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Monika Kaczorowska

Observed name: Kaczorowska, Monika
ORCID: 0000-0002-4618-7937
Observed ORCID: 0000-0002-4618-7937
OpenAlex ID: A5074821176
The Artifact Subspace Reconstruction (ASR) for EEG Signal Correction. A Comparative Study
2018 · Malgorzata Plechawska-Wojcik, Monika Kaczorowska, et al. · Advances in intelligent systems and computing · 87
A Three-Class Classification of Cognitive Workload Based on EEG Spectral Data
2019 · Małgorzata Plechawska-Wójcik, Mikhail Tokovarov, et al. · Applied Sciences · 81
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Interpretable Machine Learning Models for Three-Way Classification of Cognitive Workload Levels for Eye-Tracking Features
2021 · Monika Kaczorowska, Małgorzata Plechawska-Wójcik, et al. · Brain Sciences · 43
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An analysis of eye-tracking and electroencephalography data for cognitive load measurement during arithmetic tasks
2017 · Magdalena Borys, Mikhail Tokovarov, et al. · International Symposium on Advanced Topics in Electrical Engineering · 35
The Influence Assessment of Artifact Subspace Reconstruction on the EEG Signal Characteristics
2023 · Małgorzata Plechawska-Wójcik, Paweł Augustynowicz, et al. · Applied Sciences · 27
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Comparison of the ICA and PCA methods in correction of EEG signal artefacts
2017 · Monika Kaczorowska, Malgorzata Plechawska-Wojcik, et al. · International Symposium on Advanced Topics in Electrical Engineering · 22
Recognition of handwritten Latin characters with diacritics using CNN
2021 · Edyta Lukasik, Malgorzata Charytanowicz, et al. · Bulletin of the Polish Academy of Sciences Technical Sciences · 16
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On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions
2021 · Monika Kaczorowska, Paweł Karczmarek, et al. · Sensors · 8
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Classifying Cognitive Workload Based on Brain Waves Signal in the Arithmetic Tasks' Study
2018 · Malgorzata Plechawska-Wojcik, Magdalena Borys, et al. · Conference on Human System Interactions · 8
Automated Classification of Cognitive Workload Levels Based on Psychophysiological and Behavioural Variables of Ex-Gaussian Distributional Features
2022 · Monika Kaczorowska, Małgorzata Plechawska-Wójcik, et al. · Brain Sciences · 6
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Development of Extensive Polish Handwritten Characters Database for Text Recognition Research
2020 · Mikhail Tokovarov, Monika Kaczorowska, et al. · Advances in Science and Technology – Research Journal · 6
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EEG spectral analysis of human cognitive workload study
2017 · Plechawska-Wójcik, Małgorzata, Wawrzyk, Martyna, et al. · 6
Binary Classification of Cognitive Workload Levels with Oculography Features
2020 · Monika Kaczorowska, Martyna Wawrzyk, et al. · Lecture notes in computer science · 5
Analysis of typical programming mistakes made by first and second year IT students
2020 · Monika Kaczorowska · Journal of Computer Sciences Institute · 4
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Measuring Cognitive Workload in Arithmetic Tasks Based on Response Time and EEG Features
2017 · Małgorzata Plechawska-Wójcik, Magdalena Borys, et al. · Advances in intelligent systems and computing · 4
Towards human identification based on SSVEP response: A proof of concept study
2017 · Mikhail Tokovarov, Monika Kaczorowska, et al. · International Conference on Electromagnetic Devices and Processes in Environment Protection with Seminar Applications of Superconductors (ELMECO & AoS) · 3
On the Understanding of Anomalies in the Oculography Data and Their Classification with an Application of Fuzzy Aggregators
2022 · Michal Dolecki, Pawel Karczmarek, et al. · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · 2
Recognition of Electroencephalography-Related Features of Neuronal Network Organization in Patients With Schizophrenia Using the Generalized Choquet Integrals
2021 · Małgorzata Plechawska-Wójcik, Paweł Karczmarek, et al. · Frontiers in Neuroinformatics · 2
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Comparative analysis of two-group supervised classification algorithms in the study of P300-based brain-computer interface
2019 · Małgorzata Plechawska-Wójcik, Monika Kaczorowska, et al. · MATEC Web of Conferences · 2
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Gamification as a Tool Promoting a Pro-ecological Attitude Among Drivers
2020 · Malgorzata Plechawska-Wojcik, Tomasz Drozdzyk, et al. · INTED proceedings · 1
Multi-class Classification of EEG Spectral Data for Artifact Detection
2019 · Mikhail Tokovarov, Małgorzata Plechawska-Wójcik, et al. · Lecture notes in computer science · 1
Satisfaction of It Students in Numerical Methods Learning Using Educational Application – Research Results
2018 · Monika Kaczorowska, Beata Pańczyk, et al. · INTED proceedings · 1
Comparative analysis of measures of biological artefacts identification in the electroencefalography signal in the context of biological noise
2017 · Monika Kaczorowska · International Conference on Electromagnetic Devices and Processes in Environment Protection with Seminar Applications of Superconductors (ELMECO & AoS) · 1
Interactive Application Supporting Numerical Methods Teaching
2017 · Monika Kaczorowska, Roman Dmytruk, et al. · INTED proceedings · 1
Performance analysis and optimal parameter selection for 300-based brain-computer interface
2016 · Plechawska-Wójcik, Małgorzata, Kaczorowska, Monika · 1
Works count: 33
Citation count: 374
H-index: 8
I10-index: 7
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