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Muhammad Saif-ur-Rehman

Ruhr West University of Applied Sciences
H-index:4
Citation Count:202
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Adaptive SpikeDeep-classifier: Self-organizing and self-supervised machine learning algorithm for online spike sorting

自适应SpikeDeep-classifier:一种用于在线尖峰排序的自组织和自监督机器学习算法

2025-09-040
OAAI
Streamlining Sensor Technology: Focusing on Data Fusion and Emotion Evaluation in the e-VITA Project
SENSORS
IF3.5
2025-04-010
OAAI
Understanding activation patterns in artificial neural networks by exploring stochastic processes: Discriminating generalization from memorization
2024-12-010
OAAI
ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data
2024-01-0117
OAAI
Deep transfer learning compared to subject-specific models for sEMG decoders
2022-10-2013
PRE
Enhancing the decoding accuracy of EEG signals by the introduction of anchored-STFT and adversarial data augmentation method
2022-03-1023
OAAI
Quantifying the alignment error and the effect of incomplete somatosensory feedback on motor performance in a virtual brain-computer-interface setup
2021-02-252
OAAI
SpikeDeep-classifier: a deep-learning based fully automatic offline spike sorting algorithm

SpikeDeep分类器: 一种基于深度学习的全自动离线尖峰排序算法

2020-11-0925
OA
SpikeDeeptector: a deep-learning based method for detection of neural spiking activity

Spikeeptector: 一种基于深度学习的神经尖峰活动检测方法

2019-07-2345
OAAI