POSTERS 1
Young AI, Neural Network and DL, Interdisciplinary Topics in AI
Faculty of Mathematics and Information Science Building WUT, ground floor (MiNI PW)
1 | 17 | Cartesian Genetic Programming Approach for Designing Convolutional Neural Network | Krzywda, Maciej; Łukasik, Szymon; Gandomi, Amir H | |||
2 | 32 | Classifier Ensemble Dynamic Model with Conflict Analysis | Przybyla-Kasperek, Małgorzata; Sacewicz, Jakub | |||
3 | 33 | Experimental study of energy savings for TinyML-based multi-gas detection systems | Puślecki, Tobiasz; Walkowiak, Krzysztof | |||
4 | 39 | Continual Learning with Weight Interpolation | Kozal, Jedrzej; Wozniak, Michal | |||
5 | 56 | Representation Enhancement as Sparse Data Augmentation Tool | Wojtachnia, Karol; Komorniczak, Joanna; Ksieniewicz, Paweł | |||
6 | 77 | Digital polarisation: Analysis of ‘us’ versus ‘them’ rhetoric in public discussions on social media | Gajewska, Ewelina | |||
7 | 110 | Application of Ensemble Regression Methods in Elastic Optical Network Optimization | Knapińska, Aleksandra; Kanimba, Robert; Yeşilyurt, Yusuf; Lechowicz, Piotr; Walkowiak, Krzysztof | |||
8 | 113 | Exploring the Potential of Radiomics for Detecting AI-Generated Images | Lechowicz, Marek; Kluza, Krzysztof | |||
9 | 119 | Rephrase Analytics for Digital Rhetoric: Exploring The Dynamics of Reformulation in Natural Dialogue | Uberna, Maciej Bartosz | |||
10 | 142 | Machine learning in determining Player on Ball Efficiency metrics | Mikołajski, Wojciech; Rychel, Jakub; Pilka, Tomasz; Zaręba, Michał; Świątek, Jan | |||
11 | 153 | An evolutionary algorithm for genre classification based on selection of characteristic musical themes | Laskowska, Barbara | |||
12 | 159 | Neuro-Guided Graph Expansion for Symbolic Regression | Wyrwiński, Piotr; Krawiec, Krzysztof | |||
13 | 169 | AI-supported Self-Learning Application using Emotion Recognition and Focus Analysis | Skorupka, Kamila; Adrian, Weronika | |||
14 | 170 | Autoencoder model in anomaly detection for weather data | Grzelik, Aleksandra | |||
15 | 171 | Institutional Black Boxes Pose Even Greater Risk than Algorithmic Ones in a Legal Context | Porębski, Andrzej | |||
16 | 194 | Limitation of fast camera pose reconstruction with Instant-NGP backbone | Świrta, Bartosz | |||
17 | 208 | Telemetry system as a source of data for machine learning | Sokołowski, Piotr; Ernst, Sebastian | |||
18 | 213 | Summarization of reports referring vulnerabilities and exposures in physical systems via ChatGPT | Hordieieva, Veronika; Hewelt, Krzysztof; Łosiński, Juliusz; Melcer, Andrzej; Czarnowski, Ireneusz | |||
19 | 214 | An implementation of the YOLO algorithm for the recognition of flags of the International Code of Signals | Krajewski, Jakub; Czarnowski, Ireneusz | |||
20 | 24 | Investigating Feature Collapse for Open Set Recognition Evaluation | Komorniczak, Joanna; Ksieniewicz, Paweł | |||
21 | 31 | Non-Decisive Cross Entropy loss function | Borek-Marciniec, Weronika; Ksieniewicz, Paweł | |||
22 | 35 | Improvements in Vision Graph Neural Networks | Wójcik, Bartłomiej; Tomczyk, Arkadiusz | |||
23 | 38 | Forecasting Renewable Energy Procurement Costs for Small Hybrid PV Systems in Poland: A Deep Learning Approach Leveraging Power Grid Data | Pikus, Michał | |||
24 | 64 | Voice2Face: Lightweight Neural Lips Movement Generation From Raw Audio | Bartosz, Oskar M; Dąbała, Łukasz | |||
25 | 66 | Exploration of Metaheuristic Approaches for Tuning Internal Parameters in Probabilistic Neural Networks | Kucharczyk, Szymon; Kowalski, Piotr | |||
26 | 79 | Delay-Line Transformer | Zając, Krzysztof; Wachel, Pawel | |||
27 | 83 | Predicting churn with RNN based neural networks models in e-book subscription domain | Ropiak, Krzysztof; Drozda, Pawel; Mozalewski, Łukasz; Małaczyński, Mikołaj; Frukacz, Mateusz | |||
28 | 99 | Comparative Study on Different Hyperdimensional Sequence Aggregation Strategies in Dynamic Gesture Recognition | Kubicki, Kacper; Łuczak, Piotr; Kucharski, Jacek; Slot, Krzysztof | |||
29 | 111 | Enhancing Dispersed Data Classification: A Hierarchical Model Based on Neural Networks | Marfo, Kwabena Frimpong; Przybyla-Kasperek, Małgorzata | |||
30 | 120 | Generating visual explanations for deep networks using implicit neural representations | Byra, Michal; skibbe, henrik | |||
31 | 149 | Neural network pretraining and its influence on Continual Learning | Gręda, Piotr; Deja, Kamil | |||
32 | 182 | Structure-aware normalization in unified models for abstract visual reasoning | Małkiński, Mikołaj; Mańdziuk, Jacek | |||
33 | 186 | Simulating neurogenesis in artificial neural networks | Walczak, Jakub; Wojciechowski, Adam | |||
34 | 200 | Self-supervised Learning of Tokenized Representations for Raven Progressive Matrices | Kwiatkowski , Jakub; Krawiec, Krzysztof | |||
35 | 14 | Measuring Human-Like Artificial Intelligence - Use Case from Video Games | Świechowski, Maciej | |||
36 | 22 | Turning feed detection using SVM | Chmielowiec, Andrzej; Przybyłowicz, Paweł | |||
37 | 28 | Transition Into Solar Elevation Angle Domain for Photovoltaic Power Generation Forecasting | Parczyk, Paweł; Burduk, Robert | |||
38 | 74 | Calibration of Water Demand Network Through a Machine Learned Digital Twin Model | Kołodziej, Katarzyna; Cholewa, Michał; Głomb, Przemysław; Romaszewski, Michał; Koral, Wojciech; Sekuła, Przemysław; Książek, Kamil | |||
39 | 90 | Preliminary study on building a model for hydraulic pump failure prediction | Rojek, Marcin; Blachnik, Marcin | |||
40 | 102 | Ransomware Detection Using Machine Learning in the Linux Kernel | Brodzik, Adrian; Niewolski, Wojciech; Malec-Kruszyński, Tomasz; Tkaczyk, Mikołaj; Bocianiak, Krzysztof | |||
41 | 103 | Machine learning for cyber threat detection in underground mine infrastructure | Niewiadomska-Szynkiewicz, Ewa | |||
42 | 123 | Pixel-level Hyper-spectral Image Analysis using RBMs and Quantum Annealers | Rybotycki, Tomasz; Gawron, Piotr; Mazur, Dawid | |||
43 | 128 | Integrating AI and Sports Science for Enhanced Football Analytics and Injury Prediction | Grzelak, Bartłomiej; Górecki, Tomasz; Dyczkowski, Krzysztof; Pilka, Tomasz; Zaręba, Michał; Eichner, Jakub; Sadurska, Aleksandra | |||
44 | 162 | Machine learning model to develop a game with procedurally generated map | Wawrzynkiewicz, Piotr; Poniszewska-Marańda, Aneta | |||
45 | 176 | Unbiased Chlorophyll Content Estimation from Hyperspectral Data Using Machine Learning | Ruszczak, Bogdan; Wijata, Agata Maria; Nalepa, Jakub | |||
46 | 203 | Application of graph neural networks in particle track reconstruction | Gomułka, Wojciech; Kowalski, Piotr A.; Szumlak, Tomasz; Bold, Tomasz | |||
47 | 207 | Comparison of tracking accuracy of HPE algorithms for sport speed climbing analysis | Pieprzycki, Adam | |||
48 | 216 | Models of deep learning applicable to brain tumor diseases detection | Woźniak, Marcin | |||
49 | 217 | Type-2 fuzzy logic in medical diagnostic systems | Zielonka, Adam |