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ORCIDYiannis Kokkinos
Person information
- affiliation: University of Macedonia, Thessaloniki, Greece
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2010 – 2019
- 2018
[j8]Yiannis Kokkinos
, Konstantinos G. Margaritis:
Big data regression with parallel enhanced and convex incremental extreme learning machines. Comput. Intell. 34(3): 875-894 (2018)- [j7]Yiannis Kokkinos, Konstantinos G. Margaritis:
Kernel averaged gradient descent subtractive clustering for exemplar selection. Evol. Syst. 9(4): 285-297 (2018) - [j6]Yiannis Kokkinos, Konstantinos G. Margaritis:
Managing the computational cost of model selection and cross-validation in extreme learning machines via Cholesky, SVD, QR and eigen decompositions. Neurocomputing 295: 29-45 (2018) - [j5]Yiannis Kokkinos, Konstantinos G. Margaritis:
Simulating parallel scalable probabilistic neural networks via exemplar selection and EM in a ring pipeline. J. Comput. Sci. 25: 260-279 (2018) - 2017
- [j4]Yiannis Kokkinos, Konstantinos G. Margaritis:
Local learning regularization networks for localized regression. Neural Comput. Appl. 28(6): 1309-1328 (2017) - 2016
- [b1]Yiannis Kokkinos:
Large scale data mining via parallel and distributed neural networks and machine learning schemes. University of Macedonia, Thessaloniki, Greece, 2016 - [c11]Yiannis Kokkinos, Konstantinos G. Margaritis:
Exemplar Selection via Leave-One-Out Kernel Averaged Gradient Descent and Subtractive Clustering. AIAI 2016: 292-304 - 2015
- [j3]Yiannis Kokkinos, Konstantinos G. Margaritis:
Confidence ratio affinity propagation in ensemble selection of neural network classifiers for distributed privacy-preserving data mining. Neurocomputing 150: 513-528 (2015) - [j2]Yiannis Kokkinos, Konstantinos G. Margaritis:
Topology and simulations of a Hierarchical Markovian Radial Basis Function Neural Network classifier. Inf. Sci. 294: 612-627 (2015) - [c10]Yiannis Kokkinos, Konstantinos G. Margaritis:
Multithreaded Local Learning Regularization Neural Networks for Regression Tasks. EANN 2015: 129-138 - [c9]Yiannis Kokkinos, Konstantinos G. Margaritis:
A fast progressive local learning regression ensemble of generalized regression neural networks. Panhellenic Conference on Informatics 2015: 109-114 - 2014
- [j1]Yiannis Kokkinos, Konstantinos G. Margaritis:
A distributed privacy-preserving regularization network committee machine of isolated Peer classifiers for P2P data mining. Artif. Intell. Rev. 42(3): 385-402 (2014) - [c8]Yiannis Kokkinos, Konstantinos G. Margaritis:
Breaking Ties of Plurality Voting in Ensembles of Distributed Neural Network Classifiers Using Soft Max Accumulations. AIAI 2014: 20-28 - 2013
- [c7]Yiannis Kokkinos, Konstantinos G. Margaritis:
Parallel and local learning for fast probabilistic neural networks in scalable data mining. BCI 2013: 47-52 - [c6]Yiannis Kokkinos, Konstantinos G. Margaritis:
A Parallel and Hierarchical Markovian RBF Neural Network: Preliminary Performance Evaluation. EANN (1) 2013: 340-349 - [c5]Yiannis Kokkinos, Konstantinos G. Margaritis:
Distributed privacy-preserving P2P data mining via probabilistic neural network committee machines. IISA 2013: 1-4 - 2012
- [c4]Yiannis Kokkinos, Konstantinos G. Margaritis:
A distributed asynchronous and privacy preserving neural network ensemble selection approach for peer-to-peer data mining. BCI 2012: 46-51 - [c3]Yiannis Kokkinos, Konstantinos G. Margaritis:
A Parallel Radial Basis Probabilistic Neural Network for Scalable Data Mining in Distributed Memory Machines. ICTAI 2012: 1094-1099 - [c2]Yiannis Kokkinos, Konstantinos G. Margaritis:
A Regularization Network Committee Machine of Isolated Regularization Networks for Distributed Privacy Preserving Data Mining. AIAI (1) 2012: 97-106 - [c1]Yiannis Kokkinos, Konstantinos G. Margaritis:
Parallelism, Localization and Chain Gradient Tuning Combinations for Fast Scalable Probabilistic Neural Networks in Data Mining Applications. SETN 2012: 41-48
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