Measuring Cognitive Workload in Arithmetic Tasks Based on Response Time and EEG Features. - Malgorzata Plechawska-Wójcik; Magdalena Borys; Mikhail Tokovarov; Monika Kaczorowska (ISAT (1), 2017)

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 (HSI, 2018)

Multi-class Classification of EEG Spectral Data for Artifact Detection. - Mikhail Tokovarov; Malgorzata Plechawska-Wójcik; Monika Kaczorowska (ICAISC (2), 2019)

Binary Classification of Cognitive Workload Levels with Oculography Features. - Monika Kaczorowska; Martyna Wawrzyk; Malgorzata Plechawska-Wójcik (CISIM, 2020)

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)

On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions. - Monika Kaczorowska; Pawel Karczmarek; Malgorzata Plechawska-Wójcik; Mikhail Tokovarov (Sensors, 2021)

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 (FUZZ-IEEE, 2022)

Hierarchical Classification of Adverse Events Based on Consumer's Comments. - Monika Kaczorowska; Piotr Szymczak; Sergiy Tkachuk (ICCS (2), 2023)