Uncertainty in perception and the Hierarchical Gaussian Filter CD Mathys, EI Lomakina, J Daunizeau, S Iglesias, KH Brodersen, ... Frontiers in human neuroscience 8, 825, 2014 | 467 | 2014 |
Support vector machine regression (SVR/LS-SVM)—an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR … RM Balabin, EI Lomakina Analyst 136 (8), 1703-1712, 2011 | 466 | 2011 |
Gasoline classification using near infrared (NIR) spectroscopy data: Comparison of multivariate techniques RM Balabin, RZ Safieva, EI Lomakina Analytica Chimica Acta 671 (1-2), 27-35, 2010 | 360 | 2010 |
Comparison of linear and nonlinear calibration models based on near infrared (NIR) spectroscopy data for gasoline properties prediction RM Balabin, RZ Safieva, EI Lomakina Chemometrics and intelligent laboratory systems 88 (2), 183-188, 2007 | 336 | 2007 |
Neural network (ANN) approach to biodiesel analysis: Analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy RM Balabin, EI Lomakina, RZ Safieva Fuel 90 (5), 2007-2015, 2011 | 288 | 2011 |
Inferring on the intentions of others by hierarchical Bayesian learning AO Diaconescu, C Mathys, LAE Weber, J Daunizeau, L Kasper, ... PLoS computational biology 10 (9), e1003810, 2014 | 232 | 2014 |
Support vector machine regression (LS-SVM)—an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data? RM Balabin, EI Lomakina Physical Chemistry Chemical Physics 13 (24), 11710-11718, 2011 | 230 | 2011 |
Neural network approach to quantum-chemistry data: Accurate prediction of density functional theory energies RM Balabin, EI Lomakina The journal of chemical physics 131 (7), 2009 | 214 | 2009 |
Decoding the perception of pain from fMRI using multivariate pattern analysis KH Brodersen, K Wiech, EI Lomakina, C Lin, JM Buhmann, U Bingel, ... Neuroimage 63 (3), 1162-1170, 2012 | 204 | 2012 |
Generative embedding for model-based classification of fMRI data KH Brodersen, TM Schofield, AP Leff, CS Ong, EI Lomakina, JM Buhmann, ... PLoS computational biology 7 (6), e1002079, 2011 | 196 | 2011 |
Regression DCM for fMRI S Frässle, EI Lomakina, A Razi, KJ Friston, JM Buhmann, KE Stephan NeuroImage 155, 406-421, 2017 | 168 | 2017 |
Near-infrared (NIR) spectroscopy for motor oil classification: From discriminant analysis to support vector machines RM Balabin, RZ Safieva, EI Lomakina Microchemical Journal 98 (1), 121-128, 2011 | 167 | 2011 |
Wavelet neural network (WNN) approach for calibration model building based on gasoline near infrared (NIR) spectra RM Balabin, RZ Safieva, EI Lomakina Chemometrics and Intelligent Laboratory Systems 93 (1), 58-62, 2008 | 155 | 2008 |
Asphaltene adsorption onto an iron surface: combined near-infrared (NIR), Raman, and AFM study of the kinetics, thermodynamics, and layer structure RM Balabin, RZ Syunyaev, T Schmid, J Stadler, EI Lomakina, R Zenobi Energy & Fuels 25 (1), 189-196, 2011 | 127 | 2011 |
TAPAS: an open-source software package for translational neuromodeling and computational psychiatry S Frässle, EA Aponte, S Bollmann, KH Brodersen, CT Do, OK Harrison, ... Frontiers in psychiatry 12, 680811, 2021 | 116 | 2021 |
A generative model of whole-brain effective connectivity S Frässle, EI Lomakina, L Kasper, ZM Manjaly, A Leff, KP Pruessmann, ... Neuroimage 179, 505-529, 2018 | 105 | 2018 |
Universal technique for optimization of neural network training parameters: gasoline near infrared data example RM Balabin, RZ Safieva, EI Lomakina Neural Computing and Applications 18, 557-565, 2009 | 28 | 2009 |
Inversion of hierarchical Bayesian models using Gaussian processes EI Lomakina, S Paliwal, AO Diaconescu, KH Brodersen, EA Aponte, ... Neuroimage 118, 133-145, 2015 | 14 | 2015 |
Machine learning in neuroimaging: methodological investigations and applications to fMRI E Lomakina-Rumyantseva ETH Zurich, 2015 | 3 | 2015 |
Video tracking and behaviour segmentation of laboratory rodents E Lomakina-Rumyantseva, P Voronin, D Kropotov, D Vetrov, A Konushin Pattern Recognition and Image Analysis 19, 616-622, 2009 | 2 | 2009 |