ProfessorsProfessors of University of Bedfordshirevitaly schetinin

vitaly schetinin

University of Bedfordshire

H-index: 22

Europe-United Kingdom

About vitaly schetinin

vitaly schetinin, With an exceptional h-index of 22 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Bedfordshire, specializes in the field of Machine Learning, Deep Neural Networks (GMDH type), Bayesian Learning, Markov chain Monte Carlo.

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

The Batch Primary Components Transformer and Auto-Plasticity Learning Linear Units Architecture: Synthetic Image Generation Case

Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction

Review of machine learning approach on credit card fraud detection

Gratitude and Good Outcomes: Rediscovering Positivity and Perspective in an Uncertain Time

Deep neural-network prediction for study of informational efficiency

Deep learning for early detection of pathological changes in x-ray bone microstructures: case of osteoarthritis

Gmdh-type neural networks for predicting financial time series: A study of informational efficiency of stock markets

Quantitative imaging for early detection of osteoarthritis

vitaly schetinin Information

University	University of Bedfordshire
Position	Senior Lecturer in Machine Learnig
Citations(all)	1116
Citations(since 2020)	629
Cited By	667
hIndex(all)	22
hIndex(since 2020)	15
i10Index(all)	35
i10Index(since 2020)	22
Email	Access Email
University Profile Page	University of Bedfordshire
Google Scholar	View Google Scholar Profile

vitaly schetinin Skills & Research Interests

Machine Learning

Deep Neural Networks (GMDH type)

Bayesian Learning

Markov chain Monte Carlo

Top articles of vitaly schetinin

Title	Journal	Author(s)	Publication Date
The Batch Primary Components Transformer and Auto-Plasticity Learning Linear Units Architecture: Synthetic Image Generation Case		Stanislav Selitskiy Chihiro Inoue Vitaly Schetinin Livija Jakaite	2023/11/21
Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction	Artificial Intelligence in Medicine	Livija Jakaite Vitaly Schetinin	2023/9/1
Review of machine learning approach on credit card fraud detection		Rejwan Bin Sulaiman Vitaly Schetinin Paul Sant	2022/6
Gratitude and Good Outcomes: Rediscovering Positivity and Perspective in an Uncertain Time	World Journal of Surgery	Sergey Minaev Vitaly Schetinin Igor Kirgizov Alina Grigorova Michael Akselrov ...	2022/4
Deep neural-network prediction for study of informational efficiency		Rejwan Bin Sulaiman Vitaly Schetinin	2022
Deep learning for early detection of pathological changes in x-ray bone microstructures: case of osteoarthritis	Scientific Reports	Livija Jakaite Vitaly Schetinin Jiří Hladůvka Sergey Minaev Aziz Ambia ...	2021/1/27
Gmdh-type neural networks for predicting financial time series: A study of informational efficiency of stock markets		L Jakaite M Ciemny Stanislav Selitskiy Vitaly Schetinin	2021/11/9
Quantitative imaging for early detection of osteoarthritis		Vitaly Schetinin	2020/7/9
Deep learning for biometric face recognition: experimental study on benchmark data sets	Deep Biometrics	Natalya Selitskaya Stanislaw Sielicki Livia Jakaite Vitaly Schetinin F Evans ...	2020