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2020 – today
- 2023
[c10]Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zieba, Adam Gonczarek:
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks. ACL (student) 2023: 119-129- [c9]Mateusz Wójcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek:
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. ACL (industry) 2023: 527-537 - [c8]Witold Kosciukiewicz
, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek:
Similarity-Based Memory Enhanced Joint Entity and Relation Extraction. ICCS (2) 2023: 290-297 - [i5]Mateusz Wójcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek:
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. CoRR abs/2307.05399 (2023) - [i4]Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zieba, Adam Gonczarek:
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks. CoRR abs/2307.07002 (2023) - [i3]Mateusz Baran, Mateusz Wójcik, Piotr Kolebski, Michal Bernaczyk, Krzysztof Rajda, Lukasz Augustyniak, Tomasz Kajdanowicz:
Electoral Agitation Data Set: The Use Case of the Polish Election. CoRR abs/2307.07007 (2023) - [i2]Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek:
Similarity-based Memory Enhanced Joint Entity and Relation Extraction. CoRR abs/2307.11762 (2023) - 2022
- [c7]Mateusz Baran, Mateusz Wójcik, Piotr Kolebski, Michal Bernaczyk, Krzysztof Rajda, Lukasz Augustyniak, Tomasz Kajdanowicz:
Electoral Agitation Dataset: The Use Case of the Polish Election. PoliticalNLP@LREC 2022: 32-36 - [i1]Mateusz Wójcik, Witold Kosciukiewicz, Tomasz Kajdanowicz, Adam Gonczarek:
Neural Architecture for Online Ensemble Continual Learning. CoRR abs/2211.14963 (2022) - 2021
- [j2]Andrzej Bielecki, Mateusz Wójcik:
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. 108: 107400 (2021)
2010 – 2019
- 2019
- [c6]Daniel Dworak, Filip Ciepiela, Jakub Derbisz, Izzat Izzat, Mateusz Komorkiewicz, Mateusz Wójcik:
Performance of LiDAR object detection deep learning architectures based on artificially generated point cloud data from CARLA simulator. MMAR 2019: 600-605 - 2017
- [j1]Andrzej Bielecki, Mateusz Wójcik:
Hybrid system of ART and RBF neural networks for online clustering. Appl. Soft Comput. 58: 1-10 (2017) - 2015
- [c5]Przemyslaw Spurek, Mateusz Wójcik, Jacek Tabor:
Cross-Entropy Clustering Approach to One-Class Classification. ICAISC (1) 2015: 481-490 - 2014
- [c4]Andrzej Bielecki, Tomasz Barszcz, Mateusz Wójcik, Marzena Bielecka:
Hybrid System of ART and RBF Neural Networks for Classification of Vibration Signals and Operational States of Wind Turbines. ICAISC (1) 2014: 3-11 - 2012
- [c3]Marzena Bielecka, Tomasz Barszcz, Andrzej Bielecki, Mateusz Wójcik:
Fractal Modelling of Various Wind Characteristics for Application in a Cybernetic Model of a Wind Turbine. ICAISC (2) 2012: 531-538 - 2011
- [c2]Tomasz Barszcz, Marzena Bielecka, Andrzej Bielecki, Mateusz Wójcik:
Wind Turbines States Classification by a Fuzzy-ART Neural Network with a Stereographic Projection as a Signal Normalization. ICANNGA (2) 2011: 225-234 - 2010
- [c1]Tomasz Barszcz, Andrzej Bielecki, Mateusz Wójcik:
ART-Type Artificial Neural Networks Applications for Classification of Operational States in Wind Turbines. ICAISC (2) 2010: 11-18
Coauthor Index
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