Yiannis Kokkinos

20 papers B 1C 1Misc 2Journal 8Unranked 7

Year	Rank	Type	Title / Venue / Authors
2018	J	`jnl`	Big data regression with parallel enhanced and convex incremental extreme learning machines. Comput. Intell. Yiannis Kokkinos, Konstantinos G. Margaritis
2018	J	`jnl`	Kernel averaged gradient descent subtractive clustering for exemplar selection. Evol. Syst. Yiannis Kokkinos, Konstantinos G. Margaritis
2018	J	`jnl`	Managing the computational cost of model selection and cross-validation in extreme learning machines via Cholesky, SVD, QR and eigen decompositions. Neurocomputing Yiannis Kokkinos, Konstantinos G. Margaritis
2018	J	`jnl`	Simulating parallel scalable probabilistic neural networks via exemplar selection and EM in a ring pipeline. J. Comput. Sci. Yiannis Kokkinos, Konstantinos G. Margaritis
2017	J	`jnl`	Local learning regularization networks for localized regression. Neural Comput. Appl. Yiannis Kokkinos, Konstantinos G. Margaritis
2016	Misc	`conf`	Exemplar Selection via Leave-One-Out Kernel Averaged Gradient Descent and Subtractive Clustering. AIAI Yiannis Kokkinos, Konstantinos G. Margaritis
2016	—	`—`	Large scale data mining via parallel and distributed neural networks and machine learning schemes Yiannis Kokkinos
2015	—	`conf`	A fast progressive local learning regression ensemble of generalized regression neural networks. Panhellenic Conference on Informatics Yiannis Kokkinos, Konstantinos G. Margaritis
2015	J	`jnl`	Confidence ratio affinity propagation in ensemble selection of neural network classifiers for distributed privacy-preserving data mining. Neurocomputing Yiannis Kokkinos, Konstantinos G. Margaritis
2015	C	`conf`	Multithreaded Local Learning Regularization Neural Networks for Regression Tasks. EANN Yiannis Kokkinos, Konstantinos G. Margaritis
2015	J	`jnl`	Topology and simulations of a Hierarchical Markovian Radial Basis Function Neural Network classifier. Inf. Sci. Yiannis Kokkinos, Konstantinos G. Margaritis
2014	J	`jnl`	A distributed privacy-preserving regularization network committee machine of isolated Peer classifiers for P2P data mining. Artif. Intell. Rev. Yiannis Kokkinos, Konstantinos G. Margaritis
2014	Misc	`conf`	Breaking Ties of Plurality Voting in Ensembles of Distributed Neural Network Classifiers Using Soft Max Accumulations. AIAI Yiannis Kokkinos, Konstantinos G. Margaritis
2013	—	`conf`	A Parallel and Hierarchical Markovian RBF Neural Network: Preliminary Performance Evaluation. EANN (1) Yiannis Kokkinos, Konstantinos G. Margaritis
2013	—	`conf`	Distributed privacy-preserving P2P data mining via probabilistic neural network committee machines. IISA Yiannis Kokkinos, Konstantinos G. Margaritis
2013	—	`conf`	Parallel and local learning for fast probabilistic neural networks in scalable data mining. BCI Yiannis Kokkinos, Konstantinos G. Margaritis
2012	B	`conf`	A Parallel Radial Basis Probabilistic Neural Network for Scalable Data Mining in Distributed Memory Machines. ICTAI Yiannis Kokkinos, Konstantinos G. Margaritis
2012	—	`conf`	A Regularization Network Committee Machine of Isolated Regularization Networks for Distributed Privacy Preserving Data Mining. AIAI (1) Yiannis Kokkinos, Konstantinos G. Margaritis
2012	—	`conf`	A distributed asynchronous and privacy preserving neural network ensemble selection approach for peer-to-peer data mining. BCI Yiannis Kokkinos, Konstantinos G. Margaritis
2012	—	`conf`	Parallelism, Localization and Chain Gradient Tuning Combinations for Fast Scalable Probabilistic Neural Networks in Data Mining Applications. SETN Yiannis Kokkinos, Konstantinos G. Margaritis