Dusan Sovilj - RankMe

25 papers A 1B 3Journal 12Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Advancing Malicious Website Identification: A Machine Learning Approach Using Granular Feature Analysis. CoRR Kinh Tran, Dusan Sovilj
2024	J	`jnl`	RANK: AI-Assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks. IEEE Trans. Dependable Secur. Comput. Hazem M. Soliman, Dusan Sovilj, Geoff Salmon, Mohan Rao, Niranjan Mayya
2021	J	`jnl`	RANK: AI-assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks. CoRR Hazem M. Soliman, Geoff Salmon, Dusan Sovilj, Mohan Rao
2020	—	`conf`	A Graph Neural Network Approach for Scalable and Dynamic IP Similarity in Enterprise Networks. CloudNet Hazem M. Soliman, Geoff Salmon, Dusan Sovilj, Mohan Rao
2020	J	`jnl`	A Graph Neural Network Approach for Scalable and Dynamic IP Similarity in Enterprise Networks. CoRR Hazem M. Soliman, Geoff Salmon, Dusan Sovilj, Mohan Rao
2020	J	`jnl`	A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams. Expert Syst. Appl. Dusan Sovilj, Paul Budnarain, Scott Sanner, Geoff Salmon, Mohan Rao
2018	A	`conf`	Collaborative Filtering with Behavioral Models. UMAP Dusan Sovilj, Scott Sanner, Harold Soh, Hanze Li
2018	J	`jnl`	Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity. Hum. Factors Sean W. Kortschot, Dusan Sovilj, Greg A. Jamieson, Scott Sanner, Chelsea Carrasco, Harold Soh
2017	B	`conf`	An open source adaptive user interface for network monitoring. SMC Sean W. Kortschot, Dusan Sovilj, Harold Soh, Greg A. Jamieson, Scott Sanner, Chelsea Carrasco, Scott Ralph, Scott Langevin
2016	J	`jnl`	Comparison of combining methods using Extreme Learning Machines under small sample scenario. Neurocomputing Dusan Sovilj, Kaj-Mikael Björk, Amaury Lendasse
2016	J	`jnl`	Extreme learning machine for missing data using multiple imputations. Neurocomputing Dusan Sovilj, Emil Eirola, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Anton Akusok, Amaury Lendasse
2015	—	`conf`	Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models. IWANN (2) Emil Eirola, Andrey Gritsenko, Anton Akusok, Kaj-Mikael Björk, Yoan Miche, Dusan Sovilj, Rui Nian, Bo He, Amaury Lendasse
2014	J	`jnl`	Fast Feature Selection in a GPU Cluster Using the Delta Test. Entropy Alberto Guillén, M. Isabel García Arenas, Mark van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
2014	—	`—`	Learning Methods for Variable Selection and Time Series Prediction. Dusan Sovilj
2014	—	`conf`	Using extreme learning machine for intrusion detection in a big data environment. AISec@CCS Junlong Xiang, Magnus Westerlund, Dusan Sovilj, Göran Pulkkis
2013	—	`conf`	Extending Extreme Learning Machine with Combination Layer. IWANN (1) Dusan Sovilj, Amaury Lendasse, Olli Simula
2012	—	`ch.`	Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator. Parallel Architectures and Bioinspired Algorithms Alberto Guillén, Dusan Sovilj, Mark van Heeswijk, Luis Javier Herrera, Amaury Lendasse, Héctor Pomares, Ignacio Rojas
2012	B	`conf`	Relevance learning for time series inspection. ESANN Andrej Gisbrecht, Dusan Sovilj, Barbara Hammer, Amaury Lendasse
2011	—	`conf`	Multistart Strategy Using Delta Test for Variable Selection. ICANN (2) Dusan Sovilj
2011	—	`conf`	Variable Selection in a GPU Cluster Using Delta Test. IWANN (1) Alberto Guillén, Mark van Heeswijk, Dusan Sovilj, Maribel García Arenas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
2010	J	`jnl`	Approximate k-NN delta test minimization method using genetic algorithms: Application to time series. Neurocomputing Fernando Mateo, Dusan Sovilj, Rafael Gadea Gironés
2010	B	`conf`	Extending Self-Organizing Maps with uncertainty information of probabilistic PCA. IJCNN Dusan Sovilj, Tapani Raiko, Erkki Oja
2010	J	`jnl`	OPELM and OPKNN in long-term prediction of time series using projected input data. Neurocomputing Dusan Sovilj, Antti Sorjamaa, Qi Yu, Yoan Miche, Eric Séverin
2009	—	`conf`	RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks. IWANN (1) Fernando Mateo, Dusan Sovilj, Rafael Gadea Gironés, Amaury Lendasse
2008	J	`jnl`	Minimising the delta test for variable selection in regression problems. Int. J. High Perform. Syst. Archit. Alberto Guillén, Dusan Sovilj, Amaury Lendasse, Fernando Mateo, Ignacio Rojas