Browsing by Author Blekas, K.

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TitleAuthor(s)Issue date
A sparse regression mixture model for clustering time - seriesBlekas, K.; Galatsanos, N.; Likas, A.11-Dec-2015
Autonomous vehicle navigation using evolutionary reinforcement learningStafylopatis, A.; Blekas, K.24-Nov-2015
A bayesian reinforcement learning framework using relevant vector machinesBlekas, K.; Tziortziotis, N.24-Nov-2015
Combination of high-resolution magic angle spinning proton magnetic resonance spectroscopy and microscale genomics to type brain tumor biopsiesTzika, A. A.; Astrakas, L.; Cao, H. H.; Mintzopoulos, D.; Andronesi, O. C.; Mindrinos, M.; Zhang, J. W.; Rahme, L. G.; Blekas, K.; Likas, A. C.; Galatsanos, N. P.; Carroll, R. S.; Black, P. M.24-Nov-2015
Combining magnetic resonance spectroscopy and molecular genomics offers better accuracy in brain tumor typing and prediction of survival than either methodology aloneAstrakas, L.; Blekas, K.; Constantinou, C.; Andronesi, O. C.; Mindrinos, M. N.; Likas, A. C.; Rahme, L. G.; Black, P. M.; Marcus, K. J.; Tzika, A. A.24-Nov-2015
Cytological diagnosis based on fuzzy neural networksLikas, A; Blekas, K.; Stafylopatis, A.; Kontoravdis, D.; Karakitsos, P.24-Nov-2015
Fuzzy neural network-based texture analysis of ultrasonic images - Improving accuracy of computer-assisted characterization of diffuse liver diseasesPavlopoulos, S.; Kyriacou, E.; Koutsouris, D.; Blekas, K.; Stafylopatis, A.; Zoumpoulis, P.24-Nov-2015
Greedy mixture learning for multiple motif discovery in biological sequencesBlekas, K.; Fotiadis, D. I.; Likas, A.24-Nov-2015
Incremental mixture learning for clustering discrete dataBlekas, K.; Likas, A.24-Nov-2015
Magnetization transfer ratio and volumetric analysis of the brain in macrocephalic patients with neurofibromatosis type 1Margariti, P. N.; Blekas, K.; Katzioti, F. G.; Zikou, A. K.; Tzoufi, M.; Argyropoulou, M. I.24-Nov-2015
Mixture model analysis of DNA microarray imagesBlekas, K.; Galatsanos, N. P.; Likas, A.; Lagaris, I. E.24-Nov-2015
Mixture model based Markov random field for discovering patterns in sequencesBlekas, K.24-Nov-2015
Molecular classification of brain tumor biopsies using solid-state magic angle spinning proton magnetic resonance spectroscopy and robust classifiersAndronesi, O. C.; Blekas, K.; Mintzopoulos, D.; Astrakas, L.; Black, P. M.; Tzika, A. A.24-Nov-2015
Motif-based protein sequence classification using neural networksBlekas, K.; Fotiadis, D. I.; Likas, A.24-Nov-2015
Motion Segmentation by Model-Based Clustering of Incomplete TrajectoriesKaravasilis, V.; Blekas, K.; Nikou, C.11-Dec-2015
Newtonian clustering: An approach based on molecular dynamics and global optimizationBlekas, K.; Lagaris, I. E.24-Nov-2015
Newtonian Spectral ClusteringBlekas, K.; Christodoulidou, K.; Lagaris, I.11-Dec-2015
Non-arteritic anterior ischaemic optic neuropathy: evaluation of the brain and optic pathway by conventional MRI and magnetisation transfer imagingArgyropoulou, M. I.; Zikou, A. K.; Tzovara, I.; Nikas, A.; Blekas, K.; Margariti, P.; Galatsanos, N.; Asproudis, I.24-Nov-2015
Parallel recombinative reinforcement learningLikas, A.; Blekas, K.; Stafylopatis, A.24-Nov-2015
Parallel Recombinative Reinforcement Learning a genetic approachLikas, A; Blekas, K.; Stafylopatis, A.24-Nov-2015