Maia Angelova (M Angelova)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Venues

PloS one

Royal Society open science

Scientific reports

International journal of environmental research and public health

Deakin University - Melbourne Burwood Campus

Sofia University Saint Kliment Ohridski (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Deakin University - Melbourne Burwood Campus Jan 07 2017

Australia

Professor of Data Analytics and Machine Learning, Director of Data to Intelligence Research Centre, Leader of Data Analytics Research Lab :: School of IT

Northumbria University Jan 04 1997 - Dec 31 2016

United Kingdom

Professor of Mathematical Physics :: Mathematics, Physics and Electrical Engineering

Education History

Sofia University Saint Kliment Ohridski Sep 15 1983 - Feb 15 1988

Bulgaria

PHD :: Faculty of Physics

Sofia University Saint Kliment Ohridski Sep 15 1981 - Jun 30 1982

Bulgaria

MSC :: Faculty of Physics

Sofia University Saint Kliment Ohridski Oct 01 1976 - Jun 30 1981

Bulgaria

BSC :: Faculty of Physics

Publications

Emran Ali, Maia Angelova, Chandan K Karmakar
Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectives. Royal Society open science 11 (5) (2024)
Emran Ali, Maia Angelova, Chandan K Karmakar
Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectives. Royal Society open science 11 (5) (2024)
Lesli Álvarez-Millán, Daniel Castillo-Castillo, Rosa Quispe-Siccha, Argelia Pérez-Pacheco, Maia Angelova, Jesús Rivera-Sánchez, Ruben Fossion
Frailty Syndrome as a Transition from Compensation to Decompensation: Application to the Biomechanical Regulation of Gait. International journal of environmental research and public health 20 (11) (2023)
Mathew Zuparic, Sergiy Shelyag, Maia Angelova, Ye Zhu, Alexander Kalloniatis
`Friend or foe' and decision making initiative in complex conflict environments. PloS one 18 (2) (2023)
Scott D Tagliaferri, Patrick J Owen, Clint T Miller, Maia Angelova, Bernadette M Fitzgibbon, Tim Wilkin, Hugo Masse-Alarie, Jessica Van Oosterwijck, Guy Trudel, David Connell, Anna Taylor, Daniel Ludovic Belavy
Towards data-driven biopsychosocial classification of non-specific chronic low back pain: a pilot study. Scientific reports 13 (1) (2023)
Daniel Ludovic Belavy, Scott D Tagliaferri, Martin Tegenthoff, Elena Enax-Krumova, Lara Schlaffke, Björn Bühring, Tobias L Schulte, Sein Schmidt, Hans-Joachim Wilke, Maia Angelova, Guy Trudel, Katja Ehrenbrusthoff, Bernadette Fitzgibbon, Jessica Van Oosterwijck, Clint T Miller, Patrick J Owen, Steven Bowe, Rebekka Döding, Svenja Kaczorowski
Evidence- and data-driven classification of low back pain via artificial intelligence: Protocol of the PREDICT-LBP study. PloS one 18 (8) (2023)
Mathew Zuparic, Sergiy Shelyag, Maia Angelova, Ye Zhu, Alexander Kalloniatis
`Friend or foe' and decision making initiative in complex conflict environments. PloS one 18 (2) (2023)
Mathew Zuparic, Sergiy Shelyag, Maia Angelova, Ye Zhu, Alexander Kalloniatis
`Friend or foe' and decision making initiative in complex conflict environments. PloS one 18 (2) (2023)
Jeban Chandir Moses, Sasan Adibi, Nilmini Wickramasinghe, Lemai Nguyen, Maia Angelova, Sheikh Mohammed Shariful Islam
Smartphone as a Disease Screening Tool: A Systematic Review. Sensors (Basel, Switzerland) 22 (10) (2022)
Scott D Tagliaferri, Tim Wilkin, Maia Angelova, Bernadette M Fitzgibbon, Patrick J Owen, Clint T Miller, Daniel Ludovic Belavy
Chronic back pain sub-grouped via psychosocial, brain and physical factors using machine learning. Scientific reports 12 (1) (2022)
S Kusmakar, C Karmakar, Y Zhu, S Shelyag, S P A Drummond, J G Ellis, Maia Angelova
A machine learning model for multi-night actigraphic detection of chronic insomnia: development and validation of a pre-screening tool. Royal Society open science 8 (6) (2021)
Laura M S de Jong, Paul B Gastin, Maia Angelova, Lyndell Bruce, Dan B Dwyer
Technical determinants of success in professional women's soccer: A wider range of variables reveals new insights. PloS one 15 (10) (2020)
Scott D Tagliaferri, Maia Angelova, Xiaohui Zhao, Patrick J Owen, Clint T Miller, Tim Wilkin, Daniel L Belavy
Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews. NPJ digital medicine 3 (2020)
E Haspolat, B Huard, Maia Angelova
Deterministic and Stochastic Models of Arabidopsis thaliana Flowering. Bulletin of mathematical biology 81 (1) (2018)

Maia Angelova.css-eqlu8i{font-size:small;padding-left:4px;} (M Angelova)

Publication Activity (10 Years)

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Maia Angelova (M Angelova)