| The challenge of non-technical loss detection using artificial intelligence: A survey P Glauner, JA Meira, P Valtchev, R State, F Bettinger arXiv preprint arXiv:1606.00626, 2016 | 95 | 2016 |
| Large-scale detection of non-technical losses in imbalanced data sets P Glauner, A Boechat, L Dolberg, R State, F Bettinger, Y Rangoni, ... 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2016 | 34 | 2016 |
| Network security through software defined networking: a survey J François, L Dolberg, O Festor, T Engel Proceedings of the conference on principles, systems and applications of IP …, 2014 | 31 | 2014 |
| Distilling provider-independent data for general detection of non-technical losses JA Meira, P Glauner, R State, P Valtchev, L Dolberg, F Bettinger, D Duarte 2017 IEEE Power and Energy Conference at Illinois (PECI), 1-5, 2017 | 18 | 2017 |
| Neighborhood features help detecting non-technical losses in big data sets P Glauner, JA Meira, L Dolberg, R State, F Bettinger, Y Rangoni Proceedings of the 3rd IEEE/ACM International Conference on Big Data …, 2016 | 15 | 2016 |
| Efficient multidimensional aggregation for large scale monitoring L Dolberg, J François, T Engel Presented as part of the 26th Large Installation System Administration …, 2012 | 14 | 2012 |
| State, R.; Bettinger, F.; Rangoni, Y.; Duarte, D. Large-scale detection of non-technical losses in imbalanced data sets PO Glauner, A Boechat, L Dolberg Proceedings of the IEEE Power & Energy Society Innovative Smart Grid …, 2016 | 8 | 2016 |
| A generic framework to support application-level flow management in software-defined networks L Dolberg, J François, SR Chowdhury, R Ahmed, R Boutaba, T Engel 2016 IEEE NetSoft Conference and Workshops (NetSoft), 121-125, 2016 | 6 | 2016 |
| Multi-dimensional aggregation for DNS monitoring L Dolberg, J François, T Engel 38th Annual IEEE Conference on Local Computer Networks, 390-398, 2013 | 6 | 2013 |
| State, R.; Bettinger, F.; Rangoni, Y. Neighborhood features help detecting non-technical losses in big data sets P Glauner, JA Meira, L Dolberg Proceedings of the 3rd IEEE/ACM International Conference on Big Data …, 2016 | 5 | 2016 |
| R. State, F. Bettinger, Y. Rangoni, and D. Duarte. The challenge of non-technical loss detection using artificial intelligence: A survey P Glauner, A Boechat, L Dolberg, J Meira arXiv preprint arXiv 1606, 2016 | 5 | 2016 |
| Tracking spoofed locations in crowdsourced vehicular applications L Dolberg, J François, T Engel 2014 IEEE Network Operations and Management Symposium (NOMS), 1-9, 2014 | 5 | 2014 |
| R. State, F. Bettinger, Y. Rangoni, and D. Duarte,“Neighborhood features help detecting electricity theft in big data sets,” P Glauner, J Meira, L Dolberg Proceedings of the 3rd IEEE/ACM International Conference on Big Data …, 2016 | 4 | 2016 |
| RAMSES: Revealing Android malware through string extraction and selection L Dolberg, Q Jérôme, J François, T Engel International Conference on Security and Privacy in Communication Networks …, 2014 | 2 | 2014 |
| Network Configuration and Flow Scheduling for Big Data Applications L Dolberg, J François, S Rahman, RA Chowdhury, R Boutaba, T Engel | | 2016 |
| Network Management with Data Analytics L Dolberg | | 2015 |
| Assessing Artificially Caused Congestion on Urban Scenarios: A Case Study on Luxembourg Sumo Traffic L Dolberg, J François, T Engel Ulmer Informatik-Berichte, 34, 2015 | | 2015 |
| Multidimensional Aggregation for DNS monitoring J François, L Dolberg, T Engel | | |
| Orchestrating Science DMZs for Big Data Acceleration: Challenges and Approaches S Debroy, P Calyam, M Dickinson | | |
| Monitoring Large Scale Networks using Tree Based Multidimensional Aggregation L Dolberg, J François, T Engel | | |
