This paper quantifies the quality of heatmap-based eXplainable AI method...
Transparency and fairness issues in Deep Reinforcement Learning may stem...
This paper proposes two bottom-up interpretable neural network (NN)
cons...
This brief paper reports the shortcoming of a variant of convolutional n...
Ongoing efforts to understand deep neural networks (DNN) have provided m...
One way to achieve eXplainable artificial intelligence (XAI) is through ...
The practical application of deep neural networks are still limited by t...
When artificial intelligence is used in the medical sector, interpretabi...
Recently, artificial intelligence, especially machine learning has
demon...