Roman Rosipal

Publication Activity (10 Years)

Years Active: 1998-2022
Publications (10 Years): 5

Top Topics

Tensor Decomposition

Cognitive Functions

Top Venues

Artif. Intell. Medicine

Neural Comput. Appl.

Publications

Zuzana Rostáková, Roman Rosipal
Determination of the number of components in the PARAFAC model with a nonnegative tensor structure: a simulated EEG data study. Neural Comput. Appl. 34 (17) (2022)
Zuzana Rostáková, Roman Rosipal, Saman Seifpour
Tucker Tensor Decomposition of Multi-session EEG Data. ICANN (1) (2020)
Zuzana Rostáková, Roman Rosipal
Profiling continuous sleep representations for better understanding of the dynamic character of normal sleep. Artif. Intell. Medicine 97 (2019)
Stefan Korecko, Marián Hudák, Branislav Sobota, Martin Marko, Barbora Cimrová, Igor Farkas, Roman Rosipal
Assessment and training of visuospatial cognitive functions in virtual reality: proposal and perspective. CogInfoCom (2018)
Zuzana Rost'áková, Georg Dorffner, Önder Aydemir, Roman Rosipal
Estimation of Sleep Quality by Using Microstructure Profiles. AIME (2017)
Achim Lewandowski, Roman Rosipal, Georg Dorffner
Extracting more information from EEG recordings for a better description of sleep. Comput. Methods Programs Biomed. 108 (3) (2012)
Roman Rosipal, Björn Peters, Göran Kecklund, Torbjörn Åkerstedt, Georg Gruber, Michael Woertz, Peter Anderer, Georg Dorffner
EEG-Based Drivers' Drowsiness Monitoring Using a Hierarchical Gaussian Mixture Model. HCI (16) (2007)
Leonard J. Trejo, Kevin H. Knuth, Raquel Prado, Roman Rosipal, Karla Kubitz, Rebekah Kochavi, Bryan Matthews, Yuzheng Zhang
EEG-Based Estimation of Mental Fatigue: Convergent Evidence for a Three-State Model. HCI (16) (2007)
Roman Rosipal, Nicole Krämer
Overview and Recent Advances in Partial Least Squares. SLSFS (2005)
Roman Rosipal, Leonard J. Trejo, Bryan Matthews
Kernel PLS-SVC for Linear and Nonlinear Classification. ICML (2003)
Roman Rosipal, Leonard J. Trejo
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space. J. Mach. Learn. Res. 2 (2001)
Roman Rosipal, Mark A. Girolami
An Expectation-Maximization Approach to Nonlinear Component Analysis. Neural Comput. 13 (3) (2001)
Roman Rosipal, Mark A. Girolami, Leonard J. Trejo, Andrzej Cichocki
Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression. Neural Comput. Appl. 10 (3) (2001)
Roman Rosipal, Mark A. Girolami, Leonard J. Trejo
Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal Detection Performance. ANNIMAB (2000)
Allan Kardec Barros, Roman Rosipal, Mark A. Girolami, Georg Dorffner, Noboru Ohnishi
Extraction of Sleep-Spindles from the Electroencephalogram (EEG). ANNIMAB (2000)
Roman Rosipal, Milos Koska, Igor Farkas
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network. Neural Process. Lett. 7 (3) (1998)