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2020 – today
- 2025
[j8]Zuzana Rostáková
, Roman Rosipal, Leonard J. Trejo:
SPECTER - The Signal sPECtrum Tensor decomposition and Eye blink Removal algorithm. Biomed. Signal Process. Control. 99: 106889 (2025)- 2024
- [c10]Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno:
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface. ISWC 2024: 9-16 - [i1]Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno:
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface. CoRR abs/2409.00083 (2024) - 2022
- [j7]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): 14793-14805 (2022) - 2020
- [c9]Zuzana Rostáková, Roman Rosipal, Saman Seifpour:
Tucker Tensor Decomposition of Multi-session EEG Data. ICANN (1) 2020: 115-126
2010 – 2019
- 2019
- [j6]Zuzana Rostáková, Roman Rosipal:
Profiling continuous sleep representations for better understanding of the dynamic character of normal sleep. Artif. Intell. Medicine 97: 152-167 (2019) - 2018
- [c8]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: 39-44 - 2017
- [c7]Zuzana Rost'áková, Georg Dorffner, Önder Aydemir, Roman Rosipal:
Estimation of Sleep Quality by Using Microstructure Profiles. AIME 2017: 105-115 - 2012
- [j5]Achim Lewandowski, Roman Rosipal, Georg Dorffner:
Extracting more information from EEG recordings for a better description of sleep. Comput. Methods Programs Biomed. 108(3): 961-972 (2012)
2000 – 2009
- 2007
- [c6]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: 201-211 - [c5]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: 294-303 - 2005
- [c4]Roman Rosipal, Nicole Krämer:
Overview and Recent Advances in Partial Least Squares. SLSFS 2005: 34-51 - 2003
- [c3]Roman Rosipal, Leonard J. Trejo, Bryan Matthews:
Kernel PLS-SVC for Linear and Nonlinear Classification. ICML 2003: 640-647 - 2001
- [j4]Roman Rosipal, Leonard J. Trejo:
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space. J. Mach. Learn. Res. 2: 97-123 (2001) - [j3]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): 231-243 (2001) - [j2]Roman Rosipal, Mark A. Girolami:
An Expectation-Maximization Approach to Nonlinear Component Analysis. Neural Comput. 13(3): 505-510 (2001) - 2000
- [c2]Allan Kardec Barros, Roman Rosipal, Mark A. Girolami, Georg Dorffner, Noboru Ohnishi:
Extraction of Sleep-Spindles from the Electroencephalogram (EEG). ANNIMAB 2000: 125-130 - [c1]Roman Rosipal, Mark A. Girolami, Leonard J. Trejo:
Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal Detection Performance. ANNIMAB 2000: 321-326
1990 – 1999
- 1998
- [j1]Roman Rosipal, Milos Koska, Igor Farkas:
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network. Neural Process. Lett. 7(3): 185-197 (1998)
Coauthor Index
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