Dusan Sovilj

According to our database, Dusan Sovilj authored at least 24 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

RANK: AI-Assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks.

Hazem M. Soliman, Dusan Sovilj, Geoff Salmon, Mohan Rao, Niranjan Mayya

IEEE Trans. Dependable Secur. Comput., 2024

Advancing Malicious Website Identification: A Machine Learning Approach Using Granular Feature Analysis.

Kinh Tran, Dusan Sovilj

CoRR, 2024

2021

RANK: AI-assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks.

Hazem M. Soliman, Geoff Salmon, Dusan Sovilj, Mohan Rao

CoRR, 2021

2020

A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams.

Dusan Sovilj, Paul Budnarain, Scott Sanner, Geoff Salmon, Mohan Rao

Expert Syst. Appl., 2020

A Graph Neural Network Approach for Scalable and Dynamic IP Similarity in Enterprise Networks.

Hazem M. Soliman, Geoff Salmon, Dusan Sovilj, Mohan Rao

Proceedings of the 9th IEEE International Conference on Cloud Networking, 2020

2018

Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity.

Sean W. Kortschot, Dusan Sovilj, Greg A. Jamieson, Scott Sanner, Chelsea Carrasco, Harold Soh

Hum. Factors, 2018

Collaborative Filtering with Behavioral Models.

Dusan Sovilj, Scott Sanner, Harold Soh, Hanze Li

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

2017

An open source adaptive user interface for network monitoring.

Sean W. Kortschot, Dusan Sovilj, Harold Soh, Greg A. Jamieson, Scott Sanner, Chelsea Carrasco, Scott Ralph, Scott Langevin

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016

Extreme learning machine for missing data using multiple imputations.

Dusan Sovilj, Emil Eirola, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Anton Akusok, Amaury Lendasse

Neurocomputing, 2016

Comparison of combining methods using Extreme Learning Machines under small sample scenario.

Dusan Sovilj, Kaj-Mikael Björk, Amaury Lendasse

Neurocomputing, 2016

2015

Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models.

Emil Eirola, Andrey Gritsenko, Anton Akusok, Kaj-Mikael Björk, Yoan Miche, Dusan Sovilj, Rui Nian, Bo He, Amaury Lendasse

Proceedings of the Advances in Computational Intelligence, 2015

2014

Learning Methods for Variable Selection and Time Series Prediction.

Dusan Sovilj

PhD thesis, 2014

Fast Feature Selection in a GPU Cluster Using the Delta Test.

Alberto Guillén, M. Isabel García Arenas, Mark van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas

Entropy, 2014

Using extreme learning machine for intrusion detection in a big data environment.

Junlong Xiang, Magnus Westerlund, Dusan Sovilj, Göran Pulkkis

Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop, 2014

2013

Extending Extreme Learning Machine with Combination Layer.

Dusan Sovilj, Amaury Lendasse, Olli Simula

Proceedings of the Advances in Computational Intelligence, 2013

2012

Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator.

Alberto Guillén, Dusan Sovilj, Mark van Heeswijk, Luis Javier Herrera, Amaury Lendasse, Héctor Pomares, Ignacio Rojas

Proceedings of the Parallel Architectures and Bioinspired Algorithms, 2012

Relevance learning for time series inspection.

Andrej Gisbrecht, Dusan Sovilj, Barbara Hammer, Amaury Lendasse

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

Variable Selection in a GPU Cluster Using Delta Test.

Alberto Guillén, Mark van Heeswijk, Dusan Sovilj, Maribel García Arenas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas

Proceedings of the Advances in Computational Intelligence, 2011

Multistart Strategy Using Delta Test for Variable Selection.

Dusan Sovilj

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

OPELM and OPKNN in long-term prediction of time series using projected input data.

Dusan Sovilj, Antti Sorjamaa, Qi Yu, Yoan Miche, Eric Séverin

Neurocomputing, 2010

Approximate k-NN delta test minimization method using genetic algorithms: Application to time series.

Fernando Mateo, Dusan Sovilj, Rafael Gadea Gironés

Neurocomputing, 2010

Extending Self-Organizing Maps with uncertainty information of probabilistic PCA.

Dusan Sovilj, Tapani Raiko, Erkki Oja

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks.

Fernando Mateo, Dusan Sovilj, Rafael Gadea Gironés, Amaury Lendasse

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2008

Minimising the delta test for variable selection in regression problems.

Alberto Guillén, Dusan Sovilj, Amaury Lendasse, Fernando Mateo, Ignacio Rojas

Int. J. High Perform. Syst. Archit., 2008