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ORCIDErico Tjoa
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2020 – today
- 2023
[j3]Erico Tjoa
, Hong Jing Khok, Tushar Chouhan, Cuntai Guan:
Enhancing the confidence of deep learning classifiers via interpretable saliency maps. Neurocomputing 562: 126825 (2023)- [j2]Erico Tjoa, Cuntai Guan:
Quantifying Explainability of Saliency Methods in Deep Neural Networks With a Synthetic Dataset. IEEE Trans. Artif. Intell. 4(4): 858-870 (2023) - 2022
- [i9]Erico Tjoa, Hong Jing Khok, Tushar Chouhan, Cuntai Guan:
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI. CoRR abs/2201.00009 (2022) - 2021
- [j1]Erico Tjoa, Cuntai Guan:
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4793-4813 (2021) - [i8]Erico Tjoa, Cuntai Guan:
Convolutional Neural Network Interpretability with General Pattern Theory. CoRR abs/2102.04247 (2021) - [i7]Erico Tjoa:
A Modified Convolutional Network for Auto-encoding based on Pattern Theory Growth Function. CoRR abs/2104.02651 (2021) - [i6]Erico Tjoa, Cuntai Guan:
Two Instances of Interpretable Neural Network for Universal Approximations. CoRR abs/2112.15026 (2021) - [i5]Erico Tjoa, Cuntai Guan:
Self Reward Design with Fine-grained Interpretability. CoRR abs/2112.15034 (2021) - 2020
- [i4]Erico Tjoa, Cuntai Guan:
Generalization on the Enhancement of Layerwise Relevance Interpretability of Deep Neural Network. CoRR abs/2009.02516 (2020) - [i3]Erico Tjoa, Cuntai Guan:
Quantifying Explainability of Saliency Methods in Deep Neural Networks. CoRR abs/2009.02899 (2020)
2010 – 2019
- 2019
- [i2]Erico Tjoa, Cuntai Guan:
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI. CoRR abs/1907.07374 (2019) - [i1]Erico Tjoa, Heng Guo, Yuhao Lu, Cuntai Guan:
Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural Networks. CoRR abs/1911.08136 (2019)
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