| 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 | 195 | 2016 |
| 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 | 37 | 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 | 32* | 2016 |
| Generic cloud platform multi-objective optimization leveraging models@ run. time D El Kateb, F Fouquet, G Nain, JA Meira, M Ackerman, Y Le Traon Proceedings of the 29th Annual ACM Symposium on Applied Computing, 343-350, 2014 | 17 | 2014 |
| Is big data sufficient for a reliable detection of non-technical losses? P Glauner, A Migliosi, JA Meira, P Valtchev, R State, F Bettinger 2017 19th International Conference on Intelligent System Application to …, 2017 | 16 | 2017 |
| Under pressure benchmark for ddbms availability AG Fior, JA Meira, EC de Almeida, RG Coelho, MD Del Fabro, Y Le Traon Journal of Information and Data Management 4 (3), 266-266, 2013 | 13 | 2013 |
| Peer-to-peer load testing JA Meira, EC de Almeida, Y Le Traon, G Sunye 2012 IEEE Fifth International Conference on Software Testing, Verification …, 2012 | 13 | 2012 |
| An image processing tool to support gestational age determination L Silva, ORP Bellon, RP Lemes, JA Meira, MNL Cat 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 867-874, 2006 | 12 | 2006 |
| An elastic multi-core allocation mechanism for database systems S Dominico, EC de Almeida, JA Meira, MAZ Alves 2018 IEEE 34th International Conference on Data Engineering (ICDE), 473-484, 2018 | 10 | 2018 |
| A recommendation system for car insurance L Lesage, M Deaconu, A Lejay, JA Meira, G Nichil European Actuarial Journal 10 (2), 377-398, 2020 | 9 | 2020 |
| Identifying irregular power usage by turning predictions into holographic spatial visualizations P Glauner, N Dahringer, O Puhachov, JA Meira, P Valtchev, R State, ... 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 258-265, 2017 | 9 | 2017 |
| Stress testing of transactional database systems JA Meira, EC de Almeida, G Sunyé, Y Le Traon, P Valduriez Journal of information and Data Management 4 (3), 2013 | 9 | 2013 |
| A state machine for database non-functional testing JA Meira, EC de Almeida, Y Le Traon Proceedings of the 18th International Database Engineering & Applications …, 2014 | 5 | 2014 |
| Using augmented reality and machine learning in radiology L Trestioreanu, P Glauner, JA Meira, M Gindt Innovative technologies for market leadership, 89-106, 2020 | 4 | 2020 |
| Mind your dependencies for semantic query optimization E Pena, EHM Pena, E Falk, JA Meira, EC de Almeida Journal of Information and Data Management 9 (1), 3-3, 2018 | 4 | 2018 |
| The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study P Glauner, M Du, V Paraschiv, A Boytsov, IL Andrade, J Meira, P Valtchev, ... arXiv preprint arXiv:1703.10121, 2017 | 4 | 2017 |
| A petrinet mechanism for OLAP in NUMA S Dominico, EC de Almeida, JA Meira Proceedings of the 13th International Workshop on Data Management on New …, 2017 | 3 | 2017 |
| “Overloaded!”—A Model-based Approach to Database Stress Testing JA Meira, EC Almeida, D Kim, YL Traon International Conference on Database and Expert Systems Applications, 207-222, 2016 | 3 | 2016 |
| Machine learning for data-driven smart grid applications P Glauner, JA Meira | 2 | 2018 |
| Model-based stress testing for database systems JA Meira University of Luxembourg, Luxembourg, 2014 | 2 | 2014 |
Patrick GLAUNERProfessor of Artificial Intelligence, Deggendorf Institute of TechnologyBestätigte E-Mail-Adresse bei glauner.info
