Yiannis Kokkinos - Citegraph

Author Info

Name	Affiliation	Papers
YIANNIS KOKKINOS	Univ Macedonia, Parallel & Distributed Proc Lab, Dept Appl Informat, Thessaloniki 54006, Greece	18
Collaborators	Citations	PageRank
2	33	6.56
Referers	Referees	References
65	425	280

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100425

Publications (18 rows)

Collaborators (2 rows)

Referers (65 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Big data regression with parallel enhanced and convex incremental extreme learning machines.	0	0.34	2018
Kernel averaged gradient descent subtractive clustering for exemplar selection.	0	0.34	2018
Managing the computational cost of model selection and cross-validation in extreme learning machines via Cholesky, SVD, QR and eigen decompositions.	4	0.40	2018
Simulating parallel scalable probabilistic neural networks via exemplar selection and EM in a ring pipeline.	1	0.37	2018
Local learning regularization networks for localized regression.	1	0.35	2017
Exemplar Selection Via Leave-One-Out Kernel Averaged Gradient Descent And Subtractive Clustering	2	0.37	2016
Topology and simulations of a Hierarchical Markovian Radial Basis Function Neural Network classifier.	5	0.40	2015
Multithreaded Local Learning Regularization Neural Networks for Regression Tasks.	1	0.35	2015
Confidence ratio affinity propagation in ensemble selection of neural network classifiers for distributed privacy-preserving data mining.	9	0.44	2015
A fast progressive local learning regression ensemble of generalized regression neural networks	0	0.34	2015
Breaking Ties of Plurality Voting in Ensembles of Distributed Neural Network Classifiers Using Soft Max Accumulations.	0	0.34	2014
A distributed privacy-preserving regularization network committee machine of isolated Peer classifiers for P2P data mining	1	0.34	2014
A Parallel and Hierarchical Markovian RBF Neural Network: Preliminary Performance Evaluation.	1	0.35	2013
Parallel and local learning for fast probabilistic neural networks in scalable data mining	3	0.41	2013
A distributed asynchronous and privacy preserving neural network ensemble selection approach for peer-to-peer data mining	1	0.35	2012
Parallelism, localization and chain gradient tuning combinations for fast scalable probabilistic neural networks in data mining applications	2	0.37	2012
A Regularization Network Committee Machine of Isolated Regularization Networks for Distributed Privacy Preserving Data Mining.	1	0.36	2012
A Parallel Radial Basis Probabilistic Neural Network for Scalable Data Mining in Distributed Memory Machines	1	0.35	2012

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