Home>People>Roman Rosipal, Chief Technology Officer
	Office: Pacific Development and Technology, LLC 999 Commercial Street, Suite 205, Palo Alto, Ca 94303 E-mail: rrosipal@pacdel.com Telephone: +1-650-320-8841 (USA); +421-2-44253363 (Europe) Research in the area of applied statistics, machine learning and biomedical engineering · Multivariate data analysis and latent variable regression · Classification and dimensionality reduction methods · Dynamic Bayesian Networks for data fusion · Nonlinear kernel learning & support vector machines · Electrophysiological data analysis (EEG,EOG, EMG, ECG); event-related potentials · Sleep process modeling; study of cognitive fatigue; brain-computer interfaces; vigilance, drowsiness and fatigue monitoring · Information theory; complexity measures 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. abstract Rosipal R. Kernel Partial Least Squares for Nonlinear Regression and Discrimination. Neural Network World, 13(3):291-300, 2003. abstract 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. abstract 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. abstract Rosipal R., Girolami M., Trejo L.J., Cichocki A. Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression. Neural Computing & Applications, 10(3):231-243, 2001. Note : There is an error in eq.(13) in the published paper. The error does not affect other parts of the paper. You can download corrected version here. abstract Rosipal R., Girolami M. An Expectation-Maximization Approach to Nonlinear Component Analysis. Neural Computation, 13(3):505-510, 2001. abstract Rosipal R., Dorffner G., Trenker E. Can ICA improve sleep-spindles detection? Neural Network World, 8(5):539-547, 1998. abstract Rosipal R., Koska M., Farkas I. Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network. Neural Processing Letters, 7(3):185-197,1998. abstract 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, pp. 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, pp. 129-170, 2005. Fyfe C., MacDonald D., Lai P.L., Rosipal R., Charles D. Unsupervised learning using radial kernels. In Radial Basis Function Networks 1: Recent Developments in Theory and Applications, Howlett R.J., Jain L.C., Kacprzyk J. (eds.), Physica-Verlag, pp. 193-218, 2001. Koska M., Rosipal R., König A., Trejo L.J. Estimation of human signal detection performance from event-related potentials using feed-forward neural network model. In Computer Intensive Methods in Control and Signal Processing: The Curse of Dimensionality, Warwick K., Karny M. (eds.), Birkhauser, pp. 271-282, 1997. abstract 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. abstract, talk Trejo L.J., Knuth K., Prado R., Rosipal R., Kubitz K.,Kochavi R., Matthews B., Zhang Y. EEG-based Estimation of Mental Fatigue: Convergent Evidence for a Three-State 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. 201-211, 2007. abstract, talk Trejo L.J., Kochavi R., Kubitz K., Montgomery L.D., Rosipal R., Matthews B. Measures and models for predicting cognitive fatigue. In Proceedings of SPIE Vol. 5797: Biomonitoring for Physiological and Cognitive Performance During Military Operations, Caldwell J.A., Wesensten N.J. (eds.), SPIE Defense & Security Symposium, Orlando, FL, pp. 105-115, 2005. abstract Wallerius J., Trejo L.J., Matthews R., Rosipal R., and Caldwell J.A. Robust feature extraction and classification of EEG spectra for real-time classification of cognitive state. In Proceedings of 11th International Conference on Human Computer Interaction, Las Vegas, NV, 2005. abstract Rosipal R., Trejo L.J., Matthews B., Wheeler K. Nonlinear Kernel-Based Chemometric Tools: a Machine Learning Approach. In PLS and Related Methods, Proceedings of the PLS'03 International Symposium, Lisbon, Portugal, Decisia, pp. 249-260, 2003. abstract 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'03), Washington DC, pp. 640-647, 2003. abstract, talk Rosipal R., Girolami M., Trejo L.J. Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal Detection Task. In Artificial Neural Networks in Medicine and Biology (ANNIMAB-1), Göteborg, Sweden, Springer, pp. 321-326, 2000. abstract Barros A.K., Rosipal R., Girolami M., Dorffner G., Ohnishi N. Extraction of Sleep-Spindles from the Electroencephalogram (EEG). In Artificial Neural Networks in Medicine and Biology (ANNIMAB-1), Göteborg, Sweden, Springer, pp. 125-130, 2000. abstract Rosipal R., Girolami M. An Adaptive Support Vector Regression Filter: A Signal Detection Application. In International Conference on Artificial Neural Networks (ICANN'99), Edinburgh, Scotland, vol 2, pp. 603-607, 1999. abstract Rosipal R., Koska M., Farkas I. Chaotic time-series prediction using resource-allocating RBF networks. In Proceedings of Conference Measurement '97, Smolenice, Slovakia, 1997. abstract Rosipal R., Trejo L.J., Wheeler K. Kernel PLS Smoothing for Nonparametric Regression Curve Fitting: an Application to Event Related Potentials. Working Paper, NASA Ames Research Center, Moffett Field, CA, August 2003. abstract Rosipal R. Kernel-Based Regression and Objective Nonlinear Measures to Assess Brain Functioning. PhD thesis, Computing and Information Systems, University of Paisley, Paisley, September 2001. abstract Hope A., Rosipal R. Measuring Depth of Anesthesia using Electroencephalogram Entropy Rates. Working Paper, Computing and Information Systems, University of Paisley, Paisley, June 2001. abstract Rosipal R., Trejo L.J. Kernel Partial Least Squares Regression in RKHS. Technical Report no.14, Department of Computing and Information Systems, University of Paisley, March 2001. (see Journal of Machine Learning Research paper) Rosipal R.,Girolami M., Trejo L.J. On Kernel Principal Component Regression with Covariance Inflation Criterion for Model Selection. Technical Report no.13, Department of Computing and Information Systems, University of Paisley, March 2001. abstract Rosipal R., Trejo L.J., Cichocki A. Kernel Principal Component Regression with EM Approach to Nonlinear Principal Components Extraction. Technical Report no.12, Department of Computing and Information Systems, University of Paisley, November 2000 (revised April 2001). abstract Rosipal R., Girolami M., Trejo L.J. Kernel PCA for Feature Extraction and De-Noising in Non-linear Regression. Technical Report no.4, Department of Computing and Information Systems, University of Paisley, February 2000. (see Neural Computing & Applications paper) Rosipal R. Non-linear time-series analysis. Master thesis, Comenius University, Bratislava, 1999. Rosipal R., Dorffner G. Independent Component Analysis for sleep-spindles detection using an Extended Infomax Algorithm and Fixed-point Algorithm. Technical Report, Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, 1998. abstract Rosipal R. Relation analysis in stochastic systems. Master thesis, Czech Technical University, Prague, 1993. Rosipal R., Peters B., Kecklund G., Åkerstedt T., Gruber G., Woertz M., Anderer P., Dorffner G. Probabilistic framework for EEG-based drowsiness and vigilance monitoring. talk at Monitoring sleep and sleepiness with new sensors within medical and industrial applications, (the SENSATION 2nd International Conference), Crete, Greece, 2007. abstract Rosipal R., Neubauer S., Anderer P., Gruber G., Parapatics S., Woertz M., Dorffner G. A continuous probabilistic approach to sleep and daytime sleepiness modeling. poster presented at The 18th Congress of the European Sleep Research Society (ESRS'06), Innsbruck, Austria, P299, 2006. Woertz M., Anderer P., Gruber G., Parapatics S., Rosipal R., Saletu B., Dorffner G. Agreement of apnea-hypopnea indexes based on visual and automatic detection. poster presented at The 18th Congress of the European Sleep Research Society (ESRS'06), Innsbruck, Austria, P244, 2006. Dorffner G. , Rosipal R., Neubauer S., Gruber G., Anderer P. Sleep quality in healthy subjects - What can PSG really tell us? talk at International Conference on Monitoring Sleep and Sleepiness - from Physiology to New Sensors, (the SENSATION 1st International Conference), Basel, Switzerland, 2006. Rosipal R., Neubauer S., Anderer P., Gruber G., Parapatics S., Woertz M., Dorffner G. A hierarchical Gaussian mixture model for continuous high-resolution sleep analysis. talk at International Conference on Monitoring Sleep and Sleepiness - from Physiology to New Sensors, (the SENSATION 1st International Conference), Basel, Switzerland, 2006. Woertz M., Gruber G., Parapatics S., Anderer P., Miazhynskaia T., Rosipal R., Saletu B., Dorffner G. Automatic sleep apnea detection and its application in patients of the siesta database – adaptation night effects. poster presented at The 13th German Sleep Society Annual Meeting (DGSM'05), Berlin, Germany, P41, 2005. Woertz M., Gruber G., Parapatics S., Anderer P., Miazhynskaia T., Rosipal R., Saletu B., Dorffner G.. Automatic sleep apnea detection: analysis of apnea distribution with respect to sleep stages, depending on the severity of sleep apnea. poster presented at The First Congress of the World Association of Sleep Medicine (WASM'05), Berlin, Germany, P083, 2005. Trejo L.J., Matthews B., Rosipal R. 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. poster presented at Brain-Computer Interface Technology. Third International Meeting, Rensselaerville, NY, 2005. (see IEEE Transactions on Neural Systems and Rehabilitation Engineering 2006 paper) Rosipal R. Overview and some aspects of Partial Least Squares. Invited talk at Subspace, Latent Structure and Feature Selection techniques: Statistical and Optimisation perspectives Workshop, Bohinj, Slovenia, 2005. abstract Trejo L.J., Kochavi R., Kubitz K, Montgomery L.D., Rosipal R., Matthews B. Measures and Models for Estimating and Predicting Cognitive Fatigue. poster presented at 44th Society for Psychophysiological Research Annual Meeting (SPR'04), Santa Fe, NM, 2004. Psychophysiology, 41, S86, Suppl. 1, 2004. abstract (see also Proceedings of SPIE Vol. 5797 paper) Rosipal R., Trejo L.J. Kernel PLS Estimation of Single-trial Event-related Potentials. poster presented at 44th Society for Psychophysiological Research Annual Meeting (SPR'04), Santa Fe, NM, 2004. Psychophysiology, 41, S94, Suppl. 1, 2004. abstract Rosipal R., Trejo L.J., Wheeler K., Tino P. Locally Based Kernel PLS Regression De-noising with Application to Event-related Potentials. poster presented at NATO Advanced Study Institute on Learning Theory and Practice, Leuven, Belgium, 2002. (see Kernel PLS Smoothing for Nonparametric Regression Curve Fitting: an Application to Event Related Potentials and SPR'04 poster for more recent work on this topic) Tino P., Sun Y., Nabney I., Kaban A., Rosipal R. Principled Semi-Supervised Construction of Visualization Hierarchies. poster presented at NATO Advanced Study Institute on Learning Theory and Practice, Leuven, Belgium, 2002. Trejo L.J., Wheeler K., Jorgensen C., Rosipal R., Hibbs A. Multimodal Neuroelectric Interface Development. poster presented at The Second International Brain-Computer Interface Workshop, Albany, NY, 2002. (see IEEE Transactions on Neural Systems and Rehabilitation Engineering 2003 paper) [Home][People][Sample Projects][About Us][Contact Us] ©2003, 2008 Pacific Development and Technology, LLC. All rights reserved.