| Hhhfl: Hierarchical heterogeneous horizontal federated learning for electroencephalography D Gao, C Ju, X Wei, Y Liu, T Chen, Q Yang arXiv preprint arXiv:1909.05784, 2019 | 116 | 2019 |
| A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain‐Machine Interaction JJ Bird, DR Faria, LJ Manso, A Ekárt, CD Buckingham Complexity 2019 (1), 4316548, 2019 | 91 | 2019 |
| Customer experience JC Alcaide, M Díez, C Almorza Alpha Editorial, 2019 | 83 | 2019 |
| Deep learning in EEG: Advance of the last ten-year critical period S Gong, K Xing, A Cichocki, J Li IEEE Transactions on Cognitive and Developmental Systems 14 (2), 348-365, 2021 | 82 | 2021 |
| Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX X Chen, X Teng, H Chen, Y Pan, P Geyer Biomedical Signal Processing and Control 87, 105475, 2024 | 34 | 2024 |
| Universal EEG encoder for learning diverse intelligent tasks BLK Jolly, P Aggrawal, SS Nath, V Gupta, MS Grover, RR Shah 2019 IEEE fifth international conference on multimedia big data (BigMM), 213-218, 2019 | 33 | 2019 |
| Object classification from randomized EEG trials H Ahmed, RB Wilbur, HM Bharadwaj, JM Siskind Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 28 | 2021 |
| EEG-based emotion classification for Alzheimer’s disease patients using conventional machine learning and recurrent neural network models J Seo, TH Laine, G Oh, KA Sohn Sensors 20 (24), 7212, 2020 | 23 | 2020 |
| Understanding brain dynamics for color perception using wearable eeg headband M Chaudhary, S Mukhopadhyay, M Litoiu, LE Sergio, MS Adams arXiv preprint arXiv:2008.07092, 2020 | 20 | 2020 |
| Deep learning methods in electroencephalography K Kotowski, K Stapor, J Ochab Machine Learning Paradigms: Advances in Deep Learning-based Technological …, 2020 | 16 | 2020 |
| Customer experience J Alcaide Casado, M Carlos Díez ESIC, 2019 | 14 | 2019 |
| Emotional behavior analysis based on EEG signal processing using Machine Learning: A case study S Klibi, M Mestiri, IR Farah 2021 International Congress of Advanced Technology and Engineering (ICOTEN), 1-7, 2021 | 13 | 2021 |
| EEG-based classification of imagined digits using a recurrent neural network NC Mahapatra, P Bhuyan Journal of Neural Engineering 20 (2), 026040, 2023 | 12 | 2023 |
| Visual brain decoding for short duration eeg signals R Mishra, K Sharma, A Bhavsar 2021 29th European Signal Processing Conference (EUSIPCO), 1226-1230, 2021 | 12 | 2021 |
| Flexible In–Ga–Zn–N–O synaptic transistors for ultralow-power neuromorphic computing and EEG-based brain–computer interfaces S Fan, E Wu, M Cao, T Xu, T Liu, L Yang, J Su, J Liu Materials Horizons 10 (10), 4317-4328, 2023 | 11 | 2023 |
| Quality analysis for reliable complex multiclass neuroscience signal classification via electroencephalography A Shankhdhar, PK Verma, P Agrawal, V Madaan, C Gupta International Journal of Quality & Reliability Management 39 (7), 1676-1703, 2022 | 9 | 2022 |
| EEG signals to digit classification using deep learning-based one-dimensional convolutional neural network S Tiwari, S Goel, A Bhardwaj Arabian Journal for Science and Engineering 48 (8), 9675-9691, 2023 | 8 | 2023 |
| Novel joint algorithm based on EEG in complex scenarios D Chen, W Yang, R Miao, L Huang, L Zhang, C Deng, N Han Computer Assisted Surgery 24 (sup2), 117-125, 2019 | 8 | 2019 |
| Salient arithmetic data extraction from brain activity via an improved deep network N Khaleghi, S Hashemi, SZ Ardabili, S Sheykhivand, S Danishvar Sensors 23 (23), 9351, 2023 | 7 | 2023 |
| Frequency band and PCA feature comparison for EEG signal classification IWP Pratama, MWA Kesiman, IGA Gunadi, RJA Kautsar, F Utaminingrum, ... Lontar Komputer: Jurnal Ilmiah Teknologi Informasi 12 (1), 1, 2021 | 7 | 2021 |
