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Evaluating the Visualization of What a Deep Neural Network Has Learned

IEEE transaction on neural networks and learning systems, 2017-11, Vol.28 (11), p.2660-2673

2017

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Geometrical Interpretation and Design of Multilayer Perceptrons

IEEE transaction on neural networks and learning systems, 2024-02, Vol.35 (2), p.2545-2559

2024

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Gaussian Process Regression With Interpretable Sample-Wise Feature Weights

IEEE transaction on neural networks and learning systems, 2023-09, Vol.34 (9), p.5789-5803

2023

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ConcVAE: Conceptual Representation Learning

IEEE transaction on neural networks and learning systems, 2024-07, Vol.PP, p.1-13

2024

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Inverse-Based Approach to Explaining and Visualizing Convolutional Neural Networks

IEEE transaction on neural networks and learning systems, 2022-12, Vol.33 (12), p.7318-7329

2022

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A Sequential Stein's Method for Faster Training of Additive Index Models

IEEE transaction on neural networks and learning systems, 2024-10, Vol.35 (10), p.1-10

2024

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Residual Temporal Convolutional Network With Dual Attention Mechanism for Multilead-Time Interpretable Runoff Forecasting

IEEE transaction on neural networks and learning systems, 2024-06, Vol.PP, p.1-15

2024

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EEG-Based Cross-Subject Driver Drowsiness Recognition With an Interpretable Convolutional Neural Network

IEEE transaction on neural networks and learning systems, 2023-10, Vol.34 (10), p.7921-7933

2023

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Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection

IEEE transaction on neural networks and learning systems, 2024-05, Vol.35 (5), p.6007-6020

2024

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New Insights Into Drug Repurposing for COVID-19 Using Deep Learning

IEEE transaction on neural networks and learning systems, 2021-11, Vol.32 (11), p.4770-4780

2021

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Functional Connectivity Prediction With Deep Learning for Graph Transformation

IEEE transaction on neural networks and learning systems, 2024-04, Vol.35 (4), p.4862-4875

2024

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Evaluating the Visualization of What a Deep Neural Network Has Learned

Geometrical Interpretation and Design of Multilayer Perceptrons

Gaussian Process Regression With Interpretable Sample-Wise Feature Weights

ConcVAE: Conceptual Representation Learning

Inverse-Based Approach to Explaining and Visualizing Convolutional Neural Networks

A Sequential Stein's Method for Faster Training of Additive Index Models

Residual Temporal Convolutional Network With Dual Attention Mechanism for Multilead-Time Interpretable Runoff Forecasting

EEG-Based Cross-Subject Driver Drowsiness Recognition With an Interpretable Convolutional Neural Network

Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection

New Insights Into Drug Repurposing for COVID-19 Using Deep Learning

Functional Connectivity Prediction With Deep Learning for Graph Transformation

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