| 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 | 506 | 2020 |
| Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset E Tjoa, G Cuntai arXiv preprint arXiv:2009.02899, 2020 | 16 | 2020 |
| Convolutional neural network interpretability with general pattern theory E Tjoa, G Cuntai arXiv preprint arXiv:2102.04247, 2021 | 3 | 2021 |
| 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 | 2 | 2019 |
| Two Instances of Interpretable Neural Network for Universal Approximations E Tjoa, G Cuntai arXiv preprint arXiv:2112.15026, 2021 | 1 | 2021 |
| 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 | 1 | 2021 |
| 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 |
