Erico Tjoa

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Training Instances

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Artif. Intell.

Publications

Erico Tjoa, Cuntai Guan
Quantifying Explainability of Saliency Methods in Deep Neural Networks With a Synthetic Dataset. IEEE Trans. Artif. Intell. 4 (4) (2023)
Erico Tjoa, Hong Jing Khok, Tushar Chouhan, Cuntai Guan
Enhancing the confidence of deep learning classifiers via interpretable saliency maps. Neurocomputing 562 (2023)
Erico Tjoa, Hong Jing Khok, Tushar Chouhan, Cuntai Guan
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI. CoRR (2022)
Erico Tjoa, Cuntai Guan
Convolutional Neural Network Interpretability with General Pattern Theory. CoRR (2021)
Erico Tjoa, Cuntai Guan
Self Reward Design with Fine-grained Interpretability. CoRR (2021)
Erico Tjoa, Cuntai Guan
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI. IEEE Trans. Neural Networks Learn. Syst. 32 (11) (2021)
Erico Tjoa
A Modified Convolutional Network for Auto-encoding based on Pattern Theory Growth Function. CoRR (2021)
Erico Tjoa, Cuntai Guan
Two Instances of Interpretable Neural Network for Universal Approximations. CoRR (2021)
Erico Tjoa, Cuntai Guan
Quantifying Explainability of Saliency Methods in Deep Neural Networks. CoRR (2020)
Erico Tjoa, Cuntai Guan
Generalization on the Enhancement of Layerwise Relevance Interpretability of Deep Neural Network. CoRR (2020)
Erico Tjoa, Cuntai Guan
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI. CoRR (2019)
Erico Tjoa, Heng Guo, Yuhao Lu, Cuntai Guan
Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural Networks. CoRR (2019)