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Informačná stránka zamestnanca SAV

Roman Rosipal, SAV

Adresa

Dr. Roman Rosipal

Ústav merania

Slovenská akadémia vied

Dúbravská cesta 9

841 04 Bratislava

Viac informácií na osobnej stránke

Pracoviská 

• 01/2010 - 03/2011 Section for Artificial Intelligence; Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria
• 10/2007 - 12/2009 Institute of Medical Cybernetics and Artificial Intelligence, Center for Brain Research, Medical University of Vienna, Austria
• 11/2004 - 09/2007 - Austrian Research Institute for Artificial Intelligence, Vienna, Austria
• 10/2001 - 11/2004 - NASA Ames Research Center, Computational Sciences Division, CA, USA
• 07/2000 - 08/2000 - Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Wako-Shi, Japan
• 04/1998 - 06/1998 - Department of Medical Cybernetics and Artificial Intelligence, University of Vienna, Vienna, Austria
• 01/1996 - Ústav merania, SAV, Bratislava 
• 10/1994 - 12/1995 - Ústav bioniky, Bratislava

Vzdelanie

• 2001 - ukončenie PhD štúdia na University of Paisley, Paisley, UK
• 1999 - ukončenie magisterského štúdia na MFF UK v Bratislave
• 1993 - ukončenie inžinierskeho štúdia na ČVUT Praha

Aktuálne zameranie výskumu

• výskum v oblasti výpočtovej a kognitívnej neurovedy 
• teoretické a algoritmické aspekty strojového učenia a aplikovanej štatistiky 
• analýza EEG; evokované potenciály; modelovanie a monitorovanie spánku, cognitívnej a mentálnej únavy, pozornosti, bdelosti; brain-computer interface  

Vybrané publikácie  

• 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.
• Rosipal R., Lewandowski A., Dorffner G. In search of objective components for sleep quality indexing in normal sleep. Biological Psychology, 94(1):210-220, 2013.
• Lewandowski A., Rosipal R., Dorffner G. On the Individuality of Sleep EEG Spectra. Journal of Psychophysiology, 27(3):105-112, 2013.
• Lewandowski A., Rosipal R., Dorffner G. Extracting more information from EEG recordings for a better description of sleep. Computer Methods and Programs in Biomedicine, 108(3):961-972, 2012.
• Rosipal R. Nonlinear Partial Least Squares: An Overview. In Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques, Lodhi H., Yamanishi Y. (eds.), ACCM, IGI Global, pp. 169–189, 2011.
• Rosipal R., Trejo L. J., Nunez P. L. Application of Multi-way EEG Decomposition for Cognitive Workload Monitoring. In Proceedings of the 6th International Conference on Partial Least Squares and Related Methods, Vinzi V. E, Tenenhaus M., Guan R. (eds.), Beijing, China, pp. 145–149, 2009. 
• Rosipal R., Peters B., Kecklund G., Åkerstedt T., Gruber G., Woertz M., Anderer P., Dorffner G. EEG-based Drivers' Drowsiness Monitoring using a Hierarchical Gaussian Mixture Model. In Proceedings of 13th International Conference on Human Computer Interaction, Schmorrow D.D., Reeves L.M.(eds.): Augmented Cognition, HCII 2007, Beijing, China, Springer, pp. 294-303, 2007.
• Trejo, L.J., Rosipal, R., Matthews,  B.: Brain-Computer Interfaces for 1-D and 2-D Cursor Control: Designs using Volitional Control of the EEG Spectrum or Steady-State Visual Evoked Potentials. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14(2):225-229, 2006.
• Rosipal,  R., Krämer,  N.: Overview and Recent Advances in Partial Least Squares. In Subspace, Latent Structure and Feature Selection Techniques. Saunders C., Grobelnik M., Gunn S., Shawe-Taylor J. (eds.), Springer, 34-51, 2006.
• De Bie,  T., Cristianini, N., Rosipal, R.: Eigenproblems in Pattern Recognition.
  In Handbook of Geometric Computing: Applications in Pattern Recognition, Computer Vision, Neuralcomputing, and Robotics. Bayro-Corrochano E. (eds.), Springer,  129-170, 2005.
• Rosipal R., Trejo L.J., Matthews B.: Kernel PLS-SVC for Linear and Nonlinear Classification. In Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003), 640-647, Washington DC, 2003.
• Trejo L.J., Wheeler K.R., Jorgensen C.C., Rosipal R., Clanton S.T., Matthews B., Hibbs A.D., Matthews R., Krupka M.: Multimodal Neuroelectric Interface Development. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 11(2):199-204, 2003.
• Rosipal R., Trejo L.J.: Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space. Journal of Machine Learning Research, 2(Dec):97-123, 2001.
• Rosipal R., Girolami M.: An Expectation-Maximization Approach to Nonlinear Component Analysis. Neural Computation, 13(3):505-510,2001.