Erico Tjoa

12 papers Journal 12

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