Pere Barlet-Ros
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
41
Venues
19
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
41 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | NetSoft | AutoGraphAD: Unsupervised Network Anomaly Detection Using Variational Graph Autoencoders. | Georgios Anyfantis, Pere Barlet-Ros |
| 2026 | NetSoft | A Comparison of Different GNN Architectures for Network Traffic Classification. | David Carela-Espaol, Ismael Castell-Uroz, Pere Barlet-Ros |
| 2026 | NetSoft | Bridging the Gap between Simulated and Real Network Data Using Transfer Learning. | Carlos Gemes-Palau, Miquel Ferriol-Galms, Jordi Pailliss Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio |
| 2025 | CNSM | TSGFM - Graph Neural Networks for Zero-Shot Time Series Forecasting in Network Monitoring. | Hamid Latif-Martnez, Juan Vanerio, Pedro Casas, Jos Surez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros |
| 2025 | DATA | Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow. | ngela Lpez-Cardona, Guillermo Bernrdez, Pere Barlet-Ros, Albert Cabellos-Aparicio |
| 2024 | ISCAS | Circuit Partitioning for Multi-Core Quantum Architectures with Deep Reinforcement Learning. | Arnau Pastor, Pau Escofet, Sahar Ben Rached, Eduard Alarcn, Pere Barlet-Ros, Sergi Abadal |
| 2024 | WSC | Service Level Prediction in Non-Markovian Nonstationary Queues: A Simulation-Based Deep Learning Approach. | Spyros Garyfallos, Yunan Liu, Pere Barlet-Ros, Albert Cabellos-Aparicio |
| 2023 | INFOCOM | ASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss. | Ismael Castell-Uroz, Kensuke Fukuda, Pere Barlet-Ros |
| 2022 | CNSM | Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. | Krzysztof Rusek, Paul Almasan, Jos Surez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio |
| 2022 | CoNEXT | Unveiling the potential of graph neural networks for BGP anomaly detection. | Hamid Latif, Jordi Paillisse, Jinze Yang, Albert Cabellos-Aparicio, Pere Barlet-Ros |
| 2022 | ICASSP | FlowDT: A Flow-Aware Digital Twin for Computer Networks. | Miquel Ferriol-Galms, Xiangle Cheng, Xiang Shi, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio |
| 2022 | INFOCOM | RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. | Miquel Ferriol-Galms, Krzysztof Rusek, Jos Surez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, Albert Cabellos-Aparicio |
| 2022 | NOMS | Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. | Carlos Gemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio |
| 2021 | HPSR | Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. | Paul Almasan, Jos Surez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio |
| 2021 | ICNP | Is Machine Learning Ready for Traffic Engineering Optimization? | Guillermo Bernrdez, Jos Surez-Varela, Albert Lpez, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio |
| 2021 | INFOCOM | TrackSign: Guided Web Tracking Discovery. | Ismael Castell-Uroz, Josep Sol-Pareta, Pere Barlet-Ros |
| 2021 | INFOCOM | Jellyfish: Locality-Sensitive Subflow Sketching. | Yongquan Fu, Lun An, Siqi Shen, Kai Chen, Pere Barlet-Ros |
| 2021 | SIGCOMM | IGNNITION: fast prototyping of graph neural networks for communication networks. | David Pujol-Perich, Jos Surez-Varela, Miquel Ferriol-Galms, Bo Wu, Shihan Xiao, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros |
| 2020 | CNSM | URL-based Web Tracking Detection Using Deep Learning. | Ismael Castell-Uroz, Tho Poissonnier, Pierre Manneback, Pere Barlet-Ros |
| 2020 | CNSM | Demystifying Content-blockers: A Large-scale Study of Actual Performance Gains. | Ismael Castell-Uroz, Josep Sol-Pareta, Pere Barlet-Ros |
| 2019 | CoNEXT | Towards more realistic network models based on Graph Neural Networks. | Arnau Badia-Sampera, Jos Surez-Varela, Paul Almasan, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio |
| 2019 | CoNEXT | A first look into Alexa's interaction security. | Ismael Castell-Uroz, Xavier Marrugat-Plaza, Josep Sol-Pareta, Pere Barlet-Ros |
| 2019 | SIGCOMM | Challenging the generalization capabilities of Graph Neural Networks for network modeling. | Jos Surez-Varela, Sergi Carol-Bosch, Krzysztof Rusek, Paul Almasan, Marta Arias, Pere Barlet-Ros, Albert Cabellos-Aparicio |
| 2016 | IMC | Measuring Video QoE from Encrypted Traffic. | Giorgos Dimopoulos, Ilias Leontiadis, Pere Barlet-Ros, Konstantina Papagiannaki |
| 2015 | CoNEXT | Identifying the root cause of video streaming issues on mobile devices. | Giorgos Dimopoulos, Ilias Leontiadis, Pere Barlet-Ros, Konstantina Papagiannaki, Peter Steenkiste |
| 2014 | PAM | Is Our Ground-Truth for Traffic Classification Reliable? | Valentn Carela-Espaol, Tomasz Bujlow, Pere Barlet-Ros |
| 2013 | CNSM | Analysis of YouTube user experience from passive measurements. | Giorgos Dimopoulos, Pere Barlet-Ros, Josep Sanjus-Cuxart |
| 2013 | IWCMC | Empirical analysis of traffic to establish a profiled flow termination timeout. | Juan Molina Rodriguez, Valentn Carela-Espaol, Pere Barlet-Ros, Ralf Hoffmann, Klaus Degner |
| 2013 | SIGMETRICS | FaRNet: fast recognition of high multi-dimensional network traffic patterns. | Ignasi Paredes-Oliva, Pere Barlet-Ros, Xenofontas A. Dimitropoulos |
| 2012 | INFOCOM | Practical anomaly detection based on classifying frequent traffic patterns. | Ignasi Paredes-Oliva, Ismael Castell-Uroz, Pere Barlet-Ros, Xenofontas A. Dimitropoulos, Josep Sol-Pareta |
| 2012 | INFOCOM | Cuckoo sampling: Robust collection of flow aggregates under a fixed memory budget. | Josep Sanjus-Cuxart, Pere Barlet-Ros, Nick G. Duffield, Ramana Rao Kompella |
| 2012 | Networking | Towards a Statistical Characterization of the Interdomain Traffic Matrix. | Jakub Mikians, Amogh Dhamdhere, Constantine Dovrolis, Pere Barlet-Ros, Josep Sol-Pareta |
| 2011 | IMC | Sketching the delay: tracking temporally uncorrelated flow-level latencies. | Josep Sanjus-Cuxart, Pere Barlet-Ros, Nick G. Duffield, Ramana Rao Kompella |
| 2011 | PAM | A Practical Approach to Portscan Detection in Very High-Speed Links. | Jakub Mikians, Pere Barlet-Ros, Josep Sanjus-Cuxart, Josep Sol-Pareta |
| 2010 | SIGCOMM | Automating root-cause analysis of network anomalies using frequent itemset mining. | Ignasi Paredes-Oliva, Xenofontas A. Dimitropoulos, Maurizio Molina, Pere Barlet-Ros, Daniela Brauckhoff |
| 2009 | Networking | Portscan Detection with Sampled NetFlow. | Ignasi Paredes-Oliva, Pere Barlet-Ros, Josep Sol-Pareta |
| 2009 | Networking | Counting Flows over Sliding Windows in High Speed Networks. | Josep Sanjus-Cuxart, Pere Barlet-Ros, Josep Sol-Pareta |
| 2008 | CoNEXT | Distributed scheduling in large scale monitoring infrastructures. | Josep Sanjus-Cuxart, Pere Barlet-Ros, Gianluca Iannaccone, Josep Sol-Pareta |
| 2008 | LANMAN | Distributed sampling for on-line SLA assessment. | Ren Serral-Graci, Pere Barlet-Ros, Jordi Domingo-Pascual |
| 2007 | Networking | On-Line Predictive Load Shedding for Network Monitoring. | Pere Barlet-Ros, Diego Amores-Lpez, Gianluca Iannaccone, Josep Sanjus-Cuxart, Josep Sol-Pareta |
| 2007 | USENIX | Load Shedding in Network Monitoring Applications. | Pere Barlet-Ros, Gianluca Iannaccone, Josep Sanjus-Cuxart, Diego Amores-Lpez, Josep Sol-Pareta |