2009 |
22 | EE | Damianos Gavalas,
George E. Tsekouras,
Christos Anagnostopoulos:
A mobile agent platform for distributed network and systems management.
Journal of Systems and Software 82(2): 355-371 (2009) |
2008 |
21 | EE | Evangelos Vlachogiannis,
Damianos Gavalas,
Christos Anagnostopoulos,
George E. Tsekouras:
Towards iTV accessibility: the MPEG-21 case.
PETRA 2008: 33 |
20 | EE | Antonios D. Niros,
George E. Tsekouras:
A Fuzzy Clustering Algorithm to Estimate the Parameters of Radial Basis Functions Neural Networks and Its Application to System Modeling.
SETN 2008: 194-204 |
19 | EE | George E. Tsekouras,
Damianos Gavalas,
Stefanos Filios,
Antonios D. Niros,
George Bafaloukas:
A Clustering Framework to Build Focused Web Crawlers for Automatic Extraction of Cultural Information.
SETN 2008: 419-424 |
18 | EE | Christos-Nikolaos Anagnostopoulos,
Evangelos Vlachogiannis,
Ioannis Psoroulas,
Damianos Gavalas,
George E. Tsekouras,
George Konstantas:
Intelligent content personalisation in internet TV using MPEG-21.
IJIPT 3(3): 159-169 (2008) |
17 | EE | George E. Tsekouras,
Mamalis Antonios,
Christos Anagnostopoulos,
Damianos Gavalas,
Dafne Economou:
Improved batch fuzzy learning vector quantization for image compression.
Inf. Sci. 178(20): 3895-3907 (2008) |
2007 |
16 | EE | Christos-Nikolaos Anagnostopoulos,
George E. Tsekouras,
Damianos Gavalas,
Daphne Economou,
Ioannis Psoroulas:
Increasing interactivity in IPTV using MPEG-21 descriptors.
AIAI 2007: 65-72 |
15 | EE | George E. Tsekouras,
Christos Anagnostopoulos,
Damianos Gavalas,
Economou Dafhi:
Classification of Web Documents using Fuzzy Logic Categorical Data Clustering.
AIAI 2007: 93-100 |
2005 |
14 | | George E. Tsekouras,
Dimitris Papageorgiou,
Christos Kalloniatis:
Analysis of Cross-Cultural Data using Hierarchical Fuzzy Logic Clustering.
Artificial Intelligence and Applications 2005: 262-267 |
13 | | George E. Tsekouras:
Modeling the Cross-Cultural Adaptation Process of Immigrants Using Categorical Data Clustering.
CIMCA/IAWTIC 2005: 396-401 |
12 | EE | Sotiris B. Kotsiantis,
George E. Tsekouras,
Panayiotis E. Pintelas:
Local Bagging of Decision Stumps.
IEA/AIE 2005: 406-411 |
11 | EE | George E. Tsekouras,
Dimitris Papageorgiou,
Sotiris B. Kotsiantis,
Christos Kalloniatis,
Panayiotis E. Pintelas:
A Fuzzy Logic-Based Approach for Detecting Shifting Patterns in Cross-Cultural Data.
IEA/AIE 2005: 705-708 |
10 | | George E. Tsekouras,
Evi Sampanikou:
Cluster Analysis for the Statistical Modeling of Aesthetic Judgment Data Related to Comics Artists.
IEC (Prague) 2005: 304-306 |
9 | EE | Sotiris B. Kotsiantis,
George E. Tsekouras,
C. Raptis,
Panayiotis E. Pintelas:
Modeling the Organoleptic Properties of Matured Wine Distillates.
MLDM 2005: 667-673 |
8 | EE | Sotiris B. Kotsiantis,
George E. Tsekouras,
Panayiotis E. Pintelas:
Bagging Random Trees for Estimation of Tissue Softness.
MLDM 2005: 674-681 |
7 | EE | Sotiris B. Kotsiantis,
George E. Tsekouras,
Panayiotis E. Pintelas:
Bagging Model Trees for Classification Problems.
Panhellenic Conference on Informatics 2005: 328-337 |
6 | EE | George E. Tsekouras:
On the use of the weighted fuzzy c-means in fuzzy modeling.
Advances in Engineering Software 36(5): 287-300 (2005) |
5 | EE | George E. Tsekouras:
A fuzzy vector quantization approach to image compression.
Applied Mathematics and Computation 167(1): 539-560 (2005) |
4 | EE | George E. Tsekouras,
Haralambos Sarimveis,
Evagelia Kavakli,
George V. Bafas:
A hierarchical fuzzy-clustering approach to fuzzy modeling.
Fuzzy Sets and Systems 150(2): 245-266 (2005) |
3 | EE | George E. Tsekouras:
Fuzzy Modeling Based on Ordinary Fuzzy Partitions and Nearest Neighbor Clustering.
Journal of Intelligent and Robotic Systems 43(2-4): 255-282 (2005) |
2004 |
2 | | George E. Tsekouras,
Dimitris Papageorgiou,
Sotiris B. Kotsiantis,
Christos Kalloniatis,
Panayiotis E. Pintelas:
Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data.
International Conference on Computational Intelligence 2004: 202-206 |
2001 |
1 | EE | John Bessant,
George E. Tsekouras:
Developing learning networks.
AI Soc. 15(1-2): 82-98 (2001) |