Mateusz Zarski

14 papers B 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Balancing Performance and Scalability of Demand Forecasting ML Models. IDA Mateusz Zarski, Slawomir Nowaczyk
2025	J	`jnl`	Beyond Accuracy: Uncovering the Role of Similarity Perception and its Alignment with Semantics in Supervised Learning. CoRR Katarzyna Filus, Mateusz Zarski
2025	J	`jnl`	Neuroplasticity-inspired dynamic ANNs for multi-task demand forecasting. CoRR Mateusz Zarski, Slawomir Nowaczyk
2025	J	`jnl`	Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities. CoRR Katarzyna Filus, Michal Romaszewski, Mateusz Zarski
2025	J	`jnl`	dpVision: Environment for multimodal images. SoftwareX Dariusz Pojda, Mateusz Zarski, Agnieszka Anna Tomaka, Leszek Luchowski
2024	J	`jnl`	Multi-Step Feature Fusion for Natural Disaster Damage Assessment on Satellite Images. IEEE Access Mateusz Zarski, Jaroslaw Adam Miszczak
2024	J	`jnl`	Multi-step feature fusion for natural disaster damage assessment on satellite images. CoRR Mateusz Zarski, Jaroslaw Adam Miszczak
2023	—	`conf`	The Effectiveness of World Models for Continual Reinforcement Learning. CoLLAs Samuel Kessler, Mateusz Ostaszewski, Michal Pawel Bortkiewicz, Mateusz Zarski, Maciej Wolczyk, Jack Parker-Holder, Stephen J. Roberts, Piotr Milos
2022	J	`jnl`	Computer Vision Based Inspection on Post-Earthquake With UAV Synthetic Dataset. IEEE Access Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak, Bartlomiej Blachowski, Mariusz Ostrowski
2022	J	`jnl`	Computer Vision based inspection on post-earthquake with UAV synthetic dataset. CoRR Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak, Bartlomiej Blachowski, Mariusz Ostrowski
2022	J	`jnl`	Finicky transfer learning - A method of pruning convolutional neural networks for cracks classification on edge devices. Comput. Aided Civ. Infrastructure Eng. Mateusz Zarski, Bartosz Wójcik, Kamil Ksiazek, Jaroslaw Adam Miszczak
2021	J	`jnl`	Hard hat wearing detection based on head keypoint localization. CoRR Bartosz Wójcik, Mateusz Zarski, Kamil Ksiazek, Jaroslaw Adam Miszczak, Miroslaw J. Skibniewski
2021	J	`jnl`	KrakN: Transfer Learning framework and dataset for infrastructure thin crack detection. SoftwareX Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak
2020	J	`jnl`	Transfer learning for leveraging computer vision in infrastructure maintenance. CoRR Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak