Mateusz Wójcik

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 12

Top Topics

Dependency Trees

Text Classification Tasks

Rbf Neural Network

Top Venues

Appl. Soft Comput.

Publications

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 (2023)
Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zieba, Adam Gonczarek
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks. ACL (student) (2023)
Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek
Similarity-based Memory Enhanced Joint Entity and Relation Extraction. CoRR (2023)
Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zieba, Adam Gonczarek
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks. CoRR (2023)
Mateusz Wójcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. CoRR (2023)
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)
Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek
Similarity-Based Memory Enhanced Joint Entity and Relation Extraction. ICCS (2) (2023)
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)
Mateusz Wójcik, Witold Kosciukiewicz, Tomasz Kajdanowicz, Adam Gonczarek
Neural Architecture for Online Ensemble Continual Learning. CoRR (2022)
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 (2021)
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)
Andrzej Bielecki, Mateusz Wójcik
Hybrid system of ART and RBF neural networks for online clustering. Appl. Soft Comput. 58 (2017)
Przemyslaw Spurek, Mateusz Wójcik, Jacek Tabor
Cross-Entropy Clustering Approach to One-Class Classification. ICAISC (1) (2015)
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)
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)
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)
Tomasz Barszcz, Andrzej Bielecki, Mateusz Wójcik
ART-Type Artificial Neural Networks Applications for Classification of Operational States in Wind Turbines. ICAISC (2) (2010)