| 2026 | ICAART | Dual-Objective Federated Learning Strategy for Lung X-Ray Analysis in Healthcare Systems. | Antoni Jaszcz, Katarzyna Prokop, Piotr Zerdzinski, Dawid Polap, Jakub Silka |
| 2025 | DSAA | Atrous-CNN with Hierarchical-Based Training Strategy Approach for Decentralized Tasks. | Antoni Jaszcz, Agnieszka Polowczyk, Alicja Polowczyk, Katarzyna Wiltos, Dawid Polap, Marcin Wozniak |
| 2025 | DSAA | Hybrid Federated Learning Framework with Client - Tailored Attentive Feature Extractor for Agricultural Health Monitoring. | Antoni Jaszcz, Agnieszka Polowczyk, Alicja Polowczyk, Katarzyna Wiltos, Dawid Polap, Marcin Wozniak |
| 2025 | DSAA | 3D Point Cloud Classification Using Graph Convolutional Network with Multi-Scale Pooling. | Alicja Polowczyk, Agnieszka Polowczyk, Antoni Jaszcz, Marcin Wozniak, Dawid Polap |
| 2025 | ICAISC | A Centralized Federated Learning Framework with Security Aspects Against Byzantine and Sybil Attacks. | Antoni Jaszcz, Marcin Wozniak, Mariusz Pleszczynski, Adam Zielonka |
| 2025 | ICAISC | Fuzzy Attention Module for CNNs in the Application of Space Analysis. | Antoni Jaszcz, Adam Zielonka, Michal Wieczorek, Dawid Polap |
| 2024 | ICAART | Semantic Segmentation for Moon Rock Recognition Using U-Net with Pyramid-Pooling-Based SE Attention Blocks. | Antoni Jaszcz, Dawid Polap |
| 2024 | ICAART | Heuristic Feedback for Generator Support in Generative Adversarial Network. | Dawid Polap, Antoni Jaszcz |
| 2024 | ICAISC | Distracted Driver Recognition Using CNN with Dual Self-attention Module. | Antoni Jaszcz, Dawid Polap |
| 2024 | IJCNN | Generating synthetic data using GANs fusion in the digital twins model for sonars. | Dawid Polap, Antoni Jaszcz, Katarzyna Prokop |
| 2024 | IJCNN | Dual-Encoding Y-ResNet for generating a lens flare effect in images. | Dawid Polap, Antoni Jaszcz, Gautam Srivastava |
| 2022 | ICAISC | Human-AI Collaboration to Increase the Perception of VR. | Antoni Jaszcz, Katarzyna Prokop, Dawid Polap, Gautam Srivastava, Jerry Chun-Wei Lin |