MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

7 February 2021

Papers citing "MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification"

7 / 7 papers shown

Title
NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification Chuhan Zhang Wei Pan Cosimo Della Santina 48 0 0 28 Jan 2025
Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings Di Wu Siyuan Li Chen Feng Lu Cao Yujie Zhang Jie Yang Mohamad Sawan 33 0 0 13 Oct 2024
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification Jie Jiao Meiyan Xu Qingqing Chen Hefang Zhou Wangliang Zhou 40 0 0 21 Sep 2023
NeuroAiR: Deep Learning Framework for Airwriting Recognition from Scalp-recorded Neural Signals Ayush Tripathi A. Gupta A. Prathosh Suriya Prakash Muthukrishnan Lalan Kumar 27 5 0 07 Aug 2023
Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training Georgios Zoumpourlis Ioannis Patras 27 9 0 21 Nov 2022
ANet: Autoencoder-Based Local Field Potential Feature Extractor for Evaluating An Antidepressant Effect in Mice after Administering Kratom Leaf Extracts Jakkrit Nukitram Rattanaphon Chaisaen Phairot Autthasan N. Sengnon J. Wungsintaweekul Wanumaidah Saengmolee Dania Cheaha E. Kumarnsit Thapanun Sudhawiyangkul Theerawit Wilaiprasitporn 21 3 0 17 Sep 2022
Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery Framework Mahbod Nouri Faraz Moradi Hafez Ghaemi A. Nasrabadi 22 10 0 25 Dec 2020