Ta strona wykorzystuje ciasteczka ("cookies") w celu zapewnienia maksymalnej wygody w korzystaniu z naszego serwisu. Czy wyrażasz na to zgodę?

Czytaj więcej

Publikacje

  • Grzesiuk M, Gryglewicz E, Bentkowski P, Pijanowska J. (2022) Impact of fluoxetine on herbivorous zooplankton and planktivorous fish, Environ Toxicol Chem doi: 10.1002/etc.5525
  • Żygierewicz J, Janik RA, Podolak IT … and Rogala J (2022). Decoding working memory-related information from repeated psychophysiological EEG experiments using convolutional and contrastive neural networks. Journal of Neural Engineering  19 046053.
    IF=5.347, Min=140
  • Rogala, J., Dreszer, J., Malinowska, U., Waligóra, M., Pluta, A., Antonova, I. & Wróbel, A. (2021). Stronger connectivity and higher extraversion protect against stress-related deterioration of cognitive functions. Sci Rep 11, 17452 (2021). doi.org/10.1038/s41598-021-96718-5
  • Andersen, J. V., & Nowak, A. (2022). Symmetry and financial markets. Europhysics Letters, 139(2), 22001.
  • Chorowski, M., Nowak, A., & Andersen, J. V. (2023). What makes products trendy: Introducing an innovation adoption model. Physica A: Statistical Mechanics and its Applications, 616, 128621.
  • Welc, F., Marks, L., Milecka, K. (2023), Earliest cereal cultivation in Egypt recorded in the FaiyumOasis lake deposits and its palaeoclimatic context, Geological Quarterly Vol 67, No 2 (2023) 67: 21, doi: 10.7306/gq.1691/
  • Spytek, M., Hryniewska-Guzik, W., Zygierewicz, J., Rogala, J., & Biecek, P. (2023). Challenges facing the explainability of age prediction models: case study for two modalities. arXiv preprint arXiv:2303.06640.
  • Plucińska, R., Jędrzejewski, K., Malinowska, U., & Rogala, J. (2023). Leveraging Multiple Distinct EEG Training Sessions for Improvement of Spectral-Based Biometric Verification Results. Sensors, 23(4), 2057.
  • Jacek Rogala, Jarosław Żygierewicz, Urszula Malinowska, Hanna Cygan, Elżbieta Stawicka, Adam Kobus, Bart Vanrumste. Enhancing Autism Spectrum Disorder Classification in Children through the Integration of Traditional Statistics and Classical Machine Learning Techniques in EEG Analysis. Scientific Reports. Submission ID: d6803ad8-b457-41d7-bda8-3097bf261f17
  • Lewandowska, M., Tołpa, K., Rogala, J. et al. Multivariate multiscale entropy (mMSE) as a tool for understanding the resting-state EEG signal dynamics: the spatial distribution and sex/gender-related differences. Behav Brain Funct 19, 18 (2023). https://doi.org/10.1186/s12993-023-00218-7