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Claudia Lainscsek
Claudia Lainscsek
Verified email at salk.edu
Title
Cited by
Cited by
Year
Recognizing facial expression: machine learning and application to spontaneous behavior
MS Bartlett, G Littlewort, M Frank, C Lainscsek, I Fasel, J Movellan
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
9102005
Automatic recognition of facial actions in spontaneous expressions.
MS Bartlett, G Littlewort, MG Frank, C Lainscsek, IR Fasel, JR Movellan
J. Multim. 1 (6), 22-35, 2006
6542006
Fully automatic facial action recognition in spontaneous behavior
MS Bartlett, G Littlewort, M Frank, C Lainscsek, I Fasel, J Movellan
7th International Conference on Automatic Face and Gesture Recognition …, 2006
4192006
Machine learning methods for fully automatic recognition of facial expressions and facial actions
MS Bartlett, G Littlewort, C Lainscsek, I Fasel, J Movellan
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat …, 2004
2132004
A nine-dimensional Lorenz system to study high-dimensional chaos
P Reiterer, C Lainscsek, F Schürrer, C Letellier, J Maquet
Journal of Physics A: Mathematical and General 31 (34), 7121, 1998
801998
Non-linear dynamical analysis of EEG time series distinguishes patients with Parkinson’s disease from healthy individuals
C Lainscsek, ME Hernandez, J Weyhenmeyer, TJ Sejnowski, H Poizner
Frontiers in neurology 4, 64795, 2013
722013
Global modeling of the Rössler system from the z-variable
C Lainscsek, C Letellier, I Gorodnitsky
Physics Letters A 314 (5-6), 409-427, 2003
632003
Finger tapping movements of Parkinson’s disease patients automatically rated using nonlinear delay differential equations
C Lainscsek, P Rowat, L Schettino, D Lee, D Song, C Letellier, H Poizner
Chaos: An Interdisciplinary Journal of Nonlinear Science 22 (1), 2012
582012
Ansatz library for global modeling with a structure selection
CSM Lainscsek, C Letellier, F Schürrer
Physical Review E 64 (1), 016206, 2001
462001
Interpretation of the precision matrix and its application in estimating sparse brain connectivity during sleep spindles from human electrocorticography recordings
A Das, AL Sampson, C Lainscsek, L Muller, W Lin, JC Doyle, SS Cash, ...
Neural computation 29 (3), 603-642, 2017
402017
Cortical chimera states predict epileptic seizures
C Lainscsek, N Rungratsameetaweemana, SS Cash, TJ Sejnowski
Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (12), 2019
372019
Electrocardiogram classification using delay differential equations
C Lainscsek, TJ Sejnowski
Chaos: An Interdisciplinary Journal of Nonlinear Science 23 (2), 2013
362013
Delay differential analysis of time series
C Lainscsek, TJ Sejnowski
Neural computation 27 (3), 594-614, 2015
322015
Non-linear dynamical classification of short time series of the Rössler system in high noise regimes
C Lainscsek, J Weyhenmeyer, ME Hernandez, H Poizner, TJ Sejnowski
Frontiers in neurology 4, 63950, 2013
302013
A class of Lorenz-like systems
C Lainscsek
Chaos: An Interdisciplinary Journal of Nonlinear Science 22 (1), 2012
272012
Nonlinear dynamics underlying sensory processing dysfunction in schizophrenia
C Lainscsek, AL Sampson, R Kim, ML Thomas, K Man, X Lainscsek, ...
Proceedings of the National Academy of Sciences 116 (9), 3847-3852, 2019
252019
Nonuniqueness of global modeling and time scaling
C Lainscsek
Physical review E 84 (4), 046205, 2011
232011
Identification of nonlinear oscillator models for speech analysis and synthesis
G Kubin, C Lainscsek, E Rank
International School on Neural Networks, Initiated by IIASS and EMFCSC, 74-113, 2004
222004
Delay differential analysis of seizures in multichannel electrocorticography data
C Lainscsek, J Weyhenmeyer, SS Cash, TJ Sejnowski
Neural computation 29 (12), 3181-3218, 2017
142017
A general form for global dynamical data models for three-dimensional systems
CSM Lainscsek, F Schürrer, JB Kadtke
International Journal of Bifurcation and Chaos 8 (05), 899-914, 1998
141998
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Articles 1–20