V. Petridis

发表

Time-Series Segmentation Using Predictive Modular Neural Networks

Athanasios Kehagias, Vassilios Petridis, A. Kehagias, 1997, Neural Computation.

Text Segmentation by Product Partition Models and Dynamic Programming

V. Petridis, P. Fragkou, A. Nicolaou, 2003 .

Robot handling of flat textile materials

Zoe Doulgeri, Vassilios Petridis, Nikolaos Fahantidis, 1997, IEEE Robotics Autom. Mag..

Identification of switching dynamical systems using multiple models

Vassilios Petridis, Athanasios Kehagias, A. Kehagias, 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

A hybrid neural-genetic multimodel parameter estimation algorithm

Athanasios Kehagias, Vassilios Petridis, E. Paterakis, 1998, IEEE Trans. Neural Networks.

A method for bearings-only velocity and position estimation

V. Petridis, 1981 .

A Recurrent Network Implementation of Time Series Classification

Athanasios Kehagias, Vassilios Petridis, A. Kehagias, 1996, Neural Computation.

Predictive modular fuzzy systems for intelligent sensing

V. Petridis, A. Kehagias, 1996, 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929).

Optimal Power Flow by Enhanced Genetic Algorithm

A. Bakirtzis, V. Petridis, P. Biskas, 2002, IEEE Power Engineering Review.

TWO LEVEL FUZZY LATTICE (2L-FL) SUPERVISED CLUSTERING : A NEW METHOD FOR SOFT TISSUE IDENTIFICATION IN SURGERY

V. Petridis, P. Brett, V. Kaburlasos, 1996 .

Harmonic insertion in PWM inverter drive schemes

J. Theocharis, V. Petridis, 2007 .

Learning and decision-making in the framework of fuzzy lattices

V. Petridis, V. Kaburlasos, V. Kaburlassos, 2002 .

A novel PPM scheme (the 3-L CS-E-PPM) with application to inverter drives

J. Theocharis, V. Petridis, 1987 .

Analysis of a pulse position modulation inverter drive

J. Theocharis, V. Petridis, 1982 .

A dynamic programming segmentation procedure for hydrological and environmental time series

A. Kehagias, V. Petridis, E. Nidelkou, 2006 .

A phase-locked regulator system study of a separately excited DC motor with phase-frequency comparator

V. Petridis, N. Margaris, 1982 .

Advanced Methods for Evolutionary Optimisation

V. Petridis, P. Adamidis, V. Petridis, 1998 .

"short Term Load Forecasting Using a Bayesian Combination Method" a Bayesian Combination Method for Short Term Load Forecasting

A. Bakirtzis, A. Kehagias, V. Petridis, 1997 .

Numerical solution of eigenvalue problems in control and communication

V. Petridis, 1977 .

Short-term load forecasting in an autonomous power system using artificial neural networks

S. J. Kiartzis, Anastasios G. Bakirtzis, John B. Theocharis, 1997 .

Classification Using the 1-FLNMAP Neural Network

A. Kehagias, V. Petridis, P. Fragkou, 2022 .

Segmentation of Greek Texts by Dynamic Programming

V. Petridis, P. Fragkou, Ath. Kehagias, 2008 .

Phase-locked speed regulation of universal motors

V. Petridis, N. Margris, 1983 .

Reply by the authors to the letter by Aksoy et al.

Vassilios Petridis, Ath. Kehagias, E. Nidelkou, 2007 .

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

Vassilios Petridis, Vassilis G. Kaburlasos, V. Petridis, 2001, IEEE Trans. Knowl. Data Eng..

From Signaling to Word-Combination, a Layered Approach

Vassilios Petridis, Anastasios-Antonios Toulkeridis, V. Petridis, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

3D facial expression recognition using swarm intelligence

Michael G. Strintzis, Sotiris Malassiotis, Vassilios Petridis, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

A hierarchical predictive scheme for incremental time-series classification

Vassilios Petridis, Vassilis Syrris, V. Petridis, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Fuzzy Lattice Neurocomputing (FLN) models

Vassilios Petridis, Vassilis G. Kaburlasos, V. Petridis, 2000, Neural Networks.

Applying Machine Learning Techniques on Air Quality Data for Real-Time Decision Support

Pericles A. Mitkas, Ioannis N. Athanasiadis, Vassilios Petridis, 2003 .

Classification through hierarchical clustering and dimensionality reduction

Vassilios Petridis, Vassilis Syrris, V. Petridis, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

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

Ioannis B. Theocharis, Vassilios Petridis, Vassilis Syrris, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Learning in the framework of fuzzy lattices

Vassilios Petridis, Vassilis G. Kaburlasos, V. Petridis, 1999, IEEE Trans. Fuzzy Syst..

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

Vassilios Petridis, Vassilis G. Kaburlasos, V. Petridis, 1998, IEEE Trans. Neural Networks.

General Convergence Results for Data Allocation in Online Unsupervised Learning Methods

Vassilios Petridis, V. Petridis, 1998 .

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, 2001, Fuzzy Sets Syst..

A neural network short term load forecasting model for the Greek power system

S. J. Kiartzis, Anastasios G. Bakirtzis, Vassilios Petridis, 1996 .

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

George Kalliris, Charalampos Dimoulas, Vassilios Petridis, 2008, Expert Syst. Appl..

A Bayesian Multiple Models Combination Method for Time Series Prediction

Athanasios Kehagias, Vassilios Petridis, Loukas Petrou, 2001, J. Intell. Robotic Syst..

A hybrid genetic algorithm for training neural networks

Vassilios Petridis, S. Kazarlis, A. Papaikonomou, 1992 .

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

Ioannis B. Theocharis, Vassilios Petridis, Vasilis G. Giannoglou, 2015, Eng. Appl. Artif. Intell..

Microgenetic algorithms as generalized hill-climbing operators for GA optimization

Ioannis B. Theocharis, Vassilios Petridis, Spiridon A. Kazarlis, 2001, IEEE Trans. Evol. Comput..

Closure on "Optimal power flow by enhanced genetic algorithm"

Anastasios G. Bakirtzis, Vassilios Petridis, Pandelis N. Biskas, 2003 .

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

Vassilios Petridis, Spiridon A. Kazarlis, A. G. Bakirtzis, 1998, IEEE Trans. Syst. Man Cybern. Part B.

Varying Fitness Functions in Genetic Algorithms: Studying the Rate of Increase of the Dynamic Penalty Terms

Vassilios Petridis, Spiridon A. Kazarlis, V. Petridis, 1998, PPSN.

A genetic algorithm solution to the unit commitment problem

Anastasios G. Bakirtzis, Vassilios Petridis, S. Kazarlis, 1996 .

Genetic algorithm solution to the economic dispatch problem

Anastasios G. Bakirtzis, Vassilios Petridis, S. Kazarlis, 1994 .

New formulation of noise in collision-free systems. III

V. Petridis, P. Lindsay, 1975 .

A Dynamic Programming Algorithm for Linear Text Segmentation

Athanasios Kehagias, Vassilios Petridis, Pavlina Fragkou, 2004, Journal of Intelligent Information Systems.

On the parallelization of artificial neural networks and genetic algorithms

Vassilios Petridis, Panagiotis Adamidis, V. Petridis, 1998, Int. J. Comput. Math..

Predictive modular fuzzy systems for time-series classification

Athanasios Kehagias, Vassilios Petridis, A. Kehagias, 1997, IEEE Trans. Fuzzy Syst..

A Computational Model for the Emergence of Lexicon and Evolution of Parsing

V. Petridis, A.-A. Toulkeridis, V. Petridis, 2007, 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems.

Neural network observer for induction motor control

J. Theocharis, V. Petridis, J. Theocharis, 1994, IEEE Control Systems.

Segmentation of Greek Text by Dynamic Programming

Vassilios Petridis, Pavlina Fragkou, V. Petridis, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

Linear Text Segmentation using a Dynamic Programming Algorithm

Athanasios Kehagias, Vassilios Petridis, Pavlina Fragkou, 2003, EACL.

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

Athanasios Kehagias, Vassilios Petridis, Vassilis G. Kaburlasos, 2003, Journal of Intelligent Information Systems.

Varying quality function in genetic algorithms and the cutting problem

Vassilios Petridis, Spiridon A. Kazarlis, V. Petridis, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

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

Athanasios Kehagias, Vassilios Petridis, A. Kehagias, 2002, IEEE Trans. Neural Networks.

6-DoF Low Dimensionality SLAM (L-SLAM)

Vassilios Petridis, Nikos Zikos, V. Petridis, 2015, J. Intell. Robotic Syst..

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

Vassilios Petridis, Vassilis G. Kaburlasos, V. Petridis, 2003, J. Mach. Learn. Res..

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

Nikos Koutsias, Giorgos Mallinis, Ioannis B. Theocharis, 2012, IEEE Transactions on Geoscience and Remote Sensing.

On the convergence properties of some cautious controllers

V. Petridis, 1981 .

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

Charalampos Dimoulas, Vassilios Petridis, Charalampos A. Dimoulas, 2011, Expert Syst. Appl..

A genetic algorithm solution approach to the hydrothermal coordination problem

C.E. Zoumas, A.G. Bakirtzis, J.B. Theocharis, 2004, IEEE Transactions on Power Systems.

On the properties of the feedforward method: A simple training law for on-chip learning

Vassilios Petridis, K. Paraschidis, V. Petridis, 1995, IEEE Trans. Neural Networks.

Machine Learning Techniques for Environmental Data Estimation

Vassilios Petridis, Vassilis Syrris, V. Petridis, 2007, Computational Intelligence Based on Lattice Theory.

Short Term Load Forecasting Using Predictive Modular Neural Networks

Athanasios Kehagias, S. J. Kiartzis, Anastasios G. Bakirtzis, 2001 .

Comparison of two metaheuristics with mathematical programming methods for the solution of OPF

C.E. Zoumas, A.G. Bakirtzis, V. Petridis, 2005, Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems.

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

Athanasios Kehagias, Vassilios Petridis, A. Kehagias, 1998, Autom..

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

Ioannis B. Theocharis, Vassilios Petridis, Vasilis G. Giannoglou, 2012, 2012 IEEE International Conference on Fuzzy Systems.

A multilayered neuro-fuzzy classifier with self-organizing properties

Ioannis B. Theocharis, Vassilios Petridis, Nikolaos E. Mitrakis, 2008, Fuzzy Sets Syst..

On the Realization of Back-Propagation on a Transputer Based System

Konstantinos G. Margaritis, Vassilios Petridis, P. Adamidis, 1993 .

Short-term load forecasting using neural networks

S. J. Kiartzis, Anastasios G. Bakirtzis, Vassilios Petridis, 1995 .

A phase-locked regulator system study of a separately excited DC motor with triangular phase comparator

Vassilios Petridis, V. Petridis, N. Margaris, 1982 .

Predictive Modular Neural Networks for Time Series Classification

Athanasios Kehagias, Vassilios Petridis, A. Kehagias, 1997, Neural Networks.

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

Peter N. Brett, Vassilios Petridis, Vassilis G. Kaburlasos, 1999, IEEE Transactions on Information Technology in Biomedicine.