| Transfer learning in brain-computer interfaces V Jayaram, M Alamgir, Y Altun, B Schölkopf, M Grosse-Wentrup IEEE Computational Intelligence Magazine 11 (1), 20-31, 2016 | 463 | 2016 |
| MOABB: trustworthy algorithm benchmarking for BCIs V Jayaram, A Barachant Journal of Neural Engineering 15 (6), 066011, 2018 | 196 | 2018 |
| Speech-specific tuning of neurons in human superior temporal gyrus AM Chan, AR Dykstra, V Jayaram, MK Leonard, KE Travis, B Gygi, ... Cerebral Cortex 24 (10), 2679-2693, 2014 | 165 | 2014 |
| 2021 BEETL competition: Advancing transfer learning for subject independence and heterogenous EEG data sets X Wei, AA Faisal, M Grosse-Wentrup, A Gramfort, S Chevallier, V Jayaram, ... NeurIPS 2021 Competitions and Demonstrations Track, 205-219, 2022 | 32 | 2022 |
| Exploring the relationship between EMG feature space characteristics and control performance in machine learning myoelectric control AW Franzke, MB Kristoffersen, V Jayaram, CK van der Sluis, A Murgia, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 21-30, 2020 | 20 | 2020 |
| Brain-computer interfacing in amyotrophic lateral sclerosis: Implications of a resting-state EEG analysis V Jayaram, N Widmann, C Förster, T Fomina, M Hohmann, ... 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 19 | 2015 |
| A cognitive brain–computer interface for patients with amyotrophic lateral sclerosis MR Hohmann, T Fomina, V Jayaram, N Widmann, C Förster, J Just, ... Progress in brain research 228, 221-239, 2016 | 18 | 2016 |
| Tangent space spatial filters for interpretable and efficient Riemannian classification J Xu, M Grosse-Wentrup, V Jayaram Journal of Neural Engineering 17 (2), 026043, 2020 | 17 | 2020 |
| Case series: slowing alpha rhythm in late-stage ALS patients MR Hohmann, T Fomina, V Jayaram, T Emde, J Just, M Synofzik, ... Clinical Neurophysiology 129 (2), 406-408, 2018 | 17 | 2018 |
| Multi-task logistic regression in brain-computer interfaces KH Fiebig, V Jayaram, J Peters, M Grosse-Wentrup 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 14 | 2016 |
| Armsym: A virtual human–robot interaction laboratory for assistive robotics S Bustamante, J Peters, B Schölkopf, M Grosse-Wentrup, V Jayaram IEEE Transactions on Human-Machine Systems 51 (6), 568-577, 2021 | 11 | 2021 |
| Task-induced frequency modulation features for brain-computer interfacing V Jayaram, M Hohmann, J Just, B Schölkopf, M Grosse-Wentrup Journal of Neural Engineering 14 (5), 056015, 2017 | 11 | 2017 |
| Transfer Learning for BCIs V Jayaram, KH Fiebig, J Peters, M Grosse-Wentrup Brain–Computer Interfaces Handbook: Technological and Theoretical Advances, 425, 2018 | 5 | 2018 |
| An improved cognitive brain-computer interface for patients with amyotrophic lateral sclerosis M Hohmann, T Fomina, V Jayaram, C Förster, J Just, M Synofzik, ... 6th International Brain-Computer Interface (BCI) Meeting, 44-44, 2016 | 5 | 2016 |
| Interpretable Riemannian classification in brain-computer interfacing J Xu, M Grosse-Wentrup, V Jayaram | 2 | 2019 |
| Feature extraction from the Hermitian manifold for Brain-Computer Interfaces J Xu, V Jayaram, B Schölkopf, M Grosse-Wentrup 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 965-968, 2019 | 2 | 2019 |
| A transfer learning approach for adaptive classification in P300 paradigms V Jayaram, M Grosse-Wentrup Proceedings of the Sixth International BCI Meeting, 2016 | 2 | 2016 |
| Frequency peak features for low-channel classification in motor imagery paradigms V Jayaram, B Schölkopf, M Grosse-Wentrup 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 321-324, 2017 | 1 | 2017 |
| A machine learning approach to taking EEG-based brain-computer interfaces out of the lab V Jayaram Universität Tübingen, 2018 | | 2018 |
| A machine learning approach to taking EEG-based computer interfaces out of the lab V Jayaram Eberhard Karls Universität Tübingen Tübingen, 2018 | | 2018 |