A fast training algorithm for RBF networks based on subtractive clustering. - Haralambos Sarimveis; Alex Alexandridis; George V. Bafas (Neurocomputing, 2003)

A new algorithm for online structure and parameter adaptation of RBF networks. - Alex Alexandridis; Haralambos Sarimveis; George V. Bafas (Neural Networks, 2003)

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)

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)

A classification technique based on radial basis function neural networks. - Haralambos Sarimveis; Philip Doganis; Alex Alexandridis (Adv. Eng. Softw., 2006)

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)

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)

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)

An evolutionary-based approach in RBF neural network training. - Alex Alexandridis (EAIS, 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 (EAIS, 2012)

Evolving RBF Neural Networks for Adaptive Soft-Sensor Design. - Alex Alexandridis (Int. J. Neural Syst., 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)

A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing. - Alex Alexandridis; Eva Chondrodima (J. Biomed. Informatics, 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)

Cooperative learning for radial basis function networks using particle swarm optimization. - Alex Alexandridis; Eva Chondrodima; Haralambos Sarimveis (Appl. Soft Comput., 2016)

A particle swarm optimization approach in printed circuit board thermal design. - Alex Alexandridis; Evangelos Paizis; Eva Chondrodima; Marios Stogiannos (Integr. Comput. Aided Eng., 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)

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)

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)

An enhanced decentralized artificial immune-based strategy formulation algorithm for swarms of autonomous vehicles. - Marios Stogiannos; Alex Alexandridis; Haralambos Sarimveis (Appl. Soft Comput., 2020)

Multiobjective Optimization Algorithms for Wireless Sensor Networks. - Dionisis Kandris; Alex Alexandridis; Tasos Dagiuklas; Emmanouil Panaousis; Dimitrios D. Vergados (Wirel. Commun. Mob. Comput., 2020)

Vessel Trajectory Prediction Using Radial Basis Function Neural Networks. - Marios Stogiannos; Myron Papadimitrakis; Haralambos Sarimveis; Alex Alexandridis (EUROCON, 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)

Multi-Ship Control and Collision Avoidance Using MPC and RBF-Based Trajectory Predictions. - Myron Papadimitrakis; Marios Stogiannos; Haralambos Sarimveis; Alex Alexandridis (Sensors, 2021)

Active vehicle suspension control using road preview model predictive control and radial basis function networks. - Myron Papadimitrakis; Alex Alexandridis (Appl. Soft Comput., 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)

An RBF online learning scheme for non-stationary environments based on fuzzy means and Givens rotations. - Despina Karamichailidou; Sotirios Koletsios; Alex Alexandridis (Neurocomputing, 2022)

A Vessel Propulsion Controller based on Economic Model Predictive Control. - Myron Papadimitrakis; Alex Alexandridis (ACC, 2023)

Chess Position Evaluation Using Radial Basis Function Neural Networks. - Dimitrios Kagkas; Despina Karamichailidou; Alex Alexandridis (Complex., 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)

Subscripto multiplex: A Riemannian symmetric positive definite strategy for offline signature verification. - Elias N. Zois; Salem Said; Dimitrios Tsourounis; Alex Alexandridis (Pattern Recognit. Lett., 2023)

Radial basis function neural network training using variable projection and fuzzy means. - Despina Karamichailidou; Georgios Gerolymatos; Panagiotis Patrinos; Haralambos Sarimveis; Alex Alexandridis (Neural Comput. Appl., 2024)

Quadcopter Attitude Control using Nonlinear MPC and RBF Neural Networks. - Spyridon K. Papadopoulos; Teo Protoulis; Alex Alexandridis (MED, 2025)

Control of wastewater treatment plants using economic-oriented MPC and attention-based RNN disturbance prediction models. - Teo Protoulis; Ioannis Kordatos; Ioannis Kalogeropoulos; Haralambos Sarimveis; Alex Alexandridis (Comput. Chem. Eng., 2025)