Dusan Sovilj

According to our database1, Dusan Sovilj authored at least 22 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


RANK: AI-assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks.
CoRR, 2021

A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams.
Expert Syst. Appl., 2020

A Graph Neural Network Approach for Scalable and Dynamic IP Similarity in Enterprise Networks.
Proceedings of the 9th IEEE International Conference on Cloud Networking, 2020

Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity.
Hum. Factors, 2018

Collaborative Filtering with Behavioral Models.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

An open source adaptive user interface for network monitoring.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Extreme learning machine for missing data using multiple imputations.
Neurocomputing, 2016

Comparison of combining methods using Extreme Learning Machines under small sample scenario.
Neurocomputing, 2016

Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models.
Proceedings of the Advances in Computational Intelligence, 2015

Learning Methods for Variable Selection and Time Series Prediction.
PhD thesis, 2014

Fast Feature Selection in a GPU Cluster Using the Delta Test.
Entropy, 2014

Using extreme learning machine for intrusion detection in a big data environment.
Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop, 2014

Extending Extreme Learning Machine with Combination Layer.
Proceedings of the Advances in Computational Intelligence, 2013

Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator.
Proceedings of the Parallel Architectures and Bioinspired Algorithms, 2012

Relevance learning for time series inspection.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Variable Selection in a GPU Cluster Using Delta Test.
Proceedings of the Advances in Computational Intelligence, 2011

Multistart Strategy Using Delta Test for Variable Selection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

OPELM and OPKNN in long-term prediction of time series using projected input data.
Neurocomputing, 2010

Approximate k-NN delta test minimization method using genetic algorithms: Application to time series.
Neurocomputing, 2010

Extending Self-Organizing Maps with uncertainty information of probabilistic PCA.
Proceedings of the International Joint Conference on Neural Networks, 2010

RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Minimising the delta test for variable selection in regression problems.
Int. J. High Perform. Syst. Archit., 2008