Poster session Green - W1
Young.AI
- COVID-19 Diagnosis Based on Chest X-ray Images (P)
Agata Giełczyk, Anna Marciniak, Martyna Tarczewska - Forecasting the Network Traffic with PROPHET (P)
Paweł Cembaluk, Jakub Aniszewski, Aleksandra Knapińska, Krzysztof Walkowiak - Detection of Damaged Fields in AIS Messages (P)
Marta Szarmach, Ireneusz Czarnowski - The ATENA Project: An International Contribution to AI in Poland (P)
Agata Giełczyk, Alfredo Petruolo, Michelangelo Agorini, Martyna Tarczewska, Karol Hartwig, Gracjan Kątek - Discovering Communities in Organizational Social Network through Hierarchical Clustering (P)
Paweł Szyman, Dariusz Barbucha - 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 - 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 - Building an Injury Prediction Model Using Football Dataset with Unbalanced Classes (P)
Aleksandra Sadurska, Tomasz Piłka - A Protocol for Acquisition of Emotion and Affect in Music - Dataset Collection During COVID-19 (EAM-DCDC) (P)
Aleksandra Wołowiec, Paweł Jemioło - WearApp - Data Gathering in Emotion and Affect Experiments with Wearables (P)
Mateusz Ficek, Paweł Jemioło - Multiple-language Approach to Fake News Classification (P)
Weronika A. Borek, Paweł Ksieniewicz - Data Stream Generation Through Real Concept’s Interpolation (A)
Joanna Komorniczak, Paweł Ksieniewicz - Increasing Depth of Neural Networks for Life-long Learning (A)
Jedrzej Kozal - COVID-19 Early Diagnosis with Use of Machine Learning (P)
Anna Marciniak, Agata Giełczyk, Martyna Tarczewska, Sylwester Kloska - Fast Hybrid Oracle-Explainer Approach to Explainability Using Optimized Search of Comprehensible Decision Trees (A)
Mateusz Szczepański, Michał Choraś, Marek Pawlicki, Rafał Kozik - Multicriteria Classifier Ensemble Learning for Imbalanced Data (A)
Weronika T. Węgier, Michał Koziarski, Michal Wozniak - Automatic Identification of Systematic Performance Changes in 5G Systems by Tracking of Changepoints (A)
Ireneusz Jabłoński, Michał Panek, Michal Wozniak - 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
- Musical Instrument Recognition with a Convolutional Neural Network (A)
Bartłomiej Stasiak, Dominika Szeliga, Piotr Szczepaniak, Paweł Tarasiuk - Deep Learning and Artificial General Intelligence: Still a Long Way to Go (A)
Maciej Świechowski - Deep Neural Network Approach to Predict Properties of Drugs and Drug-Like Molecules (A)
Magdalena Wiercioch, Johannes Kirchmair - Feature-Scoped Visualization of Representations Generated with Deep Convolutional Neural Network (A)
Tomasz Szandała, Henryk Maciejewski - 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