Pavol Mulinka

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 18

Top Topics

Power Electronics

Network Security

Anomaly Detection

Top Venues

SIGCOMM Posters and Demos

IEEE Trans. Netw. Serv. Manag.

Publications

Javier Rodriguez Zaurin, Pavol Mulinka
pytorch-widedeep: A flexible package for multimodal deep learning. J. Open Source Softw. 8 (86) (2023)
Souneil Park, Pavol Mulinka, Diego Perino
A Large-scale Examination of "Socioeconomic" Fairness in Mobile Networks. CoRR (2023)
Alexander Beattie, Pavol Mulinka, Subham Sahoo, Ioannis T. Christou, Charalampos Kalalas, Daniel Gutierrez-Rojas, Pedro H. J. Nardelli
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics. CoRR (2022)
Souneil Park, Pavol Mulinka, Diego Perino
A Large-scale Examination of "Socioeconomic" Fairness in Mobile Networks. COMPASS (2022)
Pavol Mulinka, Subham Sahoo, Charalampos Kalalas, Pedro H. J. Nardelli
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters - A Bayesian Approach. CoRR (2022)
Alexander Beattie, Pavol Mulinka, Subham Sahoo, Ioannis T. Christou, Charalampos Kalalas, Daniel Gutierrez-Rojas, Pedro H. J. Nardelli
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics. SmartGridComm (2022)
Pavol Mulinka, Charalampos Kalalas, Merim Dzaferagic, Irene Macaluso, Daniel Gutierrez-Rojas, Pedro Henrique Juliano Nardelli, Nicola Marchetti
Information Processing and Data Visualization in Networked Industrial Systems. PIMRC (2021)
Sarah Wassermann, Thibaut Cuvelier, Pavol Mulinka, Pedro Casas
Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis. IEEE Trans. Netw. Serv. Manag. 18 (2) (2021)
Pavol Mulinka, Pedro Casas, Kensuke Fukuda, Lukas Kencl
HUMAN - Hierarchical Clustering for Unsupervised Anomaly Detection & Interpretation. NOF (2020)
Pavol Mulinka, Kensuke Fukuda, Pedro Casas, Lukas Kencl
WhatsThat? On the Usage of Hierarchical Clustering for Unsupervised Detection & Interpretation of Network Attacks. EuroS&P Workshops (2020)
Sarah Wassermann, Thibaut Cuvelier, Pavol Mulinka, Pedro Casas
ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring. CNSM (2019)
Pavol Mulinka, Pedro Casas, Juan Martin Vanerio
Continuous and Adaptive Learning over Big Streaming Data for Network Security. CloudNet (2019)
Pedro Casas, Pavol Mulinka, Juan Martin Vanerio
Should I (re)Learn or Should I Go(on)?: Stream Machine Learning for Adaptive Defense against Network Attacks. MTD@CCS (2019)
Pavol Mulinka, Pedro Casas
Adaptive Network Security through Stream Machine Learning. SIGCOMM Posters and Demos (2018)
Pavol Mulinka, Pedro Casas
Stream-based Machine Learning for Network Security and Anomaly Detection. Big-DAMA@SIGCOMM (2018)
Pavol Mulinka, Pedro Casas, Lukas Kencl
Hi-Clust: Unsupervised Analysis of Cloud Latency Measurements Through Hierarchical Clustering. CloudNet (2018)
Ondrej Tomanek, Pavol Mulinka, Lukas Kencl
Multidimensional cloud latency monitoring and evaluation. Comput. Networks 107 (2016)
Pavol Mulinka, Lukas Kencl
Learning from Cloud latency measurements. ICC Workshops (2015)