| 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 | 908 | 2005 |
| 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 | 655 | 2006 |
| 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 | 415 | 2006 |
| 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 | 214 | 2004 |
| 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 | 80 | 1998 |
| 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, 200, 2013 | 74 | 2013 |
| 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 | 63 | 2003 |
| 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 | 58 | 2012 |
| Ansatz library for global modeling with a structure selection CSM Lainscsek, C Letellier, F Schürrer Physical Review E 64 (1), 016206, 2001 | 45 | 2001 |
| 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 | 40 | 2017 |
| Cortical chimera states predict epileptic seizures C Lainscsek, N Rungratsameetaweemana, SS Cash, TJ Sejnowski Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (12), 2019 | 37 | 2019 |
| Electrocardiogram classification using delay differential equations C Lainscsek, TJ Sejnowski Chaos: An Interdisciplinary Journal of Nonlinear Science 23 (2), 2013 | 36 | 2013 |
| Delay differential analysis of time series C Lainscsek, TJ Sejnowski Neural computation 27 (3), 594-614, 2015 | 34 | 2015 |
| 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, 182, 2013 | 31 | 2013 |
| A class of Lorenz-like systems C Lainscsek Chaos: An Interdisciplinary Journal of Nonlinear Science 22 (1), 2012 | 27 | 2012 |
| 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 | 26 | 2019 |
| 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 | 22 | 2004 |
| Nonuniqueness of global modeling and time scaling C Lainscsek Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (4 …, 2011 | 20 | 2011 |
| Delay differential analysis of seizures in multichannel electrocorticography data C Lainscsek, J Weyhenmeyer, SS Cash, TJ Sejnowski Neural computation 29 (12), 3181-3218, 2017 | 15 | 2017 |
| Delay differential analysis of electroencephalographic data C Lainscsek, ME Hernandez, H Poizner, TJ Sejnowski Neural computation 27 (3), 615-627, 2015 | 14 | 2015 |
