skip to main content
Idioma:
previous page 1 Resultados 2 3 4 5 next page
Mostrar Somente
Refinado por: Base de dados/Biblioteca: Aerospace Database remover
Result Number Material Type Add to My Shelf Action Record Details and Options
11
Modulation Classification Based on Signal Constellation Diagrams and Deep Learning
Modulation Classification Based on Signal Constellation Diagrams and Deep Learning
Material Type:
Artigo 		Adicionar ao Meu Espaço

Modulation Classification Based on Signal Constellation Diagrams and Deep Learning

Peng, Shengliang ; Jiang, Hanyu ; Wang, Huaxia ; Alwageed, Hathal ; Zhou, Yu ; Sebdani, Marjan Mazrouei ; Yao, Yu-Dong

IEEE transaction on neural networks and learning systems, 2019-03, Vol.30 (3), p.718-727

United States: IEEE

Texto completo disponível

Citações Citado por
12
Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data
Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data
Material Type:
Artigo 		Adicionar ao Meu Espaço

Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

Khan, Salman H. ; Hayat, Munawar ; Bennamoun, Mohammed ; Sohel, Ferdous A. ; Togneri, Roberto

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3573-3587

United States: IEEE

Texto completo disponível

Citações Citado por
13
Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy
Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy
Material Type:
Artigo 		Adicionar ao Meu Espaço

Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy

Dal Pozzolo, Andrea ; Boracchi, Giacomo ; Caelen, Olivier ; Alippi, Cesare ; Bontempi, Gianluca

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3784-3797

United States: IEEE

Texto completo disponível

Citações Citado por
14
Supervised Learning Based on Temporal Coding in Spiking Neural Networks
Supervised Learning Based on Temporal Coding in Spiking Neural Networks
Material Type:
Artigo 		Adicionar ao Meu Espaço

Supervised Learning Based on Temporal Coding in Spiking Neural Networks

Mostafa, Hesham

IEEE transaction on neural networks and learning systems, 2018-07, Vol.29 (7), p.3227-3235

United States: IEEE

Texto completo disponível

Citações Citado por
15
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
Material Type:
Artigo 		Adicionar ao Meu Espaço

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics

Chong Zhang ; Pin Lim ; Qin, A. K. ; Kay Chen Tan

IEEE transaction on neural networks and learning systems, 2017-10, Vol.28 (10), p.2306-2318

United States: IEEE

Texto completo disponível

Citações Citado por
16
Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization
Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization
Material Type:
Artigo 		Adicionar ao Meu Espaço

Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization

Wang, Yang ; Wu, Lin ; Lin, Xuemin ; Gao, Junbin

IEEE transaction on neural networks and learning systems, 2018-10, Vol.29 (10), p.4833-4843

United States: IEEE

Texto completo disponível

Citações Citado por
17
Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis
Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis
Material Type:
Artigo 		Adicionar ao Meu Espaço

Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis

Tran, Dat Thanh ; Iosifidis, Alexandros ; Kanniainen, Juho ; Gabbouj, Moncef

IEEE transaction on neural networks and learning systems, 2019-05, Vol.30 (5), p.1407-1418

United States: IEEE

Texto completo disponível

Citações Citado por
18
Deep Learning in Microscopy Image Analysis: A Survey
Deep Learning in Microscopy Image Analysis: A Survey
Material Type:
Artigo 		Adicionar ao Meu Espaço

Deep Learning in Microscopy Image Analysis: A Survey

Xing, Fuyong ; Xie, Yuanpu ; Su, Hai ; Liu, Fujun ; Yang, Lin

IEEE transaction on neural networks and learning systems, 2018-10, Vol.29 (10), p.4550-4568

United States: IEEE

Texto completo disponível

Citações Citado por
19
Classification in the Presence of Label Noise: A Survey
Classification in the Presence of Label Noise: A Survey
Material Type:
Artigo 		Adicionar ao Meu Espaço

Classification in the Presence of Label Noise: A Survey

Frenay, Benoit ; Verleysen, Michel

IEEE transaction on neural networks and learning systems, 2014-05, Vol.25 (5), p.845-869

New York, NY: IEEE

Texto completo disponível

Citações Citado por
20
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
Material Type:
Artigo 		Adicionar ao Meu Espaço

Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

Chen, C. L. Philip ; Liu, Zhulin

IEEE transaction on neural networks and learning systems, 2018-01, Vol.29 (1), p.10-24

United States: IEEE

Texto completo disponível

Citações Citado por
previous page 1 Resultados 2 3 4 5 next page

Personalize Seus Resultados

  1. Editar

Refine Search Results

Expandir Meus Resultados

  1.   

Mostrar Somente

  1. Revistas revisadas por pares (2.655)

Refinar Meus Resultados

Tipo de Recurso 

  1. Artigos  (6.225)
  2. Anais de Congresso  (371)
  3. magazinearticle  (69)
  4. Livros  (1)
  5. Mais opções open sub menu

Data de Publicação 

De até
Refinar
  1. Antes de1981  (459)
  2. 1981Até1990  (1.067)
  3. 1991Até2000  (518)
  4. 2001Até2011  (2.481)
  5. Após 2011  (2.142)
  6. Mais opções open sub menu

Idioma 

  1. Japonês  (952)
  2. Alemão  (1)
  3. Mais opções open sub menu

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.