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Pere Barlet-Ros
Pere Barlet-Ros
Verified email at ac.upc.edu - Homepage
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Cited by
Year
Knowledge-defined networking
A Mestres, A Rodriguez-Natal, J Carner, P Barlet-Ros, E Alarcón, M Solé, ...
ACM SIGCOMM Computer Communication Review 47 (3), 2-10, 2017
4472017
RouteNet: Leveraging graph neural networks for network modeling and optimization in SDN
K Rusek, J Suárez-Varela, P Almasan, P Barlet-Ros, A Cabellos-Aparicio
IEEE Journal on Selected Areas in Communications 38 (10), 2260-2270, 2020
2322020
Independent comparison of popular DPI tools for traffic classification
T Bujlow, V Carela-Español, P Barlet-Ros
Computer Networks 76, 75-89, 2015
2272015
Measuring video QoE from encrypted traffic
G Dimopoulos, I Leontiadis, P Barlet-Ros, K Papagiannaki
Proceedings of the 2016 Internet Measurement Conference, 513-526, 2016
2002016
Unveiling the potential of graph neural networks for network modeling and optimization in SDN
K Rusek, J Suárez-Varela, A Mestres, P Barlet-Ros, A Cabellos-Aparicio
Proceedings of the 2019 ACM Symposium on SDN Research, 140-151, 2019
1752019
A survey on web tracking: Mechanisms, implications, and defenses
T Bujlow, V Carela-Español, J Sole-Pareta, P Barlet-Ros
Proceedings of the IEEE 105 (8), 1476-1510, 2017
1742017
Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case
P Almasan, J Suárez-Varela, K Rusek, P Barlet-Ros, A Cabellos-Aparicio
Computer Communications 196, 184-194, 2022
1532022
Analysis of the impact of sampling on NetFlow traffic classification
V Carela-Español, P Barlet-Ros, A Cabellos-Aparicio, J Solé-Pareta
Computer Networks 55 (5), 1083-1099, 2011
1432011
Is our ground-truth for traffic classification reliable?
V Carela-Español, T Bujlow, P Barlet-Ros
International Conference on Passive and Active Network Measurement, 98-108, 2014
722014
Practical anomaly detection based on classifying frequent traffic patterns
I Paredes-Oliva, I Castell-Uroz, P Barlet-Ros, X Dimitropoulos, ...
2012 Proceedings IEEE INFOCOM Workshops, 49-54, 2012
592012
Routing in optical transport networks with deep reinforcement learning
J Suárez-Varela, A Mestres, J Yu, L Kuang, H Feng, A Cabellos-Aparicio, ...
Journal of Optical Communications and Networking 11 (11), 547-558, 2019
542019
Load shedding in network monitoring applications
P Barlet-Ros, G Iannaccone, J Sanjuàs-Cuxart, D Amores-López, ...
USENIX Annual Technical Conference 16, 2007
542007
Identifying the root cause of video streaming issues on mobile devices
G Dimopoulos, I Leontiadis, P Barlet-Ros, K Papagiannaki, P Steenkiste
Proceedings of the 11th ACM Conference on Emerging Networking Experiments …, 2015
492015
Digital twin network: Opportunities and challenges
P Almasan, M Ferriol-Galmés, J Paillisse, J Suárez-Varela, D Perino, ...
arXiv preprint arXiv:2201.01144, 2022
482022
Network digital twin: Context, enabling technologies, and opportunities
P Almasan, M Ferriol-Galmés, J Paillisse, J Suárez-Varela, D Perino, ...
IEEE Communications Magazine 60 (11), 22-27, 2022
472022
Feature engineering for deep reinforcement learning based routing
J Suárez-Varela, A Mestres, J Yu, L Kuang, H Feng, P Barlet-Ros, ...
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019
472019
Web tracking: Mechanisms, implications, and defenses
T Bujlow, V Carela-Español, J Solé-Pareta, P Barlet-Ros
arXiv preprint arXiv:1507.07872, 2015
462015
Graph neural networks for communication networks: Context, use cases and opportunities
J Suárez-Varela, P Almasan, M Ferriol-Galmés, K Rusek, F Geyer, ...
IEEE network, 2022
402022
Comparison of deep packet inspection (dpi) tools for traffic classification
T Bujlow, V Carela-Español, P Barlet-Ros
Universitat Politècnica de Catalunya, 2013
402013
Unveiling the potential of graph neural networks for robust intrusion detection
D Pujol-Perich, J Suárez-Varela, A Cabellos-Aparicio, P Barlet-Ros
ACM SIGMETRICS Performance Evaluation Review 49 (4), 111-117, 2022
392022
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