Fragmenty książek z 2022 (1)
1. 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]
Fragmenty książek z 2021 (3)
1. A Video-Streaming-Assisted Approach to Conducting Database Remote Classes During Covid-19 Pandemic / Mikhail Tokovarov, Tomasz Szymczyk, Jacek Kęsik, Kamil Żyła, Maciej Pańczyk. [W]: INTED 2021 : 15th International Technology, Education and Development Conference : conference proceedings.- 2021, s. 6985-6991 [MNiSW: 5]
2. Practical Training of Students Through the Implementation of Projects in the Field of Interface Design and Systems Ergonomics / Katarzyna Baran, Mikhail Tokovarov, Tomasz Szymczyk. [W]: INTED 2021 : 15th International Technology, Education and Development Conference : conference proceedings.- 2021, s. 7040-7048 [MNiSW: 5]
3. Teaching Operating Systems in the Era of Coronavirus and Remote Work - The Case of Lublin University of Technology / Jacek Kęsik, Kamil Żyła, Maciej Pańczyk, Mikhail Tokovarov, Tomasz Szymczyk. [W]: INTED 2021 : 15th International Technology, Education and Development Conference : conference proceedings.- 2021, s. 4919-4925 [MNiSW: 5]
Fragmenty książek z 2020 (6)
1. Analysis of human brain responses to visual and audio stimuli based on EEG evoked potentials / Małgorzata Plechawska-Wójcik, Mikhail Tokovarov, Mateusz Mitaszka, Przemysław Pudło. [W]: Computational Intelligence Information Technology and Systems Research.- 2020, s. 102-118 [MNiSW: 20]
2. Convolutional Neural Networks with Reusable Full-Dimension-Long Layers for Feature Selection and Classification of Motor Imagery in EEG Signals / Mikhail Tokovarov. [W]: Artificial Neural Networks and Machine Learning – ICANN 2020 : proceedings. Pt 1.- 2020, s. 79-91 [MNiSW: 70]
3. 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]
4. 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]
5. Transfer Learning Approach in Classification of BCI Motor Imagery Signal / Filip Begiełło, Mikhail Tokovarov, Małgorzata Plechawska-Wójcik. [W]: Computer Information Systems and Industrial Management : 19th International Conference, CISIM 2020 Bialystok, Poland, October 16–18, 2020 Proceedings.- 2020, s. 3-14 [MNiSW: 40]
Fragmenty książek z 2019 (1)
1. 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]
Fragmenty książek z 2018 (3)
1. 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
2. Development of educational board game with appliance of low level electronics and high level interface / Mikhail Tokovarov, Piotr Kopniak. [W]: EDULEARN 18 : 10th International Confrence on Education and New Learning Technologies, Palma de Mallorca (Spain), 2nd - 4th of July, 2018 : conference proceedings.- 2018, s. 4321-4329
Fragmenty książek z 2017 (6)
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. 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]
3. Developing an educational board game using information technology / Jerzy Montusiewicz, Marek Miłosz, Jacek Kęsik, Marcin Barszcz, Krzysztof Dziedzic, Mikhail Tokovarov, Piotr Kopniak. [W]: EDULEARN 17 : 9th International Confrence on Education and New Learning Technologies, Barcelona (Spain), 3rd-5th of July, 2017 : conference proceedings.- 2017, s. 7396-7405
4. The concept of a 3D board game to recognise architectural monuments / Jerzy Montusiewicz, Marcin Barszcz, Krzysztof Dziedzic, Jacek Kęsik, Marek Miłosz, Mikhail Tokovarov. [W]: INTED 2017 : 11th International Technology, Education and Development Conference : conference proceedings.- 2017, s. 8665-8674
5. The use of RFID technology to control a 3D model realising the gamification paradigm / Dariusz Czerwiński, Marek Miłosz, Jerzy Montusiewicz, Mikhail Tokovarov. [W]: IEEE International Conference on RFID Technology & Application (RFID-TA) 2017.- 2017, s. 22-27
6. 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
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