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Browsing by Author Blekas, K.

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Showing results 10 to 29 of 31 < previous   next >
TitleAuthor(s)Issue date???itemlist.???
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-
Proposed parameters for monitoring quality of virgin olive oil (Koroneiki cv)Psomiadou, E.; Konstantinos, X.; Blekas, K.; Tsimidou, M. Z.; Boskou, D.24-Nov-2015-
Protein sequence classification using probabilistic motifs and neural networksBlekas, K.; Fotiadis, D. I.; Likas, A.24-Nov-2015-
A Regression Mixture Model with Spatial Constraints for Clustering Spatiotemporal DataBlekas, K.; Nikou, C.; Galatsanos, N.; Tsekos, N. V.24-Nov-2015-
A reinforcement learning approach based on the fuzzy min-max neural networkLikas, A.; Blekas, K.24-Nov-2015-
Revisiting Java bytecode compression for embedded and mobile computing environmentsSaougkos, D.; Manis, G.; Blekas, K.; Zarras, A. V.24-Nov-2015-
A sequential method for discovering probabilistic motifs in proteinsBlekas, K.; Fotiadis, D. I.; Likas, A.24-Nov-2015-
A Sparse and Spatially Constrained Generative Regression Model for fMRI Data AnalysisOikonomou, V. P.; Blekas, K.; Astrakas, L.24-Nov-2015-
A Sparse Spatial Linear Regression Model for fMRI Data AnalysisOikonomou, V.; Blekas, K.11-Dec-2015-
A spatially constrained mixture model for image segmentationBlekas, K.; Likas, A.; Galatsanos, N. P.; Lagaris, I. E.24-Nov-2015-
Showing results 10 to 29 of 31 < previous   next >