Jorge Augusto Meira
Cited by
Cited by
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
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
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
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
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
A recommendation system for car insurance
L Lesage, M Deaconu, A Lejay, JA Meira, G Nichil, R State
European Actuarial Journal 10, 377-398, 2020
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
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
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
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
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
Stress testing of transactional database systems
JA Meira, EC de Almeida, G Sunyé, P Valduriez
Journal of information and Data Management 4 (3), 279-294, 2013
Hawkes processes framework with a Gamma density as excitation function: application to natural disasters for insurance
L Lesage, M Deaconu, A Lejay, JA Meira, G Nichil, R State
Methodology and Computing in Applied Probability 24 (4), 2509-2537, 2022
Using augmented reality and machine learning in radiology
L Trestioreanu, P Glauner, JA Meira, M Gindt, R State
Innovative Technologies for Market Leadership: Investing in the Future, 89-106, 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
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
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
Machine learning for data-driven smart grid applications
P Glauner, JA Meira
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
“Overloaded!”—A Model-based Approach to Database Stress Testing
JA Meira, EC de Almeida, D Kim, ERL Filho, Y Le Traon
Database and Expert Systems Applications: 27th International Conference …, 2016
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