Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models SS Pappas, L Ekonomou, DC Karamousantas, GE Chatzarakis, ... Energy 33 (9), 1353-1360, 2008 | 389 | 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 | 163 | 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 | 92 | 2011 |
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 | 91 | 2019 |
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 | 86 | 2021 |
A robust missing value imputation method for noisy data B Zhu, C He, P Liatsis Applied Intelligence 36 (1), 61-74, 2012 | 81 | 2012 |
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 | 77 | 2008 |
Flexible and stretchable electrically conductive polymer materials for physical sensing applications JC Lin, P Liatsis, P Alexandridis Polymer Reviews 63 (1), 67-126, 2023 | 72 | 2023 |
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 | 72 | 2020 |
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 | 72 | 2007 |
Appearance-based statistical methods for face recognition K Delac, M Grgic, P Liatsis 47th International Symposium ELMAR-2005, 151-158, 2005 | 68 | 2005 |
Evidence for strange attractor structures in space plasmas GP Pavlos, GA Kyriakou, AG Rigas, PI Liatsis, PC Trochoutsos, AA Tsonis Annales geophysicae 10 (5), 309-322, 1992 | 64 | 1992 |
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 | 59 | 2018 |
ELEMENT: Multi-modal retinal vessel segmentation based on a coupled region growing and machine learning approach EO Rodrigues, A Conci, P Liatsis IEEE Journal of Biomedical and Health Informatics 24 (12), 3507-3519, 2020 | 58 | 2020 |
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 | 58 | 2008 |
Recurrent pi-sigma networks for DPCM image coding AJ Hussain, P Liatsis Neurocomputing 55 (1-2), 363-382, 2003 | 56 | 2003 |
Detecting at-risk students with early interventions using machine learning techniques R Al-Shabandar, AJ Hussain, P Liatsis, R Keight IEEE Access 7, 149464-149478, 2019 | 51 | 2019 |
A new machine learning based approach to predict Freezing of Gait N Kleanthous, AJ Hussain, W Khan, P Liatsis Pattern Recognition Letters 140, 119-126, 2020 | 47 | 2020 |
Multi-label retinal disease classification using transformers MA Rodríguez, H AlMarzouqi, P Liatsis IEEE Journal of Biomedical and Health Informatics 27 (6), 2739-2750, 2022 | 46 | 2022 |
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 | 46 | 2008 |