Dataset Groups Activity Stream A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification This paper presents DADLNet, a dynamic domain adaptation based deep learning network framework for decoding motor imagery tasks. BibTex: @dataset{Jie_Jiao_and_Meiyan_Xu_and_Qingqing_chen_and_Hefang_Zhou_and_Wangliang_Zhou_and_Second_B_Author_and_and_Third_C_Author_2024, abstract = {This paper presents DADLNet, a dynamic domain adaptation based deep learning network framework for decoding motor imagery tasks.}, author = {Jie Jiao and Meiyan Xu and Qingqing chen and Hefang Zhou and Wangliang Zhou and Second B. Author and and Third C. Author}, doi = {10.57702/ffupv2ft}, institution = {No Organization}, keyword = {'Deep learning', 'Dynamic domain adaptation', 'EEG-based motor imagery classification'}, month = {dec}, publisher = {TIB}, title = {A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification}, url = {https://service.tib.eu/ldmservice/dataset/a-dynamic-domain-adaptation-deep-learning-network-for-eeg-based-motor-imagery-classification}, year = {2024} }
