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2020 – today
- 2025
[j23]Hejia Zhou
, Saifur Rahman, Maia Angelova, Clinton R. Bruce, Chandan K. Karmakar:
A robust and generalized framework in diabetes classification across heterogeneous environments. Comput. Biol. Medicine 186: 109720 (2025)- [j22]Ishara Bandara, Sergiy Shelyag, Sutharshan Rajasegarar, Daniel B. Dwyer, Eunjin Kim, Maia Angelova:
Time-Series Analysis of Ball Carrier Open-Space (BCOS) in Association Football. SN Comput. Sci. 6(4): 302 (2025) - [c19]Ishara Bandara, Sergiy Shelyag, Sutharshan Rajasegarar, Daniel B. Dwyer, Eunjin Kim, Maia Angelova:
Fractal Analysis of Ball Movement Maps for Team Performance Evaluation in Association Football. ISACE 2025: 1-17 - [c18]Zhi Liu, Jyotheesh Gaddam, Shuo Huang, Ishara Bandara, Ming Liu, Sutharshan Rajasegarar, Muneeb Ul Hassan, Luxing Yang, Gang Li, Maia Angelova:
Large Language Model and Variational Autoencoder Based Deep Neural Framework for Cyber Attack Detection. PAKDD (4) 2025: 91-102 - 2024
- [j21]Ishara Bandara, Sergiy Shelyag, Sutharshan Rajasegarar, Dan Dwyer, Eun-Jin Kim, Maia Angelova:
Winning With Chaos in Association Football: Spatiotemporal Event Distribution Randomness Metric for Team Performance Evaluation. IEEE Access 12: 83363-83376 (2024) - [c17]Jyotheesh Gaddam, Jan Carlo Barca, Thanh Thi Nguyen, Maia Angelova:
Job-Profile Matching with CTN and MADRL with GEABB: A Recommender System. ICCAE 2024: 203-210 - [c16]Ishara Bandara, Sergiy Shelyag, Sutharshan Rajasegarar, Daniel B. Dwyer, Eun-Jin Kim, Maia Angelova:
Time-Series Analysis of Ball Carrier Open-Space in Association Football. ISACE 2024: 1-17 - [c15]Dat Le, Sutharshan Rajasegarar, Wei Luo, Thanh Thi Nguyen, Maia Angelova:
Gold Price Forecasting in Uncertain Times: Integrating Sentiment Analysis and External Indices. ISCMI 2024: 211-215 - 2023
- [j20]Mathew Zuparic, Sergiy Shelyag, Maia Angelova, Ye Zhu, Alexander C. Kalloniatis:
Modelling host population support for combat adversaries. J. Oper. Res. Soc. 74(3): 928-943 (2023) - [j19]Man Li, Ye Zhu, Yuxin Shen, Maia Angelova:
Clustering-enhanced stock price prediction using deep learning. World Wide Web (WWW) 26(1): 207-232 (2023) - [c14]Sunita Rani, Sergiy Shelyag, Maia Angelova:
Sleep Patterns of Adults with Chronic Insomnia and their Bed Partners During the Weekdays and on Weekends Using Actigraphy Data. ACSW 2023: 222-226 - [c13]Jyotheesh Gaddam, Jan Carlo Barca, Thanh Thi Nguyen, Maia Angelova:
Grammatical Evolution with Adaptive Building Blocks for Traffic Light Control. CEC 2023: 1-10 - [c12]Baojie Zhang, Yang Cao, Ye Zhu, Sutharshan Rajasegarar, Gang Liu, Hong Xian Li, Maia Angelova, Gang Li:
An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering. PAKDD (1) 2023: 197-209 - 2022
- [j18]Man Li, Ye Zhu, Taige Zhao, Maia Angelova:
Weighted dynamic time warping for traffic flow clustering. Neurocomputing 472: 266-279 (2022) - [j17]Ye Zhu, Kai Ming Ting, Yuan Jin, Maia Angelova:
Hierarchical clustering that takes advantage of both density-peak and density-connectivity. Inf. Syst. 103: 101871 (2022) - [j16]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 22(10): 3787 (2022) - 2021
- [j15]Mathew Zuparic, Maia Angelova, Ye Zhu, Alexander C. Kalloniatis:
Adversarial decision strategies in multiple network phased oscillators: The Blue-Green-Red Kuramoto-Sakaguchi model. Commun. Nonlinear Sci. Numer. Simul. 95: 105642 (2021) - [j14]Maia Angelova, Gleb Beliakov, Anatoli F. Ivanov, Sergiy Shelyag:
Global stability and periodicity in a glucose-insulin regulation model with a single delay. Commun. Nonlinear Sci. Numer. Simul. 95: 105659 (2021) - [j13]Ye Zhu, Kai Ming Ting, Mark J. Carman, Maia Angelova:
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities. Pattern Recognit. 117: 107977 (2021) - [c11]Emran Ali, Radhagayathri K. Udhayakumar, Maia Angelova, Chandan K. Karmakar:
Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms. EMBC 2021: 1082-1085 - 2020
- [j12]Maia Angelova, Chandan K. Karmakar, Ye Zhu, Sean P. A. Drummond, Jason Ellis:
Automated Method for Detecting Acute Insomnia Using Multi-Night Actigraphy Data. IEEE Access 8: 74413-74422 (2020) - [j11]Shitanshu Kusmakar, Sergiy Shelyag, Ye Zhu, Dan Dwyer, Paul B. Gastin, Maia Angelova:
Machine Learning Enabled Team Performance Analysis in the Dynamical Environment of Soccer. IEEE Access 8: 90266-90279 (2020) - [j10]Maia Angelova, Gleb Beliakov, Sergiy Shelyag, Ye Zhu:
Density estimates on the unit simplex and calculation of the mode of a sample. Int. J. Intell. Syst. 35(5): 850-868 (2020) - [j9]Adam Bridgewater, Benoît Huard, Maia Angelova:
Amplitude and Frequency Variation in Nonlinear Glucose Dynamics with Multiple Delays via Periodic Perturbation. J. Nonlinear Sci. 30(3): 737-766 (2020) - [j8]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 Digit. Medicine 3 (2020)
2010 – 2019
- 2019
- [j7]Maia Angelova, Sergiy Shelyag, Sutharshan Rajasegarar, Dineshen Chuckravanen, Sujan Rajbhandari, Paul B. Gastin, Alan St Clair Gibson:
Investigation of Complexity and Regulatory Role of Physiological Activities During a Pacing Exercise. IEEE Access 7: 152334-152346 (2019) - [j6]Maia Angelova, Gleb Beliakov, Ye Zhu:
Density-based clustering using approximate natural neighbours. Appl. Soft Comput. 85 (2019) - [c10]Anuroop Gaddam, Tim Wilkin, Maia Angelova:
Anomaly Detection Models for Detecting Sensor Faults and Outliers in the IoT - A Survey. ICST 2019: 1-6 - [c9]Anuroop Gaddam, Tim Wilkin, Maia Angelova, Alvin C. Valera, Jacqueline McIntosh, Bruno Marques:
Design & Development of IoT Based Rehabilitation Outdoor Landscape for Gait Phase Recognition. ICST 2019: 1-7 - 2018
- [j5]Maia Angelova, Jeremy Ellman, Helen Gibson, Paul Oman, Sutharshan Rajasegarar, Ye Zhu:
User Activity Pattern Analysis in Telecare Data. IEEE Access 6: 33306-33317 (2018) - [c8]Ye Zhu, Kai Ming Ting, Maia Angelova:
A Distance Scaling Method to Improve Density-Based Clustering. PAKDD (3) 2018: 389-400 - [i2]Ye Zhu, Kai Ming Ting, Mark J. Carman, Maia Angelova:
CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets. CoRR abs/1810.02897 (2018) - [i1]Ye Zhu, Kai Ming Ting, Yuan Jin, Maia Angelova:
Hierarchical clustering that takes advantage of both density-peak and density-connectivity. CoRR abs/1810.03393 (2018) - 2015
- [j4]Benoît Huard, Jonathan F. Easton, Maia Angelova:
Investigation of stability in a two-delay model of the ultradian oscillations in glucose-insulin regulation. Commun. Nonlinear Sci. Numer. Simul. 26(Issues): 211-222 (2015) - 2014
- [j3]Jonathan F. Easton, Christopher R. Stephens, Maia Angelova:
Risk factors and prediction of very short term versus short/intermediate term post-stroke mortality: A data mining approach. Comput. Biol. Medicine 54: 199-210 (2014) - 2013
- [c7]Yu Wang, Maia Angelova, Yang Zhang:
A Framework for Density Weighted Kernel Fuzzy c-Means on Gene Expression Data. BIC-TA 2013: 453-461 - [c6]Ahmed Lawgali, Maia Angelova, Ahmed Bouridane:
HACDB: Handwritten Arabic characters database for automatic character recognition. EUVIP 2013: 255-259 - [c5]Emil Turkedjiev, Maia Angelova, Krishna Busawon:
Validation of Artificial Neural Network Model for Share Price UK Banking Sector Short-Term Trading. UKSim 2013: 6-11 - 2012
- [j2]Sujan Rajbhandari, Zabih Ghassemlooy, Maia Angelova:
Adaptive 'soft' sliding block decoding of convolutional code using the artificial neural network. Trans. Emerg. Telecommun. Technol. 23(7): 672-677 (2012) - [c4]Velin Andonov, Maria Stefanova-Pavlova, Todor Stoyanov, Maia Angelova, Glenda Cook, Barbara Klein, Krassimir T. Atanassov, Peter Vassilev:
Generalized net model for telehealth services. IEEE Conf. of Intelligent Systems 2012: 221-224 - [c3]Philip Holloway, Alan St. Clair Gibson, David Lee, Estelle Lambert, Maia Angelova, Sara Lombardo, Jason Ellis, Laurie H. G. Rauch:
Modelling techniques for analysis of human activity patterns. IEEE Conf. of Intelligent Systems 2012: 275-280 - 2011
- [c2]Ahmed Lawgali, Ahmed Bouridane, Maia Angelova, Zabih Ghassemlooy:
Automatic segmentation for Arabic characters in handwriting documents. ICIP 2011: 3529-3532 - 2010
- [c1]Sujan Rajbhandari, Zabih Ghassemlooy, Maia Angelova:
A study of discrete wavelet transform based denoising to reduce the effect of artificial light interferences for indoor optical wireless communication. CSNDSP 2010: 610-614
2000 – 2009
- 2006
- [j1]Joe Faith, Robert Mintram, Maia Angelova:
Targeted projection pursuit for visualizing gene expression data classifications. Bioinform. 22(21): 2667-2673 (2006)
Coauthor Index
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