Ekaterina Lomakina
Ekaterina Lomakina
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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
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
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
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
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
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
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
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
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
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
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
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
Regression DCM for fMRI
S Frässle, EI Lomakina, A Razi, KJ Friston, JM Buhmann, KE Stephan
NeuroImage 155, 406-421, 2017
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
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
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
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
Inversion of hierarchical Bayesian models using Gaussian processes
EI Lomakina, S Paliwal, AO Diaconescu, KH Brodersen, EA Aponte, ...
Neuroimage 118, 133-145, 2015
Correction: Inferring on the Intentions of Others by Hierarchical Bayesian Learning
AO Diaconescu, C Mathys, LAE Weber, J Daunizeau, L Kasper, ...
PLoS Computational Biology 10 (10), e1003952, 2014
Machine learning in neuroimaging: methodological investigations and applications to fMRI
E Lomakina-Rumyantseva
ETH Zurich, 2015
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