTIEL, Jacob et al. River: machine learning for streaming data in Python. Journal of Machine Learning Research, v. 22, p. 1-8, 2021Tradução . . Disponível em: https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf. Acesso em: 24 set. 2024.
APA
Montiel, J., Halford, M., Mastelini, S. M., Bolmier, G., Sourty, R., Vaysse, R., et al. (2021). River: machine learning for streaming data in Python. Journal of Machine Learning Research, 22, 1-8. Recuperado de https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf
NLM
Montiel J, Halford M, Mastelini SM, Bolmier G, Sourty R, Vaysse R, Zouitine A, Gomes HM, Read J, Abdessalem T, Bifet A. River: machine learning for streaming data in Python [Internet]. Journal of Machine Learning Research. 2021 ; 22 1-8.[citado 2024 set. 24 ] Available from: https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf
Vancouver
Montiel J, Halford M, Mastelini SM, Bolmier G, Sourty R, Vaysse R, Zouitine A, Gomes HM, Read J, Abdessalem T, Bifet A. River: machine learning for streaming data in Python [Internet]. Journal of Machine Learning Research. 2021 ; 22 1-8.[citado 2024 set. 24 ] Available from: https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf

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