Mateusz Wójcik

20 papers Misc 1Journal 9Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions.
CoRR
Bartlomiej Sobieski, Jakub Grzywaczewski, Karol Dobiczek, Mateusz Wójcik, Tomasz Bartczak, Patryk Szatkowski, Przemyslaw Bombinski, Matthew Tivnan, Przemyslaw Biecek
2026 J jnl
On discovering and analyzing variable dependencies to construct an effective and efficient optimizer dedicated to solving the new real-world multi-objective resource-allocation problem.
Appl. Soft Comput.
Michal Witold Przewozniczek, Pawel Borys Myszkowski, Witold Kosciukiewicz, Mateusz Wójcik, Adam Gonczarek, Adam Korkus
2025 — conf
How Much Noise is there in Labels Generated by Humans? A Method to Validate Automatically Generated Bounding Boxes.
CVPR Workshops
Mariusz Karol Nowak, Jacek Cyranka, Natalia Maslany, Aleksander Kostuch, Jakub Derbisz, Mateusz Komorkiewicz, Patryk Siwek, Mateusz Wójcik, Dariusz Marchewka, Pawel Skruch
2023 — conf
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks.
ACL (student)
Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zieba, Adam Gonczarek
2023 J jnl
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks.
CoRR
Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zieba, Adam Gonczarek
2023 — conf
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform.
ACL (industry)
Mateusz Wójcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek
2023 J jnl
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform.
CoRR
Mateusz Wójcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek
2023 J jnl
Electoral Agitation Data Set: The Use Case of the Polish Election.
CoRR
Mateusz Baran, Mateusz Wójcik, Piotr Kolebski, Michal Bernaczyk, Krzysztof Rajda, Lukasz Augustyniak, Tomasz Kajdanowicz
2023 — conf
Similarity-Based Memory Enhanced Joint Entity and Relation Extraction.
ICCS (2)
Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek
2023 J jnl
Similarity-based Memory Enhanced Joint Entity and Relation Extraction.
CoRR
Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek
2022 — conf
Electoral Agitation Dataset: The Use Case of the Polish Election.
PoliticalNLP@LREC
Mateusz Baran, Mateusz Wójcik, Piotr Kolebski, Michal Bernaczyk, Krzysztof Rajda, Lukasz Augustyniak, Tomasz Kajdanowicz
2022 J jnl
Neural Architecture for Online Ensemble Continual Learning.
CoRR
Mateusz Wójcik, Witold Kosciukiewicz, Tomasz Kajdanowicz, Adam Gonczarek
2021 J jnl
Hybrid AI system based on ART neural network and Mixture of Gaussians modules with application to intelligent monitoring of the wind turbine.
Appl. Soft Comput.
Andrzej Bielecki, Mateusz Wójcik
2019 Misc conf
Performance of LiDAR object detection deep learning architectures based on artificially generated point cloud data from CARLA simulator.
MMAR
Daniel Dworak, Filip Ciepiela, Jakub Derbisz, Izzat Izzat, Mateusz Komorkiewicz, Mateusz Wójcik
2017 J jnl
Hybrid system of ART and RBF neural networks for online clustering.
Appl. Soft Comput.
Andrzej Bielecki, Mateusz Wójcik
2015 — conf
Cross-Entropy Clustering Approach to One-Class Classification.
ICAISC (1)
Przemyslaw Spurek, Mateusz Wójcik, Jacek Tabor
2014 — conf
Hybrid System of ART and RBF Neural Networks for Classification of Vibration Signals and Operational States of Wind Turbines.
ICAISC (1)
Andrzej Bielecki, Tomasz Barszcz, Mateusz Wójcik, Marzena Bielecka
2012 — conf
Fractal Modelling of Various Wind Characteristics for Application in a Cybernetic Model of a Wind Turbine.
ICAISC (2)
Marzena Bielecka, Tomasz Barszcz, Andrzej Bielecki, Mateusz Wójcik
2011 — conf
Wind Turbines States Classification by a Fuzzy-ART Neural Network with a Stereographic Projection as a Signal Normalization.
ICANNGA (2)
Tomasz Barszcz, Marzena Bielecka, Andrzej Bielecki, Mateusz Wójcik
2010 — conf
ART-Type Artificial Neural Networks Applications for Classification of Operational States in Wind Turbines.
ICAISC (2)
Tomasz Barszcz, Andrzej Bielecki, Mateusz Wójcik