ProfessorsProfessors of University of ExeterDmitry Kangin

Dmitry Kangin

University of Exeter

H-index: 11

Europe-United Kingdom

About Dmitry Kangin

Dmitry Kangin, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Exeter, specializes in the field of Interpretable Machine Learning, Reinforcement Learning, Neural Networks, Autonomous Control, Machine Vision.

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

On Neuron Activation Pattern and Applications

Unsupervised Domain Adaptation within Deep Foundation Latent Spaces

Towards interpretable-by-design deep learning algorithms

Interpretable-through-prototypes deepfake detection for diffusion models

Imbedding deep neural networks

Temporarily retracted: Reconsidering the Roman workshop: using computer vision to analyse the making of ancient inscriptions

Skilful precipitation nowcasting using deep generative models of radar

A review of radar-based nowcasting of precipitation and applicable machine learning techniques

Dmitry Kangin Information

University	University of Exeter
Position	___
Citations(all)	991
Citations(since 2020)	863
Cited By	240
hIndex(all)	11
hIndex(since 2020)	10
i10Index(all)	11
i10Index(since 2020)	10
Email	Access Email
University Profile Page	University of Exeter
Google Scholar	View Google Scholar Profile

Dmitry Kangin Skills & Research Interests

Interpretable Machine Learning

Reinforcement Learning

Neural Networks

Autonomous Control

Machine Vision

Top articles of Dmitry Kangin

Title	Journal	Author(s)	Publication Date
On Neuron Activation Pattern and Applications	Authorea Preprints	Ziping Jiang Plamen Angelov Dmitry Kangin Zhaonian Zhang Richard Jiang	2024/1/2
Unsupervised Domain Adaptation within Deep Foundation Latent Spaces	arXiv preprint arXiv:2402.14976	Dmitry Kangin Plamen Angelov	2024/2/22
Towards interpretable-by-design deep learning algorithms	arXiv preprint arXiv:2311.11396	Plamen Angelov Dmitry Kangin Ziyang Zhang	2023/11/19
Interpretable-through-prototypes deepfake detection for diffusion models		Agil Aghasanli Dmitry Kangin Plamen Angelov	2023
Imbedding deep neural networks		Andrew Corbett Dmitry Kangin	2021/10/6
Temporarily retracted: Reconsidering the Roman workshop: using computer vision to analyse the making of ancient inscriptions	Umanistica Digitale	Charlotte Tupman Dmitry Kangin Jacqueline Christmas	2021/9/23
Skilful precipitation nowcasting using deep generative models of radar	Nature	Suman Ravuri Karel Lenc Matthew Willson Dmitry Kangin Remi Lam ...	2021/9
A review of radar-based nowcasting of precipitation and applicable machine learning techniques		Rachel Prudden Samantha Adams Dmitry Kangin Niall Robinson Suman Ravuri ...	2020/5/11
Reconsidering the Roman Workshop: using machine learning to examine the processes behind inscribed texts		Charlotte Tupman Jacqueline Christmas Dmitry Kangin	2020/1/1