Pricing and QoS. - Burkhard Stiller; Pere Barlet-Ros; John Cushnie; Jordi Domingo-Pascual; David Hutchison 001; Rui J. Lopes; Andreas Mauthe; Mihai Popa; James Roberts; Josep Solé-Pareta; Denis Trcek; Carlos Veciana-Nogués (QofIS Final Report, 2003)

On-Line Predictive Load Shedding for Network Monitoring. - Pere Barlet-Ros; Diego Amores-López; Gianluca Iannaccone; Josep Sanjuàs-Cuxart; Josep Solé-Pareta (Networking, 2007)

Load Shedding in Network Monitoring Applications. - Pere Barlet-Ros; Gianluca Iannaccone; Josep Sanjuàs-Cuxart; Diego Amores-López; Josep Solé-Pareta (USENIX ATC, 2007)

Distributed scheduling in large scale monitoring infrastructures. - Josep Sanjuàs-Cuxart; Pere Barlet-Ros; Gianluca Iannaccone; Josep Solé-Pareta (CoNEXT, 2008)

Distributed sampling for on-line SLA assessment. - René Serral-Gracià; Pere Barlet-Ros; Jordi Domingo-Pascual (LANMAN, 2008)

Load shedding in network monitoring applications. - Pere Barlet-Ros (2008)

Portscan Detection with Sampled NetFlow. - Ignasi Paredes-Oliva; Pere Barlet-Ros; Josep Solé-Pareta (TMA, 2009)

Counting Flows over Sliding Windows in High Speed Networks. - Josep Sanjuàs-Cuxart; Pere Barlet-Ros; Josep Solé-Pareta (Networking, 2009)

Robust network monitoring in the presence of non-cooperative traffic queries. - Pere Barlet-Ros; Gianluca Iannaccone; Josep Sanjuàs-Cuxart; Josep Solé-Pareta (Comput. Networks, 2009)

Automating root-cause analysis of network anomalies using frequent itemset mining. - Ignasi Paredes-Oliva; Xenofontas A. Dimitropoulos; Maurizio Molina; Pere Barlet-Ros; Daniela Brauckhoff (SIGCOMM, 2010)

K-Dimensional Trees for Continuous Traffic Classification. - Valentín Carela-Español; Pere Barlet-Ros; Marc Solé-Simó; Alberto Dainotti; Walter de Donato; Antonio Pescapè (TMA, 2010)

Validation and Improvement of the Lossy Difference Aggregator to Measure Packet Delays. - Josep Sanjuàs-Cuxart; Pere Barlet-Ros; Josep Solé-Pareta (TMA, 2010)

Sketching the delay: tracking temporally uncorrelated flow-level latencies. - Josep Sanjuàs-Cuxart; Pere Barlet-Ros; Nick G. Duffield; Ramana Rao Kompella (Internet Measurement Conference, 2011)

A Practical Approach to Portscan Detection in Very High-Speed Links. - Jakub Mikians; Pere Barlet-Ros; Josep Sanjuàs-Cuxart; Josep Solé-Pareta (PAM, 2011)

Analysis of the impact of sampling on NetFlow traffic classification. - Valentín Carela-Español; Pere Barlet-Ros; Albert Cabellos-Aparicio; Josep Solé-Pareta (Comput. Networks, 2011)

Predictive resource management of multiple monitoring applications. - Pere Barlet-Ros; Gianluca Iannaccone; Josep Sanjuàs-Cuxart; Josep Solé-Pareta (IEEE/ACM Trans. Netw., 2011)

A lightweight algorithm for traffic filtering over sliding windows. - Josep Sanjuàs-Cuxart; Pere Barlet-Ros; Josep Solé-Pareta; Gabriella Andriuzzi (ICC, 2012)

Practical anomaly detection based on classifying frequent traffic patterns. - Ignasi Paredes-Oliva; Ismael Castell-Uroz; Pere Barlet-Ros; Xenofontas A. Dimitropoulos; Josep Solé-Pareta (INFOCOM Workshops, 2012)

Cuckoo sampling: Robust collection of flow aggregates under a fixed memory budget. - Josep Sanjuàs-Cuxart; Pere Barlet-Ros; Nick G. Duffield; Ramana Rao Kompella (INFOCOM, 2012)

Towards a Statistical Characterization of the Interdomain Traffic Matrix. - Jakub Mikians; Amogh Dhamdhere; Constantine Dovrolis; Pere Barlet-Ros; Josep Solé-Pareta (Networking (2), 2012)

Operational experiences with anomaly detection in backbone networks. - Maurizio Molina; Ignasi Paredes-Oliva; Wayne Routly; Pere Barlet-Ros (Comput. Secur., 2012)

fHA: A flexible and distributed Home Agent architecture for Mobile-IP based networks. - Albert Cabellos-Aparicio; Dorin-Mircea Cioran; Pere Barlet-Ros; Jordi Domingo-Pascual; Virgil Dobrota (Inf. Sci., 2012)

Measurement Based Analysis of One-Click File Hosting Services. - Josep Sanjuàs-Cuxart; Pere Barlet-Ros; Josep Solé-Pareta (J. Netw. Syst. Manag., 2012)

Analysis of YouTube user experience from passive measurements. - Giorgos Dimopoulos; Pere Barlet-Ros; Josep Sanjuàs-Cuxart (CNSM, 2013)

ITMgen - A first-principles approach to generating synthetic interdomain traffic matrices. - Jakub Mikians; Nikolaos Laoutaris; Amogh Dhamdhere; Pere Barlet-Ros (ICC, 2013)

Empirical analysis of traffic to establish a profiled flow termination timeout. - Juan Molina Rodriguez; Valentín Carela-Español; Pere Barlet-Ros; Ralf Hoffmann; Klaus Degner (IWCMC, 2013)

FaRNet: fast recognition of high multi-dimensional network traffic patterns. - Ignasi Paredes-Oliva; Pere Barlet-Ros; Xenofontas A. Dimitropoulos (SIGMETRICS, 2013)

FaRNet: Fast recognition of high-dimensional patterns from big network traffic data. - Ignasi Paredes-Oliva; Pere Barlet-Ros; Xenofontas A. Dimitropoulos (Comput. Networks, 2013)

Scan Detection under Sampling: A New Perspective. - Ignasi Paredes-Oliva; Pere Barlet-Ros; Josep Solé-Pareta (Computer, 2013)

Is Our Ground-Truth for Traffic Classification Reliable? - Valentín Carela-Español; Tomasz Bujlow; Pere Barlet-Ros (PAM, 2014)

Identifying the root cause of video streaming issues on mobile devices. - Giorgos Dimopoulos; Ilias Leontiadis; Pere Barlet-Ros; Konstantina Papagiannaki; Peter Steenkiste (CoNEXT, 2015)

Independent comparison of popular DPI tools for traffic classification. - Tomasz Bujlow; Valentín Carela-Español; Pere Barlet-Ros (Comput. Networks, 2015)

Web Tracking: Mechanisms, Implications, and Defenses. - Tomasz Bujlow; Valentín Carela-Español; Josep Solé-Pareta; Pere Barlet-Ros (CoRR, 2015)

An Autonomic Traffic Classification System for Network Operation and Management. - Valentín Carela-Español; Pere Barlet-Ros; Oriol Mula-Valls; Josep Solé-Pareta (J. Netw. Syst. Manag., 2015)

SUNSET: Sustainable network infrastructure enabling the future Digital Society. - 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 (ICTON, 2016)

Measuring Video QoE from Encrypted Traffic. - Giorgos Dimopoulos; Ilias Leontiadis; Pere Barlet-Ros; Konstantina Papagiannaki (Internet Measurement Conference, 2016)

Machine learning, data mining and Big Data frameworks for network monitoring and troubleshooting. - Alessandro D'Alconzo; Pere Barlet-Ros; Kensuke Fukuda; David R. Choffnes (Comput. Networks, 2016)

Special section on selected papers from TMA 2015. - Pere Barlet-Ros; Moritz Steiner (Comput. Commun., 2016)

A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic. - Valentín Carela-Español; Pere Barlet-Ros; Albert Bifet; Kensuke Fukuda (Telecommun. Syst., 2016)

Detecting network performance anomalies with contextual anomaly detection. - Giorgos Dimopoulos; Pere Barlet-Ros; Constantine Dovrolis; Ilias Leontiadis (M&N, 2017)

Towards accurate detection of obfuscated web tracking. - Hoan Le; Federico Fallace; Pere Barlet-Ros (M&N, 2017)

Towards a NetFlow Implementation for OpenFlow Software-Defined Networks. - José Suárez-Varela; Pere Barlet-Ros (ITC, 2017)

Knowledge-Defined Networking. - 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; et al. (Comput. Commun. Rev., 2017)

Reinventing NetFlow for OpenFlow Software-Defined Networks. - José Suárez-Varela; Pere Barlet-Ros (CoRR, 2017)

A Survey on Web Tracking: Mechanisms, Implications, and Defenses. - Tomasz Bujlow; Valentín Carela-Español; Beom-Ryeol Lee; Pere Barlet-Ros (Proc. IEEE, 2017)

Performance of Direct-Oversampling Correlator-Type Receivers in Chaos-Based DS-CDMA Systems Over Frequency Non-selective Fading Channels. - Nguyen Xuan Quyen; Pere Barlet-Ros (Wirel. Pers. Commun., 2017)

Towards accurate classification of HTTPS traffic in Software-Defined Networks. - José Suárez-Varela; Pere Barlet-Ros (I2MTC, 2018)

ALLIANCE Project: Architecting a Knowledge-Defined 5G-Enabled Network Infrastructure. - Davide Careglio; Salvatore Spadaro; Albert Cabellos; José A. Lázaro; Jordi Perelló; Pere Barlet-Ros; Joan M. Gené; Jordi Paillisse (ICTON, 2018)

SBAR: SDN flow-Based monitoring and Application Recognition. - José Suárez-Varela; Pere Barlet-Ros (SOSR, 2018)

Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs. - José Suárez-Varela; Pere Barlet-Ros (Comput. Networks, 2018)

Securing the Control-plane Channel and Cache of Pull-based ID/LOC Protocols. - Paul Almasan; Jordi Paillisse; Alberto Rodríguez-Natal; Pere Barlet-Ros; Florin Coras; Vina Ermagan; Fabio Maino; Albert Cabellos-Aparicio (CoRR, 2018)

Every Timestamp Counts: Accurate Tracking of Network Latencies Using Reconcilable Difference Aggregator. - Yongquan Fu; Pere Barlet-Ros; Dongsheng Li 001 (IEEE/ACM Trans. Netw., 2018)

Towards more realistic network models based on Graph Neural Networks. - Arnau Badia-Sampera; José Suárez-Varela; Paul Almasan; Krzysztof Rusek; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoNEXT Companion, 2019)

A first look into Alexa's interaction security. - Ismael Castell-Uroz; Xavier Marrugat-Plaza; Josep Solé-Pareta; Pere Barlet-Ros (CoNEXT Companion, 2019)

Feature Engineering for Deep Reinforcement Learning Based Routing. - José Suárez-Varela; Albert Mestres; Junlin Yu; Li Kuang; Haoyu Feng; Pere Barlet-Ros; Albert Cabellos-Aparicio (ICC, 2019)

Detecting cryptocurrency miners with NetFlow/IPFIX network measurements. - Jordi Zayuelas i Muñoz; José Suárez-Varela; Pere Barlet-Ros (M&N, 2019)

Routing Based on Deep Reinforcement Learning in Optical Transport Networks. - José Suárez-Varela; Albert Mestres; Junlin Yu; Li Kuang; Haoyu Feng; Pere Barlet-Ros; Albert Cabellos-Aparicio (OFC, 2019)

Challenging the generalization capabilities of Graph Neural Networks for network modeling. - José Suárez-Varela; Sergi Carol-Bosch; Krzysztof Rusek; Paul Almasan; Marta Arias; Pere Barlet-Ros; Albert Cabellos-Aparicio (SIGCOMM Posters and Demos, 2019)

Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. - Krzysztof Rusek; José Suárez-Varela; Albert Mestres; Pere Barlet-Ros; Albert Cabellos-Aparicio (SOSR, 2019)

Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case. - Paul Almasan; José Suárez-Varela; Arnau Badia-Sampera; Krzysztof Rusek; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoRR, 2019)

Routing in optical transport networks with deep reinforcement learning. - José Suárez-Varela; Albert Mestres; Junlin Yu; Li Kuang; Haoyu Feng; Albert Cabellos-Aparicio; Pere Barlet-Ros (JOCN, 2019)

A Skewness-Aware Matrix Factorization Approach for Mesh-Structured Cloud Services. - Yongquan Fu; Dongsheng Li 001; Pere Barlet-Ros; Chun Huang; Zhen Huang 006; Siqi Shen; Huayou Su (IEEE/ACM Trans. Netw., 2019)

URL-based Web Tracking Detection Using Deep Learning. - Ismael Castell-Uroz; Théo Poissonnier; Pierre Manneback; Pere Barlet-Ros (CNSM, 2020)

Demystifying Content-blockers: A Large-scale Study of Actual Performance Gains. - Ismael Castell-Uroz; Josep Solé-Pareta; Pere Barlet-Ros (CNSM, 2020)

Applying Graph-based Deep Learning To Realistic Network Scenarios. - Miquel Ferriol Galmés; José Suárez-Varela; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoRR, 2020)

Network Measurements for Web Tracking Analysis and Detection: A Tutorial. - Ismael Castell-Uroz; Josep Solé-Pareta; Pere Barlet-Ros (IEEE Instrum. Meas. Mag., 2020)

RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN. - Krzysztof Rusek; José Suárez-Varela; Paul Almasan; Pere Barlet-Ros; Albert Cabellos-Aparicio (IEEE J. Sel. Areas Commun., 2020)

Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. - Paul Almasan; José Suárez-Varela; Bo Wu; Shihan Xiao; Pere Barlet-Ros; Albert Cabellos-Aparicio (HPSR, 2021)

Is Machine Learning Ready for Traffic Engineering Optimization? - Guillermo Bernárdez; José Suárez-Varela; Albert López; Bo Wu; Shihan Xiao; Xiangle Cheng; Pere Barlet-Ros; Albert Cabellos-Aparicio (ICNP, 2021)

TrackSign: Guided Web Tracking Discovery. - Ismael Castell-Uroz; Josep Solé-Pareta; Pere Barlet-Ros (INFOCOM, 2021)

Jellyfish: Locality-Sensitive Subflow Sketching. - Yongquan Fu; Lun An; Siqi Shen; Kai Chen 005; Pere Barlet-Ros (INFOCOM, 2021)

IGNNITION: fast prototyping of graph neural networks for communication networks. - David Pujol-Perich; José Suárez-Varela; Miquel Ferriol Galmés; Bo Wu; Shihan Xiao; Xiangle Cheng; Albert Cabellos-Aparicio; Pere Barlet-Ros (SIGCOMM Posters and Demos, 2021)

The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. - José Suárez-Varela; Miquel Ferriol Galmés; Albert López; Paul Almasan; Guillermo Bernárdez; David Pujol-Perich; Krzysztof Rusek; Loïck Bonniot; Christoph Neumann 001; François Schnitzler; François Taïani; Martin Happ; et al. (Comput. Commun. Rev., 2021)

ENERO: Efficient Real-Time Routing Optimization. - Paul Almasan; Shihan Xiao; Xiangle Cheng; Xiang Shi; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoRR, 2021)

Scaling Graph-based Deep Learning models to larger networks. - Miquel Ferriol Galmés; José Suárez-Varela; Krzysztof Rusek; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoRR, 2021)

IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems. - David Pujol-Perich; José Suárez-Varela; Miquel Ferriol; Shihan Xiao; Bo Wu; Albert Cabellos-Aparicio; Pere Barlet-Ros (IEEE Netw., 2021)

Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. - Krzysztof Rusek; Paul Almasan; José Suárez-Varela; Piotr Cholda; Pere Barlet-Ros; Albert Cabellos-Aparicio (CNSM, 2022)

Unveiling the potential of graph neural networks for BGP anomaly detection. - Hamid Latif; Jordi Paillisse; Jinze Yang; Albert Cabellos-Aparicio; Pere Barlet-Ros (GNNet@CoNEXT, 2022)

FlowDT: A Flow-Aware Digital Twin for Computer Networks. - Miquel Ferriol Galmés; Xiangle Cheng; Xiang Shi; Shihan Xiao; Pere Barlet-Ros; Albert Cabellos-Aparicio (ICASSP, 2022)

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. - Miquel Ferriol Galmés; Krzysztof Rusek; José Suárez-Varela; Shihan Xiao; Xiang Shi; Xiangle Cheng; Bo Wu; Pere Barlet-Ros; Albert Cabellos-Aparicio (INFOCOM, 2022)

Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. - Carlos Güemes-Palau; Paul Almasan; Shihan Xiao; Xiangle Cheng; Xiang Shi; Pere Barlet-Ros; Albert Cabellos-Aparicio (NOMS, 2022)

Network Digital Twin: Context, Enabling Technologies, and Opportunities. - Paul Almasan; Miquel Ferriol Galmés; Jordi Paillisse; José Suárez-Varela; Diego Perino; Diego R. López; Antonio Agustin Pastor Perales; Paul Harvey 002; Laurent Ciavaglia; Leon Wong; Vishnu Ram; Shihan Xiao; et al. (IEEE Commun. Mag., 2022)

ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning. - Paul Almasan; Shihan Xiao; Xiangle Cheng; Xiang Shi; Pere Barlet-Ros; Albert Cabellos-Aparicio (Comput. Networks, 2022)

Amazon Alexa traffic traces. - Rubén Barceló-Armada; Ismael Castell-Uroz; Pere Barlet-Ros (Comput. Networks, 2022)

Building a Digital Twin for network optimization using Graph Neural Networks. - Miquel Ferriol Galmés; José Suárez-Varela; Jordi Paillisse; Xiang Shi; Shihan Xiao; Xiangle Cheng; Pere Barlet-Ros; Albert Cabellos-Aparicio (Comput. Networks, 2022)

Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case. - Paul Almasan; José Suárez-Varela; Krzysztof Rusek; Pere Barlet-Ros; Albert Cabellos-Aparicio (Comput. Commun., 2022)

Digital Twin Network: Opportunities and Challenges. - Paul Almasan; Miquel Ferriol Galmés; Jordi Paillisse; José Suárez-Varela; Diego Perino; Diego R. López; Antonio Agustin Pastor Perales; Paul Harvey 002; Laurent Ciavaglia; Leon Wong; Vishnu Ram; Shihan Xiao; et al. (CoRR, 2022)

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. - Miquel Ferriol Galmés; Krzysztof Rusek; José Suárez-Varela; Shihan Xiao; Xiangle Cheng; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoRR, 2022)

Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow. - Ángela López-Cardona; Guillermo Bernárdez; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoRR, 2022)

Guest Editorial: Special Issue on Measurements, Sensors and Standards in Modern Communication Networks. - Domenico Capriglione; Pere Barlet-Ros; António Espírito-Santo 001 (IEEE Instrum. Meas. Mag., 2022)

Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. - David Pujol-Perich; José Suárez-Varela; Albert Cabellos-Aparicio; Pere Barlet-Ros (SIGMETRICS Perform. Evaluation Rev., 2022)

Demystifying Content-Blockers: Measuring Their Impact on Performance and Quality of Experience. - Ismael Castell-Uroz; Rubén Sanz-García; Josep Solé-Pareta; Pere Barlet-Ros (IEEE Trans. Netw. Serv. Manag., 2022)

Enhancing 5G Radio Planning with Graph Representations and Deep Learning. - Paul Almasan; José Suárez-Varela; Andra Lutu; Albert Cabellos-Aparicio; Pere Barlet-Ros (5G-MeMZ@SIGCOMM, 2023)

Detecting and Analyzing Mouse Tracking in the Wild. - Marcel Urpí-Bricollé; Ismael Castell-Uroz; Pere Barlet-Ros (EuroS&P Workshops, 2023)

Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. - Paul Almasan; Krzysztof Rusek; Shihan Xiao; Xiang Shi; Xiangle Cheng; Albert Cabellos-Aparicio; Pere Barlet-Ros (GNNet@CoNEXT, 2023)

Topological Network Traffic Compression. - Guillermo Bernárdez; Lev Telyatnikov; Eduard Alarcón; Albert Cabellos-Aparicio; Pere Barlet-Ros; Pietro Liò (GNNet@CoNEXT, 2023)

Detecting Contextual Network Anomalies with Graph Neural Networks. - Hamid Latif; José Suárez-Varela; Albert Cabellos-Aparicio; Pere Barlet-Ros (GNNet@CoNEXT, 2023)

ASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss. - Ismael Castell-Uroz; Kensuke Fukuda; Pere Barlet-Ros (INFOCOM, 2023)

ePrivo.eu: An Online Service for Automatic Web Tracking Discovery. - Ismael Castell-Uroz; Ismael Douha-Prieto; Meritxell Basart-Dotras; Pol Mesegué-Molina; Pere Barlet-Ros (IEEE Access, 2023)

Leveraging Spatial and Temporal Correlations for Network Traffic Compression. - Paul Almasan; Krzysztof Rusek; Shihan Xiao; Xiang Shi; Xiangle Cheng; Albert Cabellos-Aparicio; Pere Barlet-Ros (CoRR, 2023)

Topological Graph Signal Compression. - Guillermo Bernárdez; Lev Telyatnikov; Eduard Alarcón; Albert Cabellos-Aparicio; Pere Barlet-Ros; Pietro Liò (CoRR, 2023)

Building a Graph-based Deep Learning network model from captured traffic traces. - Carlos Güemes-Palau; Miquel Ferriol Galmés; Albert Cabellos-Aparicio; Pere Barlet-Ros (CoRR, 2023)

Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. - 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 (IEEE Netw., 2023)

MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering. - Guillermo Bernárdez; José Suárez-Varela; Albert López; Xiang Shi; Shihan Xiao; Xiangle Cheng; Pere Barlet-Ros; Albert Cabellos-Aparicio (IEEE Trans. Cogn. Commun. Netw., 2023)

TrackSign-labeled web tracking dataset. - Ismael Castell-Uroz; Pere Barlet-Ros (Comput. Networks, 2023)

Early detection of new web tracking methods across 1.5 million sites. - Ismael Castell-Uroz; Óscar Sánchez-de-Mingo; Pere Barlet-Ros (Comput. Commun., 2023)

A One-Pass Clustering Based Sketch Method for Network Monitoring. - Yongquan Fu; Lun An; Siqi Shen; Kai Chen 005; Pere Barlet-Ros (IEEE/ACM Trans. Netw., 2023)

RouteNet-Fermi: Network Modeling With Graph Neural Networks. - Miquel Ferriol Galmés; Jordi Paillisse; José Suárez-Varela; Krzysztof Rusek; Shihan Xiao; Xiang Shi; Xiangle Cheng; Pere Barlet-Ros; Albert Cabellos-Aparicio (IEEE/ACM Trans. Netw., 2023)

A First Look into Utiq: Next-Generation Cookies at the ISP Level. - Ismael Castell-Uroz; Pere Barlet-Ros (EuroS&P Workshops, 2024)

AST-GNN: A Graph Neural Network for Web Tracking Detection. - Eloi Campeny-Roig; Ismael Castell-Uroz; Pere Barlet-Ros (GNNet@CoNEXT, 2024)

Wavelet-Enhanced Graph Neural Networks: Towards Non-Parametric Network Traffic Modeling. - Carlos Güemes-Palau; Miquel Ferriol Galmés; Jordi Paillissé Vilanova; Albert Lopez-Bresco; Pere Barlet-Ros; Albert Cabellos-Aparicio (GNNet@CoNEXT, 2024)

Towards a Graph-based Foundation Model for Network Traffic Analysis. - Louis Van Langendonck; Ismael Castell-Uroz; Pere Barlet-Ros (GNNet@CoNEXT, 2024)

Circuit Partitioning for Multi-Core Quantum Architectures with Deep Reinforcement Learning. - Arnau Pastor; Pau Escofet; Sahar Ben Rached; Eduard Alarcón; Pere Barlet-Ros; Sergi Abadal (ISCAS, 2024)

Service Level Prediction in Non-Markovian Nonstationary Queues: A Simulation-Based Deep Learning Approach. - Spyros Garyfallos; Yunan Liu; Pere Barlet-Ros; Albert Cabellos-Aparicio (WSC, 2024)

PPT-GNN: A Practical Pre-Trained Spatio-Temporal Graph Neural Network for Network Security. - Louis Van Langendonck; Ismael Castell-Uroz; Pere Barlet-Ros (CoRR, 2024)

PPT-GNN: A Practical Pretrained Spatio-Temporal Graph Neural Network for Network Security. - Louis Van Langendonck; Ismael Castell-Uroz; Pere Barlet-Ros (EuroS&P (Workshops), 2025)

Graph Neural Networks for Graph-Level Anomaly Detection in Network Intrusion Detection. - Georgios Anyfantis; Ismael Castell-Uroz; Pere Barlet-Ros (TMA, 2025)

TSGFM - Towards a Graph Foundation Model for Time Series Analysis in Network Monitoring. - Hamid Latif-Martínez; Pedro Casas; José Suárez-Varela; Albert Cabellos-Aparicio; Pere Barlet-Ros (TMA, 2025)

GAT-AD: Graph Attention Networks for contextual anomaly detection in network monitoring. - Hamid Latif-Martínez; José Suárez-Varela; Albert Cabellos-Aparicio; Pere Barlet-Ros (Comput. Ind. Eng., 2025)

GraphCC: A practical graph learning-based approach to Congestion Control in datacenters. - Guillermo Bernárdez; José Suárez-Varela; Xiang Shi; Shihan Xiao; Xiangle Cheng; Pere Barlet-Ros; Albert Cabellos-Aparicio (Comput. Networks, 2025)

RouteNet-Gauss: Hardware-Enhanced Network Modeling with Machine Learning. - Carlos Güemes-Palau; Miquel Ferriol Galmés; Jordi Paillissé Vilanova; Albert Lopez-Bresco; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoRR, 2025)

Ordered Topological Deep Learning: a Network Modeling Case Study. - Guillermo Bernárdez; Miquel Ferriol Galmés; Carlos Güemes-Palau; Mathilde Papillon; Pere Barlet-Ros; Albert Cabellos-Aparicio; Nina Miolane (CoRR, 2025)