3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 3 cited
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI
Erico Tjoa, Hong Jing Khok, Tushar Chouhan +1
This paper quantifies the quality of heatmap-based eXplainable AI (XAI) methods w.r.t image classification problem. Here, a heatmap is considered desirable if it improves the proba…
cs.LG2021★ 1 cited
Self Reward Design with Fine-grained Interpretability
Erico Tjoa, Guan Cuntai
The black-box nature of deep neural networks (DNN) has brought to attention the issues of transparency and fairness. Deep Reinforcement Learning (Deep RL or DRL), which uses DNN to…
cs.LG2021★ 1 cited
Two Instances of Interpretable Neural Network for Universal Approximations
Erico Tjoa, Guan Cuntai
This paper proposes two bottom-up interpretable neural network (NN) constructions for universal approximation, namely Triangularly-constructed NN (TNN) and Semi-Quantized Activatio…