Dusan Sovilj

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 9

Top Venues

CoRR

Neurocomputing

SMC

ESANN

Aalto University, Helsinki, Finland (PHD)

Education History

Aalto University, Helsinki, Finland

PHD

Publications

Hazem M. Soliman, Geoff Salmon, Dusan Sovilj, Mohan Rao
RANK: AI-assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks. CoRR (2021)
Dusan Sovilj, Paul Budnarain, Scott Sanner, Geoff Salmon, Mohan Rao
A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams. Expert Syst. Appl. 159 (2020)
Hazem M. Soliman, Geoff Salmon, Dusan Sovilj, Mohan Rao
A Graph Neural Network Approach for Scalable and Dynamic IP Similarity in Enterprise Networks. CloudNet (2020)
Hazem M. Soliman, Geoff Salmon, Dusan Sovilj, Mohan Rao
A Graph Neural Network Approach for Scalable and Dynamic IP Similarity in Enterprise Networks. CoRR (2020)
Dusan Sovilj, Scott Sanner, Harold Soh, Hanze Li
Collaborative Filtering with Behavioral Models. UMAP (2018)
Sean W. Kortschot, Dusan Sovilj, Greg A. Jamieson, Scott Sanner, Chelsea Carrasco, Harold Soh
Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity. Hum. Factors 60 (7) (2018)
Sean W. Kortschot, Dusan Sovilj, Harold Soh, Greg A. Jamieson, Scott Sanner, Chelsea Carrasco, Scott Ralph, Scott Langevin
An open source adaptive user interface for network monitoring. SMC (2017)
Dusan Sovilj, Emil Eirola, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Anton Akusok, Amaury Lendasse
Extreme learning machine for missing data using multiple imputations. Neurocomputing 174 (2016)
Dusan Sovilj, Kaj-Mikael Björk, Amaury Lendasse
Comparison of combining methods using Extreme Learning Machines under small sample scenario. Neurocomputing 174 (2016)
Emil Eirola, Andrey Gritsenko, Anton Akusok, Kaj-Mikael Björk, Yoan Miche, Dusan Sovilj, Rui Nian, Bo He, Amaury Lendasse
Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models. IWANN (2) (2015)
Junlong Xiang, Magnus Westerlund, Dusan Sovilj, Göran Pulkkis
Using extreme learning machine for intrusion detection in a big data environment. AISec@CCS (2014)
Alberto Guillén, M. Isabel García Arenas, Mark van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
Fast Feature Selection in a GPU Cluster Using the Delta Test. Entropy 16 (2) (2014)
Dusan Sovilj, Amaury Lendasse, Olli Simula
Extending Extreme Learning Machine with Combination Layer. IWANN (1) (2013)
Andrej Gisbrecht, Dusan Sovilj, Barbara Hammer, Amaury Lendasse
Relevance learning for time series inspection. ESANN (2012)
Alberto Guillén, Mark van Heeswijk, Dusan Sovilj, Maribel García Arenas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
Variable Selection in a GPU Cluster Using Delta Test. IWANN (1) (2011)
Dusan Sovilj
Multistart Strategy Using Delta Test for Variable Selection. ICANN (2) (2011)
Dusan Sovilj, Tapani Raiko, Erkki Oja
Extending Self-Organizing Maps with uncertainty information of probabilistic PCA. IJCNN (2010)
Dusan Sovilj, Antti Sorjamaa, Qi Yu, Yoan Miche, Eric Séverin
OPELM and OPKNN in long-term prediction of time series using projected input data. Neurocomputing 73 (10-12) (2010)
Fernando Mateo, Dusan Sovilj, Rafael Gadea Gironés
Approximate k-NN delta test minimization method using genetic algorithms: Application to time series. Neurocomputing 73 (10-12) (2010)
Fernando Mateo, Dusan Sovilj, Rafael Gadea Gironés, Amaury Lendasse
RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks. IWANN (1) (2009)
Alberto Guillén, Dusan Sovilj, Amaury Lendasse, Fernando Mateo, Ignacio Rojas
Minimising the delta test for variable selection in regression problems. Int. J. High Perform. Syst. Archit. 1 (4) (2008)

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Publication Activity (10 Years)

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Dusan Sovilj