Muhammad Saif-ur-Rehman

发表

Universal Spike Classifier

Ioannis Iossifidis, Spencer Kellis, Tobias Glasmachers, 2018, 1811.02923.

ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces

T. Glasmachers, Christian Klaes, Muhammad Saif-ur-Rehman, 2022, ArXiv.

Deep transfer learning compared to subject-specific models for sEMG decoders

Muhammad Saif-ur-Rehman, Ioannis Iossifidis, S. Lehmler, 2022, Journal of neural engineering.

Invariance to Quantile Selection in Distributional Continuous Control

T. Glasmachers, Felix Grün, Muhammad Saif-ur-Rehman, 2022, ArXiv.

Quantifying the alignment error and the effect of incomplete somatosensory feedback on motor performance in a virtual brain–computer-interface setup

Christian Klaes, Muhammad Saif-ur-Rehman, Omair Ali, 2021, Scientific Reports.

SpikeDeeptector: a deep-learning based method for detection of neural spiking activity

Ioannis Iossifidis, Spencer Kellis, Charles Liu, 2019, Journal of neural engineering.

Enhancing the decoding accuracy of EEG signals by the introduction of anchored-STFT and adversarial data augmentation method

T. Glasmachers, Christian Klaes, Muhammad Saif-ur-Rehman, 2022, Scientific Reports.

Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation

T. Glasmachers, Christian Klaes, Muhammad Saif-ur-Rehman, 2020, ArXiv.

Anchored-STFT and GNAA: An extension of STFT in conjunction with an adversarial data augmentation technique for the decoding of neural signals

T. Glasmachers, Christian Klaes, Muhammad Saif-ur-Rehman, 2020, 2011.14694.

Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification pdf

Ioannis Iossifidis, Tobias Glasmachers, Muhammad Saif-ur-Rehman, 2021, ArXiv.

SpikeDeep-classifier: a deep-learning based fully automatic offline spike sorting algorithm

Ioannis Iossifidis, Spencer Kellis, Tobias Glasmachers, 2019, Journal of neural engineering.

Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes

T. Glasmachers, Muhammad Saif-ur-Rehman, Ioannis Iossifidis, 2023, ArXiv.

Comparison of Anomaly Detection between Statistical Method and Undercomplete Autoencoder

Muhammad Ayaz Hussain, Muhammad Saif-ur-Rehman, Christian Klaes, 2020, Proceedings of the 2020 5th International Conference on Big Data and Computing.

Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes

T. Glasmachers, Muhammad Saif-ur-Rehman, Ioannis Iossifidis, 2023, ArXiv.

ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data

T. Glasmachers, Christian Klaes, Muhammad Saif-ur-Rehman, 2023, Comput. Biol. Medicine.

GET: A Generative EEG Transformer for Continuous Context-Based Neural Signals

T. Glasmachers, Christian Klaes, Muhammad Saif-ur-Rehman, 2024, 2406.03115.

SpikeDeep-classifier: a deep-learning based fully automatic offline spike sorting algorithm

R. Andersen, T. Glasmachers, J. Wellmer, 2019, Journal of neural engineering.

Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation pdf

Ioannis Iossifidis, Tobias Glasmachers, Omair Ali, 2020, ArXiv.