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Muhammad Saif-ur-Rehman

Observed names: Muhammad Saif-Ur-Rehman, Muhammad Saif-ur- Rehman, Saif-Ur-Rehman, Muhammad, Saif-ur-Rehman, Muhammad
Observed institutions: International Islamic University, Islamabad, University Hospitals of the Ruhr-University of Bochum, Universitätsklinikum Knappschaftskrankenhaus Bochum, Ruhr West University of Applied Sciences, Institute for Experimental Psychophysiology (Germany), Heinrich Heine University Düsseldorf, Ruhr University Bochum
ORCID: 0000-0003-1774-7330
Observed ORCID: 0000-0003-1774-7330
OpenAlex ID: A5089963670
ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data
2023 · Omair Ali, Muhammad Saif-ur-Rehman, et al. · Computers in Biology and Medicine · 76
SpikeDeeptector: a deep-learning based method for detection of neural spiking activity
2019 · Muhammad Saif-ur-Rehman, Robin Lienkämper, et al. · Journal of Neural Engineering · 67
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Enhancing the decoding accuracy of EEG signals by the introduction of anchored-STFT and adversarial data augmentation method
2022 · Omair Ali, Muhammad Saif-ur-Rehman, et al. · Scientific Reports · 49
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SpikeDeep-Classifier: A deep-learning based fully automatic offline spike sorting algorithm
2020 · Muhammad Saif-ur-Rehman, Omair Ali, et al. · Journal of Neural Engineering · 42
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Deep transfer learning compared to subject-specific models for sEMG decoders
2022 · Stephan Johann Lehmler, Muhammad Saif-ur-Rehman, et al. · Journal of Neural Engineering · 36
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Quantifying the alignment error and the effect of incomplete somatosensory feedback on motor performance in a virtual brain–computer-interface setup
2021 · Robin Lienkämper, Susanne Dyck, et al. · Scientific Reports · 6
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Adaptive SpikeDeep-classifier: Self-organizing and self-supervised machine learning algorithm for online spike sorting
2025 · Muhammad Saif-ur-Rehman, Omair Ali, et al. · Neurocomputing · 5
Understanding activation patterns in artificial neural networks by exploring stochastic processes: Discriminating generalization from memorization
2024 · Stephan Johann Lehmler, Muhammad Saif-ur-Rehman, et al. · Neurocomputing · 5
GET: A Generative EEG Transformer for Continuous Context-Based Neural Signals
2024 · Ali, Omair, Saif-ur-Rehman, Muhammad, et al. · arXiv (Cornell University) · 4
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Comparison of Anomaly Detection between Statistical Method and Undercomplete Autoencoder
2020 · Muhammad Ayaz Hussain, Muhammad Saif-ur-Rehman, et al. · International Conference on Big Data and Computing (ICBDC) · 3
Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation.
2020 · Omair Ali, Muhammad Saif-ur-Rehman, et al. · arXiv (Cornell University) · 2
Invariance to Quantile Selection in Distributional Continuous Control
2026 · Felix Grün, Muhammad Saif-ur-Rehman, et al. · Lecture notes in computer science
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Distributional Properties of ReLU-Activations in Artificial Neural Networks that Learn by Memorization
2026 · Stephan Johann Lehmler, Muhammad Saif-ur-Rehman, et al. · Lecture notes in computer science
Streamlining Sensor Technology: Focusing on Data Fusion and Emotion Evaluation in the e-VITA Project
2025 · Michael McTear, Kristiina Jokinen, et al. · Sensors
The Impact of Emigrants, Trade Costs, and Trade Agreements on Exports of Pakistan
2023 · Muhammad Saif-ur- Rehman, Gulzar Khan, et al. · Forman Journal of Social Sciences
Works count: 21
Citation count: 295
H-index: 6
I10-index: 5
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