• Journal Papers
• Conference Papers & Talks

Journal Papers

• Rostakova Z., Rosipal R.
  Determination of the number of components in the PARAFAC model with a nonnegative tensor structure: A simulated EEG data study.
  Neural Computing and Applications, 34:14793-14805, 2022.
  abstract

• Rosipal R., Rostakova Z., Trejo L.J.
  Tensor Decomposition of Human Narrowband Oscillatory Brain Activity in Frequency, Space and Time.
  Biological Psychology, 169:108287, 2022.
  abstract

• Rostakova Z., Rosipal R., Seifpour S., Trejo L.J.
  A Comparison of Non-negative Tucker Decomposition and Parallel Factor Analysis for Identification and Measurement of Human EEG Rhythms.
  Measurement Science Review, 20(3):126-138, 2020.
  abstract

• Rosipal R., Porubcova N., Barancok P., Cimrova B., Farkas I., Trejo L.J.
  Effects of Mirror-Box Therapy on Modulation of Sensorimotor EEG Oscillatory Rhythms: A Single-Case Longitudinal Study.
  Journal of Neurophysiology, 121(2):620-633, 2019.
  abstract

• Rostakova Z., Rosipal R.
  Profiling continuous sleep representations for better understanding of the dynamic character of normal sleep.
  Artificial Intelligence in Medicine, 97:152-167, 2019.
  abstract

• Rostakova Z., Rosipal R.
  Time Alignment as a Necessary Step in the Analysis of Sleep Probabilistic Curves.
  Measurement Science Review, 18(1):1-6, 2018.
  abstract

• Trejo L.J., Kubitz K., Rosipal R., Kochavi R.L., Montgomery L.D.
  EEG-Based Estimation and Classification of Mental Fatigue.
  Psychology, 6:572-589, 2015.
  abstract

Conference Papers & Talks

• Rosipal R., Rostakova Z., Porubcova N., Trejo L.J.
  Frequency, space and time tensor decomposition of motor imagery EEG in BCI applied to post-stroke neurorehabilitation.
  In Abstract proceedings of the 17th International Work-Conference on Artificial Neural Networks, (IWANN2023) Rojas I., Joya G., Catala A. (eds.), Ponta Delgada, Azores, pp. 3-5, 2023.
  talk

• Rostakova Z., Rosipal R.
  The effectiveness of three neural spike validation methods in setting appropriate spike boundaries
  In Proceedings of Measurement '23, Dvurecenskij A., Manka J., Svehlikova J., Witkovsky V. (eds.), Smolenice, Slovakia, pp. 100-103, 2023.
  abstract, talk
  

• Rostakova Z., Rosipal R.
  Ocular artefact removal from multi-channel EEG data with tensor decomposition.
  poster presented at 4th Polish Conference on Artificial Intelligence (PP-RAI'2023), Lodz, Poland, April 24-26, 2023.
  abstract

• Rosipal R., Korecko S., Rostakova Z., Porubcova N., Vanko M., Sobota B.
  Towards an Ecologically Valid Symbiosis of BCI and Head-mounted VR Displays.
  In Proceedings of the 16th International Scientific Conference on Informatics, Steingartner W., Korecko S., Szakal A. (eds.), Poprad, Slovakia, pp. 251-256, 2022.
  abstract

• Almagor O., Avin O., Rosipal R., Shriki O.
  Using Autoencoders to Denoise Cross-Session Non-Stationarity in EEG-Based Motor-Imagery Brain-Computer Interfaces.
  In Proceedings of the 16th International Scientific Conference on Informatics, Steingartner W., Korecko S., Szakal A.(eds.), Poprad, Slovakia, pp. 24-28, 2022.
  abstract

• Rostakova Z., Rosipal R.
  Factor number selection in the tensor decomposition of EEG data: Mission (im)possible?
  In Proceedings of Measurement '21, Dvurecenskij A., Manka J., Svehlikova J., Witkovsky V. (eds.), Smolenice, Slovakia, pp. 84-87, 2021.
  abstract, talk
  paper awarded with the Young Investigator Award

• Rostakova Z., Rosipal R., Seifpour S.
  Tucker tensor decomposition of multi-session EEG data.
  In Proceedings of the 29th International Conference on Artificial Neural Networks (ICANN20), Bratislava, Slovakia, 2020.
  abstract

• Rostakova Z., Rosipal R.
  Three-way Analysis of Multichannel EEG Data Using the PARAFAC and Tucker Models.
  In Proceedings of Measurement '19, Manka J., Svehlikova J., Witkovsky V., Frollo I. (eds.), Smolenice, Slovakia, pp. 127-130, 2019.
  abstract, talk
  paper awarded with the Young Investigator Award

• Rostakova Z., Rosipal R.
  The Parallel Factor Analysis and the Tucker Model: A Simulation Study.
  talk at Olomoucian Days of Applied Mathematics (ODAM 2019), Olomouc, Czech Republic, May 29-31, 2019.
  abstract

• Korecko S., Hudak M., Sobota B., Marko M., Cimrova B., Farkas I., Rosipal R.
  Assessment and training of visuospatial cognitive functions in virtual reality: proposal and perspective.
  In Proceedings of CogInfoCom: The 9th IEEE International Conference on Cognitive InfoCommunications, Budapest, Hungary, pp. 39-43, 2018.
  abstract, talk

• Rosipal R., Porubcova N., Cimrova B., Farkas I.
  Mirror-therapy as a way to start BCI robot-assisted rehabilitation: a single case longitudinal study of a patient with hemiparesis.
  poster presented at The Seventh International BCI Meeting, Pacific Grove, CA, USA, May 21-25, 2018.
  abstract

• Rosipal R., Porubcova N., Barancok P., Cimrova B., Teplan M., Farkas I.
  Brain-computer interface with robot-assisted training for neurorehabilitation.
  poster presented at International Conference on Artificial Neural Networks (ICANN'17), Alghero, Italy, September 11-14, 2017.
  abstract

• Rostakova Z., Dorffner G., Aydemir O., Rosipal R.
  Estimation of Sleep Quality by Using Microstructure Profiles.
  In Artificial Intelligence in Medicine (AIME 2017), Lecture Notes in Computer Science, Springer, ten Teije A. et al (eds.), vol. 10259, pp. 105-115, 2017.
  abstract

• Rostakova Z., Rosipal R.
  Importance of the Time Alignment of the Sleep Probabilistic Curves.
  In Proceedings of Measurement '17, Manka J., Tysler M., Witkovsky V., Frollo I. (eds.), Smolenice, Slovakia, pp. 27-30, 2017.
  abstract

• Krakovska A., Skoviera R., Rosipal R.
  Spectral, Complexity and Interdependence Measures of Sleep EEG after Ischemic Stroke
  In Proceedings of Measurement '17, Manka J., Tysler M., Witkovsky V., Frollo I. (eds.), Smolenice, Slovakia, pp. 245-249, 2017.
  abstract

• Rosipal R., Porubcová N., Barančok P., Cimrová B., Farkaš I.
  Mirror-box Training in Healthy Subjects and a Patient with Hemiparesis.
  poster presented at The 15th European Congress on Clinical Neurophysiology, Brno, Czech Republic, Sept. 30-Oct. 3, 2015.
  abstract

• Rosipal R.
  Modulation of brain oscillatory rhythms: conceptual, experimental and algorithmic design.
  invited talk at Zimní škola kognitivní psychologie, Malá Skála, Czech Republic, February 5-8, 2015.

• Krakovska A., Skoviera R., Dorffner G., Rosipal R.
  Does the Complexity of Sleep EEG Increase or Decrease with Age?
  In Proceedings of Measurement '15, Manka J., Tysler M., Witkovsky V., Frollo I. (eds.), Smolenice, Slovakia, pp. 77-80, 2015.
  abstract

• Rosipal R., Cimrová B., Rückschloss L., Kohút Z., Farkaš I., Porubcová N.
  Vplyv zrkadlového tréningu na moduláciu motorických rytmov: elektrofyziologická a klinická štúdia pacienta s hemiparézou po mozgovej príhode. (in Slovak),
  Kognícia a umelý život XV, Trenčianske Teplice, 2015.

• Cimrová B., Farkaš I., Rosipal R.
  Využitie rozhrania mozog-počíč pri neurorehabilit: prehľ aktuálneho výskumu. (in Slovak),
  Kognice a umelý život XIV, Zaječí, Czech Republic, May, 2014.

• Rosipal R.
  Modulation of sensory-motor rhythmic activities for improving BCI training in neurorehabilitation.
  invited talk at MEi:CogSci Conference, Krakow, Poland, June 12-14, 2014.

• Rosipal R.
  Multi-way Data Analysis for Advanced Processing of EEG in Cognitive and Motor-related Tasks.
  invited tutorial at MEi:CogSci Conference, Krakow, Poland, June 12-14, 2014.

• Bui T.M.P., Rosipal R.
  Differences in Sleep Patterns Among Healthy Sleepers and Patients After Stroke.
  In Proceedings of YBERC: The Sixth Biomedical Conference of Young Biomedical Engineers and Researchers, Bratislava, Slovakia, pp. 40-45, 2014.
  Clinician and Technology, 44(4):15-20, 2014.
  abstract

• Skoviera R., Rostakova Z., Krakovska A., Rosipal R.
  Spectral and Complexity Characteristics of Sleep EEG Following Ischemic Stroke.
  In Proceedings of YBERC: The Sixth Biomedical Conference of Young Biomedical Engineers and Researchers, Bratislava, Slovakia, pp. 108-114, 2014.
  abstract

• Rosipal R., Trejo L.J., Zaidel E.
  Atomic Decomposition of EEG for Mapping Cortical Activation.
  TML: Tensor Methods for Machine Learning, ECML/PKDD 2013 Workshop, Prague, Czech Republic, 2013.
  abstract, poster