Pavol Mulinka
Cited by
Cited by
Stream-based machine learning for network security and anomaly detection
P Mulinka, P Casas
Proceedings of the 2018 workshop on big data analytics and machine learning …, 2018
Multidimensional cloud latency monitoring and evaluation
O Tomanek, P Mulinka, L Kencl
Computer Networks 107, 104-120, 2016
Speaker identification by K-nearest neighbors: Application of PCA and LDA prior to KNN
J Kacur, R Vargic, P Mulinka
2011 18th International Conference on Systems, Signals and Image Processing, 1-4, 2011
Should I (re) Learn or Should I Go (on)? Stream machine learning for adaptive defense against network attacks
P Casas, P Mulinka, J Vanerio
Proceedings of the 6th ACM Workshop on Moving Target Defense, 79-88, 2019
Adaptive and reinforcement learning approaches for online network monitoring and analysis
S Wassermann, T Cuvelier, P Mulinka, P Casas
IEEE Transactions on Network and Service Management 18 (2), 1832-1849, 2020
Learning from Cloud latency measurements
P Mulinka, L Kencl
2015 IEEE International Conference on Communication Workshop (ICCW), 1895-1901, 2015
Hi-Clust: Unsupervised analysis of cloud latency measurements through hierarchical clustering
P Mulinka, P Casas, L Kencl
2018 IEEE 7th International Conference on Cloud Networking (CloudNet), 1-7, 2018
ADAM & RAL: Adaptive memory learning and reinforcement active learning for network monitoring
S Wassermann, T Cuvelier, P Mulinka, P Casas
2019 15th International Conference on Network and Service Management (CNSM), 1-9, 2019
Remember the good, forget the bad, do it fast-continuous learning over streaming data
P Mulinka, S Wassermann, G Marín, P Casas
Continual Learning Workshop at NeurIPS 2018, 2018
Continuous and adaptive learning over big streaming data for network security
P Mulinka, P Casas, J Vanerio
2019 IEEE 8th International Conference on Cloud Networking (CloudNet), 1-4, 2019
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics
A Beattie, P Mulink, S Sahoo, IT Christou, C Kalalas, D Gutierrez-Rojas, ...
2022 IEEE International Conference on Communications, Control, and Computing …, 2022
Adaptive network security through stream machine learning
P Mulinka, P Casas
Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos, 4-5, 2018
Information processing and data visualization in networked industrial systems
P Mulinka, C Kalalas, M Dzaferagic, I Macaluso, DG Rojas, PJ Nardelli, ...
2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile …, 2021
HUMAN-Hierarchical Clustering for Unsupervised Anomaly Detection & Interpretation
P Mulinka, P Casas, K Fukuda, L Kencl
2020 11th International Conference on Network of the Future (NoF), 132-140, 2020
Whatsthat? on the usage of hierarchical clustering for unsupervised detection & interpretation of network attacks
P Mulinka, K Fukuda, P Casas, L Kencl
2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2020
pytorch-widedeep: A flexible package for multimodal deep learning
JR Zaurin, P Mulinka
Journal of Open Source Software 8 (86), 5027, 2023
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters-A Bayesian Approach
P Mulinka, S Sahoo, C Kalalas, PHJ Nardelli
2022 IEEE Energy Conversion Congress and Exposition (ECCE), 1-6, 2022
A Large-scale Examination of” Socioeconomic” Fairness in Mobile Networks
S Park, P Mulinka, D Perino
Proceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and …, 2022
Hierarchické hustotné shlukování a interpretace síťových měření
M Pavol
České vysoké učení technické v Praze. Vypočetní a informační centrum., 2021
Hierarchické Hustotné Shlukování a Interpretace Síťových Měření
P Mulinka
PQDT-Global, 2021
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