Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models SS Pappas, L Ekonomou, DC Karamousantas, GE Chatzarakis, ... Energy 33 (9), 1353-1360, 2008 | 335 | 2008 |

Application of convolutional neural networks for automated ulcer detection in wireless capsule endoscopy images H Alaskar, A Hussain, N Al-Aseem, P Liatsis, D Al-Jumeily Sensors 19 (6), 1265, 2019 | 107 | 2019 |

Dynamic Ridge Polynomial Neural Network: Forecasting the univariate non-stationary and stationary trading signals R Ghazali, AJ Hussain, P Liatsis Expert Systems with Applications 38 (4), 3765-3776, 2011 | 82 | 2011 |

Density-driven generalized regression neural networks (DD-GRNN) for function approximation JY Goulermas, P Liatsis, XJ Zeng, P Cook IEEE transactions on neural networks 18 (6), 1683-1696, 2007 | 73 | 2007 |

Simulation of cardiac motion on non-Newtonian, pulsating flow development in the human left anterior descending coronary artery A Theodorakakos, M Gavaises, A Andriotis, A Zifan, P Liatsis, I Pantos, ... Physics in medicine & biology 53 (18), 4875, 2008 | 70 | 2008 |

A robust missing value imputation method for noisy data B Zhu, C He, P Liatsis Applied Intelligence 36 (1), 61-74, 2012 | 69 | 2012 |

Appearance-based statistical methods for face recognition K Delac, M Grgic, P Liatsis 47th International Symposium ELMAR-2005, 151-158, 2005 | 66 | 2005 |

A task scheduling algorithm with improved makespan based on prediction of tasks computation time algorithm for cloud computing BA Al-Maytami, P Fan, A Hussain, T Baker, P Liatsis IEEE Access 7, 160916-160926, 2019 | 56 | 2019 |

A new method of three‐dimensional coronary artery reconstruction from X‐ray angiography: Validation against a virtual phantom and multislice computed tomography A Andriotis, A Zifan, M Gavaises, P Liatsis, I Pantos, A Theodorakakos, ... Catheterization and cardiovascular interventions 71 (1), 28-43, 2008 | 55 | 2008 |

Recurrent pi-sigma networks for DPCM image coding AJ Hussain, P Liatsis Neurocomputing 55 (1-2), 363-382, 2003 | 53 | 2003 |

Analyzing learners behavior in MOOCs: An examination of performance and motivation using a data-driven approach R Al-Shabandar, AJ Hussain, P Liatsis, R Keight IEEE Access 6, 73669-73685, 2018 | 41 | 2018 |

The application of ridge polynomial neural network to multi-step ahead financial time series prediction R Ghazali, AJ Hussain, P Liatsis, H Tawfik Neural Computing and Applications 17, 311-323, 2008 | 39 | 2008 |

An instance-based algorithm with auxiliary similarity information for the estimation of gait kinematics from wearable sensors JY Goulermas, AH Findlow, CJ Nester, P Liatsis, XJ Zeng, LPJ Kenney, ... IEEE transactions on neural networks 19 (9), 1574-1582, 2008 | 38 | 2008 |

A deep gated recurrent neural network for petroleum production forecasting R Al-Shabandar, A Jaddoa, P Liatsis, AJ Hussain Machine Learning with Applications 3, 100013, 2021 | 37 | 2021 |

IoT-enabled flood severity prediction via ensemble machine learning models M Khalaf, H Alaskar, AJ Hussain, T Baker, Z Maamar, R Buyya, P Liatsis, ... IEEE Access 8, 70375-70386, 2020 | 37 | 2020 |

A collective-based adaptive symbiotic model for surface reconstruction in area-based stereo JY Goulermas, P Liatsis IEEE Transactions on Evolutionary Computation 7 (5), 482-502, 2003 | 36 | 2003 |

Development of a neonate lung reconstruction algorithm using a wavelet AMG and estimated boundary form R Bayford, P Kantartzis, A Tizzard, R Yerworth, P Liatsis, ... Physiological measurement 29 (6), S125, 2008 | 35 | 2008 |

A GMDH-based fuzzy modeling approach for constructing TS model B Zhu, CZ He, P Liatsis, XY Li Fuzzy Sets and Systems 189 (1), 19-29, 2012 | 34 | 2012 |

Machine learning in the prediction of cardiac epicardial and mediastinal fat volumes ÉO Rodrigues, VHA Pinheiro, P Liatsis, A Conci Computers in biology and medicine 89, 520-529, 2017 | 32 | 2017 |

Generalized regression neural networks with multiple-bandwidth sharing and hybrid optimization JY Goulermas, XJ Zeng, P Liatsis, JF Ralph IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007 | 32 | 2007 |