Pavol Mulinka - RankMe

22 papers B 2C 1Journal 10Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Toward High-Fidelity and Trustworthy Digital Twins for Fault Diagnosis in Grid Connected Inverters. IEEE Trans. Dependable Secur. Comput. Pavol Mulinka, Ioannis T. Christou, Subham Sahoo, Charalampos Kalalas, Pedro H. J. Nardelli
2025	J	`jnl`	AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration. CoRR Charalampos Kalalas, Pavol Mulinka, Guillermo Candela Belmonte, Miguel Fornell, Michail Dalgitsis, Francisco Paredes Vera, Javier Santaella Sánchez, Carmen Vicente Villares, Roshan Sedar, Eftychia G. Datsika, Angelos Antonopoulos, Antonio Fernández Ojea, Miquel Payaró
2025	J	`jnl`	Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting. IEEE Trans. Sustain. Comput. Nikolaos Pavlidis, Vasileios Perifanis, Selim F. Yilmaz, Francesc Wilhelmi, Marco Miozzo, Pavlos S. Efraimidis, Remous-Aris Koutsiamanis, Pavol Mulinka, Paolo Dini
2024	J	`jnl`	Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting. CoRR Nikolaos Pavlidis, Vasileios Perifanis, Selim F. Yilmaz, Francesc Wilhelmi, Marco Miozzo, Pavlos S. Efraimidis, Remous-Aris Koutsiamanis, Pavol Mulinka, Paolo Dini
2023	J	`jnl`	A Large-scale Examination of "Socioeconomic" Fairness in Mobile Networks. CoRR Souneil Park, Pavol Mulinka, Diego Perino
2023	J	`jnl`	pytorch-widedeep: A flexible package for multimodal deep learning. J. Open Source Softw. Javier Rodriguez Zaurin, Pavol Mulinka
2022	C	`conf`	A Large-scale Examination of "Socioeconomic" Fairness in Mobile Networks. COMPASS Souneil Park, Pavol Mulinka, Diego Perino
2022	—	`conf`	A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics. SmartGridComm Alexander Beattie, Pavol Mulinka, Subham Sahoo, Ioannis T. Christou, Charalampos Kalalas, Daniel Gutierrez-Rojas, Pedro H. J. Nardelli
2022	J	`jnl`	A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics. CoRR Alexander Beattie, Pavol Mulinka, Subham Sahoo, Ioannis T. Christou, Charalampos Kalalas, Daniel Gutierrez-Rojas, Pedro H. J. Nardelli
2022	J	`jnl`	Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters - A Bayesian Approach. CoRR Pavol Mulinka, Subham Sahoo, Charalampos Kalalas, Pedro H. J. Nardelli
2021	J	`jnl`	Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis. IEEE Trans. Netw. Serv. Manag. Sarah Wassermann, Thibaut Cuvelier, Pavol Mulinka, Pedro Casas
2021	B	`conf`	Information Processing and Data Visualization in Networked Industrial Systems. PIMRC Pavol Mulinka, Charalampos Kalalas, Merim Dzaferagic, Irene Macaluso, Daniel Gutierrez-Rojas, Pedro Henrique Juliano Nardelli, Nicola Marchetti
2020	—	`conf`	HUMAN - Hierarchical Clustering for Unsupervised Anomaly Detection & Interpretation. NOF Pavol Mulinka, Pedro Casas, Kensuke Fukuda, Lukas Kencl
2020	—	`conf`	WhatsThat? On the Usage of Hierarchical Clustering for Unsupervised Detection & Interpretation of Network Attacks. EuroS&P Workshops Pavol Mulinka, Kensuke Fukuda, Pedro Casas, Lukas Kencl
2019	B	`conf`	ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring. CNSM Sarah Wassermann, Thibaut Cuvelier, Pavol Mulinka, Pedro Casas
2019	—	`conf`	Continuous and Adaptive Learning over Big Streaming Data for Network Security. CloudNet Pavol Mulinka, Pedro Casas, Juan Martin Vanerio
2019	—	`conf`	Should I (re)Learn or Should I Go(on)?: Stream Machine Learning for Adaptive Defense against Network Attacks. MTD@CCS Pedro Casas, Pavol Mulinka, Juan Martin Vanerio
2018	—	`conf`	Adaptive Network Security through Stream Machine Learning. SIGCOMM Posters and Demos Pavol Mulinka, Pedro Casas
2018	—	`conf`	Hi-Clust: Unsupervised Analysis of Cloud Latency Measurements Through Hierarchical Clustering. CloudNet Pavol Mulinka, Pedro Casas, Lukas Kencl
2018	—	`conf`	Stream-based Machine Learning for Network Security and Anomaly Detection. Big-DAMA@SIGCOMM Pavol Mulinka, Pedro Casas
2016	J	`jnl`	Multidimensional cloud latency monitoring and evaluation. Comput. Networks Ondrej Tomanek, Pavol Mulinka, Lukas Kencl
2015	—	`conf`	Learning from Cloud latency measurements. ICC Workshops Pavol Mulinka, Lukas Kencl