Muhammad Saif-ur-Rehman
According to our database1,
Muhammad Saif-ur-Rehman
authored at least 10 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data.
Comput. Biol. Medicine, January, 2024
Understanding activation patterns in artificial neural networks by exploring stochastic processes: Discriminating generalization from memorization.
Neurocomputing, 2024
2023
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes.
CoRR, 2023
Adaptive SpikeDeep-Classifier: Self-organizing and self-supervised machine learning algorithm for online spike sorting.
CoRR, 2023
2022
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces.
CoRR, 2022
2021
Implications of machine learning algorithms in brain-computer interface (BCI) applications.
PhD thesis, 2021
Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification.
CoRR, 2021
2020
Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation.
CoRR, 2020
Comparison of Anomaly Detection between Statistical Method and Undercomplete Autoencoder.
Proceedings of the ICBDC 2020: 5th International Conference on Big Data and Computing, 2020