Panos Liatsis
Panos Liatsis
Professor, Khalifa University
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Cited by
Cited by
Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models
SS Pappas, L Ekonomou, DC Karamousantas, GE Chatzarakis, ...
Energy 33 (9), 1353-1360, 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
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
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
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
A robust missing value imputation method for noisy data
B Zhu, C He, P Liatsis
Applied Intelligence 36 (1), 61-74, 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
Appearance-based statistical methods for face recognition
K Delac, M Grgic, P Liatsis
47th International Symposium ELMAR-2005, 151-158, 2005
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
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
Recurrent pi-sigma networks for DPCM image coding
AJ Hussain, P Liatsis
Neurocomputing 55 (1-2), 363-382, 2003
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
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
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
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
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
Flexible and stretchable electrically conductive polymer materials for physical sensing applications
JC Lin, P Liatsis, P Alexandridis
Polymer Reviews 63 (1), 67-126, 2023
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
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
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
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