| An affective computing approach to physiological emotion specificity: Toward subject‐independent and stimulus‐independent classification of film‐induced emotions V Kolodyazhniy, SD Kreibig, JJ Gross, WT Roth, FH Wilhelm Psychophysiology 48 (7), 908-922, 2011 | 111 | 2011 |
| An adaptive learning algorithm for a neuro-fuzzy network Y Bodyanskiy, V Kolodyazhniy, A Stephan International Conference on Computational Intelligence, 68-75, 2001 | 71* | 2001 |
| An adaptive learning algorithm for a neo fuzzy neuron. Y Bodyanskiy, I Kokshenev, V Kolodyazhniy EUSFLAT Conf., 375-379, 2003 | 59 | 2003 |
| A new learning algorithm for a forecasting neuro-fuzzy network P Otto, Y Bodyanskiy, V Kolodyazhniy Integrated Computer-Aided Engineering 10 (4), 399-409, 2003 | 54 | 2003 |
| Estimation of human circadian phase via a multi-channel ambulatory monitoring system and a multiple regression model V Kolodyazhniy, J Späti, S Frey, T Götz, A Wirz-Justice, K Kräuchi, ... Journal of biological rhythms 26 (1), 55-67, 2011 | 50 | 2011 |
| An improved method for estimating human circadian phase derived from multichannel ambulatory monitoring and artificial neural networks V Kolodyazhniy, J Späti, S Frey, T Götz, A Wirz-Justice, K Kräuchi, ... Chronobiology International 29 (8), 1078-1097, 2012 | 41 | 2012 |
| Pre‐to postsleep change in psychophysiological reactivity to emotional films: Late‐night REM sleep is associated with attenuated emotional processing GG Werner, M Schabus, J Blechert, V Kolodyazhniy, FH Wilhelm Psychophysiology 52 (6), 813-825, 2015 | 39 | 2015 |
| Neuro-fuzzy Kolmogorov’s network for time series prediction and pattern classification Y Bodyanskiy, V Kolodyazhniy, P Otto Annual Conference on Artificial Intelligence, 191-202, 2005 | 32 | 2005 |
| New recursive learning algorithms for fuzzy Kohonen clustering network Y Gorshkov, V Kolodyazhniy, Y Bodyanskiy Proc. 17th Int. Workshop on Nonlinear Dynamics of Electronic Systems, 58-61, 2009 | 31 | 2009 |
| Fuzzy Kolmogorov’s network V Kolodyazhniy, Y Bodyanskiy International Conference on Knowledge-Based and Intelligent Information and …, 2004 | 28 | 2004 |
| Recursive fuzzy clustering algorithms Y Bodyanskiy, V Kolodyazhniy, A Stephan Proc. 10th East West Fuzzy Colloquium, 276-283, 2002 | 26 | 2002 |
| Differential impact in young and older individuals of blue-enriched white light on circadian physiology and alertness during sustained wakefulness V Gabel, CF Reichert, M Maire, C Schmidt, LJM Schlangen, ... Scientific reports 7 (1), 1-13, 2017 | 24 | 2017 |
| Insights into Behavioral Vulnerability to Differential Sleep Pressure and Circadian Phase from a Functional ADA Polymorphism CF Reichert, M Maire, V Gabel, AU Viola, V Kolodyazhniy, W Strobel, ... Journal of Biological Rhythms 29 (2), 119-130, 2014 | 23 | 2014 |
| Universal approximator employing neo-fuzzy neurons V Kolodyazhniy, Y Bodyanskiy, P Otto Computational Intelligence, Theory and Applications, 631-640, 2005 | 23 | 2005 |
| Attend or defend? Sex differences in behavioral, autonomic, and respiratory response patterns to emotion–eliciting films FH Wilhelm, JA Rattel, M Wegerer, M Liedlgruber, S Schweighofer, ... Biological psychology 130, 30-40, 2017 | 22 | 2017 |
| Cascaded multiresolution spline-based fuzzy neural network V Kolodyazhniy, Y Bodyanskiy, P Angela, D Filev, N Kasabov Proc. Int. Symp. on Evolving Intelligent Systems, 26-29, 2010 | 15 | 2010 |
| Neuro-fuzzy Kolmogorov’s network Y Bodyanskiy, Y Gorshkov, V Kolodyazhniy, V Poyedyntseva International Conference on Artificial Neural Networks, 1-6, 2005 | 15 | 2005 |
| A neuro-fuzzy model for dimensionality reduction and its application V Kolodyazhniy, F Klawonn, K Tschumitschew International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2007 | 13 | 2007 |
| Robust recursive fuzzy clustering-based segmentation of biological time series Y Gorshkov, I Kokshenev, Y Bodyanskiy, V Kolodyazhniy, O Shylo 2006 International Symposium on Evolving Fuzzy Systems, 101-105, 2006 | 13 | 2006 |
| Neuro-fuzzy Kolmogorov's network with a modified perceptron learning rule for classification problems V Kolodyazhniy, Y Bodyanskiy, V Poyedyntseva, A Stephan Computational Intelligence, Theory and Applications, 41-49, 2006 | 12 | 2006 |
