ReP USP - Resultado da busca

Artigo de periodico
Contrasting deep learning audio models for direct respiratory insufficiency detection versus blood oxygen saturation estimation (2026)
Gauy, Marcelo Matheus ; Koza, Natália Hitomi; Morita, Ricardo Mikio; Stanzione, Gabriel Rocha; Candido Junior, Arnaldo ; Berti, Larissa Cristina ; Levin, Anna Sara ; Sabino, Ester Cerdeira ; Svartman, Flaviane ; Finger, Marcelo
Source: Intelligence-Based Medicine. Unidades: FFLCH, FM, IME, ESALQ
Subjects: APRENDIZAGEM PROFUNDA, MODELOS, INSUFICIÊNCIA RESPIRATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GAUY, Marcelo Matheus et al. Contrasting deep learning audio models for direct respiratory insufficiency detection versus blood oxygen saturation estimation. Intelligence-Based Medicine, v. 13, 2026Tradução . . Disponível em: https://doi.org/10.1016/j.ibmed.2025.100331. Acesso em: 20 jan. 2026.
APA
Gauy, M. M., Koza, N. H., Morita, R. M., Stanzione, G. R., Candido Junior, A., Berti, L. C., et al. (2026). Contrasting deep learning audio models for direct respiratory insufficiency detection versus blood oxygen saturation estimation. Intelligence-Based Medicine, 13. doi:10.1016/j.ibmed.2025.100331
NLM
Gauy MM, Koza NH, Morita RM, Stanzione GR, Candido Junior A, Berti LC, Levin AS, Sabino EC, Svartman F, Finger M. Contrasting deep learning audio models for direct respiratory insufficiency detection versus blood oxygen saturation estimation [Internet]. Intelligence-Based Medicine. 2026 ; 13[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.ibmed.2025.100331
Vancouver
Gauy MM, Koza NH, Morita RM, Stanzione GR, Candido Junior A, Berti LC, Levin AS, Sabino EC, Svartman F, Finger M. Contrasting deep learning audio models for direct respiratory insufficiency detection versus blood oxygen saturation estimation [Internet]. Intelligence-Based Medicine. 2026 ; 13[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.ibmed.2025.100331
Artigo de periodico
State of the art in electric batteries’ state-of-health (SoH) estimation with machine learning: a review (2025)
Sylvestrin, Giovane Ronei; Maciel, Joylan Nunes; Amorim, Márcio Luís Munhoz; Carmo, João Paulo Pereira do ; Afonso, Jose A; Lopes, Sergio F.; Ando Junior, Oswaldo Hideo
Source: Energies. Unidade: EESC
Subjects: APRENDIZADO COMPUTACIONAL, BATERIAS ELÉTRICAS, APRENDIZAGEM PROFUNDA, INTERNET DAS COISAS, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SYLVESTRIN, Giovane Ronei et al. State of the art in electric batteries’ state-of-health (SoH) estimation with machine learning: a review. Energies, v. 18, n. 3, p. 1-77, 2025Tradução . . Disponível em: https://dx.doi.org/10.3390/en18030746. Acesso em: 20 jan. 2026.
APA
Sylvestrin, G. R., Maciel, J. N., Amorim, M. L. M., Carmo, J. P. P. do, Afonso, J. A., Lopes, S. F., & Ando Junior, O. H. (2025). State of the art in electric batteries’ state-of-health (SoH) estimation with machine learning: a review. Energies, 18( 3), 1-77. doi:10.3390/en18030746
NLM
Sylvestrin GR, Maciel JN, Amorim MLM, Carmo JPP do, Afonso JA, Lopes SF, Ando Junior OH. State of the art in electric batteries’ state-of-health (SoH) estimation with machine learning: a review [Internet]. Energies. 2025 ; 18( 3): 1-77.[citado 2026 jan. 20 ] Available from: https://dx.doi.org/10.3390/en18030746
Vancouver
Sylvestrin GR, Maciel JN, Amorim MLM, Carmo JPP do, Afonso JA, Lopes SF, Ando Junior OH. State of the art in electric batteries’ state-of-health (SoH) estimation with machine learning: a review [Internet]. Energies. 2025 ; 18( 3): 1-77.[citado 2026 jan. 20 ] Available from: https://dx.doi.org/10.3390/en18030746
Artigo de periodico
Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks (2025)
Rocha, Matheus Becali ; Pratavieira, Sebastião ; Vieira, Renan Souza; Geller, Juliana Duarte; Stein, Amanda Lima Mutz; Oliveira, Fernanda Sales Soares de; Canuto, Tania R.P.; Vieira, Luciana de Paula; Rossoni, Renan; Santos, Maria C.S.; Frasson, Patricia H.L.; Frasson, Patricia Henriques Lyra; Krohling, Renato Antonio
Source: Photodiagnosis and Photodynamic Therapy. Unidade: IFSC
Subjects: APRENDIZAGEM PROFUNDA, TERAPIA FOTODINÂMICA, FLUORESCÊNCIA, REDES NEURAIS, PELE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA, Matheus Becali et al. Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks. Photodiagnosis and Photodynamic Therapy, v. 52, p. 104462-1-104462-15, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.pdpdt.2024.104462. Acesso em: 20 jan. 2026.
APA
Rocha, M. B., Pratavieira, S., Vieira, R. S., Geller, J. D., Stein, A. L. M., Oliveira, F. S. S. de, et al. (2025). Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks. Photodiagnosis and Photodynamic Therapy, 52, 104462-1-104462-15. doi:10.1016/j.pdpdt.2024.104462
NLM
Rocha MB, Pratavieira S, Vieira RS, Geller JD, Stein ALM, Oliveira FSS de, Canuto TRP, Vieira L de P, Rossoni R, Santos MCS, Frasson PHL, Frasson PHL, Krohling RA. Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks [Internet]. Photodiagnosis and Photodynamic Therapy. 2025 ; 52 104462-1-104462-15.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.pdpdt.2024.104462
Vancouver
Rocha MB, Pratavieira S, Vieira RS, Geller JD, Stein ALM, Oliveira FSS de, Canuto TRP, Vieira L de P, Rossoni R, Santos MCS, Frasson PHL, Frasson PHL, Krohling RA. Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks [Internet]. Photodiagnosis and Photodynamic Therapy. 2025 ; 52 104462-1-104462-15.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.pdpdt.2024.104462
Artigo de periodico
Microstructural evolution and hardness enhancement in a novel CrMn-Fe-Co–Ni high entropy alloy processed by laser surface remelting (2025)
Lopes, Maria Helena Teles; Rodrigues, Adilson Vitor; Souza, Pablo Miguel de; Stumpf, Guilherme Cardeal ; Mazzer, Eric Marchezini; Coury, Francisco Gil; Ramirez, Andres Felipe; Fogagnolo, João Batista; Pereira, Pedro Henrique Rodrigues; Wolf, Witor
Source: International Journal of Advanced Manufacturing Technology. Unidade: EESC
Subjects: COGNIÇÃO, RESSONÂNCIA MAGNÉTICA, APRENDIZAGEM PROFUNDA, DOENÇAS CEREBRAIS, MATERIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Maria Helena Teles et al. Microstructural evolution and hardness enhancement in a novel CrMn-Fe-Co–Ni high entropy alloy processed by laser surface remelting. International Journal of Advanced Manufacturing Technology, v. 137, p. 3833-3840, 2025Tradução . . Disponível em: http://dx.doi.org/10.1007/s00170-025-15390-5. Acesso em: 20 jan. 2026.
APA
Lopes, M. H. T., Rodrigues, A. V., Souza, P. M. de, Stumpf, G. C., Mazzer, E. M., Coury, F. G., et al. (2025). Microstructural evolution and hardness enhancement in a novel CrMn-Fe-Co–Ni high entropy alloy processed by laser surface remelting. International Journal of Advanced Manufacturing Technology, 137, 3833-3840. doi:10.1007/s00170-025-15390-5
NLM
Lopes MHT, Rodrigues AV, Souza PM de, Stumpf GC, Mazzer EM, Coury FG, Ramirez AF, Fogagnolo JB, Pereira PHR, Wolf W. Microstructural evolution and hardness enhancement in a novel CrMn-Fe-Co–Ni high entropy alloy processed by laser surface remelting [Internet]. International Journal of Advanced Manufacturing Technology. 2025 ; 137 3833-3840.[citado 2026 jan. 20 ] Available from: http://dx.doi.org/10.1007/s00170-025-15390-5
Vancouver
Lopes MHT, Rodrigues AV, Souza PM de, Stumpf GC, Mazzer EM, Coury FG, Ramirez AF, Fogagnolo JB, Pereira PHR, Wolf W. Microstructural evolution and hardness enhancement in a novel CrMn-Fe-Co–Ni high entropy alloy processed by laser surface remelting [Internet]. International Journal of Advanced Manufacturing Technology. 2025 ; 137 3833-3840.[citado 2026 jan. 20 ] Available from: http://dx.doi.org/10.1007/s00170-025-15390-5
Artigo de periodico
Correction to: CROW: a self-supervised crop row navigation algorithm for agricultural fields (2025)
Affonso, Francisco; Tommaselli, Felipe Andrade G; Capezzuto, Gianluca; Gasparino, Mateus V.; Chowdhary, Girish; Becker, Marcelo
Source: Journal of Intelligent and Robotic Systems. Unidade: EESC
Subjects: ROBÓTICA, AGRICULTURA, APRENDIZAGEM PROFUNDA, INTELIGÊNCIA ARTIFICIAL, ENGENHARIA MECÂNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AFFONSO, Francisco et al. Correction to: CROW: a self-supervised crop row navigation algorithm for agricultural fields. Journal of Intelligent and Robotic Systems, v. 111, 2025Tradução . . Disponível em: http://dx.doi.org/10.1007/s10846-025-02321-5. Acesso em: 20 jan. 2026.
APA
Affonso, F., Tommaselli, F. A. G., Capezzuto, G., Gasparino, M. V., Chowdhary, G., & Becker, M. (2025). Correction to: CROW: a self-supervised crop row navigation algorithm for agricultural fields. Journal of Intelligent and Robotic Systems, 111. doi:10.1007/s10846-025-02321-5
NLM
Affonso F, Tommaselli FAG, Capezzuto G, Gasparino MV, Chowdhary G, Becker M. Correction to: CROW: a self-supervised crop row navigation algorithm for agricultural fields [Internet]. Journal of Intelligent and Robotic Systems. 2025 ; 111[citado 2026 jan. 20 ] Available from: http://dx.doi.org/10.1007/s10846-025-02321-5
Vancouver
Affonso F, Tommaselli FAG, Capezzuto G, Gasparino MV, Chowdhary G, Becker M. Correction to: CROW: a self-supervised crop row navigation algorithm for agricultural fields [Internet]. Journal of Intelligent and Robotic Systems. 2025 ; 111[citado 2026 jan. 20 ] Available from: http://dx.doi.org/10.1007/s10846-025-02321-5
Artigo de periodico
One period to rule them all: identifying critical learning periods in deep networks (2025)
Fukase, Vinicius Yuiti; Gama, Heitor; Bueno, Barbara; Libanio, Lucas; Reali Costa, Anna Helena ; Correia, Artur Jordão Lima
Source: Procedia Computer Science. Unidade: EP
Subjects: REDES NEURAIS, APRENDIZAGEM PROFUNDA, CONSUMO DE ENERGIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUKASE, Vinicius Yuiti et al. One period to rule them all: identifying critical learning periods in deep networks. Procedia Computer Science, v. 264, p. 270-279, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.procs.2025.07.138. Acesso em: 20 jan. 2026.
APA
Fukase, V. Y., Gama, H., Bueno, B., Libanio, L., Reali Costa, A. H., & Correia, A. J. L. (2025). One period to rule them all: identifying critical learning periods in deep networks. Procedia Computer Science, 264, 270-279. doi:10.1016/j.procs.2025.07.138
NLM
Fukase VY, Gama H, Bueno B, Libanio L, Reali Costa AH, Correia AJL. One period to rule them all: identifying critical learning periods in deep networks [Internet]. Procedia Computer Science. 2025 ; 264 270-279.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.procs.2025.07.138
Vancouver
Fukase VY, Gama H, Bueno B, Libanio L, Reali Costa AH, Correia AJL. One period to rule them all: identifying critical learning periods in deep networks [Internet]. Procedia Computer Science. 2025 ; 264 270-279.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.procs.2025.07.138
Artigo de periodico
An empirical analysis of large language models for automated cross-prompt essay trait scoring in Brazilian Portuguese (2025)
Barbosa, André ; Silveira, Igor Cataneo ; Mauá, Denis Deratani
Source: Journal of the Brazilian Computer Society. Unidade: IME
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, REDAÇÃO, INTELIGÊNCIA ARTIFICIAL, APRENDIZAGEM PROFUNDA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARBOSA, André e SILVEIRA, Igor Cataneo e MAUÁ, Denis Deratani. An empirical analysis of large language models for automated cross-prompt essay trait scoring in Brazilian Portuguese. Journal of the Brazilian Computer Society, v. 31, n. 1, p. 858-871, 2025Tradução . . Disponível em: https://doi.org/10.5753/jbcs.2025.5817. Acesso em: 20 jan. 2026.
APA
Barbosa, A., Silveira, I. C., & Mauá, D. D. (2025). An empirical analysis of large language models for automated cross-prompt essay trait scoring in Brazilian Portuguese. Journal of the Brazilian Computer Society, 31( 1), 858-871. doi:10.5753/jbcs.2025.5817
NLM
Barbosa A, Silveira IC, Mauá DD. An empirical analysis of large language models for automated cross-prompt essay trait scoring in Brazilian Portuguese [Internet]. Journal of the Brazilian Computer Society. 2025 ; 31( 1): 858-871.[citado 2026 jan. 20 ] Available from: https://doi.org/10.5753/jbcs.2025.5817
Vancouver
Barbosa A, Silveira IC, Mauá DD. An empirical analysis of large language models for automated cross-prompt essay trait scoring in Brazilian Portuguese [Internet]. Journal of the Brazilian Computer Society. 2025 ; 31( 1): 858-871.[citado 2026 jan. 20 ] Available from: https://doi.org/10.5753/jbcs.2025.5817
Trabalho de evento
Isolating vocalizations beats denoising: spectrogram granularity and preprocessing in ecoacoustic classification (2025)
Lopes, Gustavo Lima ; Ponti, Moacir Antonelli ; Oliveira, Maria Cristina Ferreira de
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE PADRÕES, ACÚSTICA, MONITORAMENTO AMBIENTAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Gustavo Lima e PONTI, Moacir Antonelli e OLIVEIRA, Maria Cristina Ferreira de. Isolating vocalizations beats denoising: spectrogram granularity and preprocessing in ecoacoustic classification. 2025, Anais.. Piscataway: IEEE, 2025. Disponível em: https://doi.org/10.1109/SIBGRAPI67909.2025.11223394. Acesso em: 20 jan. 2026.
APA
Lopes, G. L., Ponti, M. A., & Oliveira, M. C. F. de. (2025). Isolating vocalizations beats denoising: spectrogram granularity and preprocessing in ecoacoustic classification. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI67909.2025.11223394
NLM
Lopes GL, Ponti MA, Oliveira MCF de. Isolating vocalizations beats denoising: spectrogram granularity and preprocessing in ecoacoustic classification [Internet]. Proceedings. 2025 ;[citado 2026 jan. 20 ] Available from: https://doi.org/10.1109/SIBGRAPI67909.2025.11223394
Vancouver
Lopes GL, Ponti MA, Oliveira MCF de. Isolating vocalizations beats denoising: spectrogram granularity and preprocessing in ecoacoustic classification [Internet]. Proceedings. 2025 ;[citado 2026 jan. 20 ] Available from: https://doi.org/10.1109/SIBGRAPI67909.2025.11223394
Artigo de periodico
Respiratory rate regression in Holstein dairy cattle with deep neural networks: an evaluation on different body regions (2025)
Curti, Paula de Freitas ; Souza, André Moreira ; Kobayashi, Livia Lissa ; Castanheira, Aline Mello ; Pinto, Diógenes Lodi ; Ruiz, Alexandre Merlos ; Andrietta, Lucas Tassoni ; Balieiro, Júlio Cesar de Carvalho ; Rennó, Francisco Palma ; Sousa, Elaine Parros Machado de ; Ventura, Ricardo Vieira
Source: Computers and Electronics in Agriculture. Unidades: FMVZ, ICMC
Subjects: VISÃO COMPUTACIONAL, APRENDIZAGEM PROFUNDA, PECUÁRIA LEITEIRA, GADO HOLANDÊS, ZOOTECNIA DE PRECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CURTI, Paula de Freitas et al. Respiratory rate regression in Holstein dairy cattle with deep neural networks: an evaluation on different body regions. Computers and Electronics in Agriculture, v. 239, p. 1-9, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2025.110987. Acesso em: 20 jan. 2026.
APA
Curti, P. de F., Souza, A. M., Kobayashi, L. L., Castanheira, A. M., Pinto, D. L., Ruiz, A. M., et al. (2025). Respiratory rate regression in Holstein dairy cattle with deep neural networks: an evaluation on different body regions. Computers and Electronics in Agriculture, 239, 1-9. doi:10.1016/j.compag.2025.110987
NLM
Curti P de F, Souza AM, Kobayashi LL, Castanheira AM, Pinto DL, Ruiz AM, Andrietta LT, Balieiro JC de C, Rennó FP, Sousa EPM de, Ventura RV. Respiratory rate regression in Holstein dairy cattle with deep neural networks: an evaluation on different body regions [Internet]. Computers and Electronics in Agriculture. 2025 ; 239 1-9.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.compag.2025.110987
Vancouver
Curti P de F, Souza AM, Kobayashi LL, Castanheira AM, Pinto DL, Ruiz AM, Andrietta LT, Balieiro JC de C, Rennó FP, Sousa EPM de, Ventura RV. Respiratory rate regression in Holstein dairy cattle with deep neural networks: an evaluation on different body regions [Internet]. Computers and Electronics in Agriculture. 2025 ; 239 1-9.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.compag.2025.110987
Dissertação (Mestrado)
Time series forecasting via machine learning using signal processing and exogenous features (2025)
Avila, Renan de Luca; De Bona, Glauber (Orientador)
Unidade: EP
Subjects: APRENDIZAGEM PROFUNDA, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AVILA, Renan de Luca. Time series forecasting via machine learning using signal processing and exogenous features. 2025. Dissertação (Mestrado) – Universidade de São Paulo, São Paulo, 2025. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-10122025-101408/pt-br.php. Acesso em: 20 jan. 2026.
APA
Avila, R. de L. (2025). Time series forecasting via machine learning using signal processing and exogenous features (Dissertação (Mestrado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3141/tde-10122025-101408/pt-br.php
NLM
Avila R de L. Time series forecasting via machine learning using signal processing and exogenous features [Internet]. 2025 ;[citado 2026 jan. 20 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-10122025-101408/pt-br.php
Vancouver
Avila R de L. Time series forecasting via machine learning using signal processing and exogenous features [Internet]. 2025 ;[citado 2026 jan. 20 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-10122025-101408/pt-br.php
Tese (Doutorado)
A novel deep learning architecture for handling uncertainty in facial anti-spoofing applications (2025)
Gutiérrez Menéndez, Armando Manuel; Bressan, Graça (Orientador)
Unidade: EP
Subjects: APRENDIZAGEM PROFUNDA, PROCESSAMENTO DE IMAGENS, ESTATÍSTICA PARA INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUTIÉRREZ MENÉNDEZ, Armando Manuel. A novel deep learning architecture for handling uncertainty in facial anti-spoofing applications. 2025. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2025. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-10122025-084731/pt-br.php. Acesso em: 20 jan. 2026.
APA
Gutiérrez Menéndez, A. M. (2025). A novel deep learning architecture for handling uncertainty in facial anti-spoofing applications (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3141/tde-10122025-084731/pt-br.php
NLM
Gutiérrez Menéndez AM. A novel deep learning architecture for handling uncertainty in facial anti-spoofing applications [Internet]. 2025 ;[citado 2026 jan. 20 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-10122025-084731/pt-br.php
Vancouver
Gutiérrez Menéndez AM. A novel deep learning architecture for handling uncertainty in facial anti-spoofing applications [Internet]. 2025 ;[citado 2026 jan. 20 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-10122025-084731/pt-br.php
Trabalho de evento-anais periodico
Predicting bull and bear markets: a deep learning and linear regression study in cryptocurrencies (2025)
Souza, João Paulo Costa e; Meneguette, Rodolfo Ipolito ; Gonçalves, Vinicius Pereira ; Mendonça, Fabio Lucio Lopes de ; Silva, Francisco Airton ; Rocha Filho, Geraldo Pereira
Source: Lecture Notes in Artificial Intelligence - LNAI. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, INTELIGÊNCIA ARTIFICIAL, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), DINHEIRO ELETRÔNICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, João Paulo Costa e et al. Predicting bull and bear markets: a deep learning and linear regression study in cryptocurrencies. Lecture Notes in Artificial Intelligence - LNAI. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-79032-4_20. Acesso em: 20 jan. 2026. , 2025
APA
Souza, J. P. C. e, Meneguette, R. I., Gonçalves, V. P., Mendonça, F. L. L. de, Silva, F. A., & Rocha Filho, G. P. (2025). Predicting bull and bear markets: a deep learning and linear regression study in cryptocurrencies. Lecture Notes in Artificial Intelligence - LNAI. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1007/978-3-031-79032-4_20
NLM
Souza JPC e, Meneguette RI, Gonçalves VP, Mendonça FLL de, Silva FA, Rocha Filho GP. Predicting bull and bear markets: a deep learning and linear regression study in cryptocurrencies [Internet]. Lecture Notes in Artificial Intelligence - LNAI. 2025 ; 15413 281-295.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_20
Vancouver
Souza JPC e, Meneguette RI, Gonçalves VP, Mendonça FLL de, Silva FA, Rocha Filho GP. Predicting bull and bear markets: a deep learning and linear regression study in cryptocurrencies [Internet]. Lecture Notes in Artificial Intelligence - LNAI. 2025 ; 15413 281-295.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_20
Trabalho de evento-anais periodico
SentinelAdvMedical: toward adversarial attacks detection on medical image classification via Out-Of-Distribution strategies (2025)
Aguiar, Erikson Júlio de ; Traina, Agma Juci Machado ; Helal, Sumi
Source: Proceedings of SPIE. Conference titles: SPIE Medical Imaging. Unidade: ICMC
Subjects: BANCO DE DADOS MULTIMÍDIA, RECONHECIMENTO DE IMAGEM, APRENDIZAGEM PROFUNDA, SEGURANÇA DE REDES, TOMOGRAFIA DE COERÊNCIA ÓPTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AGUIAR, Erikson Júlio de e TRAINA, Agma Juci Machado e HELAL, Sumi. SentinelAdvMedical: toward adversarial attacks detection on medical image classification via Out-Of-Distribution strategies. Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. Disponível em: https://doi.org/10.1117/12.3046951. Acesso em: 20 jan. 2026. , 2025
APA
Aguiar, E. J. de, Traina, A. J. M., & Helal, S. (2025). SentinelAdvMedical: toward adversarial attacks detection on medical image classification via Out-Of-Distribution strategies. Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. doi:10.1117/12.3046951
NLM
Aguiar EJ de, Traina AJM, Helal S. SentinelAdvMedical: toward adversarial attacks detection on medical image classification via Out-Of-Distribution strategies [Internet]. Proceedings of SPIE. 2025 ; 13407 34072U-1-134072U-7.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1117/12.3046951
Vancouver
Aguiar EJ de, Traina AJM, Helal S. SentinelAdvMedical: toward adversarial attacks detection on medical image classification via Out-Of-Distribution strategies [Internet]. Proceedings of SPIE. 2025 ; 13407 34072U-1-134072U-7.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1117/12.3046951
Trabalho de evento-anais periodico
Portuguese emotion detection model using BERTimbau applied to COVID-19 news and replies (2025)
Oliveira, Francisco Braulio; Sichman, Jaime S.
Source: Lecture Notes in Computer Science. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: EP
Subjects: APRENDIZAGEM PROFUNDA, EMOÇÕES, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Francisco Braulio e SICHMAN, Jaime S. Portuguese emotion detection model using BERTimbau applied to COVID-19 news and replies. Lecture Notes in Computer Science. Cham: Escola Politécnica, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-79032-4_19. Acesso em: 20 jan. 2026. , 2025
APA
Oliveira, F. B., & Sichman, J. S. (2025). Portuguese emotion detection model using BERTimbau applied to COVID-19 news and replies. Lecture Notes in Computer Science. Cham: Escola Politécnica, Universidade de São Paulo. doi:10.1007/978-3-031-79032-4_19
NLM
Oliveira FB, Sichman JS. Portuguese emotion detection model using BERTimbau applied to COVID-19 news and replies [Internet]. Lecture Notes in Computer Science. 2025 ; 15413( Ja 2025): 265-280.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_19
Vancouver
Oliveira FB, Sichman JS. Portuguese emotion detection model using BERTimbau applied to COVID-19 news and replies [Internet]. Lecture Notes in Computer Science. 2025 ; 15413( Ja 2025): 265-280.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_19
Artigo de periodico
Revealing patterns in major depressive disorder with machine learning and networks (2025)
Sallum, Loriz Francisco ; Alves, Caroline Lourenço ; Toutain, Thaise Graziele Lima de ; Porto, Joel Augusto Moura ; Thielemann, Christiane ; Rodrigues, Francisco Aparecido
Source: Chaos, Solitons and Fractals. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística, IFSC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, APRENDIZAGEM PROFUNDA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SALLUM, Loriz Francisco et al. Revealing patterns in major depressive disorder with machine learning and networks. Chaos, Solitons and Fractals, v. 194, p. 116163-1-116163-16, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2025.116163. Acesso em: 20 jan. 2026.
APA
Sallum, L. F., Alves, C. L., Toutain, T. G. L. de, Porto, J. A. M., Thielemann, C., & Rodrigues, F. A. (2025). Revealing patterns in major depressive disorder with machine learning and networks. Chaos, Solitons and Fractals, 194, 116163-1-116163-16. doi:10.1016/j.chaos.2025.116163
NLM
Sallum LF, Alves CL, Toutain TGL de, Porto JAM, Thielemann C, Rodrigues FA. Revealing patterns in major depressive disorder with machine learning and networks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116163-1-116163-16.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.chaos.2025.116163
Vancouver
Sallum LF, Alves CL, Toutain TGL de, Porto JAM, Thielemann C, Rodrigues FA. Revealing patterns in major depressive disorder with machine learning and networks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116163-1-116163-16.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.chaos.2025.116163
Artigo de periodico
Data generation and deep neural network predictions for aged mechanical properties (2025)
Pires, Ênio H.; Barros, Silvio de ; Casari, Pascal; Ribeiro, Marcelo Leite
Source: Polymer Engineering and Science. Unidade: EESC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZAGEM PROFUNDA, POLÍMEROS (MATERIAIS), ENGENHARIA AERONÁUTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PIRES, Ênio H. et al. Data generation and deep neural network predictions for aged mechanical properties. Polymer Engineering and Science, p. 1-17, 2025Tradução . . Disponível em: http://dx.doi.org/10.1002/pen.27196. Acesso em: 20 jan. 2026.
APA
Pires, Ê. H., Barros, S. de, Casari, P., & Ribeiro, M. L. (2025). Data generation and deep neural network predictions for aged mechanical properties. Polymer Engineering and Science, 1-17. doi:10.1002/pen.27196
NLM
Pires ÊH, Barros S de, Casari P, Ribeiro ML. Data generation and deep neural network predictions for aged mechanical properties [Internet]. Polymer Engineering and Science. 2025 ; 1-17.[citado 2026 jan. 20 ] Available from: http://dx.doi.org/10.1002/pen.27196
Vancouver
Pires ÊH, Barros S de, Casari P, Ribeiro ML. Data generation and deep neural network predictions for aged mechanical properties [Internet]. Polymer Engineering and Science. 2025 ; 1-17.[citado 2026 jan. 20 ] Available from: http://dx.doi.org/10.1002/pen.27196
Artigo de periodico
On the power of CNNs to detect slums in Brazil (2025)
Silva, João Pedro da; Rodrigues Junior, José Fernando ; Albuquerque, João Porto de
Source: Computers, Environment and Urban Systems. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, REDES NEURAIS, RECONHECIMENTO DE IMAGEM, FAVELAS, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, João Pedro da e RODRIGUES JUNIOR, José Fernando e ALBUQUERQUE, João Porto de. On the power of CNNs to detect slums in Brazil. Computers, Environment and Urban Systems, v. 121, p. 1-15, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.compenvurbsys.2025.102306. Acesso em: 20 jan. 2026.
APA
Silva, J. P. da, Rodrigues Junior, J. F., & Albuquerque, J. P. de. (2025). On the power of CNNs to detect slums in Brazil. Computers, Environment and Urban Systems, 121, 1-15. doi:10.1016/j.compenvurbsys.2025.102306
NLM
Silva JP da, Rodrigues Junior JF, Albuquerque JP de. On the power of CNNs to detect slums in Brazil [Internet]. Computers, Environment and Urban Systems. 2025 ; 121 1-15.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.compenvurbsys.2025.102306
Vancouver
Silva JP da, Rodrigues Junior JF, Albuquerque JP de. On the power of CNNs to detect slums in Brazil [Internet]. Computers, Environment and Urban Systems. 2025 ; 121 1-15.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1016/j.compenvurbsys.2025.102306
Artigo de periodico
Pruning everything, everywhere, all at once (2025)
Nascimento, Gustavo Henrique do; Pons, Ian Guarim; Reali Costa, Anna Helena ; Correia, Artur Jordão Lima
Source: IJCNN. Conference titles: International Joint Conference on Neural Networks. Unidade: EP
Subjects: ARQUITETURA E ORGANIZAÇÃO DE COMPUTADORES, ROBUSTEZ, APRENDIZAGEM PROFUNDA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NASCIMENTO, Gustavo Henrique do et al. Pruning everything, everywhere, all at once. IJCNN, 2025Tradução . . Disponível em: https://doi.org/10.1109/IJCNN64981.2025.11228155. Acesso em: 20 jan. 2026.
APA
Nascimento, G. H. do, Pons, I. G., Reali Costa, A. H., & Correia, A. J. L. (2025). Pruning everything, everywhere, all at once. IJCNN. doi:10.1109/IJCNN64981.2025.11228155
NLM
Nascimento GH do, Pons IG, Reali Costa AH, Correia AJL. Pruning everything, everywhere, all at once [Internet]. IJCNN. 2025 ;[citado 2026 jan. 20 ] Available from: https://doi.org/10.1109/IJCNN64981.2025.11228155
Vancouver
Nascimento GH do, Pons IG, Reali Costa AH, Correia AJL. Pruning everything, everywhere, all at once [Internet]. IJCNN. 2025 ;[citado 2026 jan. 20 ] Available from: https://doi.org/10.1109/IJCNN64981.2025.11228155
Artigo de periodico
Pdarts: projected differentiable architecture search for seismic inversion (2025)
Souza, Lucas Candiani ; Carvalho Junior, Carlos Gomes de; Cerri, Ricardo ; Gomi, Edson Satoshi ; Carmo, Bruno Souza ; Senger, Hermes ; Naldi, Murilo Coelho
Source: Machine Learning. Unidades: ICMC, EP
Subjects: APRENDIZAGEM PROFUNDA, ARQUITETURA DE INFORMAÇÃO, REDES NEURAIS, TRANSFORMADA DE FOURIER, ONDAS SÍSMICAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Lucas Candiani et al. Pdarts: projected differentiable architecture search for seismic inversion. Machine Learning, v. No 2025, n. 11, p. 1-31, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10994-025-06883-1. Acesso em: 20 jan. 2026.
APA
Souza, L. C., Carvalho Junior, C. G. de, Cerri, R., Gomi, E. S., Carmo, B. S., Senger, H., & Naldi, M. C. (2025). Pdarts: projected differentiable architecture search for seismic inversion. Machine Learning, No 2025( 11), 1-31. doi:10.1007/s10994-025-06883-1
NLM
Souza LC, Carvalho Junior CG de, Cerri R, Gomi ES, Carmo BS, Senger H, Naldi MC. Pdarts: projected differentiable architecture search for seismic inversion [Internet]. Machine Learning. 2025 ; No 2025( 11): 1-31.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/s10994-025-06883-1
Vancouver
Souza LC, Carvalho Junior CG de, Cerri R, Gomi ES, Carmo BS, Senger H, Naldi MC. Pdarts: projected differentiable architecture search for seismic inversion [Internet]. Machine Learning. 2025 ; No 2025( 11): 1-31.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/s10994-025-06883-1
Artigo de periodico
Measurement of the depth of maximum of air-shower profiles with energies between 10^18.5 and 10^20 eV using the surface detector of the Pierre Auger Observatory and deep learning (2025)
Halim, Adila Binti Abdul ; Catalani, Fernando ; Souza, Vitor de ; Santos, Edivaldo Moura ; Oliveira, Cainã de ; Peixoto, Carlos Jose Todero
Source: Physical Review D. Unidades: EEL, IFSC, IF
Subjects: RAIOS CÓSMICOS, APRENDIZAGEM PROFUNDA, ASTROFÍSICA, OBSERVATÓRIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HALIM, Adila Binti Abdul et al. Measurement of the depth of maximum of air-shower profiles with energies between 10^18.5 and 10^20 eV using the surface detector of the Pierre Auger Observatory and deep learning. Physical Review D, v. 111, n. Ja 2025, p. 022003-1-022003-30, 2025Tradução . . Disponível em: https://doi.org/10.1103/PhysRevD.111.022003. Acesso em: 20 jan. 2026.
APA
Halim, A. B. A., Catalani, F., Souza, V. de, Santos, E. M., Oliveira, C. de, & Peixoto, C. J. T. (2025). Measurement of the depth of maximum of air-shower profiles with energies between 10^18.5 and 10^20 eV using the surface detector of the Pierre Auger Observatory and deep learning. Physical Review D, 111( Ja 2025), 022003-1-022003-30. doi:10.1103/PhysRevD.111.022003
NLM
Halim ABA, Catalani F, Souza V de, Santos EM, Oliveira C de, Peixoto CJT. Measurement of the depth of maximum of air-shower profiles with energies between 10^18.5 and 10^20 eV using the surface detector of the Pierre Auger Observatory and deep learning [Internet]. Physical Review D. 2025 ; 111( Ja 2025): 022003-1-022003-30.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1103/PhysRevD.111.022003
Vancouver
Halim ABA, Catalani F, Souza V de, Santos EM, Oliveira C de, Peixoto CJT. Measurement of the depth of maximum of air-shower profiles with energies between 10^18.5 and 10^20 eV using the surface detector of the Pierre Auger Observatory and deep learning [Internet]. Physical Review D. 2025 ; 111( Ja 2025): 022003-1-022003-30.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1103/PhysRevD.111.022003

USP Schools

ReP

Filtros

Document Types

USP Schools

Departament

Authors

USP affiliated authors

Date published

Subjects

Source title

Publisher

Conference titles

ODS

Countries/Territories

Grupo de pesquisa

Funding Agencies

Indexado em

Non normalized affiliation

Countries of institutions of collaboration

Área de concentração

Sigla do Departamento/Programa de Pós Graduação

Departamento/Programa de Pós Graduação