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Alex Alexandridis
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2020 – today
- 2024
- [j28]Despina Karamichailidou, Georgios Gerolymatos, Panagiotis Patrinos, Haralambos Sarimveis, Alex Alexandridis
:
Radial basis function neural network training using variable projection and fuzzy means. Neural Comput. Appl. 36(33): 21137-21151 (2024) - 2023
- [j27]Dimitrios Kagkas, Despina Karamichailidou
Chess Position Evaluation Using Radial Basis Function Neural Networks. Complex. 2023: 7143943:1-7143943:16 (2023) - [j26]Elias N. Zois
Subscripto multiplex: A Riemannian symmetric positive definite strategy for offline signature verification. Pattern Recognit. Lett. 167: 67-74 (2023) - [j25]Nikolaos Giamarelos
A Machine Learning Model Ensemble for Mixed Power Load Forecasting across Multiple Time Horizons. Sensors 23(12): 5436 (2023) - [c4]Myron Papadimitrakis, Alex Alexandridis
A Vessel Propulsion Controller based on Economic Model Predictive Control. ACC 2023: 1825-1831 - 2022
- [j24]Myron Papadimitrakis
Active vehicle suspension control using road preview model predictive control and radial basis function networks. Appl. Soft Comput. 120: 108646 (2022) - [j23]Despina Karamichailidou, Alex Alexandridis
Modeling biogas production from anaerobic wastewater treatment plants using radial basis function networks and differential evolution. Comput. Chem. Eng. 157: 107629 (2022) - [j22]Despina Karamichailidou
An RBF online learning scheme for non-stationary environments based on fuzzy means and Givens rotations. Neurocomputing 501: 370-386 (2022) - 2021
- [j21]Nikolaos Giamarelos
Short-Term Electric Load Forecasting With Sparse Coding Methods. IEEE Access 9: 102847-102861 (2021) - [j20]Myron Papadimitrakis
Multi-Ship Control and Collision Avoidance Using MPC and RBF-Based Trajectory Predictions. Sensors 21(21): 6959 (2021) - [c3]Marios Stogiannos
Vessel Trajectory Prediction Using Radial Basis Function Neural Networks. EUROCON 2021: 113-118 - 2020
- [j19]Marios Stogiannos
An enhanced decentralized artificial immune-based strategy formulation algorithm for swarms of autonomous vehicles. Appl. Soft Comput. 89: 106135 (2020) - [j18]Dionisis Kandris
Multiobjective Optimization Algorithms for Wireless Sensor Networks. Wirel. Commun. Mob. Comput. 2020: 4652801:1-4652801:5 (2020)
2010 – 2019
- 2019
- [j17]Elias N. Zois
Writer independent offline signature verification based on asymmetric pixel relations and unrelated training-testing datasets. Expert Syst. Appl. 125: 14-32 (2019) - 2018
- [j16]Alex Alexandridis
An Inverse Neural Controller Based on the Applicability Domain of RBF Network Models. Sensors 18(1): 315 (2018) - 2017
- [j15]Alex Alexandridis
A particle swarm optimization approach in printed circuit board thermal design. Integr. Comput. Aided Eng. 24(2): 143-155 (2017) - [j14]Alex Alexandridis
A Fast and Efficient Method for Training Categorical Radial Basis Function Networks. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2831-2836 (2017) - 2016
- [j13]Alex Alexandridis
Cooperative learning for radial basis function networks using particle swarm optimization. Appl. Soft Comput. 49: 485-497 (2016) - 2014
- [j12]Alex Alexandridis
A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing. J. Biomed. Informatics 49: 61-72 (2014) - [j11]Alex Alexandridis
Large Earthquake Occurrence Estimation Based on Radial Basis Function Neural Networks. IEEE Trans. Geosci. Remote. Sens. 52(9): 5443-5453 (2014) - 2013
- [j10]Alex Alexandridis
Evolving RBF Neural Networks for Adaptive Soft-Sensor Design. Int. J. Neural Syst. 23(6) (2013) - [j9]Alex Alexandridis
Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization. IEEE Trans. Neural Networks Learn. Syst. 24(2): 219-230 (2013) - 2012
- [c2]Alex Alexandridis
An adaptive soft-sensor for non-destructive cement-based material testing, through the use of RBF networks. EAIS 2012: 51-56 - [c1]Alex Alexandridis
An evolutionary-based approach in RBF neural network training. EAIS 2012: 127-132 - 2011
- [j8]Alex Alexandridis
A Radial Basis Function network training algorithm using a non-symmetric partition of the input space - Application to a Model Predictive Control configuration. Adv. Eng. Softw. 42(10): 830-837 (2011) - 2010
- [j7]Panagiotis Patrinos
Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation. Int. J. Neural Syst. 20(5): 365-379 (2010)
2000 – 2009
- 2008
- [j6]Alex Alexandridis
A cellular automata model for forest fire spread prediction: The case of the wildfire that swept through Spetses Island in 1990. Appl. Math. Comput. 204(1): 191-201 (2008) - 2006
- [j5]Haralambos Sarimveis, Philip Doganis
A classification technique based on radial basis function neural networks. Adv. Eng. Softw. 37(4): 218-221 (2006) - 2005
- [j4]Alex Alexandridis
Discussion on: "Power Flow Control of a Doubly-Fed Induction Machine Coupled to a Flywheel". Eur. J. Control 11(3): 222-228 (2005) - 2004
- [j3]Haralambos Sarimveis, Alex Alexandridis
A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms. Comput. Chem. Eng. 28(1-2): 209-217 (2004) - 2003
- [j2]Haralambos Sarimveis, Alex Alexandridis
A fast training algorithm for RBF networks based on subtractive clustering. Neurocomputing 51: 501-505 (2003) - [j1]Alex Alexandridis
A new algorithm for online structure and parameter adaptation of RBF networks. Neural Networks 16(7): 1003-1017 (2003)
Coauthor Index
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