UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Applications of Deep Learning and Reinforcement Learning to Biological Data

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2063-2079

2018

Volltextzugriff (PDF)

Task-Driven Dictionary Learning

IEEE transactions on pattern analysis and machine intelligence, 2012-04, Vol.34 (4), p.791-804

2012

Volltextzugriff (PDF)

Learning Discriminant Face Descriptor

IEEE transactions on pattern analysis and machine intelligence, 2014-02, Vol.36 (2), p.289-302

2014

Volltextzugriff (PDF)

Attention Residual Learning for Skin Lesion Classification

IEEE transactions on medical imaging, 2019-09, Vol.38 (9), p.2092-2103

2019

Volltextzugriff (PDF)

Riemannian Procrustes Analysis: Transfer Learning for Brain-Computer Interfaces

IEEE transactions on biomedical engineering, 2019-08, Vol.66 (8), p.2390-2401

2019

Volltextzugriff (PDF)

k -Space Deep Learning for Accelerated MRI

IEEE transactions on medical imaging, 2020-02, Vol.39 (2), p.377-386

2020

Volltextzugriff (PDF)

Genetic Learning Particle Swarm Optimization

IEEE transactions on cybernetics, 2016-10, Vol.46 (10), p.2277-2290

2016

Volltextzugriff (PDF)

Deep Learning Diffuse Optical Tomography

IEEE transactions on medical imaging, 2020-04, Vol.39 (4), p.877-887

2020

Volltextzugriff (PDF)

Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

IEEE transactions on medical imaging, 2019-08, Vol.38 (8), p.1777-1787

2019

Volltextzugriff (PDF)

Representation Learning: A Review and New Perspectives

IEEE transactions on pattern analysis and machine intelligence, 2013-08, Vol.35 (8), p.1798-1828

2013

Volltextzugriff (PDF)

Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.635-641

2014

Volltextzugriff (PDF)

Learning Graph Matching

IEEE transactions on pattern analysis and machine intelligence, 2009-06, Vol.31 (6), p.1048-1058

2009

Volltextzugriff (PDF)

Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems

IEEE transactions on medical imaging, 2018-06, Vol.37 (6), p.1454-1463

2018

Volltextzugriff (PDF)

Tensor Learning for Regression

IEEE transactions on image processing, 2012-02, Vol.21 (2), p.816-827

2012

Volltextzugriff (PDF)

Riemannian Manifold Learning

IEEE transactions on pattern analysis and machine intelligence, 2008-05, Vol.30 (5), p.796-809

2008

Volltextzugriff (PDF)

Sharable and Individual Multi-View Metric Learning

IEEE transactions on pattern analysis and machine intelligence, 2018-09, Vol.40 (9), p.2281-2288

2018

Volltextzugriff (PDF)

Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment Approach

IEEE transactions on biomedical engineering, 2020-02, Vol.67 (2), p.399-410

2020

Volltextzugriff (PDF)

The What-If Tool: Interactive Probing of Machine Learning Models

IEEE transactions on visualization and computer graphics, 2020-01, Vol.26 (1), p.56-65

2020

Volltextzugriff (PDF)

Prediction of Drug-Target Interactions Based on Network Representation Learning and Ensemble Learning

IEEE/ACM transactions on computational biology and bioinformatics, 2021-11, Vol.18 (6), p.2671-2681

2021

Volltextzugriff (PDF)

Learning Multimodal Latent Attributes

IEEE transactions on pattern analysis and machine intelligence, 2014-02, Vol.36 (2), p.303-316

2014

Volltextzugriff (PDF)

Learning from Ambiguously Labeled Face Images

IEEE transactions on pattern analysis and machine intelligence, 2018-07, Vol.40 (7), p.1653-1667

2018

Volltextzugriff (PDF)

Kullback-Leibler Divergence Metric Learning

IEEE transactions on cybernetics, 2022-04, Vol.52 (4), p.2047-2058

2022

Volltextzugriff (PDF)

On Learning Disentangled Representations for Gait Recognition

IEEE transactions on pattern analysis and machine intelligence, 2022-01, Vol.44 (1), p.345-360

2022

Volltextzugriff (PDF)

Image Reconstruction is a New Frontier of Machine Learning

IEEE transactions on medical imaging, 2018-06, Vol.37 (6), p.1289-1296

2018

Volltextzugriff (PDF)

Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders

IEEE journal of biomedical and health informatics, 2020-01, Vol.24 (1), p.17-26

2020

Volltextzugriff (PDF)

1 – 25 von 7.709

Menü

Weitere Dienste

Einstellungen

Applications of Deep Learning and Reinforcement Learning to Biological Data

Task-Driven Dictionary Learning

Learning Discriminant Face Descriptor

Attention Residual Learning for Skin Lesion Classification

Riemannian Procrustes Analysis: Transfer Learning for Brain-Computer Interfaces

k -Space Deep Learning for Accelerated MRI

Genetic Learning Particle Swarm Optimization

Deep Learning Diffuse Optical Tomography

Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

Representation Learning: A Review and New Perspectives

Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique

Learning Graph Matching

Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems

Tensor Learning for Regression

Riemannian Manifold Learning

Sharable and Individual Multi-View Metric Learning

Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment Approach

The What-If Tool: Interactive Probing of Machine Learning Models

Prediction of Drug-Target Interactions Based on Network Representation Learning and Ensemble Learning

Learning Multimodal Latent Attributes

Learning from Ambiguously Labeled Face Images

Kullback-Leibler Divergence Metric Learning

On Learning Disentangled Representations for Gait Recognition

Image Reconstruction is a New Frontier of Machine Learning

Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders

Aktive Filter

Suchergebnisse filtern