Agnieszka Polowczyk
Researcher at Jagiellonian University in GMUM and at the Silesian University of Technology.
Profile Summary
I work in machine learning, computer vision, graph neural networks, federated learning, diffusion models, and medical AI. I am also a recipient of the Minister of Science and Higher Education Scholarship for 2025/2026.
Machine Learning
Computer Vision
Graph Neural Networks
Federated Learning
Diffusion Models
Medical AI
Publications and Scholarly Works
- Graph-Based Pixel Representation Using GCN for Semantic Face Segmentation
- Mental Illness Text Classification Based on Late Fusion Combining BERT with Apriori-Informed Graph Attention Network
- GenPlanner: From Noise to Plans - Emergent Reasoning in Flow Matching and Diffusion Models
- DIAMOND: Directed Inference for Artifact Mitigation in Flow Matching Models
- Segmented Medical Image Classification with Deep Convolutional Neural Networks Architectures for WBC Detection
- Dynamic Injection of LoRA Adapters via Prompt Semantics for Modular Stylization in Diffusion Models
- White Blood Cell Classification Based on Evolutionary Optimization of Neural Network
- 3D Point Cloud Classification Using Graph Convolutional Network with Multi-Scale Pooling
- Atrous-CNN with Hierarchical-Based Training Strategy Approach for Decentralized Tasks
- Hybrid Federated Learning Framework with Client-Tailored Attentive Feature Extractor for Agricultural Health Monitoring
- Memory Self-Regeneration: Uncovering Hidden Knowledge in Unlearned Models
- 3D Bioprinting in Combating Ischemic Heart Disease - Applications, Challenges, and Perspectives
- RSAM-UNETR: Transformers for Road Segmentation for Self-Driving Cars Using Residual Spatial Attention Module
- UnGuide: Learning to Forget with LoRA-Guided Diffusion Models
- Heuristic Optimization in Classification Atoms in Molecules Using GCN via Uniform Simulated Annealing
- Segmentation for Retinal Blood Vessels Using Channel Attention U-Net and Pix2Pix
- Graph Neural Network via Dynamic Weights and LSTM with Attention for Traffic Forecasting
- The Impact of Different Generators in Deep Convolutional GAN Models on the Quality of Generated Photos
- The Effectiveness of PCA in Decision Tree and Random Forest for Raisin Dataset
- The Effectiveness of PCA in KNN, Gaussian Naive Bayes Classifier and SVM for Raisin Dataset