Theofilatos Konstantinos
Theofilatos Konstantinos
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ceid.upatras.gr
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Forecasting foreign exchange rates with adaptive neural networks using radial-basis functions and particle swarm optimization
G Sermpinis, K Theofilatos, A Karathanasopoulos, EF Georgopoulos, ...
European Journal of Operational Research 225 (3), 528-540, 2013
1192013
Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms—Support vector regression forecast combinations
G Sermpinis, C Stasinakis, K Theofilatos, A Karathanasopoulos
European Journal of Operational Research 247 (3), 831-846, 2015
672015
Systemic mechanisms and effects of ionizing radiation: A new⿿ old⿿ paradigm of how the bystanders and distant can become the players
Z Nikitaki, IV Mavragani, DA Laskaratou, V Gika, VP Moskvin, ...
Seminars in cancer biology 37, 77-95, 2016
642016
Where we stand, where we are moving: surveying computational techniques for identifying miRNA genes and uncovering their regulatory role
D Kleftogiannis, A Korfiati, K Theofilatos, S Likothanassis, A Tsakalidis, ...
Journal of biomedical informatics 46 (3), 563-573, 2013
442013
Artificial Intelligence in Financial Markets
C Dunis, P Middleton, A Karathanasopolous, K Theofilatos
Palgrave Macmillan, 2016
412016
A genetic programming approach for EUR/USD exchange rate forecasting and trading
GA Vasilakis, KA Theofilatos, EF Georgopoulos, A Karathanasopoulos, ...
Computational economics 42 (4), 415-431, 2013
352013
YamiPred: A novel evolutionary method for predicting pre-miRNAs and selecting relevant features
D Kleftogiannis, K Theofilatos, S Likothanassis, S Mavroudi
IEEE/ACM transactions on computational biology and bioinformatics 12 (5 …, 2015
272015
Computational approaches for the prediction of protein-protein interactions: a survey
K A Theofilatos, C M Dimitrakopoulos, A K Tsakalidis, S D Likothanassis, ...
Current Bioinformatics 6 (4), 398-414, 2011
272011
Forecasting US unemployment with radial basis neural networks, Kalman filters and support vector regressions
C Stasinakis, G Sermpinis, K Theofilatos, A Karathanasopoulos
Computational Economics 47 (4), 569-587, 2016
262016
Investigation and classification of field leakage current waveforms
D Pylarinos, K Theofilatos, K Siderakis, E Thalassinakis, I Vitellas, ...
IEEE Transactions on Dielectrics and Electrical Insulation 19 (6), 2111-2118, 2012
252012
Stock market prediction using evolutionary support vector machines: an application to the ASE20 index
A Karathanasopoulos, KA Theofilatos, G Sermpinis, C Dunis, S Mitra, ...
The European Journal of Finance 22 (12), 1145-1163, 2016
222016
Modeling and trading the EUR/USD exchange rate using machine learning techniques
K Theofilatos, S Likothanassis, A Karathanasopoulos
Engineering, Technology & Applied Science Research 2 (5), 269-272, 2012
212012
Comparative analysis of circulating noncoding RNAs versus protein biomarkers in the detection of myocardial injury
C Schulte, T Barwari, A Joshi, K Theofilatos, A Zampetaki, ...
Circulation research 125 (3), 328-340, 2019
192019
A hybrid genetic algorithm–support vector machine approach in the task of forecasting and trading
CL Dunis, SD Likothanassis, AS Karathanasopoulos, GS Sermpinis, ...
Journal of Asset Management 14 (1), 52-71, 2013
182013
Inflation and unemployment forecasting with genetic support vector regression
G Sermpinis, C Stasinakis, K Theofilatos, A Karathanasopoulos
Journal of Forecasting 33 (6), 471-487, 2014
162014
Combining evolutionary and stochastic gradient techniques for system identification
K Theofilatos, G Beligiannis, S Likothanassis
Journal of Computational and Applied Mathematics 227 (1), 147-160, 2009
152009
Modeling the ase 20 greek index using artificial neural nerworks combined with genetic algorithms
AS Karathanasopoulos, KA Theofilatos, PM Leloudas, SD Likothanassis
International Conference on Artificial Neural Networks, 428-435, 2010
142010
Predicting protein complexes from weighted protein–protein interaction graphs with a novel unsupervised methodology: evolutionary enhanced Markov clustering
K Theofilatos, N Pavlopoulou, C Papasavvas, S Likothanassis, ...
Artificial intelligence in medicine 63 (3), 181-189, 2015
122015
Measurement of the cross section ratio σtt¯ bb¯/σtt¯ jj in pp collisions at s= 8 TeV
V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, T Bergauer, ...
Physics Letters B 746, 132-153, 2015
112015
Predicting human miRNA target genes using a novel computational intelligent framework
A Korfiati, K Theofilatos, D Kleftogiannis, C Alexakos, S Likothanassis, ...
Information Sciences 294, 576-585, 2015
102015
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