Erico Tjoa | DeepAI

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Cuntai Guan
35 publications
Guan Cuntai
5 publications
Hong Jing Khok
1 publication
Tushar Chouhan
1 publication
Guo Heng
1 publication
Lu Yuhao
1 publication

∙ 12/30/2021

Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI

This paper quantifies the quality of heatmap-based eXplainable AI method...

0 Erico Tjoa, et al. ∙

∙ 12/30/2021

Self Reward Design with Fine-grained Interpretability

Transparency and fairness issues in Deep Reinforcement Learning may stem...

0 Erico Tjoa, et al. ∙

∙ 12/30/2021

Two Instances of Interpretable Neural Network for Universal Approximations

This paper proposes two bottom-up interpretable neural network (NN) cons...

0 Erico Tjoa, et al. ∙

∙ 04/04/2021

A Modified Convolutional Network for Auto-encoding based on Pattern Theory Growth Function

This brief paper reports the shortcoming of a variant of convolutional n...

0 Erico Tjoa, et al. ∙

∙ 02/05/2021

Convolutional Neural Network Interpretability with General Pattern Theory

Ongoing efforts to understand deep neural networks (DNN) have provided m...

6 Erico Tjoa, et al. ∙

∙ 09/07/2020

Quantifying Explainability of Saliency Methods in Deep Neural Networks

One way to achieve eXplainable artificial intelligence (XAI) is through ...

19 Erico Tjoa, et al. ∙

∙ 09/05/2020

Generalization on the Enhancement of Layerwise Relevance Interpretability of Deep Neural Network

The practical application of deep neural networks are still limited by t...

0 Erico Tjoa, et al. ∙

∙ 11/19/2019

Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural Networks

When artificial intelligence is used in the medical sector, interpretabi...

0 Erico Tjoa, et al. ∙

∙ 07/17/2019

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

Recently, artificial intelligence, especially machine learning has demon...

37 Erico Tjoa, et al. ∙

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