| 2009 |
23 | | Vassilis G. Kaburlasos,
Stelios E. Papadakis:
A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR).
Neurocomputing 72(10-12): 2067-2078 (2009) |
22 | | Vassilis G. Kaburlasos,
Lefteris Moussiades,
Athena Vakali:
Fuzzy lattice reasoning (FLR) type neural computation for weighted graph partitioning.
Neurocomputing 72(10-12): 2121-2133 (2009) |
| 2008 |
21 | | Vassilis G. Kaburlasos,
Catherine Marinagi,
Vassilis Tsoukalas:
Personalized multi-student improvement based on Bayesian cybernetics.
Computers & Education 51(4): 1430-1449 (2008) |
| 2007 |
20 | | Vassilis G. Kaburlasos,
Gerhard X. Ritter:
Computational Intelligence Based on Lattice Theory
Springer 2007 |
19 | | Theodoros Alevizos,
Vassilis G. Kaburlasos,
Stelios E. Papadakis,
Christos Skourlas,
Petros Belsis:
Fuzzy Interval Number (FIN) Techniques for Multilingual and Cross Language Information Retrieval.
ICEIS (2) 2007: 348-355 |
18 | | Vassilis G. Kaburlasos:
Unified Analysis and Design of ART/SOM Neural Networks and Fuzzy Inference Systems Based on Lattice Theory.
IWANN 2007: 80-93 |
17 | | Vassilis G. Kaburlasos:
Granular Enhancement of Fuzzy ART/SOM Neural Classifiers Based on Lattice Theory.
Computational Intelligence Based on Lattice Theory 2007: 3-23 |
16 | | Vassilis G. Kaburlasos,
Athanasios Kehagias:
Novel Fuzzy Inference System (FIS) Analysis and Design Based on Lattice Theory.
IEEE T. Fuzzy Systems 15(2): 243-260 (2007) |
15 | | Vassilis G. Kaburlasos,
Ioannis N. Athanasiadis,
Pericles A. Mitkas:
Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation.
Int. J. Approx. Reasoning 45(1): 152-188 (2007) |
| 2006 |
14 | | Catherine Marinagi,
Theodoros Alevizos,
Vassilis G. Kaburlasos,
Christos Skourlas:
Fuzzy Interval Number (FIN) Techniques for Cross Language Information Retrieval.
ICEIS (2) 2006: 249-256 |
13 | | Vassilis G. Kaburlasos,
Stelios E. Papadakis:
Granular self-organizing map (grSOM) for structure identification.
Neural Networks 19(5): 623-643 (2006) |
| 2005 |
12 | | Stelios E. Papadakis,
Panagiotis Tzionas,
Vassilis G. Kaburlasos,
John B. Theocharis:
A Genetic Based Approach to the Type I Structure Identification Problem.
Informatica, Lith. Acad. Sci. 16(3): 365-382 (2005) |
| 2004 |
11 | | Vassilis G. Kaburlasos,
Catherine Marinagi,
Vassilis Tsoukalas:
PARES: A Software Tool for Computer-Based Testing and Evaluation Used in the Greek Higher Education System.
ICALT 2004 |
10 | | Vassilis G. Kaburlasos:
FINs: lattice theoretic tools for improving prediction of sugar production from populations of measurements.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(2): 1017-1030 (2004) |
| 2003 |
9 | | Al Cripps,
Vassilis G. Kaburlasos,
Nghiep Nguyen,
Stelios E. Papadakis:
Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers.
MLMTA 2003: 161-166 |
8 | | Athanasios Kehagias,
Vassilios Petridis,
Vassilis G. Kaburlasos,
Pavlina Fragkou:
A Comparison of Word- and Sense-Based Text Categorization Using Several Classification Algorithms.
J. Intell. Inf. Syst. 21(3): 227-247 (2003) |
7 | | Vassilios Petridis,
Vassilis G. Kaburlasos:
FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples.
Journal of Machine Learning Research 4: 17-37 (2003) |
| 2001 |
6 | | Vassilios Petridis,
Vassilis G. Kaburlasos:
Clustering and Classification in Structured Data Domains Using Fuzzy Lattice Neurocomputing (FLN).
IEEE Trans. Knowl. Data Eng. 13(2): 245-260 (2001) |
| 2000 |
5 | | Vassilis G. Kaburlasos,
Vassilios Petridis:
Fuzzy Lattice Neurocomputing (FLN) models.
Neural Networks 13(10): 1145-1170 (2000) |
| 1999 |
4 | | Vassilis G. Kaburlasos,
Vassilios Petridis,
Peter N. Brett,
Dave A. Baker:
Estimation of the stapes-bone thickness in the stapedotomy surgical procedure using a machine-learning technique.
IEEE Transactions on Information Technology in Biomedicine 3(4): 268-277 (1999) |
| 1998 |
3 | | Vassilis G. Kaburlasos,
Vassilios Petridis,
Peter N. Brett,
Dave A. Baker:
Learning a Linear Association of Drilling Profiles in Stapedotomy Surgery.
ICRA 1998: 705-710 |
2 | | Vassilios Petridis,
Vassilis G. Kaburlasos:
Fuzzy lattice neural network (FLNN): a hybrid model for learning.
IEEE Transactions on Neural Networks 9(5): 877-890 (1998) |
| 1992 |
1 | | Dwight D. Egbert,
Philip H. Goodman,
Vassilis G. Kaburlasos,
John H. Witchey:
Generalization Capabilities of Subtle Image Pattern Classifiers.
IEEE Trans. Knowl. Data Eng. 4(2): 172-177 (1992) |