Vassilios Petridis - researchr alias

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Viewing Publication 1 - 50 from 50

2015

Genetic fuzzy rule based classification systems for coronary plaque characterization based on intravascular ultrasound imagesVasilis G. Giannoglou, Dimitris G. Stavrakoudis, John B. Theocharis, Vassilios Petridis. eaai, 38:203-220, 2015. [doi]

6-DoF Low Dimensionality SLAM (L-SLAM)Nikos Zikos, Vassilios Petridis. jirs, 79(1):55-72, 2015. [doi]

2012

Genetic fuzzy rule-based classification systems for tissue characterization of intravascular ultrasound imagesVasilis G. Giannoglou, Dimitris G. Stavrakoudis, John B. Theocharis, Vassilios Petridis. fuzzIEEE 2012: 1-8 [doi]

SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing ImagesSerafeim P. Moustakidis, Giorgos Mallinis, Nikos Koutsias, John B. Theocharis, Vassilios Petridis. tgrs, 50(1):149-169, 2012. [doi]

2011

A lattice-based neuro-computing methodology for real-time human action recognitionVassilis Syrris, Vassilios Petridis. isci, 181(10):1874-1887, 2011. [doi]

L-SLAM: Reduced dimensionality FastSLAM with unknown data associationNikos Zikos, Vassilios Petridis. icra 2011: 4074-4079 [doi]

2010

L-SLAM: Reduced dimensionality FastSLAM algorithmsVassilios Petridis, Nikos Zikos. ijcnn 2010: 1-7 [doi]

A hierarchical predictive scheme for incremental time-series classificationVassilis Syrris, Vassilios Petridis. ijcnn 2010: 1-8 [doi]

2008

3D facial expression recognition using swarm intelligenceIordanis Mpiperis, Sotiris Malassiotis, Vassilios Petridis, Michael G. Strintzis. icassp 2008: 2133-2136 [doi]

Classification through hierarchical clustering and dimensionality reductionVassilis Syrris, Vassilios Petridis. ijcnn 2008: 1598-1603 [doi]

2007

Segmentation of Greek Text by Dynamic ProgrammingPavlina Fragkou, Vassilios Petridis. ictai 2007: 370-373 [doi]

Machine Learning Techniques for Environmental Data EstimationVassilios Petridis, Vassilis Syrris. In Vassilis G. Kaburlasos, Gerhard X. Ritter, editors, Computational Intelligence Based on Lattice Theory. Volume 67 of Studies in Computational Intelligence, pages 195-214, Springer, 2007. [doi]

2006

Application of Fuzzy Lattice Neurocomputing (FLN) for Environmental Data EstimationVassilios Petridis, John B. Theocharis, Vassilis Syrris. fuzzIEEE 2006: 337-343 [doi]

Construction of Neural Network Based Lyapunov FunctionsVassilios Petridis, Stavros Petridis. ijcnn 2006: 5059-5065 [doi]

From Signaling to Word-Combination, a Layered ApproachAnastasios-Antonios Toulkeridis, Vassilios Petridis. ijcnn 2006: 1589-1595 [doi]

2004

A Dynamic Programming Algorithm for Linear Text SegmentationPavlina Fragkou, Vassilios Petridis, Athanasios Kehagias. jiis, 23(2):179-197, 2004. [doi]

2003

2002

2001

2000

Fuzzy Lattice Neurocomputing (FLN) modelsVassilis G. Kaburlasos, Vassilios Petridis. NN, 13(10):1145-1170, 2000. [doi]

1999

Estimation of the stapes-bone thickness in the stapedotomy surgical procedure using a machine-learning techniqueVassilis G. Kaburlasos, Vassilios Petridis, Peter N. Brett, Dave A. Baker. titb, 3(4):268-277, 1999.

Learning in the framework of fuzzy latticesVassilios Petridis, Vassilis G. Kaburlasos. tfs, 7(4):422-440, 1999. [doi]

1998

On the parallelization of artificial neural networks and genetic algorithmsPanagiotis Adamidis, Vassilios Petridis. ijcm, 67(1-2):105-125, 1998. [doi]

Learning a Linear Association of Drilling Profiles in Stapedotomy SurgeryVassilis G. Kaburlasos, Vassilios Petridis, Peter N. Brett, Dave A. Baker. icra 1998: 705-710

Varying Fitness Functions in Genetic Algorithms: Studying the Rate of Increase of the Dynamic Penalty TermsSpiridon A. Kazarlis, Vassilios Petridis. ppsn 1998: 211-220 [doi]

Genetic Algorithm in Parameter Estimation of Nonlinear Dynamic SystemsE. Paterakis, Vassilios Petridis, Athanasios Kehagias. ppsn 1998: 1008-1017 [doi]

Varying fitness functions in genetic algorithm constrained optimization: the cutting stock and unit commitment problemsVassilios Petridis, Spiridon A. Kazarlis, A. G. Bakirtzis. tsmc, 28(5):629-640, 1998.

A Multi-model Algorithm for Parameter Estimation of Time-varying Nonlinear SystemsVassilios Petridis, Athanasios Kehagias. automatica, 34(4):469-475, 1998. [doi]

A hybrid neural-genetic multimodel parameter estimation algorithmVassilios Petridis, E. Paterakis, Athanasios Kehagias. tnn, 9(5):862-876, 1998. [doi]

Fuzzy lattice neural network (FLNN): a hybrid model for learningVassilios Petridis, Vassilis G. Kaburlasos. tnn, 9(5):877-890, 1998. [doi]

1997

1996

1995

A Robotic System for Handling Textile MaterialsK. Paraschidis, Nikolaos Fahantidis, V. Vassiliadis, Vassilios Petridis, Zoi Doulgeri, Loukas Petrou, Georgios Hasapis. icra 1995: 1769-1774

On the properties of the feedforward method: A simple training law for on-chip learningVassilios Petridis, K. Paraschidis. tnn, 6(6):1536-1541, 1995. [doi]

1994

Varying Quality Function in Genetic Algorithms and the Cutting ProblemVassilios Petridis, Spiridon A. Kazarlis. icec 1994: 166-169

1984

Comparison of three nonlinear filtering schemesJ. Theocharis, Vassilios Petridis. isci, 32(2):91-116, 1984. [doi]

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