| Managing the computational cost of model selection and cross-validation in extreme learning machines via Cholesky, SVD, QR and eigen decompositions Y Kokkinos, KG Margaritis Neurocomputing 295, 29-45, 2018 | 37 | 2018 |
| Confidence ratio affinity propagation in ensemble selection of neural network classifiers for distributed privacy-preserving data mining Y Kokkinos, KG Margaritis Neurocomputing 150, 513-528, 2015 | 23 | 2015 |
| Topology and simulations of a hierarchical markovian radial basis function neural network classifier Y Kokkinos, KG Margaritis Information Sciences 294, 612-627, 2015 | 17 | 2015 |
| Breaking ties of plurality voting in ensembles of distributed neural network classifiers using soft max accumulations Y Kokkinos, KG Margaritis Artificial Intelligence Applications and Innovations: 10th IFIP WG 12.5 …, 2014 | 11 | 2014 |
| Simulating parallel scalable probabilistic neural networks via exemplar selection and EM in a ring pipeline Y Kokkinos, KG Margaritis Journal of Computational Science 25, 260-279, 2018 | 9 | 2018 |
| Distributed privacy-preserving P2P data mining via probabilistic neural network committee machines Y Kokkinos, K Margaritis IISA 2013, 1-4, 2013 | 9 | 2013 |
| Kernel averaged gradient descent subtractive clustering for exemplar selection Y Kokkinos, KG Margaritis Evolving Systems 9 (4), 285-297, 2018 | 7 | 2018 |
| A Parallel Radial Basis Probabilistic Neural Network for scalable data mining in distributed memory machines Y Kokkinos, K Margaritis 2012 IEEE 24th International Conference on Tools with Artificial …, 2012 | 6 | 2012 |
| Multithreaded local learning regularization neural networks for regression tasks Y Kokkinos, KG Margaritis Engineering Applications of Neural Networks: 16th International Conference …, 2015 | 5 | 2015 |
| A distributed privacy-preserving regularization network committee machine of isolated Peer classifiers for P2P data mining Y Kokkinos, KG Margaritis Artificial Intelligence Review 42, 385-402, 2014 | 5 | 2014 |
| Parallel and local learning for fast Probabilistic Neural Networks in scalable data mining Y Kokkinos, KG Margaritis Proceedings of the 6th Balkan Conference in Informatics, 47-52, 2013 | 5 | 2013 |
| Local learning regularization networks for localized regression Y Kokkinos, KG Margaritis Neural Computing and Applications 28, 1309-1328, 2017 | 4 | 2017 |
| A fast progressive local learning regression ensemble of generalized regression neural networks Y Kokkinos, KG Margaritis Proceedings of the 19th Panhellenic Conference on Informatics, 109-114, 2015 | 3 | 2015 |
| A distributed asynchronous and privacy preserving neural network ensemble selection approach for peer-to-peer data mining Y Kokkinos, KG Margaritis Proceedings of the Fifth Balkan Conference in Informatics, 46-51, 2012 | 3 | 2012 |
| Parallelism, localization and chain gradient tuning combinations for fast scalable probabilistic neural networks in data mining applications Y Kokkinos, K Margaritis Artificial Intelligence: Theories and Applications: 7th Hellenic Conference …, 2012 | 3 | 2012 |
| Big data regression with parallel enhanced and convex incremental extreme learning machines Y Kokkinos, KG Margaritis Computational Intelligence 34 (3), 875-894, 2018 | 2 | 2018 |
| Exemplar selection via leave-one-out kernel averaged gradient descent and Subtractive Clustering Y Kokkinos, KG Margaritis Artificial Intelligence Applications and Innovations: 12th IFIP WG 12.5 …, 2016 | 2 | 2016 |
| A Regularization Network committee machine of isolated Regularization Networks for distributed privacy preserving data mining Y Kokkinos, KG Margaritis Artificial Intelligence Applications and Innovations: 8th IFIP WG 12.5 …, 2012 | 2 | 2012 |
| A parallel and hierarchical Markovian RBF neural network: preliminary performance evaluation Y Kokkinos, K Margaritis Engineering Applications of Neural Networks: 14th International Conference …, 2013 | 1 | 2013 |
| Large scale data mining via parallel and distributed neural networks and machine learning schemes Y Kokkinos Πανεπιστήμιο Μακεδονίας. Σχολή Επιστημών Πληροφορίας. Τμήμα Εφαρμοσμένης …, 2016 | | 2016 |
