Author

Victoria Shevchenko

2 papers indexed here

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#artificial intelligence Sep 2026

Flattening the Connectome Spectrum: A Spectral Filter for FC Induces a Pretraining Target for fMRI Encoders.

It is shown that KRR is weighted by the eigenvalues of the FC which are miscalibrated for phenotype prediction, and an efficient spectral filter is applied to recalibrate the eigenvalues of each subject's FC matrix, enabling the model to exploit more inter-individual variance.

G. Marraffini, Victoria Shevchenko, Carlo Alberto Barbano et al. · arXiv.org · 0 citations

Jul 2026

CoCoT-EEG: Contrastive-Pretrained Multiscale Convolutional Transformer for EEG Decoding

A novel contrastive-pretrained EEG model with multiscale temporal convolution input layers and Transformer encoder blocks (CoCoT), demonstrating the viability of contrastive learning for building EEG FMs while suggesting key architectural design considerations, prompting further investigations in alternative large-scal...

Gabriel Mahuas, Victoria Shevchenko, Ugo Tanielian et al. · arXiv.org · 0 citations