Pavol Mulinka
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2

A Large-scale Examination of "Socioeconomic" Fairness in Mo..:

, In: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS),
Park, Souneil ; Mulinka, Pavol ; Perino, Diego - p. 248-256 , 2022
 
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3

Optimizing a Digital Twin for Fault Diagnosis in Grid Conne..:

, In: 2022 IEEE Energy Conversion Congress and Exposition (ECCE),
 
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4

NetSEC at High-Speed: Distributed Stream Learning for Secur..:

, In: Data Science – Analytics and Applications,
Casas, Pedro ; Mulinka, Pavol ; Vanerio, Juan - p. 97-104 , 2021
 
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5

HUMAN - Hierarchical Clustering for Unsupervised Anomaly De..:

, In: 2020 11th International Conference on Network of the Future (NoF),
Mulinka, Pavol ; Casas, Pedro ; Fukuda, Kensuke. - p. 132-140 , 2020
 
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6

WhatsThat? On the Usage of Hierarchical Clustering for Unsu..:

, In: 2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW),
Mulinka, Pavol ; Fukuda, Kensuke ; Casas, Pedro. - p. 574-583 , 2020
 
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7

Continuous and Adaptive Learning over Big Streaming Data fo..:

, In: 2019 IEEE 8th International Conference on Cloud Networking (CloudNet),
 
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8

ADAM & RAL: Adaptive Memory Learning and Reinforcement Acti..:

, In: 2019 15th International Conference on Network and Service Management (CNSM),
 
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9

Should I (re)Learn or Should I Go(on)? : Stream Machine ..:

, In: Proceedings of the 6th ACM Workshop on Moving Target Defense,
Casas, Pedro ; Mulinka, Pavol ; Vanerio, Juan - p. 79-88 , 2019
 
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10

Adaptive Network Security through Stream Machine Learning:

, In: Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos,
Mulinka, Pavol ; Casas, Pedro - p. 4-5 , 2018
 
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11

Stream-based Machine Learning for Network Security and Anom..:

, In: Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks,
Mulinka, Pavol ; Casas, Pedro - p. 1-7 , 2018
 
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13

jrzaurin/pytorch-widedeep: Feature Importance via attention..:

Javier ; Pavol Mulinka ; Krishan Davda...
https://github.com/jrzaurin/pytorch-widedeep/tree/v1.3.0.  , 2023
 
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14

pytorch-widedeep: A flexible package for multimodal-deep-le..:

Javier Rodriguez Zaurin ; Pavol Mulinka
https://github.com/jrzaurin/pytorch-widedeep/tree/joss_paper_finalised.  , 2023
 
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