Mikhail Tokovarov

发表

EEG spectral analysis of human cognitive workload study

M. Borys, M. Plechawska-Wójcik, Martyna Wawrzyk, 2017 .

Automated Classification of Cognitive Workload Levels Based on Psychophysiological and Behavioural Variables of Ex-Gaussian Distributional Features

P. Krukow, M. Plechawska-Wójcik, Monika Kaczorowska, 2022, Brain sciences.

Analysis of applied reference leads influence on an EEG spectrum

M. Plechawska-Wójcik, Martyna Wawrzyk, Kinga Wesolowska, 2017 .

On the Understanding of Anomalies in the Oculography Data and Their Classification with an Application of Fuzzy Aggregators

Monika Kaczorowska, Mikhail Tokovarov, Michal Dolecki, 2022, 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A probabilistic generalization of isolation forest

Mikhail Tokovarov, Paweł Karczmarek, Mikhail Tokovarov, 2021, Inf. Sci..

Recognition of Electroencephalography-Related Features of Neuronal Network Organization in Patients With Schizophrenia Using the Generalized Choquet Integrals

Pawel Karczmarek, Kamil Jonak, Mikhail Tokovarov, 2021, Frontiers in Neuroinformatics.

A Three-Class Classification of Cognitive Workload Based on EEG Spectral Data

Małgorzata Plechawska-Wójcik, Mikhail Tokovarov, Monika Kaczorowska, 2019, Applied Sciences.

Interpretable Machine Learning Models for Three-Way Classification of Cognitive Workload Levels for Eye-Tracking Features

M. Plechawska-Wójcik, Monika Kaczorowska, Mikhail Tokovarov, 2021, Brain sciences.

Development of Extensive Polish Handwritten Characters Database for Text Recognition Research

Marek Milosz, Mikhail Tokovarov, Monika Kaczorowska, 2020 .

Recognition of Attentional States in VR Environment: An fNIRS Study

Mikhail Tokovarov, Paweł Augustynowicz, Dariusz Zapała, 2022, Sensors.

Transfer Learning Approach in Classification of BCI Motor Imagery Signal

Mikhail Tokovarov, Malgorzata Plechawska-Wójcik, Filip Begiello, 2020, CISIM.

Measuring Cognitive Workload in Arithmetic Tasks Based on Response Time and EEG Features

Magdalena Borys, Mikhail Tokovarov, Monika Kaczorowska, 2017, ISAT.

Convolutional Neural Networks with Reusable Full-Dimension-Long Layers for Feature Selection and Classification of Motor Imagery in EEG Signals

Mikhail Tokovarov, Mikhail Tokovarov, 2020, ICANN.

Comparison of the ICA and PCA methods in correction of EEG signal artefacts

Mikhail Tokovarov, Monika Kaczorowska, Malgorzata Plechawska-Wojcik, 2017, 2017 10th International Symposium on Advanced Topics in Electrical Engineering (ATEE).

On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions

Małgorzata Plechawska-Wójcik, Mikhail Tokovarov, Monika Kaczorowska, 2021, Sensors.

Effective enhancement of isolation Forest method based on Minimal Spanning tree clustering

Mikhail Tokovarov, Lukasz Galka, Paweł Karczmarek, 2023, Inf. Sci..

Brief visual deprivation effects on brain oscillations during kinesthetic and visual-motor imagery

Mikhail Tokovarov, Paweł Augustynowicz, Dariusz Zapała, 2023, Neuroscience.