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Panayiotis Vlamos
Panagiotis Vlamos
2010 – today
- 2013
[j5]Panayiotis Vlamos, Konstantinos Lefkimmiatis, Catalina Cocianu, Luminita State, Zhiyuan Luo: Artificial Intelligence Applications in Biomedicine. Adv. Artificial Intellegence 2013 (2013)- 2012
[j4]Athanasios Alexiou, Panayiotis Vlamos: A Cultural Algorithm for the Representation of Mitochondrial Population. Adv. Artificial Intellegence 2012 (2012)
[c22]Athanasios Alexiou, Maria Psixa, Panayiotis Vlamos: An Integrated Ontology-Based Model for the Early Diagnosis of Parkinson's Disease. AIAI (2) 2012: 442-450
[c21]- 2011
[c20]Catalina-Lucia Cocianu, Luminita State, Panayiotis Vlamos: A New Method for Learning the Support Vector Machines. ICSOFT (2) 2011: 365-370
[c19]Athanasios Alexiou, Maria Psixa, Panagiotis Vlamos: Ethical Issues of Artificial Biomedical Applications. EANN/AIAI (2) 2011: 297-302
[c18]Michail N. Giannakos, Spyros Doukakis, Panayiotis Vlamos, Christos Koilias: Programming in secondary education: benefits and perspectives. ITiCSE 2011: 349
[c17]Michail N. Giannakos, Panayiotis Vlamos: Identifying the predictors of educational webcasts' adoption. ITiCSE 2011: 376
[c16]Kostas Anagnostou, Panagiotis Vlamos: Square AR: Using Augmented Reality for Urban Planning. VS-GAMES 2011: 128-131- 2010
[c15]Michail N. Giannakos, Panayiotis Vlamos: Comparing a well designed webcast with traditional learning. SIGITE Conference 2010: 65-68
2000 – 2009
- 2009
[j3]Spyros Sioutas, Dimitrios Sofotassios, Kostas Tsichlas, Dimitrios Sotiropoulos, Panayiotis Vlamos: Canonical Polygon Queries on the Plane: A New Approach. JCP 4(9): 913-919 (2009)
[c14]Catalina Cocianu, Luminita State, Panayiotis Vlamos, Doru Constantin, Corina Sararu: PCA Supervised and Unsupervised Classifiers in Signal Processing. PRIS 2009: 61-70
[c13]Luminita State, Catalina Cocianu, Doru Constantin, Corina Sararu, Panayiotis Vlamos: Toward a Semi-supervised Approach in Classification based on Principal Directions. SIGMAP 2009: 68-73- 2008
[j2]
[j1]Andreas Floros, Markos Avlonitis, Panayiotis Vlamos: Frequency-Domain Stochastic Error Concealment for Wireless Audio Applications. MONET 13(3-4): 357-365 (2008)
[c12]Luminita State, Catalina Cocianu, Ion Rosca, Panayiotis Vlamos: A New Learning Algorithm for Classification in the Reduced Space. ICEIS (2) 2008: 155-160
[c11]Luminita State, Catalina Cocianu, Panayiotis Vlamos, Doru Constantin: Neural Approaches to Image Compression/Decompression Using PCA based Learning Algorithms. PRIS 2008: 187-192
[c10]Luminita State, Catalina Cocianu, Panayiotis Vlamos: An unsupervised skeleton based method to discover the structure of the class system. RCIS 2008: 169-178
[c9]Catalina Cocianu, Luminita State, Panayiotis Vlamos, Doru Constantin: Decorrelation Techniques in Image Restoration. SIGMAP 2008: 193-196
[i1]Spyros Sioutas, Dimitrios Sofotassios, Kostas Tsichlas, Dimitrios Sotiropoulos, Panayiotis Vlamos: A New Approach on the Canonical k-vertex Polygon Retrieval Problem on the Plane. CoRR abs/0805.2681 (2008)- 2007
[c8]Luminita State, Catalina Cocianu, Panayiotis Vlamos, Viorica Stefanescu: A Connectionist Approach in Bayesian Classification. ICEIS (2) 2007: 185-190
[c7]Andreas Floros, Markos Avlonitis, Panayiotis Vlamos: Stochastic packet reconstruction for subjectively improved audio delivery over WLANs. MobiMedia 2007: 33
[c6]Catalina Cocianu, Luminita State, Ion Rosca, Panayiotis Vlamos: A New Adaptive Classification Scheme Based on Skeleton Information. SIGMAP 2007: 85-92
[c5]Luminita State, Catalina Cocianu, Panayiotis Vlamos, Doru Constantin: Principal Directions-Based Algorithm for Classification Tasks. SYNASC 2007: 137-143- 2006
[c4]Luminita State, Catalina Cocianu, Panayiotis Vlamos, Viorica Stefanescu: PCA-based data mining probabilistic and fuzzy approaches with applications in pattern recognition. ICSOFT (2) 2006: 55-60- 2004
[c3]Catalina Cocianu, Luminita State, Panayiotis Vlamos, Viorica Stefanescu: On the Efficiency of a Certain Class of Noise Removal Algorithms in Solving Image Processing Tasks. ICINCO (3) 2004: 320-323
[c2]Luminita State, Catalina Cocianu, Viorica Stefanescu, Panayiotis Vlamos: A Neural Network Framework for Implementing the Bayesian Learning. ICINCO (3) 2004: 328-331- 2002
[c1]Catalina Cocianu, Luminita State, Panayiotis Vlamos: On a Certain Class of Algorithms for Noise Removal in Image Processing: A Comparative Study. ITCC 2002: 111-116
Coauthor Index
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last updated on 2013-03-19 17:08 CET by the dblp team



