Vassilios Petridis

According to our database, Vassilios Petridis authored at least 54 papers between 1984 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

Generative Simultaneous Localization and Mapping (G-SLAM).

Nikos Zikos, Vassilios Petridis

CoRR, 2016

2015

6-DoF Low Dimensionality SLAM (L-SLAM).

Nikos Zikos, Vassilios Petridis

J. Intell. Robotic Syst., 2015

Genetic fuzzy rule based classification systems for coronary plaque characterization based on intravascular ultrasound images.

Vasilis G. Giannoglou, Dimitris G. Stavrakoudis, John B. Theocharis, Vassilios Petridis

Eng. Appl. Artif. Intell., 2015

2012

SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images.

Serafeim P. Moustakidis, Giorgos Mallinis, Nikos Koutsias, John B. Theocharis, Vassilios Petridis

IEEE Trans. Geosci. Remote. Sens., 2012

Genetic fuzzy rule-based classification systems for tissue characterization of intravascular ultrasound images.

Vasilis G. Giannoglou, Dimitris G. Stavrakoudis, John B. Theocharis, Vassilios Petridis

Proceedings of the FUZZ-IEEE 2012, 2012

2011

A lattice-based neuro-computing methodology for real-time human action recognition.

Vassilis Syrris, Vassilios Petridis

Inf. Sci., 2011

Pattern classification and audiovisual content management techniques using hybrid expert systems: A video-assisted bioacoustics application in Abdominal Sounds pattern analysis.

Charalampos A. Dimoulas, George Papanikolaou, Vassilios Petridis

Expert Syst. Appl., 2011

L-SLAM: Reduced dimensionality FastSLAM with unknown data association.

Nikos Zikos, Vassilios Petridis

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

A hierarchical predictive scheme for incremental time-series classification.

Vassilis Syrris, Vassilios Petridis

Proceedings of the International Joint Conference on Neural Networks, 2010

L-SLAM: Reduced dimensionality FastSLAM algorithms.

Vassilios Petridis, Nikos Zikos

Proceedings of the International Joint Conference on Neural Networks, 2010

2008

A multilayered neuro-fuzzy classifier with self-organizing properties.

Nikolaos E. Mitrakis, John B. Theocharis, Vassilios Petridis

Fuzzy Sets Syst., 2008

Bowel-sound pattern analysis using wavelets and neural networks with application to long-term, unsupervised, gastrointestinal motility monitoring.

Charalampos Dimoulas, George Kalliris, George Papanikolaou, Vassilios Petridis, Antonios Kalampakas

Expert Syst. Appl., 2008

Classification through hierarchical clustering and dimensionality reduction.

Vassilis Syrris, Vassilios Petridis

Proceedings of the International Joint Conference on Neural Networks, 2008

3D facial expression recognition using swarm intelligence.

Iordanis Mpiperis, Sotiris Malassiotis, Vassilios Petridis, Michael G. Strintzis

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Machine Learning Techniques for Environmental Data Estimation.

Vassilios Petridis, Vassilis Syrris

Proceedings of the Computational Intelligence Based on Lattice Theory, 2007

Segmentation of Greek Text by Dynamic Programming.

Pavlina Fragkou, Vassilios Petridis

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

2006

From Signaling to Word-Combination, a Layered Approach.

Anastasios-Antonios Toulkeridis, Vassilios Petridis

Proceedings of the International Joint Conference on Neural Networks, 2006

Construction of Neural Network Based Lyapunov Functions.

Vassilios Petridis, Stavros Petridis

Proceedings of the International Joint Conference on Neural Networks, 2006

Application of Fuzzy Lattice Neurocomputing (FLN) for Environmental Data Estimation.

Vassilios Petridis, John B. Theocharis, Vassilis Syrris

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2004

A Dynamic Programming Algorithm for Linear Text Segmentation.

Pavlina Fragkou, Vassilios Petridis, Athanasios Kehagias

J. Intell. Inf. Syst., 2004

2003

ACES: an interactive software platform for self-instruction and self-evaluation in automatic control systems.

Vassilios Petridis, Spiridon A. Kazarlis, Vassilis G. Kaburlasos

IEEE Trans. Educ., 2003

FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples.

Vassilios Petridis, Vassilis G. Kaburlasos

J. Mach. Learn. Res., 2003

A Comparison of Word- and Sense-Based Text Categorization Using Several Classification Algorithms.

Athanasios Kehagias, Vassilios Petridis, Vassilis G. Kaburlasos, Pavlina Fragkou

J. Intell. Inf. Syst., 2003

Linear Text Segmentation using a Dynamic Programming Algorithm.

Athanasios Kehagias, Pavlina Fragkou, Vassilios Petridis

Proceedings of the EACL 2003, 2003

2002

Predictive modular neural networks for unsupervised segmentation of switching time series: the data allocation problem.

Athanasios Kehagias, Vassilios Petridis

IEEE Trans. Neural Networks, 2002

Intelligent clustering techniques for prediction of sugar production.

Vassilis G. Kaburlasos, Vasilis A. Spais, Vassilios Petridis, Loukas Petrou, Spiridon A. Kazarlis, N. Maslaris, A. Kallinakis

Math. Comput. Simul., 2002

On Modelling Evolutionary Algorithm Implementations through Co-operating Populations.

Panagiotis Adamidis, Vassilios Petridis

Proceedings of the Parallel Problem Solving from Nature, 2002

2001

Clustering and Classification in Structured Data Domains Using Fuzzy Lattice Neurocomputing (FLN).

Vassilios Petridis, Vassilis G. Kaburlasos

IEEE Trans. Knowl. Data Eng., 2001

Microgenetic algorithms as generalized hill-climbing operators for GA optimization.

Spiridon A. Kazarlis, Stelios E. Papadakis, Ioannis B. Theocharis, Vassilios Petridis

IEEE Trans. Evol. Comput., 2001

A Bayesian Multiple Models Combination Method for Time Series Prediction.

Vassilios Petridis, Athanasios Kehagias, Loukas Petrou, Anastasios G. Bakirtzis, S. Kiartzis, H. Panagiotou, N. Maslaris

J. Intell. Robotic Syst., 2001

A constrained orthogonal least-squares method for generating TSK fuzzy models: Application to short-term load forecasting.

Paris A. Mastorocostas, Ioannis B. Theocharis, Vassilios Petridis

Fuzzy Sets Syst., 2001

2000

Fuzzy Lattice Neurocomputing (FLN) models.

Vassilis G. Kaburlasos, Vassilios Petridis

Neural Networks, 2000

1999

Estimation of the stapes-bone thickness in the stapedotomy surgical procedure using a machine-learning technique.

Vassilis G. Kaburlasos, Vassilios Petridis, Peter N. Brett, Dave A. Baker

IEEE Trans. Inf. Technol. Biomed., 1999

Learning in the framework of fuzzy lattices.

Vassilios Petridis, Vassilis G. Kaburlasos

IEEE Trans. Fuzzy Syst., 1999

1998

Varying fitness functions in genetic algorithm constrained optimization: the cutting stock and unit commitment problems.

Vassilios Petridis, Spiridon A. Kazarlis, Anastasios G. Bakirtzis

IEEE Trans. Syst. Man Cybern. Part B, 1998

A hybrid neural-genetic multimodel parameter estimation algorithm.

Vassilios Petridis, E. Paterakis, Athanasios Kehagias

IEEE Trans. Neural Networks, 1998

Fuzzy lattice neural network (FLNN): a hybrid model for learning.

Vassilios Petridis, Vassilis G. Kaburlasos

IEEE Trans. Neural Networks, 1998

On the parallelization of artificial neural networks and genetic algorithms.

Panagiotis Adamidis, Vassilios Petridis

Int. J. Comput. Math., 1998

A Multi-model Algorithm for Parameter Estimation of Time-varying Nonlinear Systems.

Vassilios Petridis, Athanasios Kehagias

Autom., 1998

Genetic Algorithm in Parameter Estimation of Nonlinear Dynamic Systems.

E. Paterakis, Vassilios Petridis, Athanasios Kehagias

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.

Spiridon A. Kazarlis, Vassilios Petridis

Proceedings of the Parallel Problem Solving from Nature, 1998

Learning a Linear Association of Drilling Profiles in Stapedotomy Surgery.

Vassilis G. Kaburlasos, Vassilios Petridis, Peter N. Brett, Dave A. Baker

Proceedings of the IEEE International Conference on Robotics and Automation, 1998

1997

Predictive modular fuzzy systems for time-series classification.

Vassilios Petridis, Athanasios Kehagias

IEEE Trans. Fuzzy Syst., 1997

Robot handling of flat textile materials.

Nikolaos Fahantidis, K. Paraschidis, Vassilios Petridis, Zoe Doulgeri, Loukas Petrou, Georgios Hasapis

IEEE Robotics Autom. Mag., 1997

Predictive Modular Neural Networks for Time Series Classification.

Athanasios Kehagias, Vassilios Petridis

Neural Networks, 1997

Time-Series Segmentation Using Predictive Modular Neural Networks.

Athanasios Kehagias, Vassilios Petridis

Neural Comput., 1997

1996

Modular neural networks for MAP classification of time series and the partition algorithm.

Vassilios Petridis, Athanasios Kehagias

IEEE Trans. Neural Networks, 1996

A Recurrent Network Implementation of Time Series Classification.

Vassilios Petridis, Athanasios Kehagias

Neural Comput., 1996

Data pre-processing for short-term load forecasting in an autonomous power system using artificial neural networks.

S. Kiartzis, C. E. Zoumas, Anastasios G. Bakirtzis, Vassilios Petridis

Proceedings of Third International Conference on Electronics, Circuits, and Systems, 1996

Co-Operating Populations with Different Evolution Behaviours.

Panagiotis Adamidis, Vassilios Petridis

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.

Vassilios Petridis, K. Paraschidis

IEEE Trans. Neural Networks, 1995

A Robotic System for Handling Textile Materials.

K. Paraschidis, Nikolaos Fahantidis, V. Vassiliadis, Vassilios Petridis, Zoe Doulgeri, Loukas Petrou, Georgios Hasapis

Proceedings of the 1995 International Conference on Robotics and Automation, 1995

1994

Varying Quality Function in Genetic Algorithms and the Cutting Problem.

Vassilios Petridis, Spiridon A. Kazarlis

Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

1984

Comparison of three nonlinear filtering schemes.

John B. Theocharis, Vassilios Petridis

Inf. Sci., 1984