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

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

Building Blocks Driven Self-Adaptation in Ant Colony Optimisation

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

Grammatical Evolution with Adaptive Building Blocks for Traffic Light Control

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

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

Google Scholar

Maia Angelova Skills & Research Interests

Data Science

Network Physiology

Complexity

Machine Learning

Biomathematics

Top articles of Maia Angelova

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

ESC Heart Failure

2023/11/27

Non-invasive blood glucose monitoring technology in diabetes management

2024

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

Plos one

2023/9/21

Building Blocks Driven Self-Adaptation in Ant Colony Optimisation

2023/8/29

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

Plos one

2023/8/21

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

Scientific Reports

2023/8/12

Grammatical Evolution with Adaptive Building Blocks for Traffic Light Control

2023/7/1

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

International Journal of Environmental Research and Public Health

2023/5/30

Maia Angelova
Maia Angelova

H-Index: 11

Ruben Fossion
Ruben Fossion

H-Index: 12

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

2023/5/25

Modelling host population support for combat adversaries

Journal of the Operational Research Society

2023/3/4

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

Plos one

2023/2/6

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

2023/1/30

Clustering-enhanced stock price prediction using deep learning

World wide web

2023/1

Man Li
Man Li

H-Index: 11

Ye Zhu
Ye Zhu

H-Index: 2

Maia Angelova
Maia Angelova

H-Index: 11

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

2022/11/23

Selection of building blocks for adaptive grammatical evolution in pso

2022/10/4

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

Scientific reports

2022/9/7

Smart home technology solutions for cardiovascular diseases: a systematic review

2022/5/27

Smartphone as a disease screening tool: a systematic review

2022/5/16

Weighted dynamic time warping for traffic flow clustering

Neurocomputing

2022/2/1

Man Li
Man Li

H-Index: 11

Ye Zhu
Ye Zhu

H-Index: 2

Maia Angelova
Maia Angelova

H-Index: 11

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

Frontiers in Network Physiology

2022/11/28

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

Co-Authors

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