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Erico Tjoa
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Year
A survey on explainable artificial intelligence (xai): Toward medical xai
E Tjoa, C Guan
IEEE transactions on neural networks and learning systems 32 (11), 4793-4813, 2020
5062020
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset
E Tjoa, G Cuntai
arXiv preprint arXiv:2009.02899, 2020
162020
Convolutional neural network interpretability with general pattern theory
E Tjoa, G Cuntai
arXiv preprint arXiv:2102.04247, 2021
32021
Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural Networks
E Tjoa, G Heng, L Yuhao, C Guan
arXiv preprint arXiv:1911.08136, 2019
22019
Two Instances of Interpretable Neural Network for Universal Approximations
E Tjoa, G Cuntai
arXiv preprint arXiv:2112.15026, 2021
12021
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI
E Tjoa, HJ Khok, T Chouhan, G Cuntai
arXiv preprint arXiv:2201.00009, 2021
12021
Evaluating Weakly Supervised Object Localization Methods Right? A Study on Heatmap-based XAI and Neural Backed Decision Tree
E Tjoa, G Cuntai
researchgate.net, 2022
2022
kaBEDONN: posthoc eXplainable Artificial Intelligence with Data Ordered Neural Network
E Tjoa, G Cuntai
researchgate.net, 2022
2022
Self Reward Design with Fine-grained Interpretability
E Tjoa, G Cuntai
arXiv preprint arXiv:2112.15034, 2021
2021
A Modified Convolutional Network for Auto-encoding based on Pattern Theory Growth Function
E Tjoa
arXiv preprint arXiv:2104.02651, 2021
2021
Generalization on the Enhancement of Layerwise Relevance Interpretability of Deep Neural Network
E Tjoa, C Guan
arXiv preprint arXiv:2009.02516, 2020
2020
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Articles 1–11