Roman Rosipal

发表

Extraction of Sleep-Spindles from the Electroencephalogram (EEG)

Allan Kardec Barros, Roman Rosipal, Mark Girolami, 2000, ANNIMAB.

Handbook of Geometric Computing : Applications in Pattern Recognition

Nello Cristianini, Roman Rosipal, T De Bie, 2005 .

Overview and Recent Advances in Partial Least Squares

Roman Rosipal, Nicole Krämer, R. Rosipal, 2005, SLSFS.

Extracting more information from EEG recordings for a better description of sleep

Roman Rosipal, Georg Dorffner, Achim Lewandowski, 2012, Comput. Methods Programs Biomed..

Estimation of Human Signal Detection Performance From Event-Related Potentials Using Feed-Forward Ne

Roman Rosipal, A. Konig, Miloš Koska, 1997 .

Locally-Based Kernal PLS Smoothing to Non-Parametric Regression Curve Fitting

Roman Rosipal, Kevin R. Wheeler, Leonard J. Trejo, 2002 .

Eigenproblems in Pattern Recognition

Tijl De Bie, Nello Cristianini, Roman Rosipal, 2005 .

Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network

Roman Rosipal, Igor Farkas, Milos Koska, 1998, Neural Processing Letters.

Kernel PLS-SVC for Linear and Nonlinear Classification

Roman Rosipal, Bryan Matthews, Leonard J. Trejo, 2003, ICML.

Atomic Decomposition of EEG for Mapping Cortical Activation

Roman Rosipal, Eran Zaidel, Leonardo Jose Trejo, 2013 .

Profiling continuous sleep representations for better understanding of the dynamic character of normal sleep

Roman Rosipal, Zuzana Rostáková, R. Rosipal, 2019, Artif. Intell. Medicine.

Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression

Andrzej Cichocki, Roman Rosipal, Mark A. Girolami, 2001, Neural Computing & Applications.

Multimodal Neuroelectric Interface Development: A Survey of Research at NASA Ames Research Center

Roman Rosipal, Leonard J. Trejo, Robert Matthews, 2002 .

Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal Detection Performance

Roman Rosipal, Mark Girolami, Leonard J. Trejo, 2000, ANNIMAB.

Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space

Roman Rosipal, Leonard J. Trejo, L. Trejo, 2002, J. Mach. Learn. Res..

EEG-Based Drivers' Drowsiness Monitoring Using a Hierarchical Gaussian Mixture Model

Roman Rosipal, Georg Dorffner, Torbjörn Åkerstedt, 2007, HCI.

EEG-Based Estimation of Mental Fatigue: Convergent Evidence for a Three-State Model

Roman Rosipal, Yuzheng Zhang, Bryan Matthews, 2007, HCI.

An Expectation-Maximization Approach to Nonlinear Component Analysis

Roman Rosipal, Mark A. Girolami, M. Girolami, 2001, Neural Computation.

Measures and Models for Estimating and Predicting Cognitive Fatigue

Roman Rosipal, Leonard J. Trejo, Leslie D. Montgomery, 2004 .

Nonlinear Kernel-Based Chemometric Tools : a Machine Learning Approach

Roman Rosipal, Leonard J Trejo, L. Trejo, 2005 .

19th biennial IPEG Meeting

Asbjørn Mohr Drewes, Vitoantonio Bevilacqua, Roshan Cools, 2016 .

In search of objective components for sleep quality indexing in normal sleep☆

Roman Rosipal, Georg Dorffner, Achim Lewandowski, 2013, Biological Psychology.

Measuring Depth of Anesthesia using Electroencephalogram Entropy Rates

Roman Rosipal, R. Rosipal, Alan T Hope, 2022 .

Locally Based Kernel PLS Regression De-noising with Application to Event-Related Potentials

Roman Rosipal, Peter Tino, Leonard J. Trejo, 2002 .

Can Ica Improve Sleep-spindles Detection ?

Roman Rosipal, Georg Dorrner, Ernst Trenker, .