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...

Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study

Knowledge and information systems, 2015-02, Vol.42 (2), p.245-284

2015

Volltextzugriff (PDF)

Fault diagnosis of the hydraulic valve using a novel semi-supervised learning method based on multi-sensor information fusion

Mechanical systems and signal processing, 2023-04, Vol.189, p.110093, Article 110093

2023

Volltextzugriff (PDF)

A novel semi-supervised data-driven method for chiller fault diagnosis with unlabeled data

Applied energy, 2021-03, Vol.285, p.116459, Article 116459

2021

Volltextzugriff (PDF)

Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data

Information processing & management, 2023-07, Vol.60 (4), p.103361, Article 103361

2023

Volltextzugriff (PDF)

A review of research on co‐training

Concurrency and computation, 2023-08, Vol.35 (18), p.n/a

2023

Volltextzugriff (PDF)

A Data-Driven Soft Sensor Modeling Method Based on Deep Learning and its Application

IEEE transactions on industrial electronics (1982), 2017-05, Vol.64 (5), p.4237-4245

2017

Volltextzugriff (PDF)

Active Learning by Querying Informative and Representative Examples

IEEE transactions on pattern analysis and machine intelligence, 2014-10, Vol.36 (10), p.1936-1949

2014

Volltextzugriff (PDF)

Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data

Expert systems with applications, 2023-07, Vol.222, p.119824, Article 119824

2023

Volltextzugriff (PDF)

Towards Making Unlabeled Data Never Hurt

IEEE transactions on pattern analysis and machine intelligence, 2015-01, Vol.37 (1), p.175-188

2015

Volltextzugriff (PDF)

A deep fusion framework for unlabeled data-driven tumor recognition

Pattern recognition, 2021-11, Vol.119, p.108066, Article 108066

2021

Volltextzugriff (PDF)

Prototype Similarity Distillation for Communication-Efficient Federated Unsupervised Representation Learning

IEEE transactions on knowledge and data engineering, 2024-11, Vol.36 (11), p.1-13

2024

Volltextzugriff (PDF)

Partial multi-label learning via semi-supervised subspace collaboration

Knowledge-based systems, 2024-03, Vol.287, p.111444, Article 111444

2024

Volltextzugriff (PDF)

An adaptive semi-supervised self-learning method for online state of health estimation of lithium-ion batteries

Energy (Oxford), 2024-10, Vol.305, p.132213, Article 132213

2024

Volltextzugriff (PDF)

Unified subspace learning for incomplete and unlabeled multi-view data

Pattern recognition, 2017-07, Vol.67, p.313-327

2017

Volltextzugriff (PDF)

Representation learning with deep sparse auto-encoder for multi-task learning

Pattern recognition, 2022-09, Vol.129, p.108742, Article 108742

2022

Volltextzugriff (PDF)

Forest fire susceptibility assessment under small sample scenario: A semi-supervised learning approach using transductive support vector machine

Journal of environmental management, 2024-05, Vol.359, p.120966-120966, Article 120966

2024

Volltextzugriff (PDF)

Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data

Computerized medical imaging and graphics, 2017-04, Vol.57, p.4-9

2017

Volltextzugriff (PDF)

Deep Neural Backdoor in Semi-Supervised Learning: Threats and Countermeasures

IEEE transactions on information forensics and security, 2021, Vol.16, p.4827-4842

2021

Volltextzugriff (PDF)

Semi-supervised AUC optimization based on positive-unlabeled learning

Machine learning, 2018-04, Vol.107 (4), p.767-794

2018

Volltextzugriff (PDF)

Concept learning using one-class classifiers for implicit drift detection in evolving data streams

The Artificial intelligence review, 2021-06, Vol.54 (5), p.3725-3747

2021

Volltextzugriff (PDF)

Distributed least squares prediction for functional linear regression This work was partially supported by the National Natural Science Foundation of China (Grant No. 11871438)

Inverse problems, 2021-12, Vol.38 (2)

Tong, Hongzhi

2021

Volltextzugriff (PDF)

Kernelized Fuzzy-Rough Anomaly Detection

IEEE transactions on fuzzy systems, 2024-08, Vol.32 (8), p.4285-4296

2024

Volltextzugriff (PDF)

Fault Classification in High-Dimensional Complex Processes Using Semi-Supervised Deep Convolutional Generative Models

IEEE transactions on industrial informatics, 2020-04, Vol.16 (4), p.2868-2877

2020

Volltextzugriff (PDF)

Semi-Supervised Label Distribution Learning with Co-regularization

Neurocomputing (Amsterdam), 2022-06, Vol.491, p.353-364

2022

Volltextzugriff (PDF)

A semi-supervised deep learning approach for cropped image detection

Expert systems with applications, 2024-06, Vol.243, p.122832, Article 122832

2024

Volltextzugriff (PDF)

1 – 25 von 874

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(611)
Mit Volltextzugriff
(799)

Publikationsform

Sprache

Englisch
(873)
Deutsch
(1)
Japanisch
(1)

Erscheinungsjahr

n.n

Thema

Science & Technology
(633)
Technology
(598)
Unlabeled Data
(534)
Computer Science
(520)
Computer Science, Artificial Intelligence
(351)
Computer Science, Theory & Methods
(207)
Engineering
(192)
Computer Science, Information Systems
(176)
Machine Learning
(157)
Engineering, Electrical & Electronic
(149)
Artificial Intelligence
(137)
Training
(129)
Algorithms
(121)
Classification
(110)
Semi-Supervised Learning
(101)
Exact Sciences And Technology
(99)
Applied Sciences
(90)
Computer Science; Control Theory; Systems
(85)
Learning
(81)
Data Models
(80)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 30 Tagen
(3)
... seit 90 Tagen
(13)

Menü

Weitere Dienste

Einstellungen

Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study

Fault diagnosis of the hydraulic valve using a novel semi-supervised learning method based on multi-sensor information fusion

A novel semi-supervised data-driven method for chiller fault diagnosis with unlabeled data

Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data

A review of research on co‐training

A Data-Driven Soft Sensor Modeling Method Based on Deep Learning and its Application

Active Learning by Querying Informative and Representative Examples

Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data

Towards Making Unlabeled Data Never Hurt

A deep fusion framework for unlabeled data-driven tumor recognition

Prototype Similarity Distillation for Communication-Efficient Federated Unsupervised Representation Learning

Partial multi-label learning via semi-supervised subspace collaboration

An adaptive semi-supervised self-learning method for online state of health estimation of lithium-ion batteries

Unified subspace learning for incomplete and unlabeled multi-view data

Representation learning with deep sparse auto-encoder for multi-task learning

Forest fire susceptibility assessment under small sample scenario: A semi-supervised learning approach using transductive support vector machine

Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data

Deep Neural Backdoor in Semi-Supervised Learning: Threats and Countermeasures

Semi-supervised AUC optimization based on positive-unlabeled learning

Concept learning using one-class classifiers for implicit drift detection in evolving data streams

Distributed least squares prediction for functional linear regression This work was partially supported by the National Natural Science Foundation of China (Grant No. 11871438)

Kernelized Fuzzy-Rough Anomaly Detection

Fault Classification in High-Dimensional Complex Processes Using Semi-Supervised Deep Convolutional Generative Models

Semi-Supervised Label Distribution Learning with Co-regularization

A semi-supervised deep learning approach for cropped image detection

Suchergebnisse filtern