Vassilios Petridis
According to our database1,
Vassilios Petridis
authored at least 55 papers
between 1984 and 2016.
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Bibliography
2016
2015
Genetic fuzzy rule based classification systems for coronary plaque characterization based on intravascular ultrasound images.
Eng. Appl. Artif. Intell., 2015
2012
SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2012
Genetic fuzzy rule-based classification systems for tissue characterization of intravascular ultrasound images.
Proceedings of the FUZZ-IEEE 2012, 2012
2011
Inf. Sci., 2011
Pattern classification and audiovisual content management techniques using hybrid expert systems: A video-assisted bioacoustics application in Abdominal Sounds pattern analysis.
Expert Syst. Appl., 2011
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2008
Fuzzy Sets Syst., 2008
Bowel-sound pattern analysis using wavelets and neural networks with application to long-term, unsupervised, gastrointestinal motility monitoring.
Expert Syst. Appl., 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
Proceedings of the Computational Intelligence Based on Lattice Theory, 2007
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007
2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
2005
Proceedings of the IEEE International Joint Conference on Neural Networks, 2005
2004
J. Intell. Inf. Syst., 2004
2003
ACES: an interactive software platform for self-instruction and self-evaluation in automatic control systems.
IEEE Trans. Educ., 2003
FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples.
J. Mach. Learn. Res., 2003
A Comparison of Word- and Sense-Based Text Categorization Using Several Classification Algorithms.
J. Intell. Inf. Syst., 2003
Proceedings of the EACL 2003, 2003
2002
Predictive modular neural networks for unsupervised segmentation of switching time series: the data allocation problem.
IEEE Trans. Neural Networks, 2002
Math. Comput. Simul., 2002
On Modelling Evolutionary Algorithm Implementations through Co-operating Populations.
Proceedings of the Parallel Problem Solving from Nature, 2002
2001
Clustering and Classification in Structured Data Domains Using Fuzzy Lattice Neurocomputing (FLN).
IEEE Trans. Knowl. Data Eng., 2001
IEEE Trans. Evol. Comput., 2001
J. Intell. Robotic Syst., 2001
A constrained orthogonal least-squares method for generating TSK fuzzy models: Application to short-term load forecasting.
Fuzzy Sets Syst., 2001
2000
1999
Estimation of the stapes-bone thickness in the stapedotomy surgical procedure using a machine-learning technique.
IEEE Trans. Inf. Technol. Biomed., 1999
1998
Varying fitness functions in genetic algorithm constrained optimization: the cutting stock and unit commitment problems.
IEEE Trans. Syst. Man Cybern. Part B, 1998
IEEE Trans. Neural Networks, 1998
IEEE Trans. Neural Networks, 1998
Int. J. Comput. Math., 1998
Autom., 1998
Proceedings of the Parallel Problem Solving from Nature, 1998
Varying Fitness Functions in Genetic Algorithms: Studying the Rate of Increase of the Dynamic Penalty Terms.
Proceedings of the Parallel Problem Solving from Nature, 1998
Proceedings of the IEEE International Conference on Robotics and Automation, 1998
1997
IEEE Trans. Fuzzy Syst., 1997
Neural Networks, 1997
Neural Comput., 1997
1996
Modular neural networks for MAP classification of time series and the partition algorithm.
IEEE Trans. Neural Networks, 1996
Neural Comput., 1996
Data pre-processing for short-term load forecasting in an autonomous power system using artificial neural networks.
Proceedings of Third International Conference on Electronics, Circuits, and Systems, 1996
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996
1995
On the properties of the feedforward method: A simple training law for on-chip learning.
IEEE Trans. Neural Networks, 1995
Proceedings of the 1995 International Conference on Robotics and Automation, 1995
1994
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994
1984