23 results on '"Lomakina, Ekaterina I."'
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2. Regression DCM for fMRI
3. Decoding the perception of pain from fMRI using multivariate pattern analysis
4. Near-infrared (NIR) spectroscopy for motor oil classification: From discriminant analysis to support vector machines
5. Neural network (ANN) approach to biodiesel analysis: Analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy
6. Gasoline classification using near infrared (NIR) spectroscopy data: Comparison of multivariate techniques
7. TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry
8. Wavelet neural network (WNN) approach for calibration model building based on gasoline near infrared (NIR) spectra
9. Universal technique for optimization of neural network training parameters: gasoline near infrared data example
10. Comparison of linear and nonlinear calibration models based on near infrared (NIR) spectroscopy data for gasoline properties prediction
11. Inversion of hierarchical Bayesian models using Gaussian processes
12. Neural network approach to quantum-chemistry data: Accurate prediction of density functional theory energies.
13. Inferring on the intentions of others by hierarchical bayesian learning
14. Correction: Inferring on the Intentions of Others by Hierarchical Bayesian Learning
15. Inversion of hierarchical Bayesian models using Gaussian processes
16. Uncertainty in perception and the Hierarchical Gaussian Filter
17. Generative Embedding for Model-Based Classification of fMRI Data
18. Support vector machine regression (SVR/LS-SVM)—an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data
19. Support vector machine regression (LS-SVM)—an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data?
20. Asphaltene Adsorption onto an Iron Surface: Combined Near-Infrared (NIR), Raman, and AFM Study of the Kinetics, Thermodynamics, and Layer Structure
21. Universal technique for optimization of neural network training parameters: gasoline near infrared data example
22. Asphaltene Adsorption onto an Iron Surface: Combined Near-Infrared (NIR), Raman, and AFM Study of the Kinetics, Thermodynamics, and Layer Structure.
23. Inferring on the intentions of others by hierarchical Bayesian learning.
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