Yiannis Kokkinos

Publication Activity (10 Years)

Years Active: 2012-2018
Publications (10 Years): 10

Top Topics

Extreme Learning Machines

Ensemble Selection

Top Venues

Publications

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 (2018)
Yiannis Kokkinos, Konstantinos G. Margaritis
Simulating parallel scalable probabilistic neural networks via exemplar selection and EM in a ring pipeline. J. Comput. Sci. 25 (2018)
Yiannis Kokkinos, Konstantinos G. Margaritis
Kernel averaged gradient descent subtractive clustering for exemplar selection. Evol. Syst. 9 (4) (2018)
Yiannis Kokkinos, Konstantinos G. Margaritis
Big data regression with parallel enhanced and convex incremental extreme learning machines. Comput. Intell. 34 (3) (2018)
Yiannis Kokkinos, Konstantinos G. Margaritis
Local learning regularization networks for localized regression. Neural Comput. Appl. 28 (6) (2017)
Yiannis Kokkinos, Konstantinos G. Margaritis
Exemplar Selection via Leave-One-Out Kernel Averaged Gradient Descent and Subtractive Clustering. AIAI (2016)
Yiannis Kokkinos, Konstantinos G. Margaritis
A fast progressive local learning regression ensemble of generalized regression neural networks. Panhellenic Conference on Informatics (2015)
Yiannis Kokkinos, Konstantinos G. Margaritis
Multithreaded Local Learning Regularization Neural Networks for Regression Tasks. EANN (2015)
Yiannis Kokkinos, Konstantinos G. Margaritis
Topology and simulations of a Hierarchical Markovian Radial Basis Function Neural Network classifier. Inf. Sci. 294 (2015)
Yiannis Kokkinos, Konstantinos G. Margaritis
Confidence ratio affinity propagation in ensemble selection of neural network classifiers for distributed privacy-preserving data mining. Neurocomputing 150 (2015)
Yiannis Kokkinos, Konstantinos G. Margaritis
Breaking Ties of Plurality Voting in Ensembles of Distributed Neural Network Classifiers Using Soft Max Accumulations. AIAI (2014)
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) (2014)
Yiannis Kokkinos, Konstantinos G. Margaritis
Distributed privacy-preserving P2P data mining via probabilistic neural network committee machines. IISA (2013)
Yiannis Kokkinos, Konstantinos G. Margaritis
A Parallel and Hierarchical Markovian RBF Neural Network: Preliminary Performance Evaluation. EANN (1) (2013)
Yiannis Kokkinos, Konstantinos G. Margaritis
Parallel and local learning for fast probabilistic neural networks in scalable data mining. BCI (2013)
Yiannis Kokkinos, Konstantinos G. Margaritis
Parallelism, Localization and Chain Gradient Tuning Combinations for Fast Scalable Probabilistic Neural Networks in Data Mining Applications. SETN (2012)
Yiannis Kokkinos, Konstantinos G. Margaritis
A Regularization Network Committee Machine of Isolated Regularization Networks for Distributed Privacy Preserving Data Mining. AIAI (1) (2012)
Yiannis Kokkinos, Konstantinos G. Margaritis
A distributed asynchronous and privacy preserving neural network ensemble selection approach for peer-to-peer data mining. BCI (2012)
Yiannis Kokkinos, Konstantinos G. Margaritis
A Parallel Radial Basis Probabilistic Neural Network for Scalable Data Mining in Distributed Memory Machines. ICTAI (2012)