MAAI – poster session papers

  1. A comparison of text, audio and visual prompts for EEG signal acquisition in real and imagery motor tasks –  Stanisław Zakrzewski, Bartłomiej Stasiak, Adam Wojciechowski
  2. A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons – Wojciech Lesiński, Witold Rudnicki
  3. Analysis of brain activity based on long-term averaging of EEG signals – Wlodzislaw Duch, Krzysztof Tołpa, Ewa Ratajczak, Łukasz Furman, Luis Alexandre
  4. Cluster reduction by feature selection form input images – Marcin Wozniak, Martyna Kobielnik, Marcin Woźniak
  5. DiffuRNA: A diffusion model for RNA structure prediction – Michał Budnik, Łukasz Grala, Jakub Wawrzyniak, Miłosz Kadziński, Natalia Szóstak
  6. Hybrid model for tractography – Mateusz Koryciński, Konrad Ciecierski, Ewa Niewiadomska-Szynkiewicz
  7. Interpretable Deep Learning Approach for Emotional States Recognition Using EEG Signals and SincNet-based Neural Network – Architecture –  Aleksandra Dura, Agnieszka Wosiak
  8. Measuring Performance of Smartphone-based Speech Monitoring by Hidden Markov Models: Application Example in Bipolar Disorder – Filip Wichrowski, Katarzyna Kaczmarek-Majer
  9. Modelling of Drug-induced Liver Injury with multiple Machine Learning algorithms – Wojciech Lesiński, Agnieszka Kitlas Golińska, Witold Rudnick
  10. Sensitivity of Evaluation Metrics for Disease Progression Assessment Using Bone Scintigraphy Images: A Critical Analysis – Małgorzata Krzywicka, Agnieszka Wosiak