Pere Barlet-Ros

159 papers A* 7A 5B 13C 4Misc 2Journal 88Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Simulation to Deep Learning: Survey on Network Performance Modeling Approaches. CoRR Carlos Güemes-Palau, Miquel Ferriol Galmés, Jordi Paillissé Vilanova, Pere Barlet-Ros, Albert Cabellos-Aparicio
2026	J	`jnl`	From simulation to deep learning: Survey on network performance modeling approaches. Comput. Networks Carlos Güemes-Palau, Miquel Ferriol Galmés, Jordi Paillissé Vilanova, Pere Barlet-Ros, Albert Cabellos-Aparicio
2026	J	`jnl`	RouteNet-Gauss: Hardware-Enhanced Network Modeling With Machine Learning. IEEE Trans. Netw. Carlos Güemes-Palau, Miquel Ferriol-Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio
2025	J	`jnl`	AutoGraphAD: A novel approach using Variational Graph Autoencoders for anomalous network flow detection. CoRR Georgios Anyfantis, Pere Barlet-Ros
2025	J	`jnl`	BGP anomaly detection using the raw internet topology. Comput. Networks Hamid Latif-Martínez, Jordi Paillisse, Pere Barlet-Ros, Albert Cabellos-Aparicio
2025	J	`jnl`	Bridging the Gap Between Simulated and Real Network Data Using Transfer Learning. CoRR Carlos Güemes-Palau, Miquel Ferriol-Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio
2025	J	`jnl`	GAT-AD: Graph Attention Networks for contextual anomaly detection in network monitoring. Comput. Ind. Eng. Hamid Latif-Martínez, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
2025	—	`conf`	Graph Neural Networks for Graph-Level Anomaly Detection in Network Intrusion Detection. TMA Georgios Anyfantis, Ismael Castell-Uroz, Pere Barlet-Ros
2025	J	`jnl`	GraphCC: A practical graph learning-based approach to Congestion Control in datacenters. Comput. Networks Guillermo Bernárdez, José Suárez-Varela, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2025	J	`jnl`	GraphUniverse: Enabling Systematic Evaluation of Inductive Generalization. CoRR Louis Van Langendonck, Guillermo Bernárdez, Nina Miolane, Pere Barlet-Ros
2025	J	`jnl`	NeuraliNQ: a neural network method for the transient performance analysis in non-Markovian Queues. Queueing Syst. Theory Appl. Spyros Garyfallos, Yunan Liu, Pere Barlet-Ros, Albert Cabellos-Aparicio
2025	J	`jnl`	Ordered Topological Deep Learning: a Network Modeling Case Study. CoRR Guillermo Bernárdez, Miquel Ferriol-Galmés, Carlos Güemes-Palau, Mathilde Papillon, Pere Barlet-Ros, Albert Cabellos-Aparicio, Nina Miolane
2025	—	`conf`	PPT-GNN: A Practical Pretrained Spatio-Temporal Graph Neural Network for Network Security. EuroS&P (Workshops) Louis Van Langendonck, Ismael Castell-Uroz, Pere Barlet-Ros
2025	C	`conf`	Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow. DATA Ángela López-Cardona, Guillermo Bernárdez, Pere Barlet-Ros, Albert Cabellos-Aparicio
2025	J	`jnl`	RouteNet-Gauss: Hardware-Enhanced Network Modeling with Machine Learning. CoRR Carlos Güemes-Palau, Miquel Ferriol-Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio
2025	B	`conf`	TSGFM - Graph Neural Networks for Zero-Shot Time Series Forecasting in Network Monitoring. CNSM Hamid Latif-Martínez, Juan Vanerio, Pedro Casas, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
2025	—	`conf`	TSGFM - Towards a Graph Foundation Model for Time Series Analysis in Network Monitoring. TMA Hamid Latif-Martínez, Pedro Casas, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
2024	—	`conf`	A First Look into Utiq: Next-Generation Cookies at the ISP Level. EuroS&P Workshops Ismael Castell-Uroz, Pere Barlet-Ros
2024	J	`jnl`	A first look into Utiq: Next-generation cookies at the ISP level. CoRR Ismael Castell-Uroz, Pere Barlet-Ros
2024	—	`conf`	AST-GNN: A Graph Neural Network for Web Tracking Detection. GNNet@CoNEXT Eloi Campeny-Roig, Ismael Castell-Uroz, Pere Barlet-Ros
2024	C	`conf`	Circuit Partitioning for Multi-Core Quantum Architectures with Deep Reinforcement Learning. ISCAS Arnau Pastor, Pau Escofet, Sahar Ben Rached, Eduard Alarcón, Pere Barlet-Ros, Sergi Abadal
2024	J	`jnl`	Circuit Partitioning for Multi-Core Quantum Architectures with Deep Reinforcement Learning. CoRR Arnau Pastor, Pau Escofet, Sahar Ben Rached, Eduard Alarcón, Pere Barlet-Ros, Sergi Abadal
2024	J	`jnl`	PPT-GNN: A Practical Pre-Trained Spatio-Temporal Graph Neural Network for Network Security. CoRR Louis Van Langendonck, Ismael Castell-Uroz, Pere Barlet-Ros
2024	—	`ed.`	Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop, GNNet 2024, Los Angeles, CA, USA, December 9-12, 2024 GNNet@CoNEXT Pere Barlet-Ros, Pedro Casas, Franco Scarselli, José Suárez-Varela, Albert Cabellos
2024	Misc	`conf`	Service Level Prediction in Non-Markovian Nonstationary Queues: A Simulation-Based Deep Learning Approach. WSC Spyros Garyfallos, Yunan Liu, Pere Barlet-Ros, Albert Cabellos-Aparicio
2024	—	`conf`	Towards a Graph-based Foundation Model for Network Traffic Analysis. GNNet@CoNEXT Louis Van Langendonck, Ismael Castell-Uroz, Pere Barlet-Ros
2024	J	`jnl`	Towards a graph-based foundation model for network traffic analysis. CoRR Louis Van Langendonck, Ismael Castell-Uroz, Pere Barlet-Ros
2024	—	`conf`	Wavelet-Enhanced Graph Neural Networks: Towards Non-Parametric Network Traffic Modeling. GNNet@CoNEXT Carlos Güemes-Palau, Miquel Ferriol-Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio
2023	J	`jnl`	A One-Pass Clustering Based Sketch Method for Network Monitoring. IEEE/ACM Trans. Netw. Yongquan Fu, Lun An, Siqi Shen, Kai Chen, Pere Barlet-Ros
2023	A*	`conf`	ASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss. INFOCOM Ismael Castell-Uroz, Kensuke Fukuda, Pere Barlet-Ros
2023	J	`jnl`	ASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss. CoRR Ismael Castell-Uroz, Kensuke Fukuda, Pere Barlet-Ros
2023	—	`conf`	Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. GNNet@CoNEXT Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023	J	`jnl`	Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. CoRR Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023	J	`jnl`	Building a Graph-based Deep Learning network model from captured traffic traces. CoRR Carlos Güemes-Palau, Miquel Ferriol-Galmés, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023	—	`conf`	Detecting Contextual Network Anomalies with Graph Neural Networks. GNNet@CoNEXT Hamid Latif, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023	J	`jnl`	Detecting Contextual Network Anomalies with Graph Neural Networks. CoRR Hamid Latif-Martínez, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023	—	`conf`	Detecting and Analyzing Mouse Tracking in the Wild. EuroS&P Workshops Marcel Urpí-Bricollé, Ismael Castell-Uroz, Pere Barlet-Ros
2023	J	`jnl`	Early detection of new web tracking methods across 1.5 million sites. Comput. Commun. Ismael Castell-Uroz, Óscar Sánchez-de-Mingo, Pere Barlet-Ros
2023	—	`conf`	Enhancing 5G Radio Planning with Graph Representations and Deep Learning. 5G-MeMZ@SIGCOMM Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023	J	`jnl`	Enhancing 5G Radio Planning with Graph Representations and Deep Learning. CoRR Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023	J	`jnl`	Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. IEEE Netw. 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
2023	J	`jnl`	GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters. CoRR Guillermo Bernárdez, José Suárez-Varela, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2023	J	`jnl`	Leveraging Spatial and Temporal Correlations for Network Traffic Compression. CoRR Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023	J	`jnl`	MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering. IEEE Trans. Cogn. Commun. Netw. Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2023	J	`jnl`	MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering. CoRR Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2023	—	`ed.`	Proceedings of the 2nd on Graph Neural Networking Workshop 2023, GNNet 2023, Paris, France, 8 December 2023 GNNet@CoNEXT Pere Barlet-Ros, Pedro Casas, Franco Scarselli, José Suárez-Varela, Albert Cabellos
2023	J	`jnl`	RouteNet-Fermi: Network Modeling With Graph Neural Networks. IEEE/ACM Trans. Netw. Miquel Ferriol-Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2023	J	`jnl`	Topological Graph Signal Compression. CoRR Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò
2023	—	`conf`	Topological Network Traffic Compression. GNNet@CoNEXT Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò
2023	J	`jnl`	TrackSign-labeled web tracking dataset. Comput. Networks Ismael Castell-Uroz, Pere Barlet-Ros
2023	J	`jnl`	ePrivo.eu: An Online Service for Automatic Web Tracking Discovery. IEEE Access Ismael Castell-Uroz, Ismael Douha-Prieto, Meritxell Basart-Dotras, Pol Mesegué-Molina, Pere Barlet-Ros
2022	B	`conf`	Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. NOMS Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022	J	`jnl`	Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. CoRR Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022	J	`jnl`	Amazon Alexa traffic traces. Comput. Networks Rubén Barceló-Armada, Ismael Castell-Uroz, Pere Barlet-Ros
2022	J	`jnl`	Building a Digital Twin for network optimization using Graph Neural Networks. Comput. Networks Miquel Ferriol-Galmés, José Suárez-Varela, Jordi Paillisse, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022	J	`jnl`	Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case. Comput. Commun. Paul Almasan, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022	J	`jnl`	Demystifying Content-Blockers: Measuring Their Impact on Performance and Quality of Experience. IEEE Trans. Netw. Serv. Manag. Ismael Castell-Uroz, Rubén Sanz-García, Josep Solé-Pareta, Pere Barlet-Ros
2022	J	`jnl`	Digital Twin Network: Opportunities and Challenges. CoRR 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
2022	J	`jnl`	ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning. Comput. Networks Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022	B	`conf`	Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. CNSM Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022	J	`jnl`	Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. CoRR Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022	Misc	`conf`	FlowDT: A Flow-Aware Digital Twin for Computer Networks. ICASSP Miquel Ferriol-Galmés, Xiangle Cheng, Xiang Shi, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022	J	`jnl`	Guest Editorial: Special Issue on Measurements, Sensors and Standards in Modern Communication Networks. IEEE Instrum. Meas. Mag. Domenico Capriglione, Pere Barlet-Ros, António Espírito-Santo
2022	J	`jnl`	Network Digital Twin: Context, Enabling Technologies and Opportunities. CoRR 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
2022	J	`jnl`	Network Digital Twin: Context, Enabling Technologies, and Opportunities. IEEE Commun. Mag. 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
2022	—	`ed.`	Proceedings of the 1st International Workshop on Graph Neural Networking, GNNet 2022, Rome, Italy, 9 December 2022 GNNet@CoNEXT Pere Barlet-Ros, Pedro Casas, Franco Scarselli, Xiangle Cheng, Albert Cabellos
2022	J	`jnl`	Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow. CoRR Ángela López-Cardona, Guillermo Bernárdez, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022	A*	`conf`	RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. INFOCOM Miquel Ferriol-Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022	J	`jnl`	RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. CoRR Miquel Ferriol-Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022	J	`jnl`	RouteNet-Fermi: Network Modeling with Graph Neural Networks. CoRR Miquel Ferriol-Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022	J	`jnl`	Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. SIGMETRICS Perform. Evaluation Rev. David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
2022	—	`conf`	Unveiling the potential of graph neural networks for BGP anomaly detection. GNNet@CoNEXT Hamid Latif, Jordi Paillisse, Jinze Yang, Albert Cabellos-Aparicio, Pere Barlet-Ros
2021	J	`jnl`	ENERO: Efficient Real-Time Routing Optimization. CoRR Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021	J	`jnl`	Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. CoRR 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
2021	J	`jnl`	IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems. CoRR David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros
2021	J	`jnl`	IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems. IEEE Netw. David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros
2021	—	`conf`	IGNNITION: fast prototyping of graph neural networks for communication networks. SIGCOMM Posters and Demos David Pujol-Perich, José Suárez-Varela, Miquel Ferriol-Galmés, Bo Wu, Shihan Xiao, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2021	B	`conf`	Is Machine Learning Ready for Traffic Engineering Optimization? ICNP Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021	J	`jnl`	Is Machine Learning Ready for Traffic Engineering Optimization? CoRR Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021	A*	`conf`	Jellyfish: Locality-Sensitive Subflow Sketching. INFOCOM Yongquan Fu, Lun An, Siqi Shen, Kai Chen, Pere Barlet-Ros
2021	J	`jnl`	Scaling Graph-based Deep Learning models to larger networks. CoRR Miquel Ferriol-Galmés, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021	J	`jnl`	The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks. CoRR José Suárez-Varela, Miquel Ferriol-Galmés, Albert López, 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
2021	J	`jnl`	The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. Comput. Commun. Rev. José Suárez-Varela, Miquel Ferriol-Galmés, Albert López, 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
2021	C	`conf`	Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. HPSR Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021	J	`jnl`	Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. CoRR Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021	A*	`conf`	TrackSign: Guided Web Tracking Discovery. INFOCOM Ismael Castell-Uroz, Josep Solé-Pareta, Pere Barlet-Ros
2021	J	`jnl`	Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. CoRR David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
2020	J	`jnl`	Applying Graph-based Deep Learning To Realistic Network Scenarios. CoRR Miquel Ferriol-Galmés, José Suárez-Varela, Pere Barlet-Ros, Albert Cabellos-Aparicio
2020	B	`conf`	Demystifying Content-blockers: A Large-scale Study of Actual Performance Gains. CNSM Ismael Castell-Uroz, Josep Solé-Pareta, Pere Barlet-Ros
2020	J	`jnl`	Demystifying content-blockers: A large scale study of actual performance gains. CoRR Ismael Castell-Uroz, Josep Solé-Pareta, Pere Barlet-Ros
2020	J	`jnl`	Network Measurements for Web Tracking Analysis and Detection: A Tutorial. IEEE Instrum. Meas. Mag. Ismael Castell-Uroz, Josep Solé-Pareta, Pere Barlet-Ros
2020	J	`jnl`	RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN. IEEE J. Sel. Areas Commun. Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio
2020	B	`conf`	URL-based Web Tracking Detection Using Deep Learning. CNSM Ismael Castell-Uroz, Théo Poissonnier, Pierre Manneback, Pere Barlet-Ros
2019	J	`jnl`	A Skewness-Aware Matrix Factorization Approach for Mesh-Structured Cloud Services. IEEE/ACM Trans. Netw. Yongquan Fu, Dongsheng Li, Pere Barlet-Ros, Chun Huang, Zhen Huang, Siqi Shen, Huayou Su
2019	—	`conf`	A first look into Alexa's interaction security. CoNEXT Companion Ismael Castell-Uroz, Xavier Marrugat-Plaza, Josep Solé-Pareta, Pere Barlet-Ros
2019	—	`conf`	Challenging the generalization capabilities of Graph Neural Networks for network modeling. SIGCOMM Posters and Demos José Suárez-Varela, Sergi Carol-Bosch, Krzysztof Rusek, Paul Almasan, Marta Arias, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019	J	`jnl`	Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case. CoRR Paul Almasan, José Suárez-Varela, Arnau Badia-Sampera, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019	—	`conf`	Detecting cryptocurrency miners with NetFlow/IPFIX network measurements. M&N Jordi Zayuelas i Muñoz, José Suárez-Varela, Pere Barlet-Ros
2019	—	`conf`	Feature Engineering for Deep Reinforcement Learning Based Routing. ICC José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019	J	`jnl`	RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN. CoRR Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019	—	`conf`	Routing Based on Deep Reinforcement Learning in Optical Transport Networks. OFC José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019	J	`jnl`	Routing in optical transport networks with deep reinforcement learning. JOCN José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2019	—	`conf`	Towards more realistic network models based on Graph Neural Networks. CoNEXT Companion Arnau Badia-Sampera, José Suárez-Varela, Paul Almasan, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019	—	`conf`	Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. SOSR Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019	J	`jnl`	Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. CoRR Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio
2018	—	`conf`	ALLIANCE Project: Architecting a Knowledge-Defined 5G-Enabled Network Infrastructure. ICTON Davide Careglio, Salvatore Spadaro, Albert Cabellos, José A. Lázaro, Jordi Perelló, Pere Barlet-Ros, Joan M. Gené, Jordi Paillisse
2018	J	`jnl`	Every Timestamp Counts: Accurate Tracking of Network Latencies Using Reconcilable Difference Aggregator. IEEE/ACM Trans. Netw. Yongquan Fu, Pere Barlet-Ros, Dongsheng Li
2018	J	`jnl`	Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs. Comput. Networks José Suárez-Varela, Pere Barlet-Ros
2018	—	`conf`	SBAR: SDN flow-Based monitoring and Application Recognition. SOSR José Suárez-Varela, Pere Barlet-Ros
2018	J	`jnl`	Securing the Control-plane Channel and Cache of Pull-based ID/LOC Protocols. CoRR Paul Almasan, Jordi Paillisse, Alberto Rodríguez-Natal, Pere Barlet-Ros, Florin Coras, Vina Ermagan, Fabio Maino, Albert Cabellos-Aparicio
2018	—	`conf`	Towards accurate classification of HTTPS traffic in Software-Defined Networks. I2MTC José Suárez-Varela, Pere Barlet-Ros
2017	J	`jnl`	A Survey on Web Tracking: Mechanisms, Implications, and Defenses. Proc. IEEE Tomasz Bujlow, Valentín Carela-Español, Beom-Ryeol Lee, Pere Barlet-Ros
2017	—	`conf`	Detecting network performance anomalies with contextual anomaly detection. M&N Giorgos Dimopoulos, Pere Barlet-Ros, Constantine Dovrolis, Ilias Leontiadis
2017	J	`jnl`	Knowledge-Defined Networking. Comput. Commun. Rev. 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
2017	J	`jnl`	Performance of Direct-Oversampling Correlator-Type Receivers in Chaos-Based DS-CDMA Systems Over Frequency Non-selective Fading Channels. Wirel. Pers. Commun. Nguyen Xuan Quyen, Pere Barlet-Ros
2017	J	`jnl`	Reinventing NetFlow for OpenFlow Software-Defined Networks. CoRR José Suárez-Varela, Pere Barlet-Ros
2017	A	`conf`	Towards a NetFlow Implementation for OpenFlow Software-Defined Networks. ITC José Suárez-Varela, Pere Barlet-Ros
2017	—	`conf`	Towards accurate detection of obfuscated web tracking. M&N Hoan Le, Federico Fallace, Pere Barlet-Ros
2016	J	`jnl`	A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic. Telecommun. Syst. Valentín Carela-Español, Pere Barlet-Ros, Albert Bifet, Kensuke Fukuda
2016	J	`jnl`	Knowledge-Defined Networking. CoRR 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
2016	J	`jnl`	Machine learning, data mining and Big Data frameworks for network monitoring and troubleshooting. Comput. Networks Alessandro D'Alconzo, Pere Barlet-Ros, Kensuke Fukuda, David R. Choffnes
2016	A	`conf`	Measuring Video QoE from Encrypted Traffic. Internet Measurement Conference Giorgos Dimopoulos, Ilias Leontiadis, Pere Barlet-Ros, Konstantina Papagiannaki
2016	—	`conf`	SUNSET: Sustainable network infrastructure enabling the future Digital Society. ICTON 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
2016	J	`jnl`	Special section on selected papers from TMA 2015. Comput. Commun. Pere Barlet-Ros, Moritz Steiner
2015	J	`jnl`	An Autonomic Traffic Classification System for Network Operation and Management. J. Netw. Syst. Manag. Valentín Carela-Español, Pere Barlet-Ros, Oriol Mula-Valls, Josep Solé-Pareta
2015	A	`conf`	Identifying the root cause of video streaming issues on mobile devices. CoNEXT Giorgos Dimopoulos, Ilias Leontiadis, Pere Barlet-Ros, Konstantina Papagiannaki, Peter Steenkiste
2015	J	`jnl`	Independent comparison of popular DPI tools for traffic classification. Comput. Networks Tomasz Bujlow, Valentín Carela-Español, Pere Barlet-Ros
2015	—	`ed.`	Traffic Monitoring and Analysis - 7th International Workshop, TMA 2015, Barcelona, Spain, April 21-24, 2015. Proceedings TMA Moritz Steiner, Pere Barlet-Ros, Olivier Bonaventure
2015	J	`jnl`	Web Tracking: Mechanisms, Implications, and Defenses. CoRR Tomasz Bujlow, Valentín Carela-Español, Josep Solé-Pareta, Pere Barlet-Ros
2014	B	`conf`	Is Our Ground-Truth for Traffic Classification Reliable? PAM Valentín Carela-Español, Tomasz Bujlow, Pere Barlet-Ros
2013	B	`conf`	Analysis of YouTube user experience from passive measurements. CNSM Giorgos Dimopoulos, Pere Barlet-Ros, Josep Sanjuàs-Cuxart
2013	B	`conf`	Empirical analysis of traffic to establish a profiled flow termination timeout. IWCMC Juan Molina Rodriguez, Valentín Carela-Español, Pere Barlet-Ros, Ralf Hoffmann, Klaus Degner
2013	J	`jnl`	FaRNet: Fast recognition of high-dimensional patterns from big network traffic data. Comput. Networks Ignasi Paredes-Oliva, Pere Barlet-Ros, Xenofontas A. Dimitropoulos
2013	A*	`conf`	FaRNet: fast recognition of high multi-dimensional network traffic patterns. SIGMETRICS Ignasi Paredes-Oliva, Pere Barlet-Ros, Xenofontas A. Dimitropoulos
2013	—	`conf`	ITMgen - A first-principles approach to generating synthetic interdomain traffic matrices. ICC Jakub Mikians, Nikolaos Laoutaris, Amogh Dhamdhere, Pere Barlet-Ros
2013	J	`jnl`	Scan Detection under Sampling: A New Perspective. Computer Ignasi Paredes-Oliva, Pere Barlet-Ros, Josep Solé-Pareta
2012	—	`conf`	A lightweight algorithm for traffic filtering over sliding windows. ICC Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Josep Solé-Pareta, Gabriella Andriuzzi
2012	A*	`conf`	Cuckoo sampling: Robust collection of flow aggregates under a fixed memory budget. INFOCOM Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Nick G. Duffield, Ramana Rao Kompella
2012	J	`jnl`	Measurement Based Analysis of One-Click File Hosting Services. J. Netw. Syst. Manag. Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Josep Solé-Pareta
2012	J	`jnl`	Operational experiences with anomaly detection in backbone networks. Comput. Secur. Maurizio Molina, Ignasi Paredes-Oliva, Wayne Routly, Pere Barlet-Ros
2012	—	`conf`	Practical anomaly detection based on classifying frequent traffic patterns. INFOCOM Workshops Ignasi Paredes-Oliva, Ismael Castell-Uroz, Pere Barlet-Ros, Xenofontas A. Dimitropoulos, Josep Solé-Pareta
2012	B	`conf`	Towards a Statistical Characterization of the Interdomain Traffic Matrix. Networking (2) Jakub Mikians, Amogh Dhamdhere, Constantine Dovrolis, Pere Barlet-Ros, Josep Solé-Pareta
2012	J	`jnl`	fHA: A flexible and distributed Home Agent architecture for Mobile-IP based networks. Inf. Sci. Albert Cabellos-Aparicio, Dorin-Mircea Cioran, Pere Barlet-Ros, Jordi Domingo-Pascual, Virgil Dobrota
2011	B	`conf`	A Practical Approach to Portscan Detection in Very High-Speed Links. PAM Jakub Mikians, Pere Barlet-Ros, Josep Sanjuàs-Cuxart, Josep Solé-Pareta
2011	J	`jnl`	Analysis of the impact of sampling on NetFlow traffic classification. Comput. Networks Valentín Carela-Español, Pere Barlet-Ros, Albert Cabellos-Aparicio, Josep Solé-Pareta
2011	J	`jnl`	Predictive resource management of multiple monitoring applications. IEEE/ACM Trans. Netw. Pere Barlet-Ros, Gianluca Iannaccone, Josep Sanjuàs-Cuxart, Josep Solé-Pareta
2011	A	`conf`	Sketching the delay: tracking temporally uncorrelated flow-level latencies. Internet Measurement Conference Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Nick G. Duffield, Ramana Rao Kompella
2010	A*	`conf`	Automating root-cause analysis of network anomalies using frequent itemset mining. SIGCOMM Ignasi Paredes-Oliva, Xenofontas A. Dimitropoulos, Maurizio Molina, Pere Barlet-Ros, Daniela Brauckhoff
2010	—	`conf`	K-Dimensional Trees for Continuous Traffic Classification. TMA Valentín Carela-Español, Pere Barlet-Ros, Marc Solé-Simó, Alberto Dainotti, Walter de Donato, Antonio Pescapè
2010	—	`conf`	Validation and Improvement of the Lossy Difference Aggregator to Measure Packet Delays. TMA Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Josep Solé-Pareta
2009	B	`conf`	Counting Flows over Sliding Windows in High Speed Networks. Networking Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Josep Solé-Pareta
2009	—	`conf`	Portscan Detection with Sampled NetFlow. TMA Ignasi Paredes-Oliva, Pere Barlet-Ros, Josep Solé-Pareta
2009	J	`jnl`	Robust network monitoring in the presence of non-cooperative traffic queries. Comput. Networks Pere Barlet-Ros, Gianluca Iannaccone, Josep Sanjuàs-Cuxart, Josep Solé-Pareta
2008	C	`conf`	Distributed sampling for on-line SLA assessment. LANMAN René Serral-Gracià, Pere Barlet-Ros, Jordi Domingo-Pascual
2008	A	`conf`	Distributed scheduling in large scale monitoring infrastructures. CoNEXT Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Gianluca Iannaccone, Josep Solé-Pareta
2008	—	`—`	Load shedding in network monitoring applications. Pere Barlet-Ros
2007	—	`conf`	Load Shedding in Network Monitoring Applications. USENIX ATC Pere Barlet-Ros, Gianluca Iannaccone, Josep Sanjuàs-Cuxart, Diego Amores-López, Josep Solé-Pareta
2007	B	`conf`	On-Line Predictive Load Shedding for Network Monitoring. Networking Pere Barlet-Ros, Diego Amores-López, Gianluca Iannaccone, Josep Sanjuàs-Cuxart, Josep Solé-Pareta
2003	—	`ch.`	Pricing and QoS. QofIS Final Report Burkhard Stiller, Pere Barlet-Ros, John Cushnie, Jordi Domingo-Pascual, David Hutchison, Rui J. Lopes, Andreas Mauthe, Mihai Popa, James Roberts, Josep Solé-Pareta, Denis Trcek, Carlos Veciana-Nogués