95 citations · 286 across the 11 of their papers we have counts for
5 papers · 1 filter
Generalization on the Enhancement of Layerwise Relevance Interpretability of Deep Neural Network
Erico Tjoa, Guan Cuntai
The practical application of deep neural networks are still limited by their lack of transparency. One of the efforts to provide explanation for decisions made by artificial intell…
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset
Erico Tjoa, Cuntai Guan
Post-hoc analysis is a popular category in eXplainable artificial intelligence (XAI) study. In particular, methods that generate heatmaps have been used to explain the deep neural…
TSception: A Deep Learning Framework for Emotion Detection Using EEG
Yi Ding, Neethu Robinson, Qiuhao Zeng +4
In this paper, we propose a deep learning framework, TSception, for emotion detection from electroencephalogram (EEG). TSception consists of temporal and spatial convolutional laye…
Federated Transfer Learning for EEG Signal Classification
Ce Ju, Dashan Gao, Ravikiran Mane +3
The success of deep learning (DL) methods in the Brain-Computer Interfaces (BCI) field for classification of electroencephalographic (EEG) recordings has been restricted by the lac…
Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls
Mengjiao Hu, Kang Sim, Juan Helen Zhou +2
Convolutional Neural Network (CNN) has been successfully applied on classification of both natural images and medical images but not yet been applied to differentiating patients wi…