Alex Alexandridis

According to our database, Alex Alexandridis authored at least 31 papers between 2003 and 2023.

Collaborative distances:

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

2023

Subscripto multiplex: A Riemannian symmetric positive definite strategy for offline signature verification.

Elias N. Zois, Salem Said, Dimitrios Tsourounis, Alex Alexandridis

Pattern Recognit. Lett., March, 2023

A Machine Learning Model Ensemble for Mixed Power Load Forecasting across Multiple Time Horizons.

Nikolaos Giamarelos, Myron Papadimitrakis, Marios Stogiannos, Elias N. Zois, Nikolaos-Antonios I. Livanos, Alex Alexandridis

Sensors, 2023

Chess Position Evaluation Using Radial Basis Function Neural Networks.

Dimitrios Kagkas, Despina Karamichailidou, Alex Alexandridis

Complex., 2023

A Vessel Propulsion Controller based on Economic Model Predictive Control.

Myron Papadimitrakis, Alex Alexandridis

Proceedings of the American Control Conference, 2023

2022

An RBF online learning scheme for non-stationary environments based on fuzzy means and Givens rotations.

Despina Karamichailidou, Sotirios Koletsios, Alex Alexandridis

Neurocomputing, 2022

Modeling biogas production from anaerobic wastewater treatment plants using radial basis function networks and differential evolution.

Despina Karamichailidou, Alex Alexandridis, George Anagnostopoulos, George Syriopoulos, Odysseas Sekkas

Comput. Chem. Eng., 2022

Active vehicle suspension control using road preview model predictive control and radial basis function networks.

Myron Papadimitrakis, Alex Alexandridis

Appl. Soft Comput., 2022

2021

Multi-Ship Control and Collision Avoidance Using MPC and RBF-Based Trajectory Predictions.

Myron Papadimitrakis, Marios Stogiannos, Haralambos Sarimveis, Alex Alexandridis

Sensors, 2021

Short-Term Electric Load Forecasting With Sparse Coding Methods.

Nikolaos Giamarelos, Elias N. Zois, Myron Papadimitrakis, Marios Stogiannos, Nikolaos-Antonios I. Livanos, Alex Alexandridis

IEEE Access, 2021

Vessel Trajectory Prediction Using Radial Basis Function Neural Networks.

Marios Stogiannos, Myron Papadimitrakis, Haralambos Sarimveis, Alex Alexandridis

Proceedings of the 19th IEEE International Conference on Smart Technologies, 2021

2020

Multiobjective Optimization Algorithms for Wireless Sensor Networks.

Dionisis Kandris, Alex Alexandridis, Tasos Dagiuklas, Emmanouil Panaousis, Dimitrios D. Vergados

Wirel. Commun. Mob. Comput., 2020

An enhanced decentralized artificial immune-based strategy formulation algorithm for swarms of autonomous vehicles.

Marios Stogiannos, Alex Alexandridis, Haralambos Sarimveis

Appl. Soft Comput., 2020

2019

Writer independent offline signature verification based on asymmetric pixel relations and unrelated training-testing datasets.

Elias N. Zois, Alex Alexandridis, George Economou

Expert Syst. Appl., 2019

2018

An Inverse Neural Controller Based on the Applicability Domain of RBF Network Models.

Alex Alexandridis, Marios Stogiannos, Nikolaos Papaioannou, Elias N. Zois, Haralambos Sarimveis

Sensors, 2018

2017

A Fast and Efficient Method for Training Categorical Radial Basis Function Networks.

Alex Alexandridis, Eva Chondrodima, Nikolaos Giannopoulos, Haralambos Sarimveis

IEEE Trans. Neural Networks Learn. Syst., 2017

A particle swarm optimization approach in printed circuit board thermal design.

Alex Alexandridis, Evangelos Paizis, Eva Chondrodima, Marios Stogiannos

Integr. Comput. Aided Eng., 2017

2016

Cooperative learning for radial basis function networks using particle swarm optimization.

Alex Alexandridis, Eva Chondrodima, Haralambos Sarimveis

Appl. Soft Comput., 2016

2014

Large Earthquake Occurrence Estimation Based on Radial Basis Function Neural Networks.

Alex Alexandridis, Eva Chondrodima, Evangelos Efthimiou, Giorgos Papadakis, Filippos Vallianatos, Dimos Triantis

IEEE Trans. Geosci. Remote. Sens., 2014

A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing.

Alex Alexandridis, Eva Chondrodima

J. Biomed. Informatics, 2014

2013

Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization.

Alex Alexandridis, Eva Chondrodima, Haralambos Sarimveis

IEEE Trans. Neural Networks Learn. Syst., 2013

Evolving RBF Neural Networks for Adaptive Soft-Sensor Design.

Alex Alexandridis

Int. J. Neural Syst., 2013

2012

An adaptive soft-sensor for non-destructive cement-based material testing, through the use of RBF networks.

Alex Alexandridis, Dimos Triantis, Eva Chondrodima, Charalampos Stergiopoulos, George Hloupis, Ilias Stavrakas, Konstantinos Ninos

Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

An evolutionary-based approach in RBF neural network training.

Alex Alexandridis

Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

2011

A Radial Basis Function network training algorithm using a non-symmetric partition of the input space - Application to a Model Predictive Control configuration.

Alex Alexandridis, Haralambos Sarimveis, Konstantinos Ninos

Adv. Eng. Softw., 2011

2010

Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation.

Panagiotis Patrinos, Alex Alexandridis, Konstantinos Ninos, Haralambos Sarimveis

Int. J. Neural Syst., 2010

2008

A cellular automata model for forest fire spread prediction: The case of the wildfire that swept through Spetses Island in 1990.

Alex Alexandridis, D. Vakalis, Constantinos I. Siettos, George V. Bafas

Appl. Math. Comput., 2008

2006

A classification technique based on radial basis function neural networks.

Haralambos Sarimveis, Philip Doganis, Alex Alexandridis

Adv. Eng. Softw., 2006

2005

Discussion on: "Power Flow Control of a Doubly-Fed Induction Machine Coupled to a Flywheel".

Alex Alexandridis, Lucia Russo, Constantinos I. Siettos

Eur. J. Control, 2005

2004

A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms.

Haralambos Sarimveis, Alex Alexandridis, Stefanos Mazarakis, George V. Bafas

Comput. Chem. Eng., 2004

2003

A new algorithm for online structure and parameter adaptation of RBF networks.

Alex Alexandridis, Haralambos Sarimveis, George V. Bafas

Neural Networks, 2003

A fast training algorithm for RBF networks based on subtractive clustering.

Haralambos Sarimveis, Alex Alexandridis, George V. Bafas

Neurocomputing, 2003