Targeted projection pursuit for visualizing gene expression data classifications. - Joe Faith; Robert Mintram; Maia Angelova (Bioinform., 2006)

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 (CSNDSP, 2010)

Automatic segmentation for Arabic characters in handwriting documents. - Ahmed Lawgali; Ahmed Bouridane; Maia Angelova; Zabih Ghassemlooy (ICIP, 2011)

Generalized net model for telehealth services. - Velin Andonov; Maria Stefanova-Pavlova; Todor Stoyanov; Maia Angelova; Glenda Cook; Barbara Klein; Krassimir T. Atanassov; Peter Vassilev (IEEE Conf. of Intelligent Systems, 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 (IEEE Conf. of Intelligent Systems, 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)

A Framework for Density Weighted Kernel Fuzzy c-Means on Gene Expression Data. - Yu Wang; Maia Angelova; Yang Zhang 002 (BIC-TA, 2013)

HACDB: Handwritten Arabic characters database for automatic character recognition. - Ahmed Lawgali; Maia Angelova; Ahmed Bouridane (EUVIP, 2013)

Validation of Artificial Neural Network Model for Share Price UK Banking Sector Short-Term Trading. - Emil Turkedjiev; Maia Angelova; Krishna Busawon (UKSim, 2013)

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)

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)

A Distance Scaling Method to Improve Density-Based Clustering. - Ye Zhu 002; Kai Ming Ting; Maia Angelova (PAKDD (3), 2018)

User Activity Pattern Analysis in Telecare Data. - Maia Angelova; Jeremy Ellman; Helen Gibson; Paul Oman 001; Sutharshan Rajasegarar; Ye Zhu 002 (IEEE Access, 2018)

CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets. - Ye Zhu 002; Kai Ming Ting; Mark J. Carman; Maia Angelova (CoRR, 2018)

Anomaly Detection Models for Detecting Sensor Faults and Outliers in the IoT - A Survey. - Anuroop Gaddam; Tim Wilkin 001; Maia Angelova (ICST, 2019)

Design & Development of IoT Based Rehabilitation Outdoor Landscape for Gait Phase Recognition. - Anuroop Gaddam; Tim Wilkin 001; Maia Angelova; Alvin C. Valera; Jacqueline McIntosh; Bruno Marques 001 (ICST, 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)

Density-based clustering using approximate natural neighbours. - Maia Angelova; Gleb Beliakov; Ye Zhu 002 (Appl. Soft Comput., 2019)

Automated Method for Detecting Acute Insomnia Using Multi-Night Actigraphy Data. - Maia Angelova; Chandan K. Karmakar; Ye Zhu 002; Sean P. A. Drummond; Jason Ellis (IEEE Access, 2020)

Machine Learning Enabled Team Performance Analysis in the Dynamical Environment of Soccer. - Shitanshu Kusmakar; Sergiy Shelyag; Ye Zhu 002; Dan Dwyer; Paul B. Gastin; Maia Angelova (IEEE Access, 2020)

Density estimates on the unit simplex and calculation of the mode of a sample. - Maia Angelova; Gleb Beliakov; Sergiy Shelyag; Ye Zhu 002 (Int. J. Intell. Syst., 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)

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 001; Daniel L. Belavy (npj Digit. Medicine, 2020)

Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms. - Emran Ali; Radhagayathri K. Udhayakumar; Maia Angelova; Chandan K. Karmakar (EMBC, 2021)

Global stability and periodicity in a glucose-insulin regulation model with a single delay. - Maia Angelova; Gleb Beliakov; Anatoli F. Ivanov; Sergiy Shelyag (Commun. Nonlinear Sci. Numer. Simul., 2021)

Adversarial decision strategies in multiple network phased oscillators: The Blue-Green-Red Kuramoto-Sakaguchi model. - Mathew Zuparic; Maia Angelova; Ye Zhu 002; Alexander C. Kalloniatis (Commun. Nonlinear Sci. Numer. Simul., 2021)

CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities. - Ye Zhu 002; Kai Ming Ting; Mark J. Carman; Maia Angelova (Pattern Recognit., 2021)

Weighted dynamic time warping for traffic flow clustering. - Man Li; Ye Zhu 002; Taige Zhao; Maia Angelova (Neurocomputing, 2022)

Hierarchical clustering that takes advantage of both density-peak and density-connectivity. - Ye Zhu 002; Kai Ming Ting; Yuan Jin; Maia Angelova (Inf. Syst., 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)

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 (ACSW, 2023)

Grammatical Evolution with Adaptive Building Blocks for Traffic Light Control. - Jyotheesh Gaddam; Jan Carlo Barca; Thanh Thi Nguyen; Maia Angelova (CEC, 2023)

An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering. - Baojie Zhang; Yang Cao 019; Ye Zhu 002; Sutharshan Rajasegarar; Gang Liu 021; Hong Xian Li; Maia Angelova; Gang Li 009 (PAKDD (1), 2023)

Clustering-enhanced stock price prediction using deep learning. - Man Li; Ye Zhu 002; Yuxin Shen; Maia Angelova (World Wide Web (WWW), 2023)

Modelling host population support for combat adversaries. - Mathew Zuparic; Sergiy Shelyag; Maia Angelova; Ye Zhu 002; Alexander C. Kalloniatis (J. Oper. Res. Soc., 2023)

Job-Profile Matching with CTN and MADRL with GEABB: A Recommender System. - Jyotheesh Gaddam; Jan Carlo Barca; Thanh Thi Nguyen; Maia Angelova (ICCAE, 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 (ISACE, 2024)

Gold Price Forecasting in Uncertain Times: Integrating Sentiment Analysis and External Indices. - Dat Le; Sutharshan Rajasegarar; Wei Luo 001; Thanh Thi Nguyen; Maia Angelova (ISCMI, 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)

Large Language Model and Variational Autoencoder Based Deep Neural Framework for Cyber Attack Detection. - Zhi Liu; Jyotheesh Gaddam; Shuo Huang; Ishara Bandara; Ming Liu 028; Sutharshan Rajasegarar; Muneeb Ul Hassan 001; Luxing Yang; Gang Li 009; Maia Angelova (PAKDD (4), 2025)

A robust and generalized framework in diabetes classification across heterogeneous environments. - Hejia Zhou; Saifur Rahman 002; Maia Angelova; Clinton R. Bruce; Chandan K. Karmakar (Comput. Biol. Medicine, 2025)

Time-Series Analysis of Ball Carrier Open-Space (BCOS) in Association Football. - Ishara Bandara; Sergiy Shelyag; Sutharshan Rajasegarar; Daniel B. Dwyer; Eunjin Kim; Maia Angelova (SN Comput. Sci., 2025)