Pere Barlet-Ros

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 98

Top Venues

CoRR

Comput. Networks

IEEE/ACM Trans. Netw.

INFOCOM

Publications

Arnau Pastor, Pau Escofet, Sahar Ben Rached, Eduard Alarcón, Pere Barlet-Ros, Sergi Abadal
Circuit Partitioning for Multi-Core Quantum Architectures with Deep Reinforcement Learning. CoRR (2024)
Carlos Güemes-Palau, Miquel Ferriol Galmés, Albert Cabellos-Aparicio, Pere Barlet-Ros
Building a Graph-based Deep Learning network model from captured traffic traces. CoRR (2023)
Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò
Topological Network Traffic Compression. GNNet@CoNEXT (2023)
Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò
Topological Graph Signal Compression. CoRR (2023)
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. GNNet@CoNEXT (2023)
Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros
Enhancing 5G Radio Planning with Graph Representations and Deep Learning. 5G-MeMZ@SIGCOMM (2023)
Hamid Latif-Martínez, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
Detecting Contextual Network Anomalies with Graph Neural Networks. CoRR (2023)
Yongquan Fu, Lun An, Siqi Shen, Kai Chen, Pere Barlet-Ros
A One-Pass Clustering Based Sketch Method for Network Monitoring. IEEE/ACM Trans. Netw. 31 (6) (2023)
José Suárez-Varela, Paul Almasan, Miquel Ferriol Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. IEEE Netw. 37 (3) (2023)
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. CoRR (2023)
Ismael Castell-Uroz, Ismael Douha-Prieto, Meritxell Basart-Dotras, Pol Mesegué-Molina, Pere Barlet-Ros
ePrivo.eu: An Online Service for Automatic Web Tracking Discovery. IEEE Access 11 (2023)
Marcel Urpí-Bricollé, Ismael Castell-Uroz, Pere Barlet-Ros
Detecting and Analyzing Mouse Tracking in the Wild. EuroS&P Workshops (2023)
Ismael Castell-Uroz, Kensuke Fukuda, Pere Barlet-Ros
ASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss. INFOCOM (2023)
Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros
Enhancing 5G Radio Planning with Graph Representations and Deep Learning. CoRR (2023)
Ismael Castell-Uroz, Óscar Sánchez-de-Mingo, Pere Barlet-Ros
Early detection of new web tracking methods across 1.5 million sites. Comput. Commun. 210 (2023)
Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Fermi: Network Modeling With Graph Neural Networks. IEEE/ACM Trans. Netw. 31 (6) (2023)
Guillermo Bernárdez, José Suárez-Varela, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters. CoRR (2023)
Ismael Castell-Uroz, Kensuke Fukuda, Pere Barlet-Ros
ASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss. CoRR (2023)
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Leveraging Spatial and Temporal Correlations for Network Traffic Compression. CoRR (2023)
Hamid Latif, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
Detecting Contextual Network Anomalies with Graph Neural Networks. GNNet@CoNEXT (2023)
Ismael Castell-Uroz, Pere Barlet-Ros
TrackSign-labeled web tracking dataset. Comput. Networks 226 (2023)
Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering. CoRR (2023)
Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering. IEEE Trans. Cogn. Commun. Netw. 9 (2) (2023)
Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. CoRR (2022)
Miquel Ferriol Galmés, José Suárez-Varela, Jordi Paillisse, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Building a Digital Twin for network optimization using Graph Neural Networks. Comput. Networks 217 (2022)
Paul Almasan, Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Network Digital Twin: Context, Enabling Technologies, and Opportunities. IEEE Commun. Mag. 60 (11) (2022)
Miquel Ferriol Galmés, Xiangle Cheng, Xiang Shi, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
FlowDT: A Flow-Aware Digital Twin for Computer Networks. ICASSP (2022)
Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Fermi: Network Modeling with Graph Neural Networks. CoRR (2022)
Hamid Latif, Jordi Paillisse, Jinze Yang, Albert Cabellos-Aparicio, Pere Barlet-Ros
Unveiling the potential of graph neural networks for BGP anomaly detection. GNNet@CoNEXT (2022)
Paul Almasan, Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Network Digital Twin: Context, Enabling Technologies and Opportunities. CoRR (2022)
Ángela López-Cardona, Guillermo Bernárdez, Pere Barlet-Ros, Albert Cabellos-Aparicio
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow. CoRR (2022)
David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. SIGMETRICS Perform. Evaluation Rev. 49 (4) (2022)
Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. CoRR (2022)
Paul Almasan, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case. Comput. Commun. 196 (2022)
Rubén Barceló-Armada, Ismael Castell-Uroz, Pere Barlet-Ros
Amazon Alexa traffic traces. Comput. Networks 205 (2022)
Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning. Comput. Networks 214 (2022)
Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. CoRR (2022)
Domenico Capriglione, Pere Barlet-Ros, António Espírito-Santo
Guest Editorial: Special Issue on Measurements, Sensors and Standards in Modern Communication Networks. IEEE Instrum. Meas. Mag. 25 (6) (2022)
Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. NOMS (2022)
Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. INFOCOM (2022)
Ismael Castell-Uroz, Rubén Sanz-García, Josep Solé-Pareta, Pere Barlet-Ros
Demystifying Content-Blockers: Measuring Their Impact on Performance and Quality of Experience. IEEE Trans. Netw. Serv. Manag. 19 (3) (2022)
Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. CNSM (2022)
Paul Almasan, Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Digital Twin Network: Opportunities and Challenges. CoRR (2022)
Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
ENERO: Efficient Real-Time Routing Optimization. CoRR (2021)
José Suárez-Varela, Miquel Ferriol Galmés, Albert Lopez, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks. CoRR (2021)
Miquel Ferriol Galmés, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Scaling Graph-based Deep Learning models to larger networks. CoRR (2021)
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros
IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems. IEEE Netw. 35 (6) (2021)
Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. HPSR (2021)
David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. CoRR (2021)
Guillermo Bernárdez, José Suárez-Varela, Albert Lopez, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Is Machine Learning Ready for Traffic Engineering Optimization? CoRR (2021)
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros
IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems. CoRR (2021)
José Suárez-Varela, Paul Almasan, Miquel Ferriol Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. CoRR (2021)
Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. CoRR (2021)
Yongquan Fu, Lun An, Siqi Shen, Kai Chen, Pere Barlet-Ros
Jellyfish: Locality-Sensitive Subflow Sketching. INFOCOM (2021)
Ismael Castell-Uroz, Josep Solé-Pareta, Pere Barlet-Ros
TrackSign: Guided Web Tracking Discovery. INFOCOM (2021)
José Suárez-Varela, Miquel Ferriol Galmés, Albert Lopez, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. Comput. Commun. Rev. 51 (3) (2021)
Guillermo Bernárdez, José Suárez-Varela, Albert Lopez, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Is Machine Learning Ready for Traffic Engineering Optimization? ICNP (2021)
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol Galmés, Bo Wu, Shihan Xiao, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
IGNNITION: fast prototyping of graph neural networks for communication networks. SIGCOMM Posters and Demos (2021)
Miquel Ferriol Galmés, José Suárez-Varela, Pere Barlet-Ros, Albert Cabellos-Aparicio
Applying Graph-based Deep Learning To Realistic Network Scenarios. CoRR (2020)
Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN. IEEE J. Sel. Areas Commun. 38 (10) (2020)
Ismael Castell-Uroz, Josep Solé-Pareta, Pere Barlet-Ros
Demystifying Content-blockers: A Large-scale Study of Actual Performance Gains. CNSM (2020)
Ismael Castell-Uroz, Josep Solé-Pareta, Pere Barlet-Ros
Demystifying content-blockers: A large scale study of actual performance gains. CoRR (2020)
Ismael Castell-Uroz, Théo Poissonnier, Pierre Manneback, Pere Barlet-Ros
URL-based Web Tracking Detection Using Deep Learning. CNSM (2020)
Ismael Castell-Uroz, Josep Solé-Pareta, Pere Barlet-Ros
Network Measurements for Web Tracking Analysis and Detection: A Tutorial. IEEE Instrum. Meas. Mag. 23 (9) (2020)
Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. CoRR (2019)
José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Feature Engineering for Deep Reinforcement Learning Based Routing. ICC (2019)
Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. SOSR (2019)
Paul Almasan, José Suárez-Varela, Arnau Badia-Sampera, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case. CoRR (2019)
Yongquan Fu, Dongsheng Li, Pere Barlet-Ros, Chun Huang, Zhen Huang, Siqi Shen, Huayou Su
A Skewness-Aware Matrix Factorization Approach for Mesh-Structured Cloud Services. IEEE/ACM Trans. Netw. 27 (4) (2019)
José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Routing Based on Deep Reinforcement Learning in Optical Transport Networks. OFC (2019)
Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN. CoRR (2019)
Arnau Badia-Sampera, José Suárez-Varela, Paul Almasan, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Towards more realistic network models based on Graph Neural Networks. CoNEXT Companion (2019)
José Suárez-Varela, Sergi Carol-Bosch, Krzysztof Rusek, Paul Almasan, Marta Arias, Pere Barlet-Ros, Albert Cabellos-Aparicio
Challenging the generalization capabilities of Graph Neural Networks for network modeling. SIGCOMM Posters and Demos (2019)
Jordi Zayuelas i Muñoz, José Suárez-Varela, Pere Barlet-Ros
Detecting cryptocurrency miners with NetFlow/IPFIX network measurements. M&N (2019)
Ismael Castell-Uroz, Xavier Marrugat-Plaza, Josep Solé-Pareta, Pere Barlet-Ros
A first look into Alexa's interaction security. CoNEXT Companion (2019)
José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Routing in optical transport networks with deep reinforcement learning. JOCN 11 (11) (2019)
Yongquan Fu, Pere Barlet-Ros, Dongsheng Li
Every Timestamp Counts: Accurate Tracking of Network Latencies Using Reconcilable Difference Aggregator. IEEE/ACM Trans. Netw. 26 (1) (2018)
José Suárez-Varela, Pere Barlet-Ros
SBAR: SDN flow-Based monitoring and Application Recognition. SOSR (2018)
José Suárez-Varela, Pere Barlet-Ros
Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs. Comput. Networks 135 (2018)
José Suárez-Varela, Pere Barlet-Ros
Towards accurate classification of HTTPS traffic in Software-Defined Networks. I2MTC (2018)
Paul Almasan, Jordi Paillisse, Alberto Rodríguez-Natal, Pere Barlet-Ros, Florin Coras, Vina Ermagan, Fabio Maino, Albert Cabellos-Aparicio
Securing the Control-plane Channel and Cache of Pull-based ID/LOC Protocols. CoRR (2018)
Giorgos Dimopoulos, Pere Barlet-Ros, Constantine Dovrolis, Ilias Leontiadis
Detecting network performance anomalies with contextual anomaly detection. M&N (2017)
Tomasz Bujlow, Valentín Carela-Español, Beom-Ryeol Lee, Pere Barlet-Ros
A Survey on Web Tracking: Mechanisms, Implications, and Defenses. Proc. IEEE 105 (8) (2017)
Albert Mestres, Alberto Rodríguez-Natal, Josep Carner, Pere Barlet-Ros, Eduard Alarcón, Marc Solé, Victor Muntés-Mulero, David Meyer, Sharon Barkai, Mike J. Hibbett, Giovani Estrada, Khaldun Maruf, Florin Coras, Vina Ermagan, Hugo Latapie, Chris Cassar, John Evans, Fabio Maino, Jean C. Walrand, Albert Cabellos
Knowledge-Defined Networking. Comput. Commun. Rev. 47 (3) (2017)
José Suárez-Varela, Pere Barlet-Ros
Reinventing NetFlow for OpenFlow Software-Defined Networks. CoRR (2017)
Nguyen Xuan Quyen, Pere Barlet-Ros
Performance of Direct-Oversampling Correlator-Type Receivers in Chaos-Based DS-CDMA Systems Over Frequency Non-selective Fading Channels. Wirel. Pers. Commun. 95 (4) (2017)
José Suárez-Varela, Pere Barlet-Ros
Towards a NetFlow Implementation for OpenFlow Software-Defined Networks. ITC (2017)
Hoan Le, Federico Fallace, Pere Barlet-Ros
Towards accurate detection of obfuscated web tracking. M&N (2017)
José A. Lázaro, Salvatore Spadaro, Jordi Perelló, Joan M. Gené, Jose A. Altabas, Albert Pagès, Davide Careglio, Pere Barlet-Ros, Albert Cabellos, Josep Solé-Pareta
SUNSET: Sustainable network infrastructure enabling the future Digital Society. ICTON (2016)
Albert Mestres, Alberto Rodríguez-Natal, Josep Carner, Pere Barlet-Ros, Eduard Alarcón, Marc Solé, Victor Muntés, David Meyer, Sharon Barkai, Mike J. Hibbett, Giovani Estrada, Khaldun Maruf, Florin Coras, Vina Ermagan, Hugo Latapie, Chris Cassar, John Evans, Fabio Maino, Jean C. Walrand, Albert Cabellos
Knowledge-Defined Networking. CoRR (2016)
Valentín Carela-Español, Pere Barlet-Ros, Albert Bifet, Kensuke Fukuda
A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic. Telecommun. Syst. 63 (2) (2016)
Pere Barlet-Ros, Moritz Steiner
Special section on selected papers from TMA 2015. Comput. Commun. 94 (2016)
Giorgos Dimopoulos, Ilias Leontiadis, Pere Barlet-Ros, Konstantina Papagiannaki
Measuring Video QoE from Encrypted Traffic. Internet Measurement Conference (2016)
Alessandro D'Alconzo, Pere Barlet-Ros, Kensuke Fukuda, David R. Choffnes
Machine learning, data mining and Big Data frameworks for network monitoring and troubleshooting. Comput. Networks 107 (2016)
Valentín Carela-Español, Pere Barlet-Ros, Oriol Mula-Valls, Josep Solé-Pareta
An Autonomic Traffic Classification System for Network Operation and Management. J. Netw. Syst. Manag. 23 (3) (2015)
Tomasz Bujlow, Valentín Carela-Español, Josep Solé-Pareta, Pere Barlet-Ros
Web Tracking: Mechanisms, Implications, and Defenses. CoRR (2015)
Tomasz Bujlow, Valentín Carela-Español, Pere Barlet-Ros
Independent comparison of popular DPI tools for traffic classification. Comput. Networks 76 (2015)
Giorgos Dimopoulos, Ilias Leontiadis, Pere Barlet-Ros, Konstantina Papagiannaki, Peter Steenkiste
Identifying the root cause of video streaming issues on mobile devices. CoNEXT (2015)
Valentín Carela-Español, Tomasz Bujlow, Pere Barlet-Ros
Is Our Ground-Truth for Traffic Classification Reliable? PAM (2014)
Jakub Mikians, Nikolaos Laoutaris, Amogh Dhamdhere, Pere Barlet-Ros
ITMgen - A first-principles approach to generating synthetic interdomain traffic matrices. ICC (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pere Barlet-Ros