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 | 1557 | 2020 |
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset E Tjoa, G Cuntai IEEE Transactions on Artificial Intelligence, 2022 | 39 | 2022 |
Enhancing the confidence of deep learning classifiers via interpretable saliency maps E Tjoa, HJ Khok, T Chouhan, C Guan Neurocomputing 562, 126825, 2023 | 10* | 2023 |
Convolutional neural network interpretability with general pattern theory E Tjoa, G Cuntai arXiv preprint arXiv:2102.04247, 2021 | 5 | 2021 |
Two instances of interpretable neural network for universal approximations E Tjoa, G Cuntai arXiv preprint arXiv:2112.15026, 2021 | 2 | 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 |
Self reward design with fine-grained interpretability E Tjoa, C Guan Scientific Reports 13 (1), 1638, 2023 | 1 | 2023 |
Comprehensive Overview of the Anesthesiology Research Landscape: A Machine Learning Analysis of 737 Nih-Funded Anesthesiology Primary Investigator's Publication Trends M Ghanem, C Espinosa, P Chung, M Reincke, N Harrison, ... | | 2024 |
Endorsed Attributions: eXplainable AI (XAI) with Voting Mechanism with Application in Healthcare E Tjoa, F Xie, CH Shu, L Xue, N Aghaeepour, C Guan Authorea Preprints, 2023 | | 2023 |
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 |
From medical imaging to explainable artificial intelligence E Tjoa Nanyang Technological University, 2022 | | 2022 |
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 |
Nonlinear topological mechanics E Tjoa | | 2018 |