Maia Angelova

Maia Angelova

Deakin University

H-index: 20

Oceania-Australia

About Maia Angelova

Maia Angelova, With an exceptional h-index of 20 and a recent h-index of 15 (since 2020), a distinguished researcher at Deakin University, specializes in the field of Data Science, Network Physiology, Complexity, Machine Learning, Biomathematics.

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

Time‐domain heart rate variability features for automatic congestive heart failure prediction

Non-invasive blood glucose monitoring technology in diabetes management

An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering

Building Blocks Driven Self-Adaptation in Ant Colony Optimisation

Modelling host population support for combat adversaries

Evidence-and data-driven classification of low back pain via artificial intelligence: Protocol of the PREDICT-LBP study

Towards data-driven biopsychosocial classification of non-specific chronic low back pain: a pilot study

Friend or foe’and decision making initiative in complex conflict environments

Maia Angelova Information

University

Position

Professor of Data Analytics and Machine Learning

Citations(all)

1317

Citations(since 2020)

840

Cited By

692

hIndex(all)

20

hIndex(since 2020)

15

i10Index(all)

34

i10Index(since 2020)

25

Email

University Profile Page

Deakin University

Google Scholar

View Google Scholar Profile

Maia Angelova Skills & Research Interests

Data Science

Network Physiology

Complexity

Machine Learning

Biomathematics

Top articles of Maia Angelova

Title

Journal

Author(s)

Publication Date

Time‐domain heart rate variability features for automatic congestive heart failure prediction

ESC Heart Failure

Jeban Chandir Moses

Sasan Adibi

Maia Angelova

Sheikh Mohammed Shariful Islam

2023/11/27

Non-invasive blood glucose monitoring technology in diabetes management

Jeban Chandir Moses

Sasan Adibi

Nilmini Wickramasinghe

Lemai Nguyen

Maia Angelova

...

2024

An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering

Baojie Zhang

Yang Cao

Ye Zhu

Sutharshan Rajasegarar

Gang Liu

...

2023/5/25

Building Blocks Driven Self-Adaptation in Ant Colony Optimisation

Jyotheesh Gaddam

Jan Carlo Barca

Thanh Thi Nguyen

Maia Angelova

2023/8/29

Modelling host population support for combat adversaries

Journal of the Operational Research Society

Mathew Zuparic

Sergiy Shelyag

Maia Angelova

Ye Zhu

Alexander Kalloniatis

2023/3/4

Evidence-and data-driven classification of low back pain via artificial intelligence: Protocol of the PREDICT-LBP study

Plos one

Daniel L Belavy

Scott D Tagliaferri

Martin Tegenthoff

Elena Enax-Krumova

Lara Schlaffke

...

2023/8/21

Towards data-driven biopsychosocial classification of non-specific chronic low back pain: a pilot study

Scientific Reports

Scott D Tagliaferri

Patrick J Owen

Clint T Miller

Maia Angelova

Bernadette M Fitzgibbon

...

2023/8/12

Friend or foe’and decision making initiative in complex conflict environments

Plos one

Mathew Zuparic

Sergiy Shelyag

Maia Angelova

Ye Zhu

Alexander Kalloniatis

2023/2/6

Grammatical Evolution with Adaptive Building Blocks for Traffic Light Control

Jyotheesh Gaddam

Jan Carlo Barca

Thanh Thi Nguyen

Maia Angelova

2023/7/1

Sleep Patterns of Adults with Chronic Insomnia and their Bed Partners During the Weekdays and on Weekends Using Actigraphy Data.

Sunita Rani

Sergiy Shelyag

Maia Angelova

2023/1/30

Frailty Syndrome as a Transition from Compensation to Decompensation: Application to the Biomechanical Regulation of Gait

International Journal of Environmental Research and Public Health

Lesli Álvarez-Millán

Daniel Castillo-Castillo

Rosa Quispe-Siccha

Argelia Pérez-Pacheco

Maia Angelova

...

2023/5/30

Clustering-enhanced stock price prediction using deep learning

World wide web

Man Li

Ye Zhu

Yuxin Shen

Maia Angelova

2023/1

Patterns of sedentary behaviour in adults with acute insomnia derived from actigraphy data

Plos one

Sunita Rani

Sergiy Shelyag

Maia Angelova

2023/9/21

Numerical exploration of the effect of diabetes on the ultradian oscillations in the glucose-insulin system

AC Bridgewater

B Huard

Maia Angelova Turkedjieva

2022/11/23

Weighted dynamic time warping for traffic flow clustering

Neurocomputing

Man Li

Ye Zhu

Taige Zhao

Maia Angelova

2022/2/1

Selection of building blocks for adaptive grammatical evolution in pso

Jyotheesh Gaddam

Jan Carlo Barca

Richard Dazeley

Maia Angelova

2022/10/4

Differentiating Acute from Chronic Insomnia with Machine Learning from Actigraphy Time Series Data

Frontiers in Network Physiology

S Rani

Sergiy Shelyag

C Karmakar

Ye Zhu

R Fossion

...

2022/11/28

Chronic back pain sub-grouped via psychosocial, brain and physical factors using machine learning

Scientific reports

Scott D Tagliaferri

Tim Wilkin

Maia Angelova

Bernadette M Fitzgibbon

Patrick J Owen

...

2022/9/7

Hierarchical clustering that takes advantage of both density-peak and density-connectivity

Information Systems

Ye Zhu

Kai Ming Ting

Yuan Jin

Maia Angelova

2021/8/28

Smart home technology solutions for cardiovascular diseases: a systematic review

Jeban Chandir Moses

Sasan Adibi

Maia Angelova

Sheikh Mohammed Shariful Islam

2022/5/27

See List of Professors in Maia Angelova University(Deakin University)

Co-Authors

H-index: 46
Ahmed Bouridane

Ahmed Bouridane

Northumbria University

H-index: 43
Kai Ming Ting

Kai Ming Ting

Nanjing University

H-index: 41
Paul Gastin

Paul Gastin

La Trobe University

H-index: 39
Mois Ilia Aroyo

Mois Ilia Aroyo

Universidad del País Vasco

H-index: 39
Jason G Ellis

Jason G Ellis

Northumbria University

H-index: 30
Sergiy Shelyag

Sergiy Shelyag

Deakin University

academic-engine