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Jolanta Masiak
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Journal Articles
- 2019
- [j7]Grzegorz M. Wójcik
, Andrzej Kawiak
, Lukasz Kwasniewicz
, Piotr Schneider
, Jolanta Masiak
:
Azure Machine Learning tools efficiency in the electroencephalographic signal P300 standard and target responses classification. Bio Algorithms Med Syst. 15(3) (2019) - [j6]Grzegorz M. Wójcik
, Jolanta Masiak
, Andrzej Kawiak, Lukasz Kwasniewicz
, Piotr Schneider, Filip Postepski, Anna Gajos-Balinska
:
Analysis of Decision-Making Process Using Methods of Quantitative Electroencephalography and Machine Learning Tools. Frontiers Neuroinformatics 13: 73 (2019) - [j5]Waldemar W. Koczkodaj, Tamar Kakiashvili, Feng Li, Alicja Wolny-Dominiak, Jolanta Masiak
:
Optimizing predictability of rating scales by differential evolution for the use by collective intelligent information and database systems. J. Intell. Fuzzy Syst. 37(6): 7545-7553 (2019) - 2018
- [j4]Grzegorz M. Wójcik
, Jolanta Masiak
, Andrzej Kawiak
, Piotr Schneider, Lukasz Kwasniewicz
, Nikodem Polak, Anna Gajos-Balinska:
New Protocol for Quantitative Analysis of Brain Cortex Electroencephalographic Activity in Patients With Psychiatric Disorders. Frontiers Neuroinformatics 12: 27 (2018) - [j3]Grzegorz M. Wójcik
, Jolanta Masiak
, Andrzej Kawiak
, Lukasz Kwasniewicz
, Piotr Schneider, Nikodem Polak, Anna Gajos-Balinska:
Mapping the Human Brain in Frequency Band Analysis of Brain Cortex Electroencephalographic Activity for Selected Psychiatric Disorders. Frontiers Neuroinformatics 12: 73 (2018) - [j2]Piotr Wierzgala, Dariusz Zapala
, Grzegorz M. Wójcik
, Jolanta Masiak
:
Most Popular Signal Processing Methods in Motor-Imagery BCI: A Review and Meta-Analysis. Frontiers Neuroinformatics 12: 78 (2018) - 2016
- [j1]Lukasz Kwasniewicz
, Wieslawa Kuniszyk-Józkowiak
, Grzegorz M. Wójcik
, Jolanta Masiak
:
Adaptation of the humanoid robot to speech disfluency therapy. Bio Algorithms Med Syst. 12(4): 169-177 (2016)
Informal and Other Publications
- 2018
- [i1]Andy R. Eugene
, Jolanta Masiak
, Beata Eugene:
Predicting lithium treatment response in bipolar patients using gender-specific gene expression biomarkers and machine learning. F1000Research 7: 474 (2018)
Coauthor Index
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