Dušan Sovilj
Dušan Sovilj
Arctic Wolf Networks
Потвърден имейл адрес: arcticwolf.com
Deep learning with microfluidics for biotechnology
J Riordon, D Sovilj, S Sanner, D Sinton, EWK Young
Trends in biotechnology 37 (3), 310-324, 2019
Extreme learning machine for missing data using multiple imputations
D Sovilj, E Eirola, Y Miche, KM Björk, R Nian, A Akusok, A Lendasse
Neurocomputing 174, 220-231, 2016
Using extreme learning machine for intrusion detection in a big data environment
J Xiang, M Westerlund, D Sovilj, G Pulkkis
Proceedings of the 2014 workshop on artificial intelligent and security …, 2014
Minimising the delta test for variable selection in regression problems
A Guillen, D Sovilj, A Lendasse, F Mateo, I Rojas
International Journal of High Performance Systems Architecture 1 (4), 269-281, 2008
OPELM and OPKNN in long-term prediction of time series using projected input data
D Sovilj, A Sorjamaa, Q Yu, Y Miche, E Séverin
Neurocomputing 73 (10-12), 1976-1986, 2010
A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams
D Sovilj, P Budnarain, S Sanner, G Salmon, M Rao
Expert Systems with Applications 159, 113577, 2020
Climate induced changes in benthic macrofauna—a non-linear model approach
K Junker, D Sovilj, I Kröncke, JW Dippner
Journal of Marine Systems 96, 90-94, 2012
Approximate k-NN delta test minimization method using genetic algorithms: Application to time series
F Mateo, D Sovilj, R Gadea
Neurocomputing 73 (10), 2017-2029, 2010
Fast feature selection in a gpu cluster using the delta test
A Guillén, MIG Arenas, M Van Heeswijk, D Sovilj, A Lendasse, LJ Herrera, ...
Entropy 16 (2), 854-869, 2014
Extreme learning machines for multiclass classification: refining predictions with gaussian mixture models
E Eirola, A Gritsenko, A Akusok, KM Björk, Y Miche, D Sovilj, R Nian, B He, ...
Advances in Computational Intelligence: 13th International Work-Conference …, 2015
Investigating the Influence of Feature Sources for Malicious Website Detection
A Chaiban, D Sovilj, H Soliman, G Salmon, X Lin
Applied Sciences 12 (6), 2806, 2022
Comparison of combining methods using Extreme Learning Machines under small sample scenario
D Sovilj, KM Björk, A Lendasse
Neurocomputing 174, 4-17, 2016
Measuring and mitigating the costs of attentional switches in active network monitoring for cybersecurity
SW Kortschot, D Sovilj, GA Jamieson, S Sanner, C Carrasco, H Soh
Human factors 60 (7), 962-977, 2018
New methodologies based on delta test for variable selection in regression problems
A Guillén, D Sovilj, F Mateo, I Rojas, A Lendasse
Workshop on parallel architectures and bioinspired algorithms, Toronto, Canada, 2008
Tabu search with delta test for time series prediction using OP-KNN
D Sovilj, A Sorjamaa, Y Miche
ESTSP, European Symposium on Time Series Prediction, 187-196, 2008
An open source adaptive user interface for network monitoring
SW Kortschot, D Sovilj, H Soh, GA Jamieson, S Sanner, C Carrasco, ...
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
RCGA-S/RCGA-SP methods to minimize the delta test for regression tasks
F Mateo, D Sovilj, R Gadea, A Lendasse
Bio-Inspired Systems: Computational and Ambient Intelligence: 10th …, 2009
Collaborative filtering with behavioral models
D Sovilj, S Sanner, H Soh, H Li
Proceedings of the 26th Conference on User Modeling, Adaptation and …, 2018
Evolutive approaches for variable selection using a non-parametric noise estimator
A Guillén, D Sovilj, M van Heeswijk, LJ Herrera, A Lendasse, H Pomares, ...
Parallel architectures and bioinspired algorithms, 243-266, 2012
Extending Extreme Learning Machine with Combination Layer
D Sovilj, A Lendasse, O Simula
IWANN, 417-426, 2013
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