Artificial Intelligence & Information Analysis

2023

  1. S. Bakas, Y.Panagakis, D. Adamos, N.Laskaris and S.Zafeiriou, "BrainWave-Scattering Net: a lightweight network for EEG-based motor imagery recognition", Journal of Neural Engineering, 20 056014, 2023.
  2. 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 consumer behaviour", Scientific Data, vol 10, article number: 508, 2023.
  3. K. Barmpas, Y.Panagakis, S. Bakas, D. Adamos, N.Laskaris and S.Zafeiriou, "Improving Generalization of CNN-based Motor-Imagery EEG Decoders via Dynamic Convolutions", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.31, pp. 1997-2005, 2023.

2022

  1. 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.
  2. 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

  1. 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.
  2. F. Kalaganis and N.Laskaris, "A Data Augmentation Scheme for Geometric Deep Learning in Personalized Brain–Computer Interfaces", IEEE Access, 162218-162229, 2020.
  3. F. Kalaganis and N.Laskaris, "A complex-valued functional brain connectivity descriptor amenable to Riemannian geometry", Journal of Neural Engineering, 2020.

2019

  1. K. Georgiadis and N.Laskaris, "Connectivity steered graph Fourier transform for motor imagery BCI decoding", Journal of neural engineering., 2019.

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