Martyna Poziomska

Martyna Poziomska
University of Warsaw | UW · Institute of Experimental Physics

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Introduction
Skills and Expertise
Artificial Intelligence

Publications

Publication (1)
Figure 4. The gated multi-layer perceptron gMLP network architecture....
The list of the basic transformations used in contrastive training.
ACC and MCC obtained in 3-fold CV and 5 random initializations training...
Decoding working memory-related information from repeated psychophysiological EEG experiments using convolutional and contrastive neural networks
Article
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  • Aug 2022
Objective: Extracting reliable information from EEG signals is difficult because the low signal-to-noise ratio and significant intersubject variability seriously hinder statistical analyses. However, recent advances in explainable machine learning open a new strategy to address this problem. Approach: The current study evaluates this approach us...
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