| Unsupervised network intrusion detection systems: Detecting the unknown without knowledge P Casas, J Mazel, P Owezarski Computer Communications 35 (7), 772-783, 2012 | 333 | 2012 |
| A survey on big data for network traffic monitoring and analysis A D’Alconzo, I Drago, A Morichetta, M Mellia, P Casas IEEE Transactions on Network and Service Management 16 (3), 800-813, 2019 | 151 | 2019 |
| YoMoApp: A tool for analyzing QoE of YouTube HTTP adaptive streaming in mobile networks F Wamser, M Seufert, P Casas, R Irmer, P Tran-Gia, R Schatz 2015 European Conference on Networks and Communications (EuCNC), 239-243, 2015 | 137 | 2015 |
| YOUQMON: A system for on-line monitoring of YouTube QoE in operational 3G networks P Casas, M Seufert, R Schatz ACM SIGMETRICS Performance Evaluation Review 41 (2), 44-46, 2013 | 132 | 2013 |
| Quality of experience in cloud services: Survey and measurements P Casas, R Schatz Computer Networks 68, 149-165, 2014 | 126 | 2014 |
| Ensemble-learning approaches for network security and anomaly detection J Vanerio, P Casas Proceedings of the workshop on big data analytics and machine learning for …, 2017 | 120 | 2017 |
| Passive youtube QoE monitoring for ISPs R Schatz, T Hoßfeld, P Casas 2012 Sixth International Conference on Innovative Mobile and Internet …, 2012 | 115 | 2012 |
| Predicting QoE in cellular networks using machine learning and in-smartphone measurements P Casas, A D'Alconzo, F Wamser, M Seufert, B Gardlo, A Schwind, ... 2017 Ninth International Conference on Quality of Multimedia Experience …, 2017 | 112 | 2017 |
| Next to you: Monitoring quality of experience in cellular networks from the end-devices P Casas, M Seufert, F Wamser, B Gardlo, A Sackl, R Schatz IEEE Transactions on Network and Service Management 13 (2), 181-196, 2016 | 95 | 2016 |
| Modeling the YouTube stack: From packets to quality of experience F Wamser, P Casas, M Seufert, C Moldovan, P Tran-Gia, T Hossfeld Computer Networks 109, 211-224, 2016 | 90 | 2016 |
| When YouTube does not work—Analysis of QoE-relevant degradation in Google CDN traffic P Casas, A D'Alconzo, P Fiadino, A Bär, A Finamore, T Zseby IEEE Transactions on Network and Service Management 11 (4), 441-457, 2014 | 88 | 2014 |
| Deepmal-deep learning models for malware traffic detection and classification G Marín, P Caasas, G Capdehourat Data science–analytics and applications: proceedings of the 3rd …, 2021 | 84 | 2021 |
| Large-scale network traffic monitoring with DBStream, a system for rolling big data analysis A Bär, A Finamore, P Casas, L Golab, M Mellia 2014 IEEE International Conference on Big Data (Big Data), 165-170, 2014 | 77 | 2014 |
| EXPLAIN-IT: Towards explainable AI for unsupervised network traffic analysis A Morichetta, P Casas, M Mellia Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and …, 2019 | 75 | 2019 |
| Stream-based machine learning for real-time QoE analysis of encrypted video streaming traffic M Seufert, P Casas, N Wehner, L Gang, K Li 2019 22nd Conference on innovation in clouds, internet and networks and …, 2019 | 66 | 2019 |
| Unada: Unsupervised network anomaly detection using sub-space outliers ranking P Casas, J Mazel, P Owezarski NETWORKING 2011: 10th International IFIP TC 6 Networking Conference …, 2011 | 63 | 2011 |
| YouTube & Facebook Quality of Experience in mobile broadband networks P Casas, A Sackl, S Egger, R Schatz 2012 IEEE Globecom Workshops, 1269-1274, 2012 | 62 | 2012 |
| Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks. P Casas, P Fiadino, A D'Alconzo TMA, 1-8, 2016 | 60 | 2016 |
| Quality of experience in remote virtual desktop services P Casas, M Seufert, S Egger, R Schatz 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM …, 2013 | 59 | 2013 |
| Stream-based machine learning for network security and anomaly detection P Mulinka, P Casas Proceedings of the 2018 workshop on big data analytics and machine learning …, 2018 | 57 | 2018 |
