Lautaro Dolberg
Lautaro Dolberg
Research Associate, University of Luxembourg
E-mail confirmado em uni.lu
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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
952016
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
342016
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
312014
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
182017
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
152016
Efficient multidimensional aggregation for large scale monitoring
L Dolberg, J François, T Engel
Presented as part of the 26th Large Installation System Administration …, 2012
142012
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
82016
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
62016
Multi-dimensional aggregation for DNS monitoring
L Dolberg, J François, T Engel
38th Annual IEEE Conference on Local Computer Networks, 390-398, 2013
62013
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
52016
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
52016
Tracking spoofed locations in crowdsourced vehicular applications
L Dolberg, J François, T Engel
2014 IEEE Network Operations and Management Symposium (NOMS), 1-9, 2014
52014
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
42016
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
22014
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
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