Maia Angelova

According to our database, Maia Angelova authored at least 38 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Winning With Chaos in Association Football: Spatiotemporal Event Distribution Randomness Metric for Team Performance Evaluation.

Ishara Bandara, Sergiy Shelyag, Sutharshan Rajasegarar, Dan Dwyer, Eun-Jin Kim, Maia Angelova

IEEE Access, 2024

Time-Series Analysis of Ball Carrier Open-Space in Association Football.

Ishara Bandara, Sergiy Shelyag, Sutharshan Rajasegarar, Daniel B. Dwyer, Eun-Jin Kim, Maia Angelova

Proceedings of the Sports Analytics - First International Conference, 2024

Job-Profile Matching with CTN and MADRL with GEABB: A Recommender System.

Jyotheesh Gaddam, Jan Carlo Barca, Thanh Thi Nguyen, Maia Angelova

Proceedings of the 16th International Conference on Computer and Automation Engineering, 2024

2023

Modelling host population support for combat adversaries.

Mathew Zuparic, Sergiy Shelyag, Maia Angelova, Ye Zhu, Alexander C. Kalloniatis

J. Oper. Res. Soc., March, 2023

Clustering-enhanced stock price prediction using deep learning.

Man Li, Ye Zhu, Yuxin Shen, Maia Angelova

World Wide Web (WWW), January, 2023

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

Baojie Zhang, Yang Cao, Ye Zhu, Sutharshan Rajasegarar, Gang Liu, Hong Xian Li, Maia Angelova, Gang Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Grammatical Evolution with Adaptive Building Blocks for Traffic Light Control.

Jyotheesh Gaddam, Jan Carlo Barca, Thanh Thi Nguyen, Maia Angelova

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

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

Proceedings of the 2023 Australasian Computer Science Week, 2023

2022

Smartphone as a Disease Screening Tool: A Systematic Review.

Jeban Chandir Moses, Sasan Adibi, Nilmini Wickramasinghe, Lemai Nguyen, Maia Angelova, Sheikh Mohammed Shariful Islam

Sensors, 2022

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

Ye Zhu, Kai Ming Ting, Yuan Jin, Maia Angelova

Inf. Syst., 2022

Weighted dynamic time warping for traffic flow clustering.

Man Li, Ye Zhu, Taige Zhao, Maia Angelova

Neurocomputing, 2022

2021

CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities.

Ye Zhu, Kai Ming Ting, Mark J. Carman, Maia Angelova

Pattern Recognit., 2021

Adversarial decision strategies in multiple network phased oscillators: The Blue-Green-Red Kuramoto-Sakaguchi model.

Mathew Zuparic, Maia Angelova, Ye Zhu, Alexander C. Kalloniatis

Commun. Nonlinear Sci. Numer. Simul., 2021

Global stability and periodicity in a glucose-insulin regulation model with a single delay.

Maia Angelova, Gleb Beliakov, Anatoli Ivanov, Sergiy Shelyag

Commun. Nonlinear Sci. Numer. Simul., 2021

Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms.

Emran Ali, Radhagayathri K. Udhayakumar, Maia Angelova, Chandan K. Karmakar

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews.

Scott D. Tagliaferri, Maia Angelova, Xiaohui Zhao, Patrick J. Owen, Clint T. Miller, Tim Wilkin, Daniel L. Belavy

npj Digit. Medicine, 2020

Amplitude and Frequency Variation in Nonlinear Glucose Dynamics with Multiple Delays via Periodic Perturbation.

Adam Bridgewater, Benoît Huard, Maia Angelova

J. Nonlinear Sci., 2020

Density estimates on the unit simplex and calculation of the mode of a sample.

Maia Angelova, Gleb Beliakov, Sergiy Shelyag, Ye Zhu

Int. J. Intell. Syst., 2020

Machine Learning Enabled Team Performance Analysis in the Dynamical Environment of Soccer.

Shitanshu Kusmakar, Sergiy Shelyag, Ye Zhu, Dan Dwyer, Paul B. Gastin, Maia Angelova

IEEE Access, 2020

Automated Method for Detecting Acute Insomnia Using Multi-Night Actigraphy Data.

Maia Angelova, Chandan K. Karmakar, Ye Zhu, Sean P. A. Drummond, Jason Ellis

IEEE Access, 2020

2019

Density-based clustering using approximate natural neighbours.

Maia Angelova, Gleb Beliakov, Ye Zhu

Appl. Soft Comput., 2019

Investigation of Complexity and Regulatory Role of Physiological Activities During a Pacing Exercise.

Maia Angelova, Sergiy Shelyag, Sutharshan Rajasegarar, Dineshen Chuckravanen, Sujan Rajbhandari, Paul B. Gastin, Alan St Clair Gibson

IEEE Access, 2019

Design & Development of IoT Based Rehabilitation Outdoor Landscape for Gait Phase Recognition.

Anuroop Gaddam, Tim Wilkin, Maia Angelova, Alvin C. Valera, Jacqueline McIntosh, Bruno Marques

Proceedings of the 13th International Conference on Sensing Technology, 2019

Anomaly Detection Models for Detecting Sensor Faults and Outliers in the IoT - A Survey.

Anuroop Gaddam, Tim Wilkin, Maia Angelova

Proceedings of the 13th International Conference on Sensing Technology, 2019

2018

CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets.

Ye Zhu, Kai Ming Ting, Mark J. Carman, Maia Angelova

CoRR, 2018

User Activity Pattern Analysis in Telecare Data.

Maia Angelova, Jeremy Ellman, Helen Gibson, Paul Oman, Sutharshan Rajasegarar, Ye Zhu

IEEE Access, 2018

A Distance Scaling Method to Improve Density-Based Clustering.

Ye Zhu, Kai Ming Ting, Maia Angelova

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2015

Investigation of stability in a two-delay model of the ultradian oscillations in glucose-insulin regulation.

Benoît Huard, Jonathan F. Easton, Maia Angelova

Commun. Nonlinear Sci. Numer. Simul., 2015

2014

Risk factors and prediction of very short term versus short/intermediate term post-stroke mortality: A data mining approach.

Jonathan F. Easton, Christopher R. Stephens, Maia Angelova

Comput. Biol. Medicine, 2014

2013

Validation of Artificial Neural Network Model for Share Price UK Banking Sector Short-Term Trading.

Emil Turkedjiev, Maia Angelova, Krishna Busawon

Proceedings of the 15th International Conference on Computer Modelling and Simulation, 2013

HACDB: Handwritten Arabic characters database for automatic character recognition.

Ahmed Lawgali, Maia Angelova, Ahmed Bouridane

Proceedings of the European Workshop on Visual Information Processing, 2013

A Framework for Density Weighted Kernel Fuzzy c-Means on Gene Expression Data.

Yu Wang, Maia Angelova, Yang Zhang

Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, 2013

2012

Adaptive 'soft' sliding block decoding of convolutional code using the artificial neural network.

Sujan Rajbhandari, Zabih Ghassemlooy, Maia Angelova

Trans. Emerg. Telecommun. Technol., 2012

Modelling techniques for analysis of human activity patterns.

Philip Holloway, Alan St. Clair Gibson, David Lee, Estelle Lambert, Maia Angelova, Sara Lombardo, Jason Ellis, Laurie H. G. Rauch

Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

Generalized net model for telehealth services.

Velin Andonov, Maria Stefanova-Pavlova, Todor Stoyanov, Maia Angelova, Glenda Cook, Barbara Klein, Krassimir T. Atanassov, Peter Vassilev

Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

2011

Automatic segmentation for Arabic characters in handwriting documents.

Ahmed Lawgali, Ahmed Bouridane, Maia Angelova, Zabih Ghassemlooy

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

A study of discrete wavelet transform based denoising to reduce the effect of artificial light interferences for indoor optical wireless communication.

Sujan Rajbhandari, Zabih Ghassemlooy, Maia Angelova

Proceedings of the 7th International Symposium on Communication Systems Networks and Digital Signal Processing, 2010

2006

Targeted projection pursuit for visualizing gene expression data classifications.

Joe Faith, Robert Mintram, Maia Angelova

Bioinform., 2006