Towards Understanding Human Functional Brain Development with Explainable Artificial Intelligence: Challenges and Perspectives

24 December 2021

Papers citing "Towards Understanding Human Functional Brain Development with Explainable Artificial Intelligence: Challenges and Perspectives"

4 / 4 papers shown

Title
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations Bin Wang Wenbin Pei Bing Xue Mengjie Zhang FAtt 111 3 0 28 Nov 2022
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG Garrett Honke I. Higgins Nina N. Thigpen V. Miskovic Katie Link Sunny Duan Pramod Gupta Julia Klawohn G. Hajcak 43 6 0 28 Oct 2020
White-box Induction From SVM Models: Explainable AI with Logic Programming Farhad Shakerin G. Gupta LRM 17 11 0 09 Aug 2020
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces Vernon J. Lawhern Amelia J. Solon Nicholas R. Waytowich Stephen M. Gordon C. Hung Brent Lance OOD 84 2,855 0 23 Nov 2016