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...

Teacher-Student Curriculum Learning

IEEE transaction on neural networks and learning systems, 2020-09, Vol.31 (9), p.3732-3740

2020

Volltextzugriff (PDF)

Deep Reinforcement Learning for Autonomous Driving: A Survey

IEEE transactions on intelligent transportation systems, 2022-06, Vol.23 (6), p.4909-4926

2022

Volltextzugriff (PDF)

Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing

2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2022, p.1-9

2022

Volltextzugriff (PDF)

Meta-Learning in Neural Networks: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2022-09, Vol.44 (9), p.5149-5169

2022

Volltextzugriff (PDF)

The Emerging Trends of Multi-Label Learning

IEEE transactions on pattern analysis and machine intelligence, 2022-11, Vol.44 (11), p.7955-7974

2022

Volltextzugriff (PDF)

Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Medical image analysis, 2019-05, Vol.54, p.280-296

2019

Volltextzugriff (PDF)

SynergicLearning: neural network-based feature extraction for highly-accurate hyperdimensional learning

2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2020, p.1-9

2020

Volltextzugriff (PDF)

A Blended Learning Approach to Course Design and Implementation

IEEE transactions on education, 2009-02, Vol.52 (1), p.19-30

2009

Volltextzugriff (PDF)

Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2021-11, Vol.43 (11), p.4037-4058

2021

Volltextzugriff (PDF)

Deep Reinforcement Learning for Sequence-to-Sequence Models

IEEE transaction on neural networks and learning systems, 2020-07, Vol.31 (7), p.2469-2489

2020

Volltextzugriff (PDF)

A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning

Proceedings of the IEEE, 2021-03, Vol.109 (3), p.204-246

2021

Volltextzugriff (PDF)

System Design for Epidemics Using Machine Learning and Deep Learning

1, 2023

Volltextzugriff (PDF)

BS3LNet: A New Blind-Spot Self-Supervised Learning Network for Hyperspectral Anomaly Detection

IEEE transactions on geoscience and remote sensing, 2023, Vol.61, p.1-18

2023

Volltextzugriff (PDF)

Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine

IEEE transaction on neural networks and learning systems, 2019-04, Vol.30 (4), p.1088-1103

2019

Volltextzugriff (PDF)

Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing

IEEE journal of selected topics in signal processing, 2023-01, Vol.17 (1), p.9-39

2023

Volltextzugriff (PDF)

WaferHSL: Wafer Failure Pattern Classification with Efficient Human-Like Staged Learning

2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2022, p.1-8

2022

Volltextzugriff (PDF)

Towards Safe Weakly Supervised Learning

IEEE transactions on pattern analysis and machine intelligence, 2021-01, Vol.43 (1), p.334-346

2021

Volltextzugriff (PDF)

Zero-Shot Learning-A Comprehensive Evaluation of the Good, the Bad and the Ugly

IEEE transactions on pattern analysis and machine intelligence, 2019-09, Vol.41 (9), p.2251-2265

2019

Volltextzugriff (PDF)

Cost-Effective Active Learning for Deep Image Classification

IEEE transactions on circuits and systems for video technology, 2017-12, Vol.27 (12), p.2591-2600

2017

Volltextzugriff (PDF)

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

IEEE transaction on neural networks and learning systems, 2021-11, Vol.32 (11), p.4793-4813

2021

Volltextzugriff (PDF)

Graph-Based Semi-Supervised Learning: A Comprehensive Review

IEEE transaction on neural networks and learning systems, 2023-11, Vol.34 (11), p.8174-8194

2023

Volltextzugriff (PDF)

The effectiveness of problem-based learning in technical and vocational education in Malaysia

Education & training (London), 2019-07, Vol.61 (5), p.552-567

2019

Volltextzugriff (PDF)

Recent advances and clinical applications of deep learning in medical image analysis

Medical image analysis, 2022-07, Vol.79, p.102444-102444, Article 102444

2022

Volltextzugriff (PDF)

Class-Incremental Learning: Survey and Performance Evaluation on Image Classification

IEEE transactions on pattern analysis and machine intelligence, 2023-05, Vol.45 (5), p.5513-5533

2023

Volltextzugriff (PDF)

Few-shot Hyperspectral Image Classification with Self-supervised Learning

IEEE transactions on geoscience and remote sensing, 2023-01, Vol.61, p.1-1

2023

Volltextzugriff (PDF)

1 – 25 von 206.743

Menü

Weitere Dienste

Einstellungen

Teacher-Student Curriculum Learning

Deep Reinforcement Learning for Autonomous Driving: A Survey

Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing

Meta-Learning in Neural Networks: A Survey

The Emerging Trends of Multi-Label Learning

Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

SynergicLearning: neural network-based feature extraction for highly-accurate hyperdimensional learning

A Blended Learning Approach to Course Design and Implementation

Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey

Deep Reinforcement Learning for Sequence-to-Sequence Models

A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning

System Design for Epidemics Using Machine Learning and Deep Learning

BS3LNet: A New Blind-Spot Self-Supervised Learning Network for Hyperspectral Anomaly Detection

Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine

Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing

WaferHSL: Wafer Failure Pattern Classification with Efficient Human-Like Staged Learning

Towards Safe Weakly Supervised Learning

Zero-Shot Learning-A Comprehensive Evaluation of the Good, the Bad and the Ugly

Cost-Effective Active Learning for Deep Image Classification

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

Graph-Based Semi-Supervised Learning: A Comprehensive Review

The effectiveness of problem-based learning in technical and vocational education in Malaysia

Recent advances and clinical applications of deep learning in medical image analysis

Class-Incremental Learning: Survey and Performance Evaluation on Image Classification

Few-shot Hyperspectral Image Classification with Self-supervised Learning

Aktive Filter

Suchergebnisse filtern