Muhammad Saif-ur-Rehman

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Activation Patterns

Human Machine Interfaces

Stochastic Process

Top Venues

Comput. Biol. Medicine

Publications

Omair Ali, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes
ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data. Comput. Biol. Medicine 168 (2024)
Muhammad Saif-ur-Rehman, Omair Ali, Christian Klaes, Ioannis Iossifidis
Adaptive SpikeDeep-Classifier: Self-organizing and self-supervised machine learning algorithm for online spike sorting. CoRR (2023)
Stephan Johann Lehmler, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes. CoRR (2023)
Omair Ali, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces. CoRR (2022)
Felix Grün, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis
Invariance to Quantile Selection in Distributional Continuous Control. CoRR (2022)
Stephan Johann Lehmler, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis
Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification. CoRR (2021)
Muhammad Ayaz Hussain, Muhammad Saif-ur-Rehman, Christian Klaes, Ioannis Iossifidis
Comparison of Anomaly Detection between Statistical Method and Undercomplete Autoencoder. ICBDC (2020)
Omair Ali, Muhammad Saif-ur-Rehman, Susanne Dyck, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes
Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation. CoRR (2020)