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

Trejo L.J., Rosipal R., Moore A., Lujan B., Kosheleff A., Ereshefsky L., Owen R., Vlasuk G.
A Randomized, Double-Blind, Placebo-Controlled Study of the Effects of Two Sequential Doses of NV-5138/SPN-820 on Quantitative Electroencephalography in Healthy Adult Males.
PsyArXiv, submitted 2021.
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

Teplan M., Bajla I., Rosipal R., Rusnak M.
Feature clustering of intracranial pressure time-series for an alarm function estimation in traumatic brain injury.
Physiological Measurement, 38(11):2015-2043, 2017.
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

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.
abstract

Lewandowski A., Rosipal R., Dorffner G.
On the Individuality of Sleep EEG Spectra.
Journal of Psychophysiology, 27(3):105-112, 2013.
abstract

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.
abstract

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 and 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.
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.
abstract

Rosipal R., Kramer 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., Konig 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

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

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 Artificial Neural Networks and Machine Learning (ICANN 2020), Lecture Notes in Computer Science, Springer, Farkas I. et al. (eds.), vol. 12396, pp. 115-126, 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

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

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

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

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

Teplan M., Bajla I., Rosipal R., Rusnak M.
Intracranial Pressure of Patients After Severe Traumatic Brain Injury: A Pilot Study for Lethality Estimation from Time Series.
In Proceedings of YBERC: The Sixth Biomedical Conference of Young Biomedical Engineers and Researchers, Bratislava, Slovakia, pp. 89-92, 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

Rosipal R.
Clustering probabilistic sleep microstate curves: a functional data analysis approach.
In Proceedings of Measurement '13, Manka J., Witkovsky V., Tysler M., Frollo I. (eds.), Smolenice, Slovakia, pp. 101-104, 2013.
abstract

Trejo L.J., Rosipal R., Nunez P.L.
Advanced Physiological Estimation of Cognitive Status.
The 27th Army Science Conference, Orlando, Florida, November 29 - December 2, 2010.
abstract

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.
abstract, talk

Rosipal R., Peters B., Kecklund G., Akerstedt T., Gruber G., Woertz M., Anderer P., Dorffner G.
EEG-based Drivers' Drowsiness Monitoring using a Hierarchical Gaussian Mixture Model.
In Proceedings of the 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 the 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 the 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), Goteborg, 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), Goteborg, Sweden, Springer, pp. 125-130, 2000.
abstract

Rosipal R., Girolami M.
An Adaptive Support Vector Regression Filter: A Signal Detection Application.
In Proceedings of the 9th 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 Measurement '97, Smolenice, Slovakia, pp. 282-285, 1997.
abstract

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., 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

Donello J., Burgdorf J., Bertelsen K., Trejo L.J., Rosipal R., Moskal J., Burch R., Shekhar A.
Zelquistinel (GATE-251): Results of a Phase 1 Single Ascending Dose Study to Evaluate the Safety, Pharmacokinetics, and EEG Effects of a Novel Rapid Acting, Orally-Bioavailable NMDA Receptor Modulator.
poster presented at ACNP 60th Annual Meeting (ACNP 2022), San Juan, Puerto Rico, December 5-8, 2021.
Neuropsychopharmacology, P311, 46:218-368, 2021.

Trejo L.J., Ereshefsky L., Rosipal R., Moore A., Hassman H., Owen R., Vlasuk G.
Randomized Double-Blind, Placebo Controlled Study to Evaluate NV-5138/SPN-820 (NV-5138), an mTORC1 Activator, by Quantitative EEG (QEEG) in Healthy Volunteers, Supports Target Engagement and Translational Strategy.
talk at ASCP Annual Meeting (ASCP 2021), Virtual Conference, June 1-4, 2021.
abstract

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

Rosipal R., Trejo L.J., Rostakova Z, Cimrova B.
Atomic Decomposition of Human EEG Oscillations In Medical Research And Pharmaceutical Trials.
talk at The 20th Biennial IPEG Meeting, Zurich, Switzerland, November 21-25, 2018.
Neuropsychobiology, 77(3):135-136, 2018.

Dorffner G., L. Pichler L., Gruber G., Rostakova Z., Rosipal R.
Sleep architecture in stroke patients compared to healthy individuals.
poster presented at The 24th Congress of the European Sleep Research Society (ESRS'18), Basel, Switzerland, September 25-28, 2018.
Journal of Sleep Research, 27 (Suppl. 1, P473):308-308, 2018.

Rostakova Z., Rosipal R.
Relationship between sleep structure of patients after ischemic stroke and daily measures.
poster presented at The 24th Congress of the European Sleep Research Society (ESRS'18), Basel, Switzerland, September 25-28, 2018.
Journal of Sleep Research, 27 (Suppl. 1, P117):144-145, 2018.

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 The 26th International Conference on Artificial Neural Networks (ICANN17), Alghero, Italy, September 11-14, 2017.
Artificial Neural Networks and Machine Learning - ICANN 2017, Theoretical Computer Science and General Issues, Springer, Lintas A. et al (eds.), vol. 10613, pp. 418-418, 2017.
abstract

Rostakova Z., Rosipal R.
Multilevel Functional Principal Component Analysis for Unbalanced Data.
talk at 20th European Young Statisticians Meeting, Uppsala, Sweden, August 14-18, 2017.
abstract

Rostakova Z., Rosipal R.
Multilevel functional principal components analysis in the case of unbalanced design and small number of subjects.
talk at Olomoucian Days of Applied Mathematics (ODAM 2017), Olomouc, Czech Republic, May 31- June 2, 2017.
abstract

Rosipal R., Trejo L.J., Wallerius J., Apparies R., Cimrova B, Miller J.
Whole-brain time-frequency analysis of event-related potentials for the assessment of pharmacodynamic effects in the human brain.
talk at The 19th Biennial IPEG Meeting, Nijmegen, Holland, October 25-30, 2016.
Neuropsychiatric Electrophysiology, 2 (Suppl. 1):17-17, 2016.

Rostakova Z., Rosipal R., Dorffner G.
Continuous sleep profiles clustering with a novel 2-step functional data approach.
poster presented at The 23rd Congress of the European Sleep Research Society (ESRS'16), Bologna, Italy, September 13-16, 2016.
Journal of Sleep Research, 25 (Suppl. 1, P508):251-251, 2016.

Cimrova B., Rostakova Z., Dolezalova M.V., Rybar J., Igor Farkas I.,Rosipal R.
Linking the quality of sleep and cognitive performance in stroke patients.
poster presented at The 23rd Congress of the European Sleep Research Society (ESRS'16), Bologna, Italy, September 13-16, 2016.
Journal of Sleep Research, 25 (Suppl. 1, P516):253-254, 2016.

Rostakova Z., Rosipal R.
A novel 2-step iterative approach for clustering functional data.
poster presented at The 22nd International Conference on Computational Statistics (COMPSTAT), Oviedo, Spain, August 23-26, 2016.
Book of Abstracts, COMPSTAT 2016, CP0505:61-61, 2016.

Rostakova Z., Rosipal R.
Differences in sleep microstate curves among healthy sleepers and patients after stroke.
poster presented at The 15th European Congress on Clinical Neurophysiology, Brno, Czech Republic, Sept. 30-Oct. 3, 2015.
Clinical Neurophysiology, 127(3), e126, 2016.

Rosipal R., Porubcova N., Barancok P., Cimrova B., Farkas 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.
Clinical Neurophysiology, 127(3), e53, 2016.

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.
abstract

Zaidel E., Rosipal R., Hill A., Fernandes N., Akbarut R., Noh S., Trejo L.J.
Modeling EEG-band Neurofeedback: Modulating Internal States without Conditioning of EEG Sources.
talk at ISNR 21st Annual Conference, Dallas, TX, September 18 - 22, 2013.
abstract

Rosipal R.
Multilevel functional clustering analysis of probabilistic sleep microstate curves.
poster presented at The 5th International Conference of the ERCIM Working Group on Computing & Statistics (ERCIM 2012), Oviedo, Spain, December 1 - 3, 2012.

Rosipal R., Lewandowski A., Dorffner G.
From polysomnography to sleep parameters indexing sleep quality and sleep related physiological and psychometric factors.
talk at The 20th Congress of the European Sleep Research Society (ESRS'10), Lisbon, Portugal, 2010.
Journal of Sleep Research, 19 (Suppl. 2, O290):86-86, 2010.

Lewandowski A., Rosipal R., Dorffner G.
Continuous probabilistic modelling of the sleep process.
poster presented at Complex Dynamics in Large-Scale Interacting Brain Systems: Towards Physical Models of Sleep and Consciousness,
MPIPKS, Dresden, Germany, 2009.
abstract

Rosipal R., Peters B., Kecklund G., Akerstedt 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, 2006.
Journal of Sleep Research, 15 (Suppl. 1, P299):169-169, 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, 2006.
Journal of Sleep Research, 15 (Suppl. 1, P244):169-169, 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.
Somnologie, 51, Suppl. 1, 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.
abstract

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.
(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.

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)

Trejo L.J., Rosipal R., Nunez P.L.
Neurosensory Optimization of Information Transfer (NOIT).
Final Report for Contract No. W911NF-11-C-0081, U.S. Army Research Office, Research Triangle Park, NC, September 2015.
abstract

Trejo L.J., Rosipal R., Nunez P.L.
Advanced Physiological Estimation of Cognitive Status (APECS).
Final Report for Contract No. W911NF-08-C-0121, U.S. Army Research Office, Research Triangle Park, NC, September 2009.
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.