Erico Tjoa

According to our database, Erico Tjoa authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Enhancing the confidence of deep learning classifiers via interpretable saliency maps.

Erico Tjoa, Hong Jing Khok, Tushar Chouhan, Cuntai Guan

Neurocomputing, December, 2023

Quantifying Explainability of Saliency Methods in Deep Neural Networks With a Synthetic Dataset.

Erico Tjoa, Cuntai Guan

IEEE Trans. Artif. Intell., 2023

2022

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

Erico Tjoa, Hong Jing Khok, Tushar Chouhan, Cuntai Guan

CoRR, 2022

2021

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

Erico Tjoa, Cuntai Guan

IEEE Trans. Neural Networks Learn. Syst., 2021

Self Reward Design with Fine-grained Interpretability.

Erico Tjoa, Cuntai Guan

CoRR, 2021

Two Instances of Interpretable Neural Network for Universal Approximations.

Erico Tjoa, Cuntai Guan

CoRR, 2021

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

Erico Tjoa

CoRR, 2021

Convolutional Neural Network Interpretability with General Pattern Theory.

Erico Tjoa, Cuntai Guan

CoRR, 2021

2020

Quantifying Explainability of Saliency Methods in Deep Neural Networks.

Erico Tjoa, Cuntai Guan

CoRR, 2020

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

Erico Tjoa, Cuntai Guan

CoRR, 2020

2019

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

Erico Tjoa, Heng Guo, Yuhao Lu, Cuntai Guan

CoRR, 2019

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

Erico Tjoa, Cuntai Guan

CoRR, 2019