Ekaterina I. Lomakina

Cognitive Neuroscience · 2007–2014

A researcher in the Science corpus: 6 papers; trusts 8 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 12 citations into it
• Analytical Chemistry — 8 citations into it; #497 of 1,254 by trust here, #570 by citations
• Artificial Intelligence — 6 citations into it
• Statistics and Probability — 6 citations into it
• Model Architectures — 5 citations into it

Whom Ekaterina I. Lomakina trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Karl J. Friston
2. Jean Daunizeau
3. John K. Kruschke
4. Richard S. Sutton
5. Eric R. Ziegel
6. Roman M. Balabin
7. Radford M. Neal
8. Peter S. Dayan
9. Nathaniel D. Daw
10. David C. Knill

Who trusts Ekaterina I. Lomakina overall

1. Edward O. Pyzer-Knapp
2. Roman M. Balabin
3. J. Behler
4. Grgoire Montavon
5. J. C. L. Alves
6. Floris P. de Lange

Papers from Ekaterina I. Lomakina's perspective

Ordered by how strongly the researchers Ekaterina I. Lomakina trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. The Helmholtz Machine
3. The Bayesian brain: the role of uncertainty in neural coding and computation. (Trends in Neurosciences)
4. Uncertainty, neuromodulation, and attention. (Neuron)
5. Variational free energy and the Laplace approximation
6. Associative learning of social value
7. Bayesian data analysis.
8. The free-energy principle: a rough guide to the brain?
9. Learning the value of information in an uncertain world
10. A new approach to linear filtering and prediction problems" transaction of the asme~journal of basic

Their papers

• Neural network approach to quantum-chemistry data: accurate prediction of density functional theory energies. (2009) — 162 citations
• Near-infrared (NIR) spectroscopy for motor oil classification: From discriminant analysis to support vector machines (2011) — 119 citations
• Uncertainty in perception and the Hierarchical Gaussian Filter (2014) — 418 citations
• Support vector machine regression (LS-SVM)--an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data? (2011) — 185 citations
• Wavelet neural network (WNN) approach for calibration model building based on gasoline near infrared (NIR) spectra (2008) — 126 citations
• Comparison of linear and nonlinear calibration models based on near infrared (NIR) spectroscopy data for gasoline properties prediction (2007) — 239 citations