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Resultados de 1 a 10 de 168  para Produção Intelectual da USP

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1
KluSIM speeding up k-medoids clustering over dimensional data with metric access method
KluSIM speeding up k-medoids clustering over dimensional data with metric access method
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

KluSIM speeding up k-medoids clustering over dimensional data with metric access method

Larissa Roberta Teixeira Igor Alberte Rodrigues Eleutério; Mirela Teixeira Cazzolato; Marco Antonio Gutierrez; Agma Juci Machado Traina; Caetano Traina Junior; International Conference on Enterprise Information Systems - ICEIS (26. 2024 Angers, France)

Proceedings Setúbal : SciTePress, 2024

Setúbal SciTePress 2024

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3194324 )(Acessar)

2
Towards the detection of microservice patterns based on metrics
Towards the detection of microservice patterns based on metrics
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Towards the detection of microservice patterns based on metrics

João Daniel Eduardo Martins Guerra; Thatiane de Oliveira Rosa; Alfredo Goldman; Euromicro Conference on Software Engineering and Advanced Applications - SEAA (49. 2023 Durres, Albania)

Proceedings Piscataway : IEEE, 2023

Piscataway IEEE 2023

Localização: IME - Inst. Matemática e Estatística    (PROD-3181929 )(Acessar)

3
CallMine fraud detection and visualization of million-scale call graphs
CallMine fraud detection and visualization of million-scale call graphs
Material Type:
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CallMine fraud detection and visualization of million-scale call graphs

Mirela Teixeira Cazzolato Saranya Vijayakumar; Meng-Chieh Lee; Catalina Vajiac; Namyong Park; Pedro Fidalgo; Agma Juci Machado Traina; Christos Faloutsos; ACM International Conference on Information and Knowledge Management - CIKM (32. 2023 Birmingham, United Kingdom)

Proceedings New York : ACM, 2023

New York ACM 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3196543 )(Acessar)

4
Heterogeneous graph neural network for music emotion recognition
Heterogeneous graph neural network for music emotion recognition
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Heterogeneous graph neural network for music emotion recognition

Angelo Cesar Mendes da Silva Diego Furtado Silva; Ricardo Marcondes Marcacini; International Society for Music Information Retrieval Conference - ISMIR (23. 2022 Bengaluru, India)

Proceedings Bengaluru : International Society for Music Information Retrieval, 2022

Bengaluru International Society for Music Information Retrieval 2022

Acesso online. A biblioteca também possui exemplares impressos.

5
Human-ChatBot interaction measuring the psychophysiological reactions of chatbot users
Human-ChatBot interaction measuring the psychophysiological reactions of chatbot users
Material Type:
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Human-ChatBot interaction measuring the psychophysiological reactions of chatbot users

Helen Santos Picoli Cynthya Letícia Teles de Oliveira; Lucas Padilha Modesto de Araujo; Marcelo Garcia Manzato; Kamila Rios da Hora Rodrigues; Brazilian Symposium on Multimedia and the Web - WebMedia (28. 2022 Curitiba)

Proceedings New York : ACM, 2022

New York ACM 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3105462 )(Acessar)

6
Using fractal interpolation over complex network modeling of deep texture representation
Using fractal interpolation over complex network modeling of deep texture representation
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Using fractal interpolation over complex network modeling of deep texture representation

João Batista Florindo Odemir Martinez Bruno; International Conference on Image Processing Theory, Tools and Applications - IPTA (11. 2022 Virtual)

Proceedings Piscataway : Institute of Electrical and Electronic Engineers - IEEE, 2022

Piscataway Institute of Electrical and Electronic Engineers - IEEE 2022

Localização: IFSC - Inst. Física de São Carlos    (PROD033152 )(Acessar)

7
Public administration suppliers classification model based on supervised machine learning
Public administration suppliers classification model based on supervised machine learning
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Public administration suppliers classification model based on supervised machine learning

Joselito M. de Sousa Junior Vinícius Ponte Machado; Rodrigo de Melo Souza Veras; Roney Lira de Sales Santos; Bruno Vicente Alves de Lima; Alice Montenegro Leal Silva; Francisco Alysson da S Sousa; Francisco das Chagas Imperes Filho; Brazilian Symposium on Information Systems - SBSI (18. 2022 Curitiba)

Proceedings New York : ACM, 2022

New York ACM 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3086901 )(Acessar)

8
Evaluating methods for extraction of aspect terms in opinion texts in portuguese the challenges of implicit aspects
Evaluating methods for extraction of aspect terms in opinion texts in portuguese the challenges of implicit aspects
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Evaluating methods for extraction of aspect terms in opinion texts in portuguese the challenges of implicit aspects

Mateus Tarcinalli Machado Thiago Alexandre Salgueiro Pardo; Conference on Language Resources and Evaluation - LREC (13. 2022 Marseille)

Proceedings Paris : European Language Resources Association - ELRA, 2022

Paris European Language Resources Association - ELRA 2022

Acesso online. A biblioteca também possui exemplares impressos.

9
Complex texture features learned by applying randomized neural network on graphs
Complex texture features learned by applying randomized neural network on graphs
Material Type:
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Complex texture features learned by applying randomized neural network on graphs

Kallil M. C. Zielinski Lucas Correia Ribas; Leonardo Scabini; Odemir Martinez Bruno; International Conference on Image Processing Theory, Tools and Applications - IPTA (11. 2022 Virtual)

Proceedings Piscataway : Institute of Electrical and Electronic Engineers - IEEE, 2022

Piscataway Institute of Electrical and Electronic Engineers - IEEE 2022

Localização: IFSC - Inst. Física de São Carlos    (PROD033151 )(Acessar)

10
Dissecting the high-frequency bias in convolutional neural networks
Dissecting the high-frequency bias in convolutional neural networks
Material Type:
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Dissecting the high-frequency bias in convolutional neural networks

Antonio Augusto Abello Roberto Hirata Júnior; Zhangyang Wang; Conference on Computer Vision and Pattern Recognition Workshops - CVPRW (2021 Nashville, TN)

Proceedings Piscataway : IEEE, 2021

Piscataway IEEE 2021

Localização: IME - Inst. Matemática e Estatística    (PROD-3042384 )(Acessar)

Resultados de 1 a 10 de 168  para Produção Intelectual da USP

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