mgr inż. Monika Kaczorowska
Dyscyplina:
informatyka techniczna i telekomunikacja
Artykuły
1. A Three-Class Classification of Cognitive Workload Based on EEG Spectral Data / Małgorzata Plechawska-Wójcik, Mikhail Tokovarov, Monika Kaczorowska and Dariusz Zapała // Applied Sciences.- 2019, vol. 9, nr 24, s. 1-15 [MNiSW: 100]
2. Analysis of applied reference leads influence on an EEG spectrum / Małgorzata Plechawska-Wójcik, Kinga Wesołowska, Martyna Wawrzyk, Monika Kaczorowska, Mikhail Tokovarov // Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska.- 2017, vol. 7, nr 2, s. 44-49 [MNiSW: 7]
3. Analysis of typical programming mistakes made by first and second year IT students / Monika Kaczorowska // JCSI - Journal of Computer Sciences Institute.- 2020, vol. 15, s. 202-205 [MNiSW: 5]
4. Automated Classification of Cognitive Workload Levels Based on Psychophysiological and Behavioural Variables of Ex-Gaussian Distributional Features / Monika Kaczorowska, Małgorzata Plechawska-Wójcik, Mikhail Tokovarov and Paweł Krukow // Brain Sciences.- 2022, vol. 12, nr 5, s. 1-15 [MNiSW: 100]
5. Comparative analysis of two-group supervised classification algorithms in the study of P300-based brain-computer interface / Małgorzata Plechawska-Wójcik, Monika Kaczorowska, Bernadetta Michalik // MATEC Web of Conferences.- 2019, vol. 252, s. 1-6 [MNiSW: 5]
6. Development of Extensive Polish Handwritten Characters Database for Text Recognition Research / Mikhail Tokovarov, Monika Kaczorowska, Marek Miłosz // Advances in Science and Technology Research Journal.- 2020, vol. 14, nr 3, s. 30-38 [MNiSW: 100]
7. EEG spectral analysis of human cognitive workload study / Małgorzata Plechawska-Wójcik, Martyna Wawrzyk, Kinga Wesołowska, Monika Kaczorowska, Mikhail Tokovarov, Roman Dmytruk, Magdalena Borys // Studia Informatica.- 2017, vol. 38, nr 2, s. 17-30 [MNiSW: 9]
8. Identification, characterisation, and correction of artefacts in electroencephalographic data in study of stationary and mobile electroencephalograph / Monika Kaczorowska // ITM Web of Conferences.- 2017, vol. 15, s. 1-7 [MNiSW: 15]
9. Interpretable Machine Learning Models for Three-Way Classification of Cognitive Workload Levels for Eye-Tracking Features / Monika Kaczorowska, Małgorzata Plechawska-Wójcik and Mikhail Tokovarov // Brain Sciences.- 2021, vol. 11, nr 2, s. 1-22 [MNiSW: 100]
10. On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions / Monika Kaczorowska, Paweł Karczmarek, Małgorzata Plechawska-Wójcik and Mikhail Tokovarov // Sensors.- 2021, vol. 21, nr 13, s. 1-13 [MNiSW: 100]
11. Performance analysis and optimal parameter selection for 300-based brain-computer interface / Małgorzata Plechawska-Wójcik, Monika Kaczorowska // Studia Informatica.- 2016, vol. 37, nr 1, s. 41-54 [MNiSW: 9]
12. Recognition of Electroencephalography-Related Features of Neuronal Network Organization in Patients With Schizophrenia Using the Generalized Choquet Integrals / Małgorzata Plechawska-Wójcik, Paweł Karczmarek, Paweł Krukow, Monika Kaczorowska, Mikhail Tokovarov and Kamil Jonak // Frontiers in Neuroinformatics.- 2021, vol. 15, s. 1-11 [MNiSW: 140]
13. Recognition of handwritten Latin characters with diacritics using CNN / Edyta Łukasik, Małgorzata Charytanowicz, Marek Miłosz, Mikhail Tokovarov, Monika Kaczorowska, Dariusz Czerwiński and Tomasz Zientarski // Bulletin of the Polish Academy of Sciences Technical Sciences.- 2021, vol. 69, nr 1, s. 1-12 [MNiSW: 100]
14. The Influence Assessment of Artifact Subspace Reconstruction on the EEG Signal Characteristics / Małgorzata Plechawska-Wójcik, Paweł Augustynowicz, Monika Kaczorowska, Emilia Zabielska-Mendyk and Dariusz Zapała // Applied Sciences.- 2023, vol. 13, nr 3, s. 1-14 [MNiSW: 100]
Fragmenty książek
1. An analysis of eye-tracking and electroencephalography data for cognitive load measurement during arithmetic tasks / Magdalena Borys, Mikhail Tokovarov, Martyna Wawrzyk, Kinga Wesołowska, Małgorzata Plechawska-Wójcik, Roman Dmytruk, Monika Kaczorowska. [W]: 10th International Symposium on Advanced Topics in Electrical Engineering (ATEE) 2017.- 2017, s. 287-292 [MNiSW: 15]
2. Binary Classification of Cognitive Workload Levels with Oculography Features / Monika Kaczorowska, Martyna Wawrzyk, Małgorzata Plechawska-Wójcik. [W]: Computer Information Systems and Industrial Management : 19th International Conference, CISIM 2020 Bialystok, Poland, October 16–18, 2020 Proceedings.- 2020, s. 243-254 [MNiSW: 40]
3. Classifying cognitive workload based on brain waves signal in the arithmetic tasks' study / Małgorzata Plechawska-Wójcik, Magdalena Borys, Mikhail Tokovarov, Monika Kaczorowska, Kinga Wesołowska, Martyna Wawrzyk. [W]: 11th International Conference on Human System Interaction (HSI) - 2018.- 2018, s. 277-283
4. Comparative analysis of measures of biological artefacts identification in the electroencefalography signal in the context of biological noise / Monika Kaczorowska. [W]: International Conference on Electromagnetic Devices and Processes in Environment Protection with Seminar Applications of Superconductors (ELMECO & AoS) 2017.- 2017, s. 1-4 [MNiSW: 15]
5. Comparison of the ICA and PCA methods in correction of EEG signal artefacts / Monika Kaczorowska, Małgorzata Plechawska-Wójcik, Mikhail Tokovarov, Roman Dmytruk. [W]: 10th International Symposium on Advanced Topics in Electrical Engineering (ATEE) 2017.- 2017, s. 262-267 [MNiSW: 15]
6. Gamification as a tool promoting a pro-ecological attitude among drivers / Małgorzata Plechawska-Wójcik, Tomasz Drożdżyk, Monika Kaczorowska, Mikhail Tokovarov. [W]: INTED 2020 : 14th International Technology, Education and Development Conference : conference proceedings.- 2020, s. 6091-6097 [MNiSW: 5]
7. Interactive application supporting numerical methods teaching / Monika Kaczorowska, Roman Dmytruk, Beata Pańczyk. [W]: INTED 2017 : 11th International Technology, Education and Development Conference : conference proceedings.- 2017, s. 536-545 [MNiSW: 15]
8. Is it a Good Idea to Learn Numerical Methods Using Moblie Phone? / Monika Kaczorowska, Mikhail Tokovarov, Beata Pańczyk, Małgorzata Plechawska-Wójcik. [W]: INTED 2020 : 14th International Technology, Education and Development Conference : conference proceedings.- 2020, s. 5869-5877 [MNiSW: 5]
9. Measuring cognitive workload in arithmetic tasks based on response time and EEG features / Małgorzata Plechawska-Wójcik, Magdalena Borys, Mikhail Tokovarov, Monika Kaczorowska. [W]: Information Systems Architecture and Technology. Pt. 1.- 2018, s. 59-72 [MNiSW: 20]
10. Multi-class classification of EEG spectral data for artifact detection / Mikhail Tokovarov, Małgorzata Plechawska-Wójcik and Monika Kaczorowska. [W]: Artificial Intelligence and Soft Computing : 18th International Conference, ICAISC 2019, Zakopane, June 16–20, 2019, Proceedings. Pt 2.- 2019, s. 305-316 [MNiSW: 20]
11. On the Understanding of Anomalies in the Oculography Data and Their Classification with an Application of Fuzzy Aggregators / Michał Dolecki, Paweł Karczmarek, Łukasz Gałka, Małgorzata Plechawska-Wójcik, Monika Kaczorowska, Mikhail Tokovarov, Dariusz Czerwiński. [W]: IEEE International Conference on Fuzzy Systems (FUZZ) 2022.- 2022, s. 1-6 [MNiSW: 140]
12. Satisfaction of it students in numerical methods learning using educational application – research results / Monika Kaczorowska, Beata Pańczyk, Roman Dmytruk. [W]: INTED 2018 : 12th International Technology, Education and Development Conference : conference proceedings.- 2018, s. 4168-4175
13. The artifact subspace reconstruction (ASR) for EEG signal correction. A comparative study / Małgorzata Plechawska-Wójcik, Monika Kaczorowska, Dariusz Zapała. [W]: Information Systems Architecture and Technology : proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018. Pt 2.- 2019, s. 125-135 [MNiSW: 20]
14. Towards human identification based on SSVEP response / Mikhail Tokovarov, Monika Kaczorowska, Małgorzata Plechawska-Wójcik. [W]: International Conference on Electromagnetic Devices and Processes in Environment Protection with Seminar Applications of Superconductors (ELMECO & AoS) 2017.- 2017, s. 1-4
15. Towards student concentration assessment using P300-based brain-computer interface / Małgorzata Plechawska-Wójcik, Monika Kaczorowska. [W]: INTED 2016 : 10th International Technology, Education and Development Conference : conference proceedings.- 2016, s. 844-852 [MNiSW: 15]
16. User experience driven assessment of selected features and perspectives of instant messaging applications / Monika Kaczorowska, Mikhail Tokovarov. [W]: Modern Computational Methods and their Applications in Engineering Science.- 2020, s. 62-70 [MNiSW: 20]
Inne materiały
1. User experience driven assessment of perspectives of instant messaging development / Monika Kaczorowska, Mikhail Tokovarov. [W]: V International Conference of Computional Methods in Engineering Science - CMES'20, Lublin, 24 listopada 2020 - 25 listopada 2020
Jeżeli ta strona zawiera nieaktualne, błędne lub niekompletne dane prosimy o kontakt pod adresem oab@pollub.pl