UB Paderborn / Katalog / Suche / in CDI

ACFNet: Attentional Class Feature Network for Semantic Segmentation

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.6797-6806

2019

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Classification in the Presence of Label Noise: A Survey

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

2014

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Stability and Stabilization in Probability of Probabilistic Boolean Networks

IEEE transaction on neural networks and learning systems, 2021-01, Vol.32 (1), p.241-251

2021

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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1553-1565

2014

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Feature Learning for Image Classification Via Multiobjective Genetic Programming

IEEE transaction on neural networks and learning systems, 2014-07, Vol.25 (7), p.1359-1371

2014

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Study on the Impact of Partition-Induced Dataset Shift on k-Fold Cross-Validation

IEEE transaction on neural networks and learning systems, 2012-08, Vol.23 (8), p.1304-1312

2012

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GLaLT: Global-Local Attention-Augmented Light Transformer for Scene Text Recognition

IEEE transaction on neural networks and learning systems, 2024-07, Vol.35 (7), p.10145-10158

2024

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A New Powered Lower Limb Prosthesis Control Framework Based on Adaptive Dynamic Programming

IEEE transaction on neural networks and learning systems, 2017-09, Vol.28 (9), p.2215-2220

2017

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Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories

IEEE transaction on neural networks and learning systems, 2023-04, Vol.34 (4), p.1720-1731

2023

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Sparseness Analysis in the Pretraining of Deep Neural Networks

IEEE transaction on neural networks and learning systems, 2017-06, Vol.28 (6), p.1425-1438

2017

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Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM

IEEE transaction on neural networks and learning systems, 2018-10, Vol.29 (10), p.4694-4708

2018

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COMPOSE: A Semisupervised Learning Framework for Initially Labeled Nonstationary Streaming Data

IEEE transaction on neural networks and learning systems, 2014-01, Vol.25 (1), p.12-26

2014

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Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach

IEEE transaction on neural networks and learning systems, 2012-03, Vol.23 (3), p.504-518

2012

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Neuromorphic System Using Memcapacitors and Autonomous Local Learning

IEEE transaction on neural networks and learning systems, 2023-05, Vol.34 (5), p.2366-2373

2023

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Sparse Bayesian Extreme Learning Machine for Multi-classification

IEEE transaction on neural networks and learning systems, 2014-04, Vol.25 (4), p.836-843

2014

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Bisection Neural Network Toward Reconfigurable Hardware Implementation

IEEE transaction on neural networks and learning systems, 2024-03, Vol.35 (3), p.1-11

2024

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Fast-Converging Simulated Annealing for Ising Models Based on Integral Stochastic Computing

IEEE transaction on neural networks and learning systems, 2023-12, Vol.34 (12), p.10999-11005

2023

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A Study on Truncated Newton Methods for Linear Classification

IEEE transaction on neural networks and learning systems, 2022-07, Vol.PP (7), p.1-14

2022

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Synchronization of Arbitrarily Switched Boolean Networks

IEEE transaction on neural networks and learning systems, 2017-03, Vol.28 (3), p.612-619

2017

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Improving Neural-Network Classifiers Using Nearest Neighbor Partitioning

IEEE transaction on neural networks and learning systems, 2017-10, Vol.28 (10), p.2255-2267

2017

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An Annealing Mechanism for Adversarial Training Acceleration

IEEE transaction on neural networks and learning systems, 2023-02, Vol.34 (2), p.882-893

2023

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Multiclass From Binary: Expanding One-Versus-All, One-Versus-One and ECOC-Based Approaches

IEEE transaction on neural networks and learning systems, 2014-02, Vol.25 (2), p.289-302

2014

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Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence

IEEE transaction on neural networks and learning systems, 2012-04, Vol.23 (4), p.541-551

2012

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Deep Learning and Symbolic Regression for Discovering Parametric Equations

IEEE transaction on neural networks and learning systems, 2023-09, Vol.PP, p.1-13

2023

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Gaussian Classifier-Based Evolutionary Strategy for Multimodal Optimization

IEEE transaction on neural networks and learning systems, 2014-06, Vol.25 (6), p.1200-1216

2014

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ACFNet: Attentional Class Feature Network for Semantic Segmentation

Classification in the Presence of Label Noise: A Survey

Stability and Stabilization in Probability of Probabilistic Boolean Networks

On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Feature Learning for Image Classification Via Multiobjective Genetic Programming

Study on the Impact of Partition-Induced Dataset Shift on k-Fold Cross-Validation

GLaLT: Global-Local Attention-Augmented Light Transformer for Scene Text Recognition

A New Powered Lower Limb Prosthesis Control Framework Based on Adaptive Dynamic Programming

Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories

Sparseness Analysis in the Pretraining of Deep Neural Networks

Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM

COMPOSE: A Semisupervised Learning Framework for Initially Labeled Nonstationary Streaming Data

Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach

Neuromorphic System Using Memcapacitors and Autonomous Local Learning

Sparse Bayesian Extreme Learning Machine for Multi-classification

Bisection Neural Network Toward Reconfigurable Hardware Implementation

Fast-Converging Simulated Annealing for Ising Models Based on Integral Stochastic Computing

A Study on Truncated Newton Methods for Linear Classification

Synchronization of Arbitrarily Switched Boolean Networks

Improving Neural-Network Classifiers Using Nearest Neighbor Partitioning

An Annealing Mechanism for Adversarial Training Acceleration

Multiclass From Binary: Expanding One-Versus-All, One-Versus-One and ECOC-Based Approaches

Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence

Deep Learning and Symbolic Regression for Discovering Parametric Equations

Gaussian Classifier-Based Evolutionary Strategy for Multimodal Optimization

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