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GMConv: Modulating Effective Receptive Fields for Convolutional Kernels

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-10

2024

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IEEE_Xplore

A Graph-Neural-Network-Powered Solver Framework for Graph Optimization Problems

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-15

2024

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IEEE_Xplore

Learning an Autonomous Dynamic System to Encode Periodic Human Motion Skills

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-7

2024

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IEEE_Xplore

Scalable and Effective Temporal Graph Representation Learning With Hyperbolic Geometry

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-15

2024

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IEEE_Xplore

An Improved Prioritized DDPG Based on Fractional-Order Learning Scheme

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-10

2024

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IEEE_Xplore

Category Alignment Mechanism for Few-Shot Image Classification

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-14

2024

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IEEE_Xplore

A Survey on Deep Active Learning: Recent Advances and New Frontiers

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-21

2024

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Efficient Deep Spiking Multilayer Perceptrons With Multiplication-Free Inference

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-13

2024

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IEEE_Xplore

An Interpretable Adaptive Multiscale Attention Deep Neural Network for Tabular Data

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-15

2024

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Towards exascale for wind energy simulations

The international journal of high performance computing applications, 2024-05

2024

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Robust Multiobjective Reinforcement Learning Considering Environmental Uncertainties

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-15

2024

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IEEE_Xplore

Robust Spherical Laplacian Embedding

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-12

2024

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IEEE_Xplore

Advancing Hyperspectral and Multispectral Image Fusion: An Information-Aware Transformer-Based Unfolding Network

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-15

2024

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IEEE_Xplore

Multimodal Fusion Network for 3-D Lane Detection

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-13

2024

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IEEE_Xplore

The Deep Promotion Time Cure Model

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-0

2024

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From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-14

2024

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IEEE_Xplore

Deep Geometric Learning With Monotonicity Constraints for Alzheimer's Disease Progression

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-13

2024

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IEEE_Xplore

Two-Time Scale Tracking Control of Flexible Robots With Primal-Dual Inverse Reinforcement Learning

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-12

2024

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IEEE_Xplore

A Cascaded Multimodule Image Enhancement Framework for Underwater Visual Perception

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-13

2024

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IEEE_Xplore

Eliminating Primacy Bias in Online Reinforcement Learning by Self-Distillation

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-13

2024

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IEEE_Xplore

Robust Incremental Broad Learning System for Data Streams of Uncertain Scale

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-14

2024

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IEEE_Xplore

A Fast Feedforward Small-World Neural Network for Nonlinear System Modeling

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-13

2024

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IEEE_Xplore

GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-15

2024

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Verfügbarkeit prüfen

TPDC: Point Cloud Completion by Triangular Pyramid Features and Divide-and-Conquer in Complex Environments

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-12

2024

Link zum Volltext
IEEE_Xplore

DyCR: A Dynamic Clustering and Recovering Network for Few-Shot Class-Incremental Learning

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-14

2024

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IEEE_Xplore

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GMConv: Modulating Effective Receptive Fields for Convolutional Kernels

A Graph-Neural-Network-Powered Solver Framework for Graph Optimization Problems

Learning an Autonomous Dynamic System to Encode Periodic Human Motion Skills

Scalable and Effective Temporal Graph Representation Learning With Hyperbolic Geometry

An Improved Prioritized DDPG Based on Fractional-Order Learning Scheme

Category Alignment Mechanism for Few-Shot Image Classification

A Survey on Deep Active Learning: Recent Advances and New Frontiers

Efficient Deep Spiking Multilayer Perceptrons With Multiplication-Free Inference

An Interpretable Adaptive Multiscale Attention Deep Neural Network for Tabular Data

Towards exascale for wind energy simulations

Robust Multiobjective Reinforcement Learning Considering Environmental Uncertainties

Robust Spherical Laplacian Embedding

Advancing Hyperspectral and Multispectral Image Fusion: An Information-Aware Transformer-Based Unfolding Network

Multimodal Fusion Network for 3-D Lane Detection

The Deep Promotion Time Cure Model

From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection

Deep Geometric Learning With Monotonicity Constraints for Alzheimer's Disease Progression

Two-Time Scale Tracking Control of Flexible Robots With Primal-Dual Inverse Reinforcement Learning

A Cascaded Multimodule Image Enhancement Framework for Underwater Visual Perception

Eliminating Primacy Bias in Online Reinforcement Learning by Self-Distillation

Robust Incremental Broad Learning System for Data Streams of Uncertain Scale

A Fast Feedforward Small-World Neural Network for Nonlinear System Modeling

GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting

TPDC: Point Cloud Completion by Triangular Pyramid Features and Divide-and-Conquer in Complex Environments

DyCR: A Dynamic Clustering and Recovering Network for Few-Shot Class-Incremental Learning

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