Mikhail Tokovarov

According to our database, Mikhail Tokovarov authored at least 13 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

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

Lukasz Galka, Pawel Karczmarek, Mikhail Tokovarov

Inf. Sci., May, 2023

2022

Recognition of Attentional States in VR Environment: An fNIRS Study.

Dariusz Zapala, Pawel Augustynowicz, Mikhail Tokovarov

Sensors, 2022

A probabilistic generalization of isolation forest.

Mikhail Tokovarov, Pawel Karczmarek

Inf. Sci., 2022

Isolation Forest Based on Minimal Spanning Tree.

Lukasz Galka, Pawel Karczmarek, Mikhail Tokovarov

IEEE Access, 2022

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

Michal Dolecki, Pawel Karczmarek, Lukasz Galka, Malgorzata Plechawska-Wójcik, Monika Kaczorowska, Mikhail Tokovarov, Dariusz Czerwinski

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

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

Monika Kaczorowska, Pawel Karczmarek, Malgorzata Plechawska-Wójcik, Mikhail Tokovarov

Sensors, 2021

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

Malgorzata Plechawska-Wójcik, Pawel Karczmarek, Pawel Krukow, Monika Kaczorowska, Mikhail Tokovarov, Kamil Jonak

Frontiers Neuroinformatics, 2021

2020

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

Mikhail Tokovarov

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Transfer Learning Approach in Classification of BCI Motor Imagery Signal.

Filip Begiello, Mikhail Tokovarov, Malgorzata Plechawska-Wójcik

Proceedings of the Computer Information Systems and Industrial Management, 2020

2019

Multi-class Classification of EEG Spectral Data for Artifact Detection.

Mikhail Tokovarov, Malgorzata Plechawska-Wójcik, Monika Kaczorowska

Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018

Classifying Cognitive Workload Based on Brain Waves Signal in the Arithmetic Tasks' Study.

Malgorzata Plechawska-Wójcik, Magdalena Borys, Mikhail Tokovarov, Monika Kaczorowska, Kinga Wesolowska, Martyna Wawrzyk

Proceedings of the 11th International Conference on Human System Interaction, 2018

2017

The use of RFID technology to control a 3D model realising the gamification paradigm.

Dariusz Czerwinski, Marek Milosz, Jerzy Montusiewicz, Mikhail Tokovarov

Proceedings of the IEEE International Conference on RFID Technology & Application, 2017

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

Malgorzata Plechawska-Wójcik, Magdalena Borys, Mikhail Tokovarov, Monika Kaczorowska

Proceedings of the Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology - ISAT 2017, 2017