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2020 – today
- 2024
[j9]Hazem M. Soliman
, Dusan Sovilj, Geoff Salmon, Mohan Rao, Niranjan Mayya:
RANK: AI-Assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks. IEEE Trans. Dependable Secur. Comput. 21(4): 3834-3850 (2024)- [i3]Kinh Tran, Dusan Sovilj:
Advancing Malicious Website Identification: A Machine Learning Approach Using Granular Feature Analysis. CoRR abs/2409.07608 (2024) - 2021
- [i2]Hazem M. Soliman, Geoff Salmon, Dusan Sovilj, Mohan Rao:
RANK: AI-assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks. CoRR abs/2101.02573 (2021) - 2020
- [j8]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: 113577 (2020) - [c11]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: 1-6 - [i1]Hazem M. Soliman, Geoff Salmon, Dusan Sovilj, Mohan Rao:
A Graph Neural Network Approach for Scalable and Dynamic IP Similarity in Enterprise Networks. CoRR abs/2010.04777 (2020)
2010 – 2019
- 2018
- [j7]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): 962-977 (2018) - [c10]Dusan Sovilj, Scott Sanner, Harold Soh, Hanze Li:
Collaborative Filtering with Behavioral Models. UMAP 2018: 91-99 - 2017
- [c9]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: 1535-1539 - 2016
- [j6]Dusan Sovilj, Kaj-Mikael Björk, Amaury Lendasse:
Comparison of combining methods using Extreme Learning Machines under small sample scenario. Neurocomputing 174: 4-17 (2016) - [j5]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: 220-231 (2016) - 2015
- [c8]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: 153-164 - 2014
- [b1]Dusan Sovilj:
Learning Methods for Variable Selection and Time Series Prediction. Aalto University, Helsinki, Finland, 2014 - [j4]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): 854-869 (2014) - [c7]Junlong Xiang, Magnus Westerlund, Dusan Sovilj, Göran Pulkkis:
Using extreme learning machine for intrusion detection in a big data environment. AISec@CCS 2014: 73-82 - 2013
- [c6]Dusan Sovilj, Amaury Lendasse, Olli Simula:
Extending Extreme Learning Machine with Combination Layer. IWANN (1) 2013: 417-426 - 2012
- [c5]Andrej Gisbrecht, Dusan Sovilj, Barbara Hammer, Amaury Lendasse:
Relevance learning for time series inspection. ESANN 2012 - [p1]Alberto Guillén, Dusan Sovilj, Mark van Heeswijk, Luis Javier Herrera, Amaury Lendasse, Héctor Pomares, Ignacio Rojas:
Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator. Parallel Architectures and Bioinspired Algorithms 2012: 243-266 - 2011
- [c4]Dusan Sovilj:
Multistart Strategy Using Delta Test for Variable Selection. ICANN (2) 2011: 413-420 - [c3]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: 393-400 - 2010
- [j3]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): 1976-1986 (2010) - [j2]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): 2017-2029 (2010) - [c2]Dusan Sovilj, Tapani Raiko, Erkki Oja:
Extending Self-Organizing Maps with uncertainty information of probabilistic PCA. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [c1]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: 359-366 - 2008
- [j1]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): 269-281 (2008)
Coauthor Index
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