引用次数
引用: 4,455
H-指数: 37
I10-指数 : 99
出版物: 237
Efficient methods for traffic matrix modeling and on-line estimation in large-scale IP networks
Lionel Fillatre , Pedro Casas , Lhierry Chonavel , Sandrine Vaton
international teletraffic congress 1 -8
21
2009
Quality of experience in remote virtual desktop services
Sebastian Egger , Raimund Schatz , Michael Seufert , Pedro Casas
integrated network management 1352 -1357
32
2013
Cross-check of Analysis Modules and Reasoner Interactions
L. Baltrunas , P. Michiardi , S. Nikitaki , D. Cicalese
1
2015
Design of Analysis Modules
L. Baltrunas , T. Szemethy , E. Tego , Guy Leduc
2013
Optimal volume anomaly detection in network traffic flows
Lionel Fillatre , Pedro Casas , Sandrine Vaton , Igor Nikiforov
european signal processing conference 1 -5
3
2008
Sub-space clustering, inter-clustering results association & anomaly correlation for unsupervised network anomaly detection
Philippe Owezarski , Pedro Casas , Johan Mazel , Yann Labit
conference on network and service management 73 -80
27
2011
Détection non supervisée d'anomalies du trafic
Philippe Owezarski , Pedro Casas , Johan Mazel , Yann Labit
CFIP 2011 - Colloque Francophone sur l Ingénierie des Protocoles
2011
On the Monitoring of YouTube QoE in Cellular Networks from End-devices
Florian Wamser , Phuoc Tran-Gia , Ralf Irmer , Raimund Schatz
Seventh ACM S3 Workshop
2015
Análisis estadístico del tráfico de red para la detección de anomalías y la calidad del servicio
Pedro Casas
2013
A Fair Share for All: Novel Adaptation Logic for QoE Fairness of HTTP Adaptive Video Streaming
Florian Wamser , Michael Seufert , Pedro Casas , Nikolas Wehner
conference on network and service management 19 -27
2
2018
Beauty is in the Eye of the Smartphone Holder A Data Driven Analysis of YouTube Mobile QoE
Florian Wamser , Michael Seufert , Pedro Casas , Sarah Wassermann
conference on network and service management 343 -347
4
2018
Remember the Good, Forget the Bad, do it Fast - Continuous Learning over Streaming Data
Pedro Casas , Sarah Wassermann , Gonzalo Marín , Pavol Mulinka
Continual Learning Workshop at NeurIPS 2018
1
2018
SIGCOMM '17 ACM SIGCOMM 2017 Conference
Florian Wamser , Fabian E Bustamante , Pedro Casas , David Chones
ACM
2017
Decrypting Video Quality from Encrypted Streaming Traffic
Pedro Casas , Sarah Wassermann
Women in Machine Learning (WiML) Workshop 2019
2019
Improving Stream-Based Active Learning with Reinforcement Learning
Pedro Casas , Sarah Wassermann , Thibaut Cuvelier
Women in Machine Learning (WiML) Workshop 2019
2019
A Survey on Big Data for Network Traffic Monitoring and Analysis
Marco Mellia , Idilio Drago , Pedro Casas , Andrea Morichetta
arXiv: Distributed, Parallel, and Cluster Computing
97
2020
RAL - Improving Stream-Based Active Learning by Reinforcement Learning
Pedro Casas , Sarah Wassermann , Thibaut Cuvelier
european conference on machine learning
10
2019
How Good is your Mobile (Web) Surfing? Speed Index Inference from Encrypted Traffic
Tobias Hossfeld , Michael Seufert , Pedro Casas , Sarah Wassermann
acm special interest group on data communication
2020
RAL - Reinforcement Active Learning for Network Traffic Monitoring and Analysis
Pedro Casas , Sarah Wassermann , Thibaut Cuvelier
acm special interest group on data communication
2020
ViCrypt: Real-time, Fine-grained Prediction of Video Quality from Encrypted Streaming Traffic
Michael Seufert , Pedro Casas , Sarah Wassermann , Li Gang
internet measurement conference
2019