Y. Kokkinos

发表

Simulating parallel scalable probabilistic neural networks via exemplar selection and EM in a ring pipeline

Konstantinos G. Margaritis, Yiannis Kokkinos, K. Margaritis, 2017, J. Comput. Sci..

A Parallel Radial Basis Probabilistic Neural Network for Scalable Data Mining in Distributed Memory Machines

Konstantinos G. Margaritis, Yiannis Kokkinos, K. Margaritis, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

Parallelism, Localization and Chain Gradient Tuning Combinations for Fast Scalable Probabilistic Neural Networks in Data Mining Applications

Konstantinos G. Margaritis, Yiannis Kokkinos, K. Margaritis, 2012, SETN.

Managing the computational cost of model selection and cross-validation in extreme learning machines via Cholesky, SVD, QR and eigen decompositions

Konstantinos G. Margaritis, Yiannis Kokkinos, K. Margaritis, 2018, Neurocomputing.

Parallel and local learning for fast probabilistic neural networks in scalable data mining

Konstantinos G. Margaritis, Yiannis Kokkinos, K. Margaritis, 2013, BCI '13.

Distributed privacy-preserving P2P data mining via probabilistic neural network committee machines

Konstantinos G. Margaritis, Yiannis Kokkinos, K. Margaritis, 2013, IISA 2013.

A Parallel and Hierarchical Markovian RBF Neural Network: Preliminary Performance Evaluation

Konstantinos G. Margaritis, Yiannis Kokkinos, K. Margaritis, 2013, EANN.

Topology and simulations of a Hierarchical Markovian Radial Basis Function Neural Network classifier

Konstantinos G. Margaritis, Yiannis Kokkinos, K. Margaritis, 2015, Inf. Sci..

A distributed privacy-preserving regularization network committee machine of isolated Peer classifiers for P2P data mining

Konstantinos G. Margaritis, Yiannis Kokkinos, K. Margaritis, 2013, Artificial Intelligence Review.

A Regularization Network Committee Machine of Isolated Regularization Networks for Distributed Privacy Preserving Data Mining

Konstantinos G. Margaritis, Yiannis Kokkinos, K. Margaritis, 2012, AIAI.

Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning

I. Tagkopoulos, Minseung Kim, J. Elliott, 2019, Journal of veterinary internal medicine.

Breaking Ties of Plurality Voting in Ensembles of Distributed Neural Network Classifiers Using Soft Max Accumulations

Konstantinos G. Margaritis, Yiannis Kokkinos, K. Margaritis, 2014, AIAI.

Kernel averaged gradient descent subtractive clustering for exemplar selection

Konstantinos G. Margaritis, Yiannis Kokkinos, K. Margaritis, 2018, Evol. Syst..

Kernel averaged gradient descent subtractive clustering for exemplar selection

K. Margaritis, Y. Kokkinos, K. G. Margaritis, 2017, Evolving Systems.

Big data regression with parallel enhanced and convex incremental extreme learning machines

Konstantinos G. Margaritis, Yiannis Kokkinos, K. Margaritis, 2018, Comput. Intell..

A distributed privacy-preserving regularization network committee machine of isolated Peer classifiers for P2P data mining

K. Margaritis, Y. Kokkinos, 2014, Artificial Intelligence Review.

Local learning regularization networks for localized regression

Konstantinos G. Margaritis, Yiannis Kokkinos, K. Margaritis, 2017, Neural Computing and Applications.

An early prediction model for canine chronic kidney disease based on routine clinical laboratory tests

I. Tagkopoulos, Richard Bradley, Yiannis Kokkinos, 2022, Scientific reports.