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Neural Networks : the Official Journal of the International Neural Network Society|January 13, 2001
Fuzzy lattice neurocomputing (FLN) modelsV G Kaburlasos, V Petridis
IEEE Transactions on Neural Networks|February 8, 2008
Fuzzy lattice neural network (FLNN): a hybrid model for learningV Petridis, V G Kaburlasos
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|March 17, 2000
Estimation of the stapes-bone thickness in the stapedotomy surgical procedure using a machine-learning techniqueV G Kaburlasos, V Petridis, P N Brett, et al.
Studies in Health Technology and Informatics|December 10, 2014
A proposal of Texture Features for interactive CTA Segmentation by Active LearningJ Maiora, G A Papakostas, V G Kaburlasos, et al.
IEEE Transactions on Neural Networks|January 1, 1995
On the properties of the feedforward method: A simple training law for on-chip learningV Petridis, K Paraschidis
IEEE Transactions on Neural Networks|February 5, 2008
Predictive modular neural networks for unsupervised segmentation of switching time series: the data allocation problemA Kehagias, V Petridis
IEEE Transactions on Neural Networks|January 1, 1996
Modular neural networks for MAP classification of time series and the partition algorithmV Petridis, A Kehagias
IEEE Transactions on Neural Networks|February 8, 2008
A hybrid neural-genetic multimodel parameter estimation algorithmV Petridis, E Paterakis, A Kehagias
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|February 8, 2008
Varying fitness functions in genetic algorithm constrained optimization: the cutting stock and unit commitment problemsV Petridis, S Kazarlis, A Bakirtzis
Journal of Autism and Developmental Disorders|November 4, 2022
Effectiveness of a Robot-Assisted Psychological Intervention for Children with Autism Spectrum DisorderVasiliki Holeva, V A Nikopoulou, C Lytridis, et al.
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