Andrew Rau-Chaplin
Affiliations: | Dalhousie University, Halifax, Nova Scotia, Canada |
Area:
Computer ScienceGoogle:
"Andrew Rau-Chaplin"
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Publications
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| Dehne F, Robillard DE, Rau-Chaplin A, et al. (2018) VOLAP: A Scalable Distributed Real-Time OLAP System for High-Velocity Data Ieee Transactions On Parallel and Distributed Systems. 29: 226-239 |
| Cortes OAC, Rau-Chaplin A, Lopes RF. (2016) A Survey on Reinsurrance Contract Optimization Using Evolutionary and Swarm Computation Ieee Latin America Transactions. 14: 4334-4344 |
| Cortes OAC, Rau-Chaplin A. (2016) Enhanced multiobjective population-based incremental learning with applications in risk treaty optimization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9597: 3-18 |
| Burke N, Rau-Chaplin A, Varghese B. (2016) Computing probable maximum loss in catastrophe reinsurance portfolios on multi-core and many-core architectures Concurrency Computation. 28: 836-847 |
| Patel I, Rau-Chaplin A, Varghese B. (2016) Accelerating R-based analytics on the cloud Concurrency Computation. 28: 977-994 |
| Wang H, Cortes OAC, Rau-Chaplin A. (2015) Dynamic optimization of multi-layered reinsurance treaties Proceedings of the Acm Symposium On Applied Computing. 13: 125-132 |
| Kou X, Mei J, Yao Z, et al. (2015) Efficient Parallelization of the Google Trigram Method for Document Relatedness Computation Proceedings of the International Conference On Parallel Processing Workshops. 2015: 98-104 |
| Dehne F, Kong Q, Rau-Chaplin A, et al. (2015) Scalable real-time OLAP on cloud architectures Journal of Parallel and Distributed Computing. 79: 31-41 |
| Brown L, Beria AA, Cortes OAC, et al. (2014) Parallel MO-PBIL: Computing pareto optimal frontiers efficiently with applications in reinsurance analytics Proceedings of the 2014 International Conference On High Performance Computing and Simulation, Hpcs 2014. 766-775 |
| Baltzer O, Dehne F, Rau-Chaplin A. (2013) OLAP for moving object data International Journal of Intelligent Information and Database Systems. 7: 79-112 |