Theophilos Papadimitriou
Theophilos Papadimitriou
Verified email at - Homepage
Cited by
Cited by
Forecasting the US real house price index
V Plakandaras, R Gupta, P Gogas, T Papadimitriou
Economic Modelling 45, 259-267, 2015
Forecasting bank failures and stress testing: A machine learning approach
P Gogas, T Papadimitriou, A Agrapetidou
International journal of forecasting 34 (3), 440-455, 2018
Machine learning in economics and finance
P Gogas, T Papadimitriou
Computational Economics 57, 1-4, 2021
Forecasting energy markets using support vector machines
T Papadimitriou, P Gogas, E Stathakis
Energy Economics 44, 135-142, 2014
Forecasting daily and monthly exchange rates with machine learning techniques
V Plakandaras, T Papadimitriou, P Gogas
Journal of Forecasting 34 (7), 560-573, 2015
Yield curve and recession forecasting in a machine learning framework
P Gogas, T Papadimitriou, M Matthaiou, E Chrysanthidou
Computational Economics 45, 635-645, 2015
Forecasting bank credit ratings
P Gogas, T Papadimitriou, A Agrapetidou
The Journal of Risk Finance 15 (2), 195-209, 2014
Complex networks and banking systems supervision
T Papadimitriou, P Gogas, BM Tabak
Physica A: Statistical Mechanics and its Applications 392 (19), 4429-4434, 2013
The effects of geopolitical uncertainty in forecasting financial markets: A machine learning approach
V Plakandaras, P Gogas, T Papadimitriou
Algorithms 12 (1), 1, 2018
An efficient subspace method for the blind identification of multichannel FIR systems
KI Diamantaras, T Papadimitriou
IEEE Transactions on Signal Processing 56 (12), 5833-5839, 2008
Market sentiment and exchange rate directional forecasting
V Plakandaras, T Papadimitriou, P Gogas, K Diamantaras
Algorithmic Finance 4 (1-2), 69-79, 2015
The evolution of the cryptocurrencies market: A complex networks approach
T Papadimitriou, P Gogas, F Gkatzoglou
Journal of Computational and Applied Mathematics 376, 112831, 2020
Public debt and private consumption in OECD countries
P Gogas, V Plakandaras, T Papadimitriou
The Journal of Economic Asymmetries 11, 1-7, 2014
Blind deconvolution of multi-input single-output systems with binary sources
KI Diamantaras, T Papadimitriou
IEEE Transactions on Signal Processing 54 (10), 3720-3731, 2006
Blind separation of reflections using the image mixtures ratio
KI Diamantaras, T Papadimitriou
IEEE International Conference on Image Processing 2005 2, II-1034, 2005
Forecasting transportation demand for the US market
V Plakandaras, T Papadimitriou, P Gogas
Transportation Research Part A: Policy and Practice 126, 195-214, 2019
Forecasting unemployment in the euro area with machine learning
P Gogas, T Papadimitriou, E Sofianos
Journal of Forecasting 41 (3), 551-566, 2022
Video scene segmentation using spatial contours and 3-D robust motion estimation
T Papadimitriou, KI Diamantaras, MG Strintzis, M Roumeliotis
IEEE Transactions on Circuits and Systems for Video Technology 14 (4), 485-497, 2004
Forecasting natural gas spot prices with machine learning
D Mouchtaris, E Sofianos, P Gogas, T Papadimitriou
Energies 14 (18), 5782, 2021
Applying PCA neural models for the blind separation of signals
KI Diamantaras, T Papadimitriou
Neurocomputing 73 (1-3), 3-9, 2009
The system can't perform the operation now. Try again later.
Articles 1–20