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Resultados 1 - 10 de 397  para Producción Intelectual USP

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1
Bayesian network quantization method and structural learning
Bayesian network quantization method and structural learning
Material Type:
Tesis de Doctorado 		Añadir a Mi Portal

Bayesian network quantization method and structural learning

Ribeiro, Rafael Rodrigues Mendes

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Escola de Engenharia de São Carlos 2024-02-05

Acceso en línea

2
From seed to canopy: high-throughput phenotyping and machine learning in soybean breeding
From seed to canopy: high-throughput phenotyping and machine learning in soybean breeding
Material Type:
Tesis de Doctorado 		Añadir a Mi Portal

From seed to canopy: high-throughput phenotyping and machine learning in soybean breeding

Miranda, Melissa Cristina De Carvalho

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Escola Superior de Agricultura Luiz de Queiroz 2024-05-02

Acceso en línea

3
Meta-Learning applied to Neural Architecture Search. Towards new interactive learning approaches for indexing and analyzing images from expert domains
Meta-Learning applied to Neural Architecture Search. Towards new interactive learning approaches for indexing and analyzing images from expert domains
Material Type:
Tesis de Doctorado 		Añadir a Mi Portal

Meta-Learning applied to Neural Architecture Search. Towards new interactive learning approaches for indexing and analyzing images from expert domains

Pereira, Gean Trindade

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Instituto de Ciências Matemáticas e de Computação 2024-03-18

Acceso en línea

4
The impact of representation learning on unsupervised graph neural networks for one-class recommendation
The impact of representation learning on unsupervised graph neural networks for one-class recommendation
Material Type:
Artículo 		Añadir a Mi Portal

The impact of representation learning on unsupervised graph neural networks for one-class recommendation

Marcos Paulo Silva Gôlo Leonardo Gonçalves de Moraes; Rudinei Goularte; Ricardo Marcondes Marcacini

Journal of Information and Data Management - JIDM Porto Alegre v. 15, n. 1, p. 112-122, 2024

Porto Alegre 2024

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-3191139 )(Obténgalo)

5
ConSentiment: Análise de Sentimentos baseada em Aspectos a partir de Consenso de Modelos em Grafos
ConSentiment: Análise de Sentimentos baseada em Aspectos a partir de Consenso de Modelos em Grafos
Material Type:
Tesis de Maestria 		Añadir a Mi Portal

ConSentiment: Análise de Sentimentos baseada em Aspectos a partir de Consenso de Modelos em Grafos

Marcon, Guilherme Dos Santos

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Instituto de Ciências Matemáticas e de Computação 2024-04-16

Acceso en línea

6
Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning
Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning
Material Type:
Artículo 		Añadir a Mi Portal

Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning

Sina Borzooei Leonardo Scabini; Gisele Helena Barboni Miranda; Saba Daneshgar; Lukas Deblieck; Odemir Martinez Bruno; Piet De Langhe; Bernard De Baets; Ingmar Nopens; Elena Torfs

Journal of Water Process Engineering Amsterdam v. 64, p. 105692-1-105692-13, Jul. 2024

Amsterdam 2024

Disponible en IFSC - Inst. Física de São Carlos    (PROD035972 )(Obténgalo)

7
Learning a complex network representation for shape classification
Learning a complex network representation for shape classification
Material Type:
Artículo 		Añadir a Mi Portal

Learning a complex network representation for shape classification

Lucas Correia Ribas Odemir Martinez Bruno

Pattern Recognition Amsterdam v. 154, p. 110566-1-110566-10 + supplementary data, Oct. 2024

Amsterdam 2024

Comprobar fondos(Obténgalo)

8
Improving pluvial flood mapping resolution of large coarse models with deep learning
Improving pluvial flood mapping resolution of large coarse models with deep learning
Material Type:
Artículo 		Añadir a Mi Portal

Improving pluvial flood mapping resolution of large coarse models with deep learning

César Ambrogi Ferreira do Lago José Artur Teixeira Brasil; Marcus Nóbrega Gomes Junior; Eduardo Mario Mendiondo; Marcio Hofheinz Giacomoni

Hydrological Sciences Journal Abingdon, UK : Taylor & Francis, 2024 v. 69, n. 5, p. 607-621, 2024

Abingdon, United Kingdom 2024

Disponible en EESC - Esc. Engenharia de São Carlos    (PROD-027127 )(Obténgalo)

9
A deep learning workflow enhanced with optical flow fields for flood risk estimation
A deep learning workflow enhanced with optical flow fields for flood risk estimation
Material Type:
Artículo 		Añadir a Mi Portal

A deep learning workflow enhanced with optical flow fields for flood risk estimation

Caetano Mazzoni Ranieri Thais Luiza Donega e Souza; Marislei Nishijima; Bhaskar Krishnamachari; Jó Ueyama

Applied Intelligence New York : Springer v. 54, p. 5536-5557, 2024

New York 2024

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-3192928 )(Obténgalo)

10
Machine learning techniques for improving multiclass anomaly detection on conveyor belts
Machine learning techniques for improving multiclass anomaly detection on conveyor belts
Material Type:
Artículo de Congreso 		Añadir a Mi Portal

Machine learning techniques for improving multiclass anomaly detection on conveyor belts

Saulo Neves Matos Otavio Ferracioli Coletti; Rafael Zimmer; Fernando Ugucioni Filho; Ricardo C. C. L. de Carvalho; Victor Rodrigues da Silva; Jorge Luiz Franco; Thomas Vargas Barsante e Pinto; Luiz Guilherme Dias de Barros; Caetano Mazzoni Ranieri; Bruno Eduardo Lopes; Diego Furtado Silva; Jó Ueyama; Gustavo Pessin; IEEE International Instrumentation and Measurement Technology Conference - I2MTC (2024 Glasgow, United Kingdom)

Proceedings Piscataway : IEEE, 2024

Piscataway IEEE 2024

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-3201957 )(Obténgalo)

Resultados 1 - 10 de 397  para Producción Intelectual USP

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por este autor/creador:

  1. Romero, R
  2. Ponti, M
  3. Carvalho, A
  4. Liang, Z
  5. Del Moral Hernandez, E

con este tema:

  1. Aprendizado Computacional
  2. Machine Learning
  3. INTELIGÊNCIA ARTIFICIAL
  4. Neural Networks
  5. Visão Computacional

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