| SpikeDeeptector: a deep-learning based method for detection of neural spiking activity M Saif-ur-Rehman, R Lienkämper, Y Parpaley, J Wellmer, C Liu, B Lee, ... Journal of neural engineering 16 (5), 056003, 2019 | 48 | 2019 |
| SpikeDeep-classifier: a deep-learning based fully automatic offline spike sorting algorithm M Saif-ur-Rehman, O Ali, S Dyck, R Lienkämper, M Metzler, Y Parpaley, ... Journal of Neural Engineering 18 (1), 016009, 2021 | 31 | 2021 |
| Enhancing the decoding accuracy of EEG signals by the introduction of anchored-STFT and adversarial data augmentation method O Ali, M Saif-ur-Rehman, S Dyck, T Glasmachers, I Iossifidis, C Klaes Scientific reports 12 (1), 1-19, 2022 | 21* | 2022 |
| Deep transfer learning compared to subject-specific models for sEMG decoders SJ Lehmler, M Saif-ur-Rehman, G Tobias, I Iossifidis Journal of Neural Engineering 19 (5), 056039, 2022 | 16* | 2022 |
| ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data O Ali, M Saif-ur-Rehman, T Glasmachers, I Iossifidis, C Klaes Computers in Biology and Medicine 168, 107649, 2024 | 9* | 2024 |
| Quantifying the alignment error and the effect of incomplete somatosensory feedback on motor performance in a virtual brain–computer-interface setup R Lienkämper, S Dyck, M Saif-ur-Rehman, M Metzler, O Ali, C Klaes Scientific reports 11 (1), 4614, 2021 | 3 | 2021 |
| Comparison of Anomaly Detection between Statistical Method and Undercomplete Autoencoder MA Hussain, M Saif-ur-Rehman, C Klaes, I Iossifidis Proceedings of the 5th International Conference on Big Data and Computing, 32-38, 2020 | 2 | 2020 |
| Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes SJ Lehmler, M Saif-ur-Rehman, T Glasmachers, I Iossifidis arXiv preprint arXiv:2308.00858, 2023 | | 2023 |
| Adaptive SpikeDeep-Classifier: Self-organizing and self-supervised machine learning algorithm for online spike sorting M Saif-ur-Rehman, O Ali, C Klaes, I Iossifidis arXiv preprint arXiv:2304.01355, 2023 | | 2023 |
| Invariance to Quantile Selection in Distributional Continuous Control F Grün, M Saif-ur-Rehman, T Glasmachers, I Iossifidis arXiv preprint arXiv:2212.14262, 2022 | | 2022 |
| Implications of machine learning algorithms in brain-computer interface (BCI) applications M Saif-Ur-Rehman | | 2021 |
Ioannis IossifidisProfessor, Ruhr West University of Applied SciencesVerified email at hs-ruhrwest.de
