Yiannis Kokkinos
Orcid: 0000-0002-8572-3317Affiliations:
- University of Macedonia, Thessaloniki, Greece
According to our database1,
Yiannis Kokkinos
authored at least 20 papers
between 2012 and 2018.
Collaborative distances:
Collaborative distances:
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Bibliography
2018
Simulating parallel scalable probabilistic neural networks via exemplar selection and EM in a ring pipeline.
J. Comput. Sci., 2018
Managing the computational cost of model selection and cross-validation in extreme learning machines via Cholesky, SVD, QR and eigen decompositions.
Neurocomputing, 2018
Evol. Syst., 2018
Big data regression with parallel enhanced and convex incremental extreme learning machines.
Comput. Intell., 2018
2017
Neural Comput. Appl., 2017
2016
Large scale data mining via parallel and distributed neural networks and machine learning schemes
PhD thesis, 2016
Exemplar Selection via Leave-One-Out Kernel Averaged Gradient Descent and Subtractive Clustering.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016
2015
Topology and simulations of a Hierarchical Markovian Radial Basis Function Neural Network classifier.
Inf. Sci., 2015
Confidence ratio affinity propagation in ensemble selection of neural network classifiers for distributed privacy-preserving data mining.
Neurocomputing, 2015
A fast progressive local learning regression ensemble of generalized regression neural networks.
Proceedings of the 19th Panhellenic Conference on Informatics, 2015
Proceedings of the Engineering Applications of Neural Networks, 2015
2014
A distributed privacy-preserving regularization network committee machine of isolated Peer classifiers for P2P data mining.
Artif. Intell. Rev., 2014
Breaking Ties of Plurality Voting in Ensembles of Distributed Neural Network Classifiers Using Soft Max Accumulations.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014
2013
Distributed privacy-preserving P2P data mining via probabilistic neural network committee machines.
Proceedings of the 4th International Conference on Information, 2013
A Parallel and Hierarchical Markovian RBF Neural Network: Preliminary Performance Evaluation.
Proceedings of the Engineering Applications of Neural Networks, 2013
Parallel and local learning for fast probabilistic neural networks in scalable data mining.
Proceedings of the Balkan Conference in Informatics, 2013
2012
Parallelism, Localization and Chain Gradient Tuning Combinations for Fast Scalable Probabilistic Neural Networks in Data Mining Applications.
Proceedings of the Artificial Intelligence: Theories and Applications, 2012
A Regularization Network Committee Machine of Isolated Regularization Networks for Distributed Privacy Preserving Data Mining.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012
A Parallel Radial Basis Probabilistic Neural Network for Scalable Data Mining in Distributed Memory Machines.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
A distributed asynchronous and privacy preserving neural network ensemble selection approach for peer-to-peer data mining.
Proceedings of the Balkan Conference in Informatics, 2012, 2012