Poster session Green - W1

Young.AI

  1. COVID-19 Diagnosis Based on Chest X-ray Images (P)
    Agata Giełczyk, Anna Marciniak, Martyna Tarczewska
  2. Forecasting the Network Traffic with PROPHET (P)
    Paweł Cembaluk, Jakub Aniszewski, Aleksandra Knapińska, Krzysztof Walkowiak
  3. Detection of Damaged Fields in AIS Messages (P)
    Marta Szarmach, Ireneusz Czarnowski
  4. The ATENA Project: An International Contribution to AI in Poland (P)
    Agata Giełczyk, Alfredo Petruolo, Michelangelo Agorini, Martyna Tarczewska, Karol Hartwig, Gracjan Kątek
  5. Discovering Communities in Organizational Social Network through Hierarchical Clustering (P)
    Paweł Szyman, Dariusz Barbucha
  6. An Application of U-Net for Cell Detection in Fragments of Cytological Smear Images (P)
    Antonina Pater, Lukasz Roszkowiak, Jakub P. Zak, Krzysztof Siemion, Anna Korzyńska
  7. Can Reinforcement Learning Agents Be e-teachers? Application of Machine Learning in Education (P)
    Marcin Andrzejewski, Aleksander Iżemski, Piotr Linkowski, Kamil Pluciński, Eryk E Szpotański, Mateusz Lango, Krzysztof Jędrzejewski
  8. Building an Injury Prediction Model Using Football Dataset with Unbalanced Classes (P)
    Aleksandra Sadurska, Tomasz Piłka
  9. A Protocol for Acquisition of Emotion and Affect in Music - Dataset Collection During COVID-19 (EAM-DCDC) (P)
    Aleksandra Wołowiec, Paweł Jemioło
  10. WearApp - Data Gathering in Emotion and Affect Experiments with Wearables (P)
    Mateusz Ficek, Paweł Jemioło
  11. Multiple-language Approach to Fake News Classification (P)
    Weronika A. Borek, Paweł Ksieniewicz
  12. Data Stream Generation Through Real Concept’s Interpolation (A)
    Joanna Komorniczak, Paweł Ksieniewicz
  13. Increasing Depth of Neural Networks for Life-long Learning (A)
    Jedrzej Kozal
  14. COVID-19 Early Diagnosis with Use of Machine Learning (P)
    Anna Marciniak, Agata Giełczyk, Martyna Tarczewska, Sylwester Kloska
  15. Fast Hybrid Oracle-Explainer Approach to Explainability Using Optimized Search of Comprehensible Decision Trees (A)
    Mateusz Szczepański, Michał Choraś, Marek Pawlicki, Rafał Kozik
  16. Multicriteria Classifier Ensemble Learning for Imbalanced Data (A)
    Weronika T. Węgier, Michał Koziarski, Michal Wozniak
  17. Automatic Identification of Systematic Performance Changes in 5G Systems by Tracking of Changepoints (A)
    Ireneusz Jabłoński, Michał Panek, Michal Wozniak
  18. Algorithm for Managing Scattered Charging Stations for Modular Lithium-ion Battery Packs with Battery Health Measurement and Terminals for Integration into External IT Systems (A)
    Krzysztof Seręga-Pojawa

Neural Network and Deep Learning Systems

  1. Musical Instrument Recognition with a Convolutional Neural Network (A)
    Bartłomiej Stasiak, Dominika Szeliga, Piotr Szczepaniak, Paweł Tarasiuk
  2. Deep Learning and Artificial General Intelligence: Still a Long Way to Go (A)
    Maciej Świechowski
  3. Deep Neural Network Approach to Predict Properties of Drugs and Drug-Like Molecules (A)
    Magdalena Wiercioch, Johannes Kirchmair
  4. Feature-Scoped Visualization of Representations Generated with Deep Convolutional Neural Network (A)
    Tomasz Szandała, Henryk Maciejewski
  5. Semi-Automatic Evaluation of Robustness of Representations in Large-Scale Image Recognition with CNNs (A)
    Henryk Maciejewski, Tomasz Walkowiak, Kamil Szyc, Tomasz Szandała

P - paper included in the conference proceedings, A - abstract