Antoni Jaszcz

29 papers B 6Journal 8Unranked 15
YearRankTypeTitle / Venue / Authors
2026 — conf
Dual-Objective Federated Learning Strategy for Lung X-Ray Analysis in Healthcare Systems.
ICAART (5)
Antoni Jaszcz, Katarzyna Prokop, Piotr Zerdzinski, Dawid Polap, Jakub Silka
2026 J jnl
MultiMOORA-Guided Federated Learning With KD Stabilization for Health Monitoring Devices as Protection Against Poisoning Attacks.
IEEE Internet Things J.
Antoni Jaszcz, Dawid Polap, Gautam Srivastava
2025 B conf
3D Point Cloud Classification Using Graph Convolutional Network with Multi-Scale Pooling.
DSAA
Alicja Polowczyk, Agnieszka Polowczyk, Antoni Jaszcz, Marcin Wozniak, Dawid Polap
2025 — conf
A Centralized Federated Learning Framework with Security Aspects Against Byzantine and Sybil Attacks.
ICAISC (1)
Antoni Jaszcz, Marcin Wozniak, Mariusz Pleszczynski, Adam Zielonka
2025 B conf
Atrous-CNN with Hierarchical-Based Training Strategy Approach for Decentralized Tasks.
DSAA
Antoni Jaszcz, Agnieszka Polowczyk, Alicja Polowczyk, Katarzyna Wiltos, Dawid Polap, Marcin Wozniak
2025 J jnl
End-to-end food condition system via wavelet attention enhanced network.
Neurocomputing
Antoni Jaszcz, Dawid Polap
2025 — conf
Fuzzy Attention Module for CNNs in the Application of Space Analysis.
ICAISC (2)
Antoni Jaszcz, Adam Zielonka, Michal Wieczorek, Dawid Polap
2025 B conf
Hybrid Federated Learning Framework with Client - Tailored Attentive Feature Extractor for Agricultural Health Monitoring.
DSAA
Antoni Jaszcz, Agnieszka Polowczyk, Alicja Polowczyk, Katarzyna Wiltos, Dawid Polap, Marcin Wozniak
2025 — conf
Type-2 Fuzzy Controller as a Client Reputation Mechanism for Federated Learning.
FUZZ
Antoni Jaszcz, Dawid Polap, Adam Zielonka, Michal Wieczorek
2024 J jnl
Automated Shoreline Segmentation in Satellite Imagery Using USV Measurements.
Remote. Sens.
Antoni Jaszcz, Marta Wlodarczyk-Sielicka, Andrzej Stateczny, Dawid Polap, Ilona Garczynska
2024 J jnl
Decentralized medical image classification system using dual-input CNN enhanced by spatial attention and heuristic support.
Expert Syst. Appl.
Dawid Polap, Antoni Jaszcz
2024 — conf
Distracted Driver Recognition Using CNN with Dual Self-attention Module.
ICAISC (1)
Antoni Jaszcz, Dawid Polap
2024 B conf
Dual-Encoding Y-ResNet for generating a lens flare effect in images.
IJCNN
Dawid Polap, Antoni Jaszcz, Gautam Srivastava
2024 — conf
Efficient Dijkstra-Based Greedy Algorithm for Cycle-Route Planning.
IVUS
Antoni Jaszcz, Szymon Hankus, Michal Bober, Bartosz Bugla
2024 J jnl
Energy Consumption Prediction Model for Smart Homes via Decentralized Federated Learning With LSTM.
IEEE Trans. Consumer Electron.
Dawid Polap, Gautam Srivastava, Antoni Jaszcz
2024 B conf
Generating synthetic data using GANs fusion in the digital twins model for sonars.
IJCNN
Dawid Polap, Antoni Jaszcz, Katarzyna Prokop
2024 — conf
Heuristic Feedback for Generator Support in Generative Adversarial Network.
ICAART (3)
Dawid Polap, Antoni Jaszcz
2024 — conf
Interactive Bicycle Route Planning System Using an Efficient Dijkstra-Based Algorithm.
ICIST
Antoni Jaszcz, Szymon Hankus, Michal Bober, Bartosz Bugla
2024 — conf
Semantic Segmentation for Moon Rock Recognition Using U-Net with Pyramid-Pooling-Based SE Attention Blocks.
ICAART (3)
Antoni Jaszcz, Dawid Polap
2024 J jnl
Sonar Digital Twin Layer via Multiattention Networks With Feature Transfer.
IEEE Trans. Geosci. Remote. Sens.
Dawid Polap, Antoni Jaszcz
2023 J jnl
Bilinear Pooling With Poisoning Detection Module for Automatic Side Scan Sonar Data Analysis.
IEEE Access
Dawid Polap, Antoni Jaszcz, Natalia Wawrzyniak, Grzegorz Zaniewicz
2023 B conf
Lightweight CNN based on Spatial Features for a Vehicular Damage Detection System.
IEEE Big Data
Dawid Polap, Antoni Jaszcz, Katarzyna Prokop, Gautam Srivastava
2023 — conf
The Impact of Entropy Weighting Technique on MCDM-Based Rankings on Patients Using Ambiguous medical Data.
ICIST
Antoni Jaszcz
2023 — conf
The impact of the weighting techniques on MultiMOORA-based ranking on patients using ambiguous medical data.
IVUS
Antoni Jaszcz
2022 J jnl
AIMM: Artificial Intelligence Merged Methods for flood DDoS attacks detection.
J. King Saud Univ. Comput. Inf. Sci.
Antoni Jaszcz, Dawid Polap
2022 — conf
Human-AI Collaboration to Increase the Perception of VR.
ICAISC (1)
Antoni Jaszcz, Katarzyna Prokop, Dawid Polap, Gautam Srivastava, Jerry Chun-Wei Lin
2022 — conf
Impact of augmentation techniques on the classification of medical images.
IVUS
Antoni Jaszcz
2022 — conf
VGG16-based approach for side-scan sonar image analysis.
IVUS
Antoni Jaszcz
2021 — conf
Reducing the Number of Calculations in k-nn by Class Representatives AtB Voting.
SYSTEM
Antoni Jaszcz