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Artigo de periodico
Calibrate: interactive analysis of probabilistic model output (2023)
Xenopoulos, Peter ; Rulff, João; Nonato, Luis Gustavo ; Barr, Brian; Silva, Claudio
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, MODELOS PARA PROCESSOS ESTOCÁSTICOS
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ABNT
XENOPOULOS, Peter et al. Calibrate: interactive analysis of probabilistic model output. IEEE Transactions on Visualization and Computer Graphics, v. 29, n. Ja 2023, p. 853-863, 2023Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2022.3209489. Acesso em: 05 maio 2024.
APA
Xenopoulos, P., Rulff, J., Nonato, L. G., Barr, B., & Silva, C. (2023). Calibrate: interactive analysis of probabilistic model output. IEEE Transactions on Visualization and Computer Graphics, 29( Ja 2023), 853-863. doi:10.1109/TVCG.2022.3209489
NLM
Xenopoulos P, Rulff J, Nonato LG, Barr B, Silva C. Calibrate: interactive analysis of probabilistic model output [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 853-863.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/TVCG.2022.3209489
Vancouver
Xenopoulos P, Rulff J, Nonato LG, Barr B, Silva C. Calibrate: interactive analysis of probabilistic model output [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 853-863.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/TVCG.2022.3209489
Artigo de periodico
LegalVis: exploring and inferring precedent citations in legal documents (2023)
Domingues, Lucas Emanuel Resck ; Ponciano, Jean Roberto ; Poco, Jorge ; Nonato, Luis Gustavo
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, VISUALIZAÇÃO, SISTEMA JUDICIÁRIO
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DOMINGUES, Lucas Emanuel Resck et al. LegalVis: exploring and inferring precedent citations in legal documents. IEEE Transactions on Visualization and Computer Graphics, v. 29, n. 6, p. 3105-3120, 2023Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2022.3152450. Acesso em: 05 maio 2024.
APA
Domingues, L. E. R., Ponciano, J. R., Poco, J., & Nonato, L. G. (2023). LegalVis: exploring and inferring precedent citations in legal documents. IEEE Transactions on Visualization and Computer Graphics, 29( 6), 3105-3120. doi:10.1109/TVCG.2022.3152450
NLM
Domingues LER, Ponciano JR, Poco J, Nonato LG. LegalVis: exploring and inferring precedent citations in legal documents [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( 6): 3105-3120.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/TVCG.2022.3152450
Vancouver
Domingues LER, Ponciano JR, Poco J, Nonato LG. LegalVis: exploring and inferring precedent citations in legal documents [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( 6): 3105-3120.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/TVCG.2022.3152450
Artigo de periodico
Employing auto-machine learning algorithms for predicting the cold filter plugging and kinematic viscosity at 40 ºC in biodiesel blends using vibrational spectroscopy data (2023)
Luna, Aderval Severino ; Torres, Alexandre Rodrigues ; Cunha, Camilla Lima ; Lima, Igor Conrado Alves de; Nonato, Luis Gustavo
Source: Brazilian Journal of Analytical Chemistry. Unidade: ICMC
Subjects: BIOCOMBUSTÍVEIS, ALGORITMOS, APRENDIZADO COMPUTACIONAL
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ABNT
LUNA, Aderval Severino et al. Employing auto-machine learning algorithms for predicting the cold filter plugging and kinematic viscosity at 40 ºC in biodiesel blends using vibrational spectroscopy data. Brazilian Journal of Analytical Chemistry, v. 10, n. 39, p. 52-69, 2023Tradução . . Disponível em: https://doi.org/10.30744/brjac.2179-3425.AR-30-2022. Acesso em: 05 maio 2024.
APA
Luna, A. S., Torres, A. R., Cunha, C. L., Lima, I. C. A. de, & Nonato, L. G. (2023). Employing auto-machine learning algorithms for predicting the cold filter plugging and kinematic viscosity at 40 ºC in biodiesel blends using vibrational spectroscopy data. Brazilian Journal of Analytical Chemistry, 10( 39), 52-69. doi:10.30744/brjac.2179-3425.AR-30-2022
NLM
Luna AS, Torres AR, Cunha CL, Lima ICA de, Nonato LG. Employing auto-machine learning algorithms for predicting the cold filter plugging and kinematic viscosity at 40 ºC in biodiesel blends using vibrational spectroscopy data [Internet]. Brazilian Journal of Analytical Chemistry. 2023 ; 10( 39): 52-69.[citado 2024 maio 05 ] Available from: https://doi.org/10.30744/brjac.2179-3425.AR-30-2022
Vancouver
Luna AS, Torres AR, Cunha CL, Lima ICA de, Nonato LG. Employing auto-machine learning algorithms for predicting the cold filter plugging and kinematic viscosity at 40 ºC in biodiesel blends using vibrational spectroscopy data [Internet]. Brazilian Journal of Analytical Chemistry. 2023 ; 10( 39): 52-69.[citado 2024 maio 05 ] Available from: https://doi.org/10.30744/brjac.2179-3425.AR-30-2022
Artigo de periodico
Mining Pareto-optimal counterfactual antecedents with a branch-and-boundmodel-agnostic algorithm (2022)
Raimundo, Marcos M ; Nonato, Luis Gustavo ; Poco, Jorge
Source: Data Mining and Knowledge Discovery. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS
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RAIMUNDO, Marcos M e NONATO, Luis Gustavo e POCO, Jorge. Mining Pareto-optimal counterfactual antecedents with a branch-and-boundmodel-agnostic algorithm. Data Mining and Knowledge Discovery, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10618-022-00906-4. Acesso em: 05 maio 2024.
APA
Raimundo, M. M., Nonato, L. G., & Poco, J. (2022). Mining Pareto-optimal counterfactual antecedents with a branch-and-boundmodel-agnostic algorithm. Data Mining and Knowledge Discovery. doi:10.1007/s10618-022-00906-4
NLM
Raimundo MM, Nonato LG, Poco J. Mining Pareto-optimal counterfactual antecedents with a branch-and-boundmodel-agnostic algorithm [Internet]. Data Mining and Knowledge Discovery. 2022 ;[citado 2024 maio 05 ] Available from: https://doi.org/10.1007/s10618-022-00906-4
Vancouver
Raimundo MM, Nonato LG, Poco J. Mining Pareto-optimal counterfactual antecedents with a branch-and-boundmodel-agnostic algorithm [Internet]. Data Mining and Knowledge Discovery. 2022 ;[citado 2024 maio 05 ] Available from: https://doi.org/10.1007/s10618-022-00906-4
Artigo de periodico
A river flooding detection system based on deep learning and computer vision (2022)
Fernandes Junior, Francisco Erivaldo ; Nonato, Luis Gustavo ; Ueyama, Jó
Source: Multimedia Tools and Applications. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, ENCHENTES URBANAS, SEMÂNTICA
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ABNT
FERNANDES JUNIOR, Francisco Erivaldo e NONATO, Luis Gustavo e UEYAMA, Jó. A river flooding detection system based on deep learning and computer vision. Multimedia Tools and Applications, v. 81, p. 40231-40251, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11042-022-12813-3. Acesso em: 05 maio 2024.
APA
Fernandes Junior, F. E., Nonato, L. G., & Ueyama, J. (2022). A river flooding detection system based on deep learning and computer vision. Multimedia Tools and Applications, 81, 40231-40251. doi:10.1007/s11042-022-12813-3
NLM
Fernandes Junior FE, Nonato LG, Ueyama J. A river flooding detection system based on deep learning and computer vision [Internet]. Multimedia Tools and Applications. 2022 ; 81 40231-40251.[citado 2024 maio 05 ] Available from: https://doi.org/10.1007/s11042-022-12813-3
Vancouver
Fernandes Junior FE, Nonato LG, Ueyama J. A river flooding detection system based on deep learning and computer vision [Internet]. Multimedia Tools and Applications. 2022 ; 81 40231-40251.[citado 2024 maio 05 ] Available from: https://doi.org/10.1007/s11042-022-12813-3
Artigo de periodico
SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level (2022)
Yuan, Jun ; Chan, Gromit Yeuk-Yin ; Barr, Brian; Overton, Kyle; Rees, Kim; Nonato, Luis Gustavo ; Bertini, Enrico ; Silva, Claudio Teixeira
Source: IEEE Computer Graphics and Applications. Unidade: ICMC
Subjects: CLUSTERS, VISUALIZAÇÃO, APRENDIZADO COMPUTACIONAL
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YUAN, Jun et al. SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level. IEEE Computer Graphics and Applications, v. 42, n. 6, p. 24-36, 2022Tradução . . Disponível em: https://doi.org/10.1109/MCG.2022.3199727. Acesso em: 05 maio 2024.
APA
Yuan, J., Chan, G. Y. -Y., Barr, B., Overton, K., Rees, K., Nonato, L. G., et al. (2022). SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level. IEEE Computer Graphics and Applications, 42( 6), 24-36. doi:10.1109/MCG.2022.3199727
NLM
Yuan J, Chan GY-Y, Barr B, Overton K, Rees K, Nonato LG, Bertini E, Silva CT. SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level [Internet]. IEEE Computer Graphics and Applications. 2022 ; 42( 6): 24-36.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/MCG.2022.3199727
Vancouver
Yuan J, Chan GY-Y, Barr B, Overton K, Rees K, Nonato LG, Bertini E, Silva CT. SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level [Internet]. IEEE Computer Graphics and Applications. 2022 ; 42( 6): 24-36.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/MCG.2022.3199727
Artigo de periodico
A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection (2022)
Contreras, Rodrigo Colnago ; Nonato, Luis Gustavo ; Boaventura, Maurílio ; Boaventura, Ines Aparecida Gasparotto ; Santos, Francisco Lledo dos ; Zanin, Rodrigo Bruno ; Viana, Monique Simplicio
Source: IEEE Access. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, BENCHMARKING, VISÃO COMPUTACIONAL, FALSIFICAÇÃO
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CONTRERAS, Rodrigo Colnago et al. A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection. IEEE Access, v. 10, p. 117681-117706, 2022Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2022.3218335. Acesso em: 05 maio 2024.
APA
Contreras, R. C., Nonato, L. G., Boaventura, M., Boaventura, I. A. G., Santos, F. L. dos, Zanin, R. B., & Viana, M. S. (2022). A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection. IEEE Access, 10, 117681-117706. doi:10.1109/ACCESS.2022.3218335
NLM
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Santos FL dos, Zanin RB, Viana MS. A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection [Internet]. IEEE Access. 2022 ; 10 117681-117706.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/ACCESS.2022.3218335
Vancouver
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Santos FL dos, Zanin RB, Viana MS. A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection [Internet]. IEEE Access. 2022 ; 10 117681-117706.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/ACCESS.2022.3218335
Artigo de periodico
Exploring scientific literature by textual and image content using DRIFT (2022)
Pocco, Ximena ; Silva, Tiago da; Poco, Jorge ; Nonato, Luis Gustavo ; Gomez-Nieto, Erick Mauricio
Source: Computers & Graphics. Unidade: ICMC
Subjects: BIBLIOTECA DIGITAL, RECUPERAÇÃO DA INFORMAÇÃO, SEMÂNTICA, ACERVO
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ABNT
POCCO, Ximena et al. Exploring scientific literature by textual and image content using DRIFT. Computers & Graphics, v. 103, p. 140-152, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cag.2022.02.005. Acesso em: 05 maio 2024.
APA
Pocco, X., Silva, T. da, Poco, J., Nonato, L. G., & Gomez-Nieto, E. M. (2022). Exploring scientific literature by textual and image content using DRIFT. Computers & Graphics, 103, 140-152. doi:10.1016/j.cag.2022.02.005
NLM
Pocco X, Silva T da, Poco J, Nonato LG, Gomez-Nieto EM. Exploring scientific literature by textual and image content using DRIFT [Internet]. Computers & Graphics. 2022 ; 103 140-152.[citado 2024 maio 05 ] Available from: https://doi.org/10.1016/j.cag.2022.02.005
Vancouver
Pocco X, Silva T da, Poco J, Nonato LG, Gomez-Nieto EM. Exploring scientific literature by textual and image content using DRIFT [Internet]. Computers & Graphics. 2022 ; 103 140-152.[citado 2024 maio 05 ] Available from: https://doi.org/10.1016/j.cag.2022.02.005
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: 05 maio 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 maio 05 ] 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 maio 05 ] Available from: https://doi.org/10.1109/TVCG.2021.3111146
Artigo de periodico
Robot dance: a mathematical optimization platform for intervention against COVID-19 in a complex network (2022)
Nonato, Luis Gustavo ; Peixoto, Pedro da Silva ; Silva, Tiago Pereira da ; Sagastizábal, Claudia ; Silva, Paulo J. S
Source: EURO Journal on Computational Optimization. Unidades: ICMC, IME
Subjects: COVID-19, OTIMIZAÇÃO ESTOCÁSTICA, REDES COMPLEXAS
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NONATO, Luis Gustavo et al. Robot dance: a mathematical optimization platform for intervention against COVID-19 in a complex network. EURO Journal on Computational Optimization, v. 10, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ejco.2022.100025. Acesso em: 05 maio 2024.
APA
Nonato, L. G., Peixoto, P. da S., Silva, T. P. da, Sagastizábal, C., & Silva, P. J. S. (2022). Robot dance: a mathematical optimization platform for intervention against COVID-19 in a complex network. EURO Journal on Computational Optimization, 10, 1-13. doi:10.1016/j.ejco.2022.100025
NLM
Nonato LG, Peixoto P da S, Silva TP da, Sagastizábal C, Silva PJS. Robot dance: a mathematical optimization platform for intervention against COVID-19 in a complex network [Internet]. EURO Journal on Computational Optimization. 2022 ; 10 1-13.[citado 2024 maio 05 ] Available from: https://doi.org/10.1016/j.ejco.2022.100025
Vancouver
Nonato LG, Peixoto P da S, Silva TP da, Sagastizábal C, Silva PJS. Robot dance: a mathematical optimization platform for intervention against COVID-19 in a complex network [Internet]. EURO Journal on Computational Optimization. 2022 ; 10 1-13.[citado 2024 maio 05 ] Available from: https://doi.org/10.1016/j.ejco.2022.100025
Artigo de periodico
Optimized delay of the second COVID-19 vaccine dose reduces ICU admissions (2021)
Silva, Paulo J. S. ; Sagastizábal, Claudia ; Nonato, Luis Gustavo ; Struchiner, Claudio José ; Silva, Tiago Pereira da
Source: Proceedings of the National Academy of Sciences - PNAS. Unidade: ICMC
Subjects: VACINAS, COVID-19, TOMADA DE DECISÃO, TEMPO DE REAÇÃO
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ABNT
SILVA, Paulo J. S. et al. Optimized delay of the second COVID-19 vaccine dose reduces ICU admissions. Proceedings of the National Academy of Sciences - PNAS, v. 118, n. 35, p. 1-6, 2021Tradução . . Disponível em: https://doi.org/10.1073/pnas.2104640118. Acesso em: 05 maio 2024.
APA
Silva, P. J. S., Sagastizábal, C., Nonato, L. G., Struchiner, C. J., & Silva, T. P. da. (2021). Optimized delay of the second COVID-19 vaccine dose reduces ICU admissions. Proceedings of the National Academy of Sciences - PNAS, 118( 35), 1-6. doi:10.1073/pnas.2104640118
NLM
Silva PJS, Sagastizábal C, Nonato LG, Struchiner CJ, Silva TP da. Optimized delay of the second COVID-19 vaccine dose reduces ICU admissions [Internet]. Proceedings of the National Academy of Sciences - PNAS. 2021 ; 118( 35): 1-6.[citado 2024 maio 05 ] Available from: https://doi.org/10.1073/pnas.2104640118
Vancouver
Silva PJS, Sagastizábal C, Nonato LG, Struchiner CJ, Silva TP da. Optimized delay of the second COVID-19 vaccine dose reduces ICU admissions [Internet]. Proceedings of the National Academy of Sciences - PNAS. 2021 ; 118( 35): 1-6.[citado 2024 maio 05 ] Available from: https://doi.org/10.1073/pnas.2104640118
Artigo de periodico
GLoG: Laplacian of Gaussian for spatial pattern detection in spatio-temporal data (2021)
Nonato, Luis Gustavo ; Carmo, Fabiano Petronetto do ; Silva, Claudio
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL, ANÁLISE DE DADOS
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NONATO, Luis Gustavo e CARMO, Fabiano Petronetto do e SILVA, Claudio. GLoG: Laplacian of Gaussian for spatial pattern detection in spatio-temporal data. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 8, p. 3481-3492, 2021Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2020.2978847. Acesso em: 05 maio 2024.
APA
Nonato, L. G., Carmo, F. P. do, & Silva, C. (2021). GLoG: Laplacian of Gaussian for spatial pattern detection in spatio-temporal data. IEEE Transactions on Visualization and Computer Graphics, 27( 8), 3481-3492. doi:10.1109/TVCG.2020.2978847
NLM
Nonato LG, Carmo FP do, Silva C. GLoG: Laplacian of Gaussian for spatial pattern detection in spatio-temporal data [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 8): 3481-3492.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/TVCG.2020.2978847
Vancouver
Nonato LG, Carmo FP do, Silva C. GLoG: Laplacian of Gaussian for spatial pattern detection in spatio-temporal data [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 8): 3481-3492.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/TVCG.2020.2978847
Artigo de periodico
NE-Motion: visual analysis of stroke patients using motion sensor networks (2021)
Contreras, Rodrigo Colnago ; Parnandi, Avinash ; Coelho, Bruno Gomes ; Silva, Claudio ; Schambra, Heidi ; Nonato, Luis Gustavo
Source: Sensors. Unidade: ICMC
Subjects: TEORIA DOS CONJUNTOS, VISUALIZAÇÃO, ACIDENTE VASCULAR CEREBRAL
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ABNT
CONTRERAS, Rodrigo Colnago et al. NE-Motion: visual analysis of stroke patients using motion sensor networks. Sensors, v. 21, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21134482. Acesso em: 05 maio 2024.
APA
Contreras, R. C., Parnandi, A., Coelho, B. G., Silva, C., Schambra, H., & Nonato, L. G. (2021). NE-Motion: visual analysis of stroke patients using motion sensor networks. Sensors, 21, 1-22. doi:10.3390/s21134482
NLM
Contreras RC, Parnandi A, Coelho BG, Silva C, Schambra H, Nonato LG. NE-Motion: visual analysis of stroke patients using motion sensor networks [Internet]. Sensors. 2021 ; 21 1-22.[citado 2024 maio 05 ] Available from: https://doi.org/10.3390/s21134482
Vancouver
Contreras RC, Parnandi A, Coelho BG, Silva C, Schambra H, Nonato LG. NE-Motion: visual analysis of stroke patients using motion sensor networks [Internet]. Sensors. 2021 ; 21 1-22.[citado 2024 maio 05 ] Available from: https://doi.org/10.3390/s21134482
Artigo de periodico
Memory-based pruning of deep neural networks for IoT devices applied to flood detection (2021)
Fernandes Junior, Francisco Erivaldo ; Nonato, Luis Gustavo ; Ranieri, Caetano Mazzoni ; Ueyama, Jó
Source: Sensors. Unidade: ICMC
Subjects: ENCHENTES URBANAS, REDES NEURAIS, INTERNET DAS COISAS
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FERNANDES JUNIOR, Francisco Erivaldo et al. Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, v. 21, n. 22, p. 1-18, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21227506. Acesso em: 05 maio 2024.
APA
Fernandes Junior, F. E., Nonato, L. G., Ranieri, C. M., & Ueyama, J. (2021). Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, 21( 22), 1-18. doi:10.3390/s21227506
NLM
Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2024 maio 05 ] Available from: https://doi.org/10.3390/s21227506
Vancouver
Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2024 maio 05 ] Available from: https://doi.org/10.3390/s21227506
Artigo de periodico
Laplacian coordinates: theory and methods for seeded image segmentation (2021)
Casaca, Wallace Correa de Oliveira ; Gois, João Paulo ; Batagelo, Harlen ; Taubin, Gabriel ; Nonato, Luis Gustavo
Source: IEEE Transactions on Pattern Analysis and Machine Intelligence. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, OPERADORES, BENCHMARKS
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CASACA, Wallace Correa de Oliveira et al. Laplacian coordinates: theory and methods for seeded image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 48, n. 8, p. 2665-2681, 2021Tradução . . Disponível em: https://doi.org/10.1109/TPAMI.2020.2974475. Acesso em: 05 maio 2024.
APA
Casaca, W. C. de O., Gois, J. P., Batagelo, H., Taubin, G., & Nonato, L. G. (2021). Laplacian coordinates: theory and methods for seeded image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 48( 8), 2665-2681. doi:10.1109/TPAMI.2020.2974475
NLM
Casaca WC de O, Gois JP, Batagelo H, Taubin G, Nonato LG. Laplacian coordinates: theory and methods for seeded image segmentation [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021 ; 48( 8): 2665-2681.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/TPAMI.2020.2974475
Vancouver
Casaca WC de O, Gois JP, Batagelo H, Taubin G, Nonato LG. Laplacian coordinates: theory and methods for seeded image segmentation [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021 ; 48( 8): 2665-2681.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/TPAMI.2020.2974475
Artigo de periodico
CrimAnalyzer: understanding crime patterns in São Paulo (2021)
Zanabria, Germain Garcia ; Silveira, Jaqueline Alvarenga ; Poco, Jorge ; Paiva Neto, Afonso ; Nery, Marcelo Batista ; Silva, Claudio T; Adorno, Sérgio ; Nonato, Luis Gustavo
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: CRIMINALIDADE, ESPAÇO URBANO, APLICAÇÃO DA LEI
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZANABRIA, Germain Garcia et al. CrimAnalyzer: understanding crime patterns in São Paulo. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 4, p. 2313-2328, 2021Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2019.2947515. Acesso em: 05 maio 2024.
APA
Zanabria, G. G., Silveira, J. A., Poco, J., Paiva Neto, A., Nery, M. B., Silva, C. T., et al. (2021). CrimAnalyzer: understanding crime patterns in São Paulo. IEEE Transactions on Visualization and Computer Graphics, 27( 4), 2313-2328. doi:10.1109/TVCG.2019.2947515
NLM
Zanabria GG, Silveira JA, Poco J, Paiva Neto A, Nery MB, Silva CT, Adorno S, Nonato LG. CrimAnalyzer: understanding crime patterns in São Paulo [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 4): 2313-2328.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/TVCG.2019.2947515
Vancouver
Zanabria GG, Silveira JA, Poco J, Paiva Neto A, Nery MB, Silva CT, Adorno S, Nonato LG. CrimAnalyzer: understanding crime patterns in São Paulo [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 4): 2313-2328.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/TVCG.2019.2947515
Artigo de periodico
TopoMap: a 0-dimensional homology preserving projection of high-dimensional data (2021)
Doraiswamy, Harish ; Tierny, Julien ; Silva, Paulo J. S. ; Nonato, Luis Gustavo ; Silva, Claudio
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: TOPOLOGIA, ANÁLISE DE DADOS, PROJEÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DORAISWAMY, Harish et al. TopoMap: a 0-dimensional homology preserving projection of high-dimensional data. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 2, p. 561-571, 2021Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2020.3030441. Acesso em: 05 maio 2024.
APA
Doraiswamy, H., Tierny, J., Silva, P. J. S., Nonato, L. G., & Silva, C. (2021). TopoMap: a 0-dimensional homology preserving projection of high-dimensional data. IEEE Transactions on Visualization and Computer Graphics, 27( 2), 561-571. doi:10.1109/TVCG.2020.3030441
NLM
Doraiswamy H, Tierny J, Silva PJS, Nonato LG, Silva C. TopoMap: a 0-dimensional homology preserving projection of high-dimensional data [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 2): 561-571.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/TVCG.2020.3030441
Vancouver
Doraiswamy H, Tierny J, Silva PJS, Nonato LG, Silva C. TopoMap: a 0-dimensional homology preserving projection of high-dimensional data [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 2): 561-571.[citado 2024 maio 05 ] Available from: https://doi.org/10.1109/TVCG.2020.3030441
Artigo de periodico
Motion analytics of trapezius muscle activity in an 18-year-old female with extended upper brachial plexus birth palsy (2021)
Lin, Jasmine J; Chan, Gromit Yeuk-Yin ; Silva, Claudio Teixeira ; Nonato, Luis Gustavo ; Raghavan, Preeti ; McGrath, Aleksandra ; Chu, Alice
Source: Journal of Brachial Plexus and Peripheral Nerve Injury. Unidade: ICMC
Subjects: PLEXO BRAQUIAL, VISUALIZAÇÃO, ANÁLISE DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIN, Jasmine J et al. Motion analytics of trapezius muscle activity in an 18-year-old female with extended upper brachial plexus birth palsy. Journal of Brachial Plexus and Peripheral Nerve Injury, v. 16, n. 1, p. e51-e55, 2021Tradução . . Disponível em: https://doi.org/10.1055/s-0041-1731748. Acesso em: 05 maio 2024.
APA
Lin, J. J., Chan, G. Y. -Y., Silva, C. T., Nonato, L. G., Raghavan, P., McGrath, A., & Chu, A. (2021). Motion analytics of trapezius muscle activity in an 18-year-old female with extended upper brachial plexus birth palsy. Journal of Brachial Plexus and Peripheral Nerve Injury, 16( 1), e51-e55. doi:10.1055/s-0041-1731748
NLM
Lin JJ, Chan GY-Y, Silva CT, Nonato LG, Raghavan P, McGrath A, Chu A. Motion analytics of trapezius muscle activity in an 18-year-old female with extended upper brachial plexus birth palsy [Internet]. Journal of Brachial Plexus and Peripheral Nerve Injury. 2021 ; 16( 1): e51-e55.[citado 2024 maio 05 ] Available from: https://doi.org/10.1055/s-0041-1731748
Vancouver
Lin JJ, Chan GY-Y, Silva CT, Nonato LG, Raghavan P, McGrath A, Chu A. Motion analytics of trapezius muscle activity in an 18-year-old female with extended upper brachial plexus birth palsy [Internet]. Journal of Brachial Plexus and Peripheral Nerve Injury. 2021 ; 16( 1): e51-e55.[citado 2024 maio 05 ] Available from: https://doi.org/10.1055/s-0041-1731748
Artigo de periodico
Smart testing and critical care bed sharing for COVID-19 control (2021)
Silva, Paulo J. S. ; Silva, Tiago Pereira da ; Sagastizábal, Claudia ; Nonato, Luis Gustavo ; Cordova, Marcelo M; Struchiner, Claudio José
Source: PLOS ONE. Unidade: ICMC
Subjects: MODELOS EPIDEMIOLOGICOS, MODELOS MATEMÁTICOS, COVID-19, PANDEMIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Paulo J. S. et al. Smart testing and critical care bed sharing for COVID-19 control. PLOS ONE, v. 16, n. 10, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0257235. Acesso em: 05 maio 2024.
APA
Silva, P. J. S., Silva, T. P. da, Sagastizábal, C., Nonato, L. G., Cordova, M. M., & Struchiner, C. J. (2021). Smart testing and critical care bed sharing for COVID-19 control. PLOS ONE, 16( 10), 1-17. doi:10.1371/journal.pone.0257235
NLM
Silva PJS, Silva TP da, Sagastizábal C, Nonato LG, Cordova MM, Struchiner CJ. Smart testing and critical care bed sharing for COVID-19 control [Internet]. PLOS ONE. 2021 ; 16( 10): 1-17.[citado 2024 maio 05 ] Available from: https://doi.org/10.1371/journal.pone.0257235
Vancouver
Silva PJS, Silva TP da, Sagastizábal C, Nonato LG, Cordova MM, Struchiner CJ. Smart testing and critical care bed sharing for COVID-19 control [Internet]. PLOS ONE. 2021 ; 16( 10): 1-17.[citado 2024 maio 05 ] Available from: https://doi.org/10.1371/journal.pone.0257235
Artigo de periodico
Analysis and visualization of multidimensional time series: particulate matter (PM10) from São Carlos-SP (Brazil) (2019)
Alexandrina, Eduardo Carlos ; Ortigossa, Evandro Scudeleti; Lui, Elaine Schornobay ; Gonçalves, José Antonio Silveira; Corrêa, Nivaldo Aparecido; Nonato, Luis Gustavo; Aguiar, Mônica Lopes
Source: Atmospheric Pollution Research. Unidades: ICMC, EESC
Subjects: POLUIÇÃO ATMOSFÉRICA, ANÁLISE DE SÉRIES TEMPORAIS, RECUPERAÇÃO DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALEXANDRINA, Eduardo Carlos et al. Analysis and visualization of multidimensional time series: particulate matter (PM10) from São Carlos-SP (Brazil). Atmospheric Pollution Research, v. 10, n. 4, p. 1299-1311, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.apr.2019.03.001. Acesso em: 05 maio 2024.
APA
Alexandrina, E. C., Ortigossa, E. S., Lui, E. S., Gonçalves, J. A. S., Corrêa, N. A., Nonato, L. G., & Aguiar, M. L. (2019). Analysis and visualization of multidimensional time series: particulate matter (PM10) from São Carlos-SP (Brazil). Atmospheric Pollution Research, 10( 4), 1299-1311. doi:10.1016/j.apr.2019.03.001
NLM
Alexandrina EC, Ortigossa ES, Lui ES, Gonçalves JAS, Corrêa NA, Nonato LG, Aguiar ML. Analysis and visualization of multidimensional time series: particulate matter (PM10) from São Carlos-SP (Brazil) [Internet]. Atmospheric Pollution Research. 2019 ; 10( 4): 1299-1311.[citado 2024 maio 05 ] Available from: https://doi.org/10.1016/j.apr.2019.03.001
Vancouver
Alexandrina EC, Ortigossa ES, Lui ES, Gonçalves JAS, Corrêa NA, Nonato LG, Aguiar ML. Analysis and visualization of multidimensional time series: particulate matter (PM10) from São Carlos-SP (Brazil) [Internet]. Atmospheric Pollution Research. 2019 ; 10( 4): 1299-1311.[citado 2024 maio 05 ] Available from: https://doi.org/10.1016/j.apr.2019.03.001

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