Roman Belavkin

Roman Belavkin

Middlesex University

H-index: 14

Europe-United Kingdom

About Roman Belavkin

Roman Belavkin, With an exceptional h-index of 14 and a recent h-index of 7 (since 2020), a distinguished researcher at Middlesex University, specializes in the field of Information Theory, Information Dynamics, Convex Analysis, Information Geometry, Optimal Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Evolutionary Approach to Automated Class-Specific Data Augmentation for Image Classification

The Value of Information and Circular Settings

Value of Information in the Binary Case and Confusion Matrix

Value of Information in the Mean-Square Case and Its Application to the Analysis of Financial Time-Series Forecast

Distilling Financial Models by Symbolic Regression

Information in the presence of noise. Shannon’s amount of information

Computation of entropy for special cases. Entropy of stochastic processes

Asymptotic results about the value of information. Third asymptotic theorem

Roman Belavkin Information

University

Position

Reader in Informatics

Citations(all)

786

Citations(since 2020)

220

Cited By

638

hIndex(all)

14

hIndex(since 2020)

7

i10Index(all)

22

i10Index(since 2020)

5

Email

University Profile Page

Middlesex University

Google Scholar

View Google Scholar Profile

Roman Belavkin Skills & Research Interests

Information Theory

Information Dynamics

Convex Analysis

Information Geometry

Optimal Control

Top articles of Roman Belavkin

Title

Journal

Author(s)

Publication Date

An Evolutionary Approach to Automated Class-Specific Data Augmentation for Image Classification

Silviu Tudor Marc

Roman Belavkin

David Windridge

Xiaohong Gao

2023/9/3

The Value of Information and Circular Settings

arXiv preprint arXiv:2303.16126

Stefan Behringer

Roman V Belavkin

2023/3/28

Value of Information in the Binary Case and Confusion Matrix

Physical Sciences Forum

Roman Belavkin

Panos Pardalos

Jose Principe

2022/11/2

Value of Information in the Mean-Square Case and Its Application to the Analysis of Financial Time-Series Forecast

Roman V Belavkin

Panos Pardalos

Jose Principe

2022/6/5

Distilling Financial Models by Symbolic Regression

Gabriele La Malfa

Emanuele La Malfa

Roman Belavkin

Panos M Pardalos

Giuseppe Nicosia

2021/10/4

Information in the presence of noise. Shannon’s amount of information

Theory of Information and its Value

Ruslan L Stratonovich

Roman V Belavkin

Panos M Pardalos

Jose C Principe

Ruslan L Stratonovich

2020

Computation of entropy for special cases. Entropy of stochastic processes

Theory of Information and its Value

Ruslan L Stratonovich

Roman V Belavkin

Panos M Pardalos

Jose C Principe

Ruslan L Stratonovich

2020

Asymptotic results about the value of information. Third asymptotic theorem

Theory of Information and its Value

Ruslan L Stratonovich

Roman V Belavkin

Panos M Pardalos

Jose C Principe

Ruslan L Stratonovich

2020

Definition of information and entropy in the absence of noise

Theory of Information and its Value

Ruslan L Stratonovich

Roman V Belavkin

Panos M Pardalos

Jose C Principe

Ruslan L Stratonovich

2020

Towards including simple emotions in a cognitive architecture in order to better fit children’s behavior

Roman V Belavkin

Frank E Ritter

David G Elliman

2020/12/22

Message transmission in the presence of noise. Second asymptotic theorem and its various formulations

Theory of Information and its Value

Ruslan L Stratonovich

Roman V Belavkin

Panos M Pardalos

Jose C Principe

Ruslan L Stratonovich

2020

Channel capacity. Important particular cases of channels

Theory of Information and its Value

Ruslan L Stratonovich

Roman V Belavkin

Panos M Pardalos

Jose C Principe

Ruslan L Stratonovich

2020

Encoding of discrete information in the absence of noise and penalties

Roman V Belavkin

Panos M Pardalos

Jose C Principe

Ruslan L Stratonovich

2020/1/15

Information theory and the second law of thermodynamics

Theory of Information and its Value

Ruslan L Stratonovich

Roman V Belavkin

Panos M Pardalos

Jose C Principe

Ruslan L Stratonovich

2020

Value of Shannon’s information for the most important Bayesian systems

Theory of Information and its Value

Ruslan L Stratonovich

Roman V Belavkin

Panos M Pardalos

Jose C Principe

Ruslan L Stratonovich

2020

First asymptotic theorem and related results

Roman V Belavkin

Panos M Pardalos

Jose C Principe

Ruslan L Stratonovich

2020/1/15

Encoding in the presence of penalties. First variational problem

Theory of Information and its Value

Ruslan L Stratonovich

Roman V Belavkin

Panos M Pardalos

Jose C Principe

Ruslan L Stratonovich

2020

Definition of the value of information

Theory of Information and its Value

Ruslan L Stratonovich

Roman V Belavkin

Panos M Pardalos

Jose C Principe

Ruslan L Stratonovich

2020

Correction to: Theory of Information and its Value

Theory of Information and its Value

Ruslan L Stratonovich

Roman V Belavkin

Panos M Pardalos

Jose C Principe

Ruslan L Stratonovich

2020

See List of Professors in Roman Belavkin University(Middlesex University)

Co-Authors

H-index: 36
John Aston

John Aston

University of Cambridge

H-index: 23
Chris Knight

Chris Knight

Manchester University

H-index: 18
Alastair Channon

Alastair Channon

Keele University

H-index: 10
Rok Krašovec

Rok Krašovec

Manchester University

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