Pedro Casas - RankMe

195 papers A* 7A 8B 44C 1Misc 2Journal 39Unranked 85

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Phishing the Phishers with SpecularNet: Hierarchical Graph Autoencoding for Reference-Free Web Phishing Detection. CoRR Tailai Song, Pedro Casas, Michela Meo
2025	—	`conf`	Do We Really Need Reference-Based Phishing Detection? Unleashing the Power of GNN. TMA Tailai Song, Pedro Casas, Michela Meo
2025	J	`jnl`	Exploring the application of Time Series Foundation Models to network monitoring tasks. Comput. Networks Nikolas Wehner, Pedro Casas, Katharina Dietz, Stefan Geißler, Tobias Hoßfeld, Michael Seufert
2025	—	`conf`	FREKit: A Flexible Simulator for Probabilistic Congestion and Rerouting in Multi-Protocol Networks. TMA Juan Vanerio, Pedro Casas, Stefan Schmid
2025	—	`conf`	Hunting Review Bombs with BRIDGE - A Bipartite Graph Neural Network Approach to Abuse Detection. EuroS&P (Workshops) Gonzalo Sobarzo Abufon, Juan Vanerio, Javier Bustos-Jiménez, Pedro Casas
2025	B	`conf`	Malicious Domain Names Detection with DeepDGA, a Hybrid Character and Word Embeddings Deep Learning Architecture. CNSM Lucas Torrealba Aravena, Pedro Casas, Diego García, Javier Bustos-Jiménez, Ivana Bachmann
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
2025	J	`jnl`	Towards Foundation Auto-Encoders for Time-Series Anomaly Detection. CoRR Gastón García González, Pedro Casas, Emilio Martínez, Alicia Fernández
2025	—	`conf`	Towards Intelligent Resource Allocation in Highly-Distributed Content Delivery Networks Using Graph Neural Networks. TMA Juan Vanerio, Pedro Casas, Stefan Schmid
2025	—	`conf`	User Association in Wireless Networks with Distributed GNN-Based Reinforcement Learning. NTMS Martín Randall, Santiago Paternain, Pedro Casas, Federico Larroca, Pablo Belzarena
2024	B	`conf`	Agree to Disagree: Exploring Consensus of XAI Methods for ML-based NIDS. CNSM Katharina Dietz, Mehrdad Hajizadeh, Johannes Schleicher, Nikolas Wehner, Stefan Geißler, Pedro Casas, Michael Seufert, Tobias Hoßfeld
2024	B	`conf`	Certainly Uncertain: Demystifying ML Uncertainty for Active Learning in Network Monitoring Tasks. CNSM Katharina Dietz, Mehrdad Hajizadeh, Nikolas Wehner, Stefan Geißler, Pedro Casas, Michael Seufert, Tobias Hoßfeld
2024	B	`conf`	Detecting Attacks at Switching Speed: Ai/Ml and Active Learning for in-Network Monitoring in Data Planes. ICNP Belén Brandino, Pedro Casas, Eduardo Grampín
2024	—	`conf`	HALIDS: a Hardware-Assisted Machine Learning IDS for in-Network Monitoring. TMA Belén Brandino, Eduardo Grampín, Katharina Dietz, Nikolas Wehner, Michael Seufert, Tobias Hoßfeld, Pedro Casas
2024	J	`jnl`	Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale. IEEE Trans. Netw. Serv. Manag. Michael Seufert, Katharina Dietz, Nikolas Wehner, Stefan Geißler, Joshua Schüler, Manuel Wolz, Andreas Hotho, Pedro Casas, Tobias Hoßfeld, Anja Feldmann
2024	—	`conf`	More than Words is What you Need - Detecting DGA and Phishing Domains with Dom2Vec Word Embeddings. TMA Lucas Torrealba Aravena, Pedro Casas, Javier Bustos-Jiménez, Mislav Findrik
2024	—	`conf`	On the Quest for Foundation Generative-AI Models for Anomaly Detection in Time-Series Data. EuroS&P Workshops Gastón García González, Pedro Casas, Emilio Martínez, Alicia Fernández
2024	J	`jnl`	One Model to Find Them All Deep Learning for Multivariate Time-Series Anomaly Detection in Mobile Network Data. IEEE Trans. Netw. Serv. Manag. Gastón García González, Sergio Martinez Tagliafico, Alicia Fernández, Gabriel Gómez Sena, José Acuña, Pedro Casas
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	—	`conf`	Timeless Foundations: Exploring DC-VAEs as Foundation Models for Time Series Analysis. TMA Gastón García González, Pedro Casas, Emilio Martínez, Alicia Fernández
2023	—	`conf`	Deep Generative Replay for Multivariate Time-Series Monitoring with Variational Autoencoders. TMA Gastón García González, Pedro Casas, Alicia Fernández
2023	B	`conf`	Dom2Vec - Detecting DGA Domains Through Word Embeddings and AI/ML-Driven Lexicographic Analysis. CNSM Lucas Torrealba Aravena, Pedro Casas, Javier Bustos-Jiménez, Germán Capdehourat, Mislav Findrik
2023	—	`conf`	Fake it till you Detect it: Continual Anomaly Detection in Multivariate Time-Series using Generative AI. EuroS&P Workshops Gastón García González, Pedro Casas, Alicia Fernández
2023	—	`conf`	Not all DGAs are Born the Same - Improving Lexicographic based Detection of DGA Domains through AI/ML. TMA Lucas Torrealba Aravena, Pedro Casas, Javier Bustos-Jiménez, Germán Capdehourat, Mislav Findrik
2023	B	`conf`	Phish Me If You Can - Lexicographic Analysis and Machine Learning for Phishing Websites Detection with PHISHWEB. NetSoft Lucas Torrealba Aravena, Pedro Casas, Javier Bustos-Jiménez, Germán Capdehourat, Mislav Findrik
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	C	`conf`	Should I Sample it or Not? Improving Quality Assurance Efficiency Through Smart Active Sampling. IECON Clemens Heistracher, Pedro Casas, Stefan Stricker, Axel Weißenfeld, Daniel Schall, Jana Kemnitz
2022	—	`conf`	DC-VAE, Fine-grained Anomaly Detection in Multivariate Time-Series with Dilated Convolutions and Variational Auto Encoders. EuroS&P Workshops Gastón García González, Sergio Martinez Tagliafico, Alicia Fernández, Gabriel Gómez, José Acuña, Pedro Casas
2022	—	`conf`	Deep Reinforcement Learning and Graph Neural Networks for Efficient Resource Allocation in 5G Networks. LATINCOM Martín Randall, Pablo Belzarena, Federico Larroca, Pedro Casas
2022	B	`conf`	DeepCrypt - Deep Learning for QoE Monitoring and Fingerprinting of User Actions in Adaptive Video Streaming. NetSoft Pedro Casas, Michael Seufert, Sarah Wassermann, Bruno Gardlo, Nikolas Wehner, Raimund Schatz
2022	—	`conf`	Fingerprinting Web Pages and Smartphone Apps from Encrypted Network Traffic with WebScanner. CloudNet Pedro Casas, Nikolas Wehner, Sarah Wassermann, Michael Seufert
2022	—	`conf`	GROWS: improving decentralized resource allocation in wireless networks through graph neural networks. GNNet@CoNEXT Martín Randall, Pablo Belzarena, Federico Larroca, Pedro Casas
2022	—	`conf`	Not all Web Pages are Born the Same Content Tailored Learning for Web QoE Inference. M&N Pedro Casas, Sarah Wassermann, Nikolas Wehner, Michael Seufert, Tobias Hossfeld
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`	Smart Active Sampling to enhance Quality Assurance Efficiency. CoRR Clemens Heistracher, Stefan Stricker, Pedro Casas, Daniel Schall, Jana Kemnitz
2022	A	`conf`	Steps towards continual learning in multivariate time-series anomaly detection using variational autoencoders. IMC Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez
2022	—	`conf`	X-Ray Goggles for the ISP: Improving in-Network Web and App QoE Monitoring with Deep Learning. TMA Pedro Casas, Sarah Wassermann, Michael Seufert, Nikolas Wehner, Olivia Dinica, Tobias Hossfeld
2021	J	`jnl`	Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis. IEEE Trans. Netw. Serv. Manag. Sarah Wassermann, Thibaut Cuvelier, Pavol Mulinka, Pedro Casas
2021	J	`jnl`	Content Matters: Clustering Web Pages for QoE Analysis With WebCLUST. IEEE Access Luis Roberto Jiménez, Marta Solera Delgado, Matías Toril, Carolina Gijón, Pedro Casas
2021	B	`conf`	How are your Apps Doing? QoE Inference and Analysis in Mobile Devices. CNSM Nikolas Wehner, Michael Seufert, Joshua Schüler, Pedro Casas, Tobias Hoßfeld
2021	J	`jnl`	Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling. SIGMETRICS Perform. Evaluation Rev. Nikolas Wehner, Michael Seufert, Joshua Schuler, Sarah Wassermann, Pedro Casas, Tobias Hossfeld
2021	—	`conf`	Mobile Web and App QoE Monitoring for ISPs - from Encrypted Traffic to Speed Index through Machine Learning. WMNC Pedro Casas, Sarah Wassermann, Nikolas Wehner, Michael Seufert, Joshua Schüler, Tobias Hossfeld
2021	J	`jnl`	On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series. SIGMETRICS Perform. Evaluation Rev. Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez
2021	B	`conf`	Quality that Matters: QoE Monitoring in Education Service Provider (ESP) Networks. IM Nikolas Wehner, Michael Seufert, Viktoria Wieser, Pedro Casas, Germán Capdehourat
2021	—	`conf`	Where is the Light(ning) in the Taproot Dawn? Unveiling the Bitcoin Lightning (IP) Network. CloudNet Pedro Casas, Matteo Romiti, Peter Holzer, Sami Ben Mariem, Benoit Donnet, Bernhard Haslhofer
2020	J	`jnl`	A Survey on Big Data for Network Traffic Monitoring and Analysis. CoRR Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas
2020	B	`conf`	All that Glitters is not Bitcoin - Unveiling the Centralized Nature of the BTC (IP) Network. NOMS Sami Ben Mariem, Pedro Casas, Matteo Romiti, Benoit Donnet, Rainer Stütz, Bernhard Haslhofer
2020	J	`jnl`	All that Glitters is not Bitcoin - Unveiling the Centralized Nature of the BTC (IP) Network. CoRR Sami Ben Mariem, Pedro Casas, Matteo Romiti, Benoit Donnet, Rainer Stütz, Bernhard Haslhofer
2020	B	`conf`	Are you on Mobile or Desktop? On the Impact of End-User Device on Web QoE Inference from Encrypted Traffic. CNSM Sarah Wassermann, Pedro Casas, Zied Ben-Houidi, Alexis Huet, Michael Seufert, Nikolas Wehner, Joshua Schüler, Shengming Cai, Hao Shi, Jinchun Xu, Tobias Hoßfeld, Dario Rossi
2020	J	`jnl`	DeepMAL - Deep Learning Models for Malware Traffic Detection and Classification. CoRR Gonzalo Marín, Pedro Casas, Germán Capdehourat
2020	J	`jnl`	EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. CoRR Andrea Morichetta, Pedro Casas, Marco Mellia
2020	—	`conf`	HUMAN - Hierarchical Clustering for Unsupervised Anomaly Detection & Interpretation. NOF Pavol Mulinka, Pedro Casas, Kensuke Fukuda, Lukas Kencl
2020	—	`conf`	How good is your mobile (web) surfing?: speed index inference from encrypted traffic. SIGCOMM Posters and Demos Sarah Wassermann, Pedro Casas, Michael Seufert, Nikolas Wehner, Joshua Schüler, Tobias Hossfeld
2020	B	`conf`	Mind the (QoE) Gap: On the Incompatibility of Web and Video QoE Models in the Wild. CNSM Michael Seufert, Nikolas Wehner, Viktoria Wieser, Pedro Casas, Germán Capdehourat
2020	—	`conf`	Network anomaly detection with net-GAN, a generative adversarial network for analysis of multivariate time-series. SIGCOMM Posters and Demos Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez
2020	J	`jnl`	On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series. CoRR Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez
2020	—	`conf`	Preface on the 5th International Workshop on Traffic Measurements for Cybersecurity. EuroS&P Workshops Maciej Korczynski, Wojciech Mazurczyk, Pedro Casas
2020	—	`conf`	RAL: reinforcement active learning for network traffic monitoring and analysis. SIGCOMM Posters and Demos Sarah Wassermann, Thibaut Cuvelier, Pedro Casas
2020	A*	`conf`	Scoring High: Analysis and Prediction of Viewer Behavior and Engagement in the Context of 2018 FIFA WC Live Streaming. ACM Multimedia Nikolas Wehner, Michael Seufert, Sebastian Egger-Lampl, Bruno Gardlo, Pedro Casas, Raimund Schatz
2020	B	`conf`	Two Decades of AI4NETS - AI/ML for Data Networks: Challenges & Research Directions. NOMS Pedro Casas
2020	J	`jnl`	Two Decades of AI4NETS-AI/ML for Data Networks: Challenges & Research Directions. CoRR Pedro Casas
2020	J	`jnl`	ViCrypt to the Rescue: Real-Time, Machine-Learning-Driven Video-QoE Monitoring for Encrypted Streaming Traffic. IEEE Trans. Netw. Serv. Manag. Sarah Wassermann, Michael Seufert, Pedro Casas, Li Gang, Kuang Li
2020	—	`conf`	WhatsThat? On the Usage of Hierarchical Clustering for Unsupervised Detection & Interpretation of Network Attacks. EuroS&P Workshops Pavol Mulinka, Kensuke Fukuda, Pedro Casas, Lukas Kencl
2020	J	`jnl`	White Paper on Crowdsourced Network and QoE Measurements - Definitions, Use Cases and Challenges. CoRR Tobias Hoßfeld, Stefan Wunderer, André Beyer, Andrew Hall, Anika Schwind, Christian Gassner, Fabrice Guillemin, Florian Wamser, Krzysztof Wascinski, Matthias Hirth, Michael Seufert, Pedro Casas, Phuoc Tran-Gia, Werner Robitza, Wojciech Wascinski, Zied Ben-Houidi
2019	J	`jnl`	A Fair Share for All: TCP-Inspired Adaptation Logic for QoE Fairness Among Heterogeneous HTTP Adaptive Video Streaming Clients. IEEE Trans. Netw. Serv. Manag. Michael Seufert, Nikolas Wehner, Pedro Casas
2019	J	`jnl`	A Survey on Big Data for Network Traffic Monitoring and Analysis. IEEE Trans. Netw. Serv. Manag. Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas
2019	B	`conf`	ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring. CNSM Sarah Wassermann, Thibaut Cuvelier, Pavol Mulinka, Pedro Casas
2019	J	`jnl`	Considering User Behavior in the Quality of Experience Cycle: Towards Proactive QoE-Aware Traffic Management. IEEE Commun. Lett. Michael Seufert, Sarah Wassermann, Pedro Casas
2019	—	`conf`	Continuous and Adaptive Learning over Big Streaming Data for Network Security. CloudNet Pavol Mulinka, Pedro Casas, Juan Martin Vanerio
2019	—	`conf`	Deep in the Dark - Deep Learning-Based Malware Traffic Detection Without Expert Knowledge. IEEE Symposium on Security and Privacy Workshops Gonzalo Marín, Pedro Casas, Germán Capdehourat
2019	—	`conf`	EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. Big-DAMA@CoNEXT Andrea Morichetta, Pedro Casas, Marco Mellia
2019	—	`conf`	Features that Matter: Feature Selection for On-line Stalling Prediction in Encrypted Video Streaming. INFOCOM Workshops Michael Seufert, Pedro Casas, Nikolas Wehner, Li Gang, Kuang Li
2019	—	`conf`	I See What you See: Real Time Prediction of Video Quality from Encrypted Streaming Traffic. Internet-QoE@MOBICOM Sarah Wassermann, Michael Seufert, Pedro Casas, Li Gang, Kuang Li
2019	A*	`conf`	Internet-QoE 2019: 4th Internet-QoE Workshop on QoE-based Analysis and Management of Data Communication Networks. MobiCom Pedro Casas, Florian Wamser, Fabián E. Bustamante, David R. Choffnes
2019	B	`conf`	Is QUIC becoming the New TCP? On the Potential Impact of a New Protocol on Networked Multimedia QoE. QoMEX Michael Seufert, Raimund Schatz, Nikolas Wehner, Bruno Gardlo, Pedro Casas
2019	—	`conf`	Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video Streaming. TMA Sarah Wassermann, Michael Seufert, Pedro Casas, Li Gang, Kuang Li
2019	—	`conf`	MLSEC - Benchmarking Shallow and Deep Machine Learning Models for Network Security. IEEE Symposium on Security and Privacy Workshops Pedro Casas, Gonzalo Marín, Germán Capdehourat, Maciej Korczynski
2019	—	`conf`	On the Analysis of YouTube QoE in Cellular Networks through in-Smartphone Measurements. WMNC Sarah Wassermann, Pedro Casas, Michael Seufert, Florian Wamser
2019	B	`conf`	Online Detection of Stalling and Scrubbing in Adaptive Video Streaming. WiOpt Lorenzo Maggi, Jérémie Leguay, Michael Seufert, Pedro Casas
2019	—	`ed.`	Proceedings of the 4th Internet-QoE Workshop on QoE-based Analysis and Management of Data Communication Networks, Internet-QoE@MobiCom 2019, Los Cabos, Mexico, October 21, 2019 Internet-QoE@MobiCom Pedro Casas, Florian Wamser, Fabian E. Bustamante, David R. Choffnes
2019	Misc	`conf`	QUICker or not? -an Empirical Analysis of QUIC vs TCP for Video Streaming QoE Provisioning. ICIN Michael Seufert, Raimund Schatz, Nikolas Wehner, Pedro Casas
2019	—	`conf`	Should I (re)Learn or Should I Go(on)?: Stream Machine Learning for Adaptive Defense against Network Attacks. MTD@CCS Pedro Casas, Pavol Mulinka, Juan Martin Vanerio
2019	Misc	`conf`	Stream-based Machine Learning for Real-time QoE Analysis of Encrypted Video Streaming Traffic. ICIN Michael Seufert, Pedro Casas, Nikolas Wehner, Li Gang, Kuang Li
2018	B	`conf`	A Fair Share for All: Novel Adaptation Logic for QoE Fairness of HTTP Adaptive Video Streaming. CNSM Michael Seufert, Nikolas Wehner, Pedro Casas, Florian Wamser
2018	—	`conf`	Adaptive Network Security through Stream Machine Learning. SIGCOMM Posters and Demos Pavol Mulinka, Pedro Casas
2018	—	`conf`	Anycaston the Move: A Look at Mobile Anycast Performance. TMA Sarah Wassermann, John P. Rula, Fabian E. Bustamante, Pedro Casas
2018	—	`conf`	App for Dynamic Crowdsourced QoE Studies of HTTP Adaptive Streaming on Mobile Devices. TMA Michael Seufert, Nikolas Wehner, Pedro Casas
2018	—	`conf`	BIGMOMAL: Big Data Analytics for Mobile Malware Detection. WTMC@SIGCOMM Sarah Wassermann, Pedro Casas
2018	B	`conf`	Beauty is in the Eye of the Smartphone Holder A Data Driven Analysis of YouTube Mobile QoE. CNSM Nikolas Wehner, Sarah Wassermann, Pedro Casas, Michael Seufert, Florian Wamser
2018	J	`jnl`	DeepSec meets RawPower - Deep Learning for Detection of Network Attacks Using Raw Representations. SIGMETRICS Perform. Evaluation Rev. Gonzalo Marín, Pedro Casas, Germán Capdehourat
2018	—	`conf`	Distributed Internet Paths Performance Analysis Through Machine Learning. TMA Sarah Wassermann, Pedro Casas
2018	A	`conf`	Enhancing Machine Learning Based QoE Prediction by Ensemble Models. ICDCS Pedro Casas, Michael Seufert, Nikolas Wehner, Anika Schwind, Florian Wamser
2018	—	`conf`	Evaluating music mastering quality using machine learning. CASCON Mark Shtern, Pedro Casas, Vassilios Tzerpos
2018	—	`conf`	Hi-Clust: Unsupervised Analysis of Cloud Latency Measurements Through Hierarchical Clustering. CloudNet Pavol Mulinka, Pedro Casas, Lukas Kencl
2018	—	`conf`	MLNET - Machine Learning Models for Network Analytics. EDBT/ICDT Workshops Pedro Casas
2018	J	`jnl`	Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones. SIGMETRICS Perform. Evaluation Rev. Sarah Wassermann, Nikolas Wehner, Pedro Casas
2018	—	`conf`	Machine learning models for wireless network monitoring and analysis. WCNC Workshops Pedro Casas
2018	—	`conf`	On the Analysis of Network Measurements Through Machine Learning: The Power of the Crowd. TMA Pedro Casas
2018	—	`ed.`	Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, Big-DAMA@SIGCOMM 2018, Budapest, Hungary, August 20, 2018 Big-DAMA@SIGCOMM Pedro Casas, Marco Mellia, Alberto Dainotti, Tanja Zseby
2018	—	`ed.`	Proceedings of the 2018 Workshop on Traffic Measurements for Cybersecurity, WTMC@SIGCOMM 2018, Budapest, Hungary, August 20, 2018 SIGCOMM Maciej Korczynski, Wojciech Mazurczyk, Pedro Casas
2018	—	`conf`	RawPower: Deep Learning based Anomaly Detection from Raw Network Traffic Measurements. SIGCOMM Posters and Demos Gonzalo Marín, Pedro Casas, Germán Capdehourat
2018	—	`conf`	Stream-based Machine Learning for Network Security and Anomaly Detection. Big-DAMA@SIGCOMM Pavol Mulinka, Pedro Casas
2018	B	`conf`	Streaming Characteristics of Spotify Sessions. QoMEX Anika Schwind, Florian Wamser, Thomas Gensler, Phuoc Tran-Gia, Michael Seufert, Pedro Casas
2018	A	`conf`	Studying the Impact of HAS QoE Factors on the Standardized QoE Model P.1203. ICDCS Michael Seufert, Nikolas Wehner, Pedro Casas
2018	—	`conf`	You Tube QoE Monitoring with YoMoApp: A Web-Based Data Interface for Researchers. TMA Florian Wamser, Nikolas Wehner, Michael Seufert, Pedro Casas, Phuoc Tran-Gia
2017	—	`conf`	Concept and implementation of video QoE measurements in a mobile broadband testbed. TMA Anika Schwind, Michael Seufert, Ozgu Alay, Pedro Casas, Phuoc Tran-Gia, Florian Wamser
2017	—	`conf`	Ensemble-learning Approaches for Network Security and Anomaly Detection. Big-DAMA@SIGCOMM Juan Martin Vanerio, Pedro Casas
2017	B	`conf`	GML learning, a generic machine learning model for network measurements analysis. CNSM Pedro Casas, Juan Martin Vanerio, Kensuke Fukuda
2017	—	`conf`	Improving QoE prediction in mobile video through machine learning. NOF Pedro Casas, Sarah Wassermann
2017	—	`conf`	NETPerfTrace: Predicting Internet Path Dynamics and Performance with Machine Learning. Big-DAMA@SIGCOMM Sarah Wassermann, Pedro Casas, Thibaut Cuvelier, Benoit Donnet
2017	—	`conf`	Network security and anomaly detection with Big-DAMA, a big data analytics framework. CloudNet Pedro Casas, Francesca Soro, Juan Martin Vanerio, Giuseppe Settanni, Alessandro D'Alconzo
2017	B	`conf`	Predicting QoE in cellular networks using machine learning and in-smartphone measurements. QoMEX Pedro Casas, Alessandro D'Alconzo, Florian Wamser, Michael Seufert, Bruno Gardlo, Anika Schwind, Phuoc Tran-Gia, Raimund Schatz
2017	—	`ed.`	Proceedings of the 2017 Workshop on QoE-based Analysis and Management of Data Communication Networks, Internet-QoE@SIGCOMM 2017, Los Angeles, CA, USA, August 21, 2017 Internet-QoE@SIGCOMM Pedro Casas, Florian Wamser, Fabián E. Bustamante, David R. Choffnes
2017	B	`conf`	Super learning for anomaly detection in cellular networks. WiMob Pedro Casas, Juan Martin Vanerio
2017	B	`conf`	Unsupervised QoE field study for mobile YouTube video streaming with YoMoApp. QoMEX Michael Seufert, Nikolas Wehner, Florian Wamser, Pedro Casas, Alessandro D'Alconzo, Phuoc Tran-Gia
2016	—	`conf`	An Educated Guess on QoE in Operational Networks through Large-Scale Measurements. Internet-QoE@SIGCOMM Pedro Casas, Bruno Gardlo, Raimund Schatz, Marco Mellia
2016	—	`conf`	Big-DAMA: Big Data Analytics for Network Traffic Monitoring and Analysis. LANCOMM@SIGCOMM Pedro Casas, Alessandro D'Alconzo, Tanja Zseby, Marco Mellia
2016	J	`jnl`	DBStream: A holistic approach to large-scale network traffic monitoring and analysis. Comput. Networks Arian Bär, Pedro Casas, Alessandro D'Alconzo, Pierdomenico Fiadino, Lukasz Golab, Marco Mellia, Erich Schikuta
2016	B	`conf`	Detecting and diagnosing anomalies in cellular networks using Random Neural Networks. IWCMC Pedro Casas, Alessandro D'Alconzo, Pierdomenico Fiadino, Christian Callegari
2016	J	`jnl`	Grasping Popular Applications in Cellular Networks With Big Data Analytics Platforms. IEEE Trans. Netw. Serv. Manag. Pierdomenico Fiadino, Pedro Casas, Alessandro D'Alconzo, Mirko Schiavone, Arian Bär
2016	—	`conf`	Looking for Network Latency Clusters in the LAC Region. LANCOMM@SIGCOMM Agustin Formoso, Pedro Casas
2016	—	`conf`	Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks. TMA Pedro Casas, Pierdomenico Fiadino, Alessandro D'Alconzo
2016	J	`jnl`	Modeling the YouTube stack: From packets to quality of experience. Comput. Networks Florian Wamser, Pedro Casas, Michael Seufert, Christian Moldovan, Phuoc Tran-Gia, Tobias Hoßfeld
2016	J	`jnl`	Next to You: Monitoring Quality of Experience in Cellular Networks From the End-Devices. IEEE Trans. Netw. Serv. Manag. Pedro Casas, Michael Seufert, Florian Wamser, Bruno Gardlo, Andreas Sackl, Raimund Schatz
2016	—	`conf`	On the Analysis of Internet Paths with DisNETPerf, a Distributed Paths Performance Analyzer. LCN Workshops Sarah Wassermann, Pedro Casas, Benoit Donnet, Guy Leduc, Marco Mellia
2016	A*	`conf`	POSTER: (Semi)-Supervised Machine Learning Approaches for Network Security in High-Dimensional Network Data. CCS Pedro Casas, Alessandro D'Alconzo, Giuseppe Settanni, Pierdomenico Fiadino, Florian Skopik
2016	—	`ed.`	Proceedings of the 2016 workshop on Fostering Latin-American Research in Data Communication Networks, LANCOMM@SIGCOMM 2016, Florianopolis, Brazil, August 22-26, 2016 LANCOMM@SIGCOMM Pedro Casas, Rosa M. M. Leão, Fernando Paganini, J. Ignacio Alvarez-Hamelin, Javier Bustos-Jiménez
2016	—	`ed.`	Proceedings of the 2016 workshop on QoE-based Analysis and Management of Data Communication Networks, Internet-QoE@SIGCOMM 2016, Florianopolis, Brazil, August 22-26, 2016 Internet-QoE@SIGCOMM Pedro Casas, Fabián E. Bustamante, Martín Varela, David R. Choffnes
2016	—	`conf`	The Beauty of Consistency in Radio-Scheduling Decisions. GLOBECOM Workshops Eirini Liotou, Raimund Schatz, Andreas Sackl, Pedro Casas, Dimitris Tsolkas, Nikos I. Passas, Lazaros F. Merakos
2016	J	`jnl`	Unveiling network and service performance degradation in the wild with mplane. IEEE Commun. Mag. Pedro Casas, Pierdomenico Fiadino, Sarah Wassermann, Stefano Traverso, Alessandro D'Alconzo, Edion Tego, Francesco Matera, Marco Mellia
2016	—	`conf`	WhatsApp Calling: a Revised Analysis on WhatsApp's Architecture and Calling Service. LANCOMM@SIGCOMM Juan Martin Vanerio, Pedro Casas
2016	—	`conf`	When smartphones become the enemy: unveiling mobile apps anomalies through clustering techniques. ATC@MobiCom Pedro Casas, Pierdomenico Fiadino, Alessandro D'Alconzo
2015	A*	`conf`	Cache-oblivious scheduling of shared workloads. ICDE Arian Bär, Lukasz Golab, Stefan Ruehrup, Mirko Schiavone, Pedro Casas
2015	A*	`conf`	Challenging Entropy-based Anomaly Detection and Diagnosis in Cellular Networks. SIGCOMM Pierdomenico Fiadino, Alessandro D'Alconzo, Mirko Schiavone, Pedro Casas
2015	—	`conf`	Demo: On the Monitoring of YouTube QoE in Cellular Networks from End-devices. S3@MobiCom Michael Seufert, Florian Wamser, Pedro Casas, Ralf Irmer, Phuoc Tran-Gia, Raimund Schatz
2015	—	`conf`	Exploring QoE in Cellular Networks: How Much Bandwidth do you Need for Popular Smartphone Apps? AllThingsCellular@SIGCOMM Pedro Casas, Raimund Schatz, Florian Wamser, Michael Seufert, Ralf Irmer
2015	J	`jnl`	Hunting attacks in the dark: clustering and correlation analysis for unsupervised anomaly detection. Int. J. Netw. Manag. Johan Mazel, Pedro Casas, Romain Fontugne, Kensuke Fukuda, Philippe Owezarski
2015	—	`conf`	MTRAC - discovering M2M devices in cellular networks from coarse-grained measurements. ICC Arian Bär, Philipp Svoboda, Pedro Casas
2015	B	`conf`	On the analysis of QoE in cellular networks: From subjective tests to large-scale traffic measurements. IWCMC Pedro Casas, Martín Varela, Pierdomenico Fiadino, Mirko Schiavone, Helena Rivas, Raimund Schatz
2015	—	`conf`	On the quest for new KPIs in mobile networks: The impact of throughput fluctuations on QoE. ICC Workshops Pedro Casas, Andreas Sackl, Raimund Schatz, Lucjan Janowski, John Turk, Ralf Irmer
2015	B	`conf`	Online Social Networks anatomy: On the analysis of Facebook and WhatsApp in cellular networks. Networking Pierdomenico Fiadino, Pedro Casas, Mirko Schiavone, Alessandro D'Alconzo
2015	A*	`conf`	Poster: Understanding YouTube QoE in Cellular Networks with YoMoApp: A QoE Monitoring Tool for YouTube Mobile. MobiCom Florian Wamser, Michael Seufert, Pedro Casas, Ralf Irmer, Phuoc Tran-Gia, Raimund Schatz
2015	—	`conf`	QoMOSN - On the analysis of traffic and Quality of Experience in Mobile Online Social Networks. EuCNC Pedro Casas, Pierdomenico Fiadino, Mirko Schiavone
2015	B	`conf`	Quantifying the impact of network bandwidth fluctuations and outages on Web QoE. QoMEX Andreas Sackl, Pedro Casas, Raimund Schatz, Lucjan Janowski, Ralf Irmer
2015	A	`conf`	RCATool - A Framework for Detecting and Diagnosing Anomalies in Cellular Networks. ITC Pierdomenico Fiadino, Alessandro D'Alconzo, Mirko Schiavone, Pedro Casas
2015	B	`conf`	Taming QoE in cellular networks: From subjective lab studies to measurements in the field. CNSM Pedro Casas, Bruno Gardlo, Michael Seufert, Florian Wamser, Raimund Schatz
2015	B	`conf`	Towards automatic detection and diagnosis of Internet service anomalies via DNS traffic analysis. IWCMC Pierdomenico Fiadino, Alessandro D'Alconzo, Mirko Schiavone, Pedro Casas
2015	—	`conf`	Vivisecting WhatsApp in Cellular Networks: Servers, Flows, and Quality of Experience. TMA Pierdomenico Fiadino, Mirko Schiavone, Pedro Casas
2015	—	`conf`	YoMoApp: A tool for analyzing QoE of YouTube HTTP adaptive streaming in mobile networks. EuCNC Florian Wamser, Michael Seufert, Pedro Casas, Ralf Irmer, Phuoc Tran-Gia, Raimund Schatz
2015	B	`conf`	YouTube QoE on mobile devices: Subjective analysis of classical vs. adaptive video streaming. IWCMC Michael Seufert, Florian Wamser, Pedro Casas, Ralf Irmer, Phuoc Tran-Gia, Raimund Schatz
2014	—	`conf`	Characterizing Microsoft Lync Online in mobile networks: a Quality of Experience perspective. CloudNet Pedro Casas, Andreas Sackl, Sebastian Egger, Raimund Schatz
2014	B	`conf`	Characterizing web services provisioning via CDNs: The case of Facebook. IWCMC Pierdomenico Fiadino, Alessandro D'Alconzo, Pedro Casas
2014	B	`conf`	Coping with 0-day attacks through Unsupervised Network Intrusion Detection. IWCMC Pedro Casas, Johan Mazel, Philippe Owezarski
2014	B	`conf`	DBStream: An online aggregation, filtering and processing system for network traffic monitoring. IWCMC Arian Bär, Pedro Casas, Lukasz Golab, Alessandro Finamore
2014	—	`conf`	Diagnosing Device-Specific Anomalies in Cellular Networks. CoNEXT Student Workshop Mirko Schiavone, Peter Romirer-Maierhofer, Pierdomenico Fiadino, Pedro Casas
2014	—	`conf`	Large-scale network traffic monitoring with DBStream, a system for rolling big data analysis. IEEE BigData Arian Bär, Alessandro Finamore, Pedro Casas, Lukasz Golab, Marco Mellia
2014	B	`conf`	On the analysis of QoE-based performance degradation in YouTube traffic. CNSM Pedro Casas, Alessandro D'Alconzo, Pierdomenico Fiadino, Arian Bär, Alessandro Finamore
2014	A	`conf`	On the detection of network traffic anomalies in content delivery network services. ITC Pierdomenico Fiadino, Alessandro D'Alconzo, Arian Bär, Alessandro Finamore, Pedro Casas
2014	J	`jnl`	Quality of Experience in Cloud services: Survey and measurements. Comput. Networks Pedro Casas, Raimund Schatz
2014	B	`conf`	Understanding HTTP Traffic and CDN Behavior from the Eyes of a Mobile ISP. PAM Pedro Casas, Pierdomenico Fiadino, Arian Bär
2014	A*	`conf`	Vivisecting whatsapp through large-scale measurements in mobile networks. SIGCOMM Pierdomenico Fiadino, Mirko Schiavone, Pedro Casas
2014	J	`jnl`	When YouTube Does not Work - Analysis of QoE-Relevant Degradation in Google CDN Traffic. IEEE Trans. Netw. Serv. Manag. Pedro Casas, Alessandro D'Alconzo, Pierdomenico Fiadino, Arian Bär, Alessandro Finamore, Tanja Zseby
2014	B	`conf`	Who to blame when YouTube is not working? detecting anomalies in CDN-provisioned services. IWCMC Alessandro D'Alconzo, Pedro Casas, Pierdomenico Fiadino, Arian Bär, Alessandro Finamore
2014	—	`conf`	YouTube all around: Characterizing YouTube from mobile and fixed-line network vantage points. EuCNC Pedro Casas, Pierdomenico Fiadino, Arian Bär, Alessandro D'Alconzo, Alessandro Finamore, Marco Mellia
2014	—	`conf`	YouTube in the move: Understanding the performance of YouTube in cellular networks. Wireless Days Pedro Casas, Pierdomenico Fiadino, Andreas Sackl, Alessandro D'Alconzo
2014	J	`jnl`	mPlane: an intelligent measurement plane for the internet. IEEE Commun. Mag. Brian Trammell, Pedro Casas, Dario Rossi, Arian Bär, Zied Ben-Houidi, Ilias Leontiadis, Tivadar Szemethy, Marco Mellia
2013	—	`conf`	A first look at quality of experience in Personal Cloud Storage services. ICC Workshops Pedro Casas, Hans Ronald Fischer, Stefan Suette, Raimund Schatz
2013	A	`conf`	IP mining: Extracting knowledge from the dynamics of the Internet addressing space. ITC Pedro Casas, Pierdomenico Fiadino, Arian Bär
2013	B	`conf`	Mini-IPC: A minimalist approach for HTTP traffic classification using IP addresses. IWCMC Pedro Casas, Pierdomenico Fiadino
2013	B	`conf`	Monitoring YouTube QoE: Is Your Mobile Network Delivering the Right Experience to your Customers? WCNC Pedro Casas, Raimund Schatz, Tobias Hoßfeld
2013	B	`conf`	Quality of experience in remote virtual desktop services. IM Pedro Casas, Michael Seufert, Sebastian Egger, Raimund Schatz
2013	J	`jnl`	YOUQMON: a system for on-line monitoring of YouTube QoE in operational 3G networks. SIGMETRICS Perform. Evaluation Rev. Pedro Casas, Michael Seufert, Raimund Schatz
2012	J	`jnl`	Knowledge-independent traffic monitoring: Unsupervised detection of network attacks. IEEE Netw. Pedro Casas, Johan Mazel, Philippe Owezarski
2012	—	`conf`	Passive YouTube QoE Monitoring for ISPs. IMIS Raimund Schatz, Tobias Hoßfeld, Pedro Casas
2012	J	`jnl`	Taming traffic dynamics: Analysis and improvements. Comput. Commun. Pedro Casas, Federico Larroca, Jean-Louis Rougier, Sandrine Vaton
2012	J	`jnl`	Unsupervised Network Intrusion Detection Systems: Detecting the Unknown without Knowledge. Comput. Commun. Pedro Casas, Johan Mazel, Philippe Owezarski
2012	—	`conf`	YouTube & Facebook Quality of Experience in mobile broadband networks. GLOBECOM Workshops Pedro Casas, Andreas Sackl, Sebastian Egger, Raimund Schatz
2011	A	`conf`	MINETRAC: Mining flows for unsupervised analysis & semi-supervised classification. ITC Pedro Casas, Johan Mazel, Philippe Owezarski
2011	B	`conf`	On the use of Sub-Space Clustering & Evidence Accumulation for traffic analysis & classification. IWCMC Pedro Casas, Johan Mazel, Philippe Owezarski
2011	J	`jnl`	Reactive Robust Routing: Anomaly Localization and Routing Reconfiguration for Dynamic Networks. J. Netw. Syst. Manag. Pedro Casas, Lionel Fillatre, Sandrine Vaton, Igor V. Nikiforov
2011	—	`conf`	Steps Towards Autonomous Network Security: Unsupervised Detection of Network Attacks. NTMS Pedro Casas, Johan Mazel, Philippe Owezarski
2011	—	`conf`	Sub-Space Clustering and Evidence Accumulation for Unsupervised Network Anomaly Detection. TMA Johan Mazel, Pedro Casas, Philippe Owezarski
2011	B	`conf`	Sub-Space clustering, Inter-Clustering Results Association & anomaly correlation for unsupervised network anomaly detection. CNSM Johan Mazel, Pedro Casas, Yann Labit, Philippe Owezarski
2011	B	`conf`	UNADA: Unsupervised Network Anomaly Detection Using Sub-space Outliers Ranking. Networking (1) Pedro Casas, Johan Mazel, Philippe Owezarski
2010	J	`jnl`	End-to-end quality of service-based admission control using the fictitious network analysis. Comput. Commun. Pablo Belzarena, Paola Bermolen, Pedro Casas, María Simon
2010	B	`conf`	On the use of random neural networks for traffic matrix estimation in large-scale IP networks. IWCMC Pedro Casas, Sandrine Vaton
2010	J	`jnl`	Optimal volume anomaly detection and isolation in large-scale IP networks using coarse-grained measurements. Comput. Networks Pedro Casas, Sandrine Vaton, Lionel Fillatre, Igor V. Nikiforov
2009	A	`conf`	Efficient methods for traffic matrix modeling and on-line estimation in large-scale IP networks. ITC Pedro Casas, Sandrine Vaton, Lionel Fillatre, Thierry Chonavel
2009	—	`conf`	Robust Routing Mechanisms for Intradomain Traffic Engineering in Dynamic Networks. LANOMS Pedro Casas, Federico Larroca, Sandrine Vaton
2009	—	`conf`	Robust routing vs dynamic load-balancing a comprehensive study and new directions. DRCN Pedro Casas, Federico Larroca, Jean-Louis Rougier, Sandrine Vaton
2008	—	`conf`	Multi Hour Robust Routing and Fast Load Change Detection for Traffic Engineering. ICC Pedro Casas, Lionel Fillatre, Sandrine Vaton
2008	—	`conf`	Optimal volume anomaly detection in network traffic flows. EUSIPCO Lionel Fillatre, Igor V. Nikiforov, Pedro Casas, Sandrine Vaton
2008	—	`conf`	Volume Anomaly Detection in Data Networks: An Optimal Detection Algorithm vs. the PCA Approach. FITraMEn Pedro Casas, Lionel Fillatre, Sandrine Vaton, Igor V. Nikiforov
2007	—	`conf`	A user perspective for end-to-end quality of service evaluation in multimedia networks. LANC Pedro Casas, Pablo Belzarena, Ignacio Irigaray, Diego Guerra