2023
- K. Georgiadis, F. Kalaganis, K.Riskos, E.Matta, V. Oikonomou, I.Yfantidou, D.Chantziaras, K.Pantouvakis, S.Nikolopoulos, N.Laskaris and I. Kompatsiaris, "NeuMa-the absolute Neuromarketing dataset en route to an holistic understanding of consumerbehaviour", Scientific Data, vol 10, article number: 508, 2023.
2022
- K. Georgiadis, F. Kalaganis, V. Oikonomou, S.Nikolopoulos, N.Laskaris and I. Kompatsiaris, "RNeuMark: A Riemannian EEG Analysis Framework for Neuromarketing", Brain Informatics; 2022, vol.9 (22), 2022.
- F. Kalaganis, N.Laskaris, V. Oikonomou, S.Nikolopoulos and I. Kompatsiaris, "Revisiting Riemannian geometry-based EEG decoding through approximate joint diagonalization", Journal of Neural Engineering, 19 066030, 2022.
2020
- F. Kalaganis and N.Laskaris, "A Riemannian geometry approach to reduced and discriminative covariance estimation in Brain Computer Interfaces", IEEE Transactions on Biomedical Engineering, 245-255, 2020.
- F. Kalaganis and N.Laskaris, "A Data Augmentation Scheme for Geometric Deep Learning in Personalized Brain–Computer Interfaces", IEEE Access, 162218-162229, 2020.
- F. Kalaganis and N.Laskaris, "A complex-valued functional brain connectivity descriptor amenable to Riemannian geometry", Journal of Neural Engineering, 2020.
2016
- F. Patrona, I. Mademlis, F. Kalaganis, I.Pitas and K.Lyroudia, "Stereoscopic Medical Data Video Quality Issues", Journal of Medical Imaging, pp. 025501 - 025501, 2016.
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