EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks. - Dalin Zhang 001; Lina Yao 001; Xiang Zhang 012; Sen Wang 001; Weitong Chen 001; Robert Boots (CoRR, 2017)

Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. - Dalin Zhang 001; Lina Yao 001; Xiang Zhang 012; Sen Wang 001; Weitong Chen 001; Robert Boots; Boualem Benatallah (AAAI, 2018)

Learning Fine-Grained Patient Similarity with Dynamic Bayesian Network Embedded RNNs. - Yanda Wang; Weitong Chen 001; Bohan Li 001; Robert Boots (DASFAA (1), 2019)

Graph augmented triplet architecture for fine-grained patient similarity. - Yanda Wang; Weitong Chen 001; Dechang Pi; Robert Boots (World Wide Web, 2020)

Exploring BCI Control in Smart Environments: Intention Recognition Via EEG Representation Enhancement Learning. - Lin Yue; Hao Shen; Sen Wang 001; Robert Boots; Guodong Long; Weitong Chen 001; Xiaowei Zhao 004 (ACM Trans. Knowl. Discov. Data, 2021)

Death Comes But Why: An Interpretable Illness Severity Predictions in ICU. - Shaofei Shen 001; Miao Xu 001; Lin Yue; Robert Boots; Weitong Chen 001 (APWeb/WAIM (1), 2022)

Artificial Intelligence in Evidence-based Medicine: Challenges and Opportunities. - Xue Li 001; Catherine Zou; Robert Boots; Sen Wang 001; Weitong Chen 001; Guido Zuccon (World Sci. Annu. Rev. Artif. Intell., 2023)