| Learning state representations for query optimization with deep reinforcement learning J Ortiz, M Balazinska, J Gehrke, SS Keerthi Proceedings of the Second Workshop on Data Management for End-To-End Machine …, 2018 | 197 | 2018 |
| Demonstration of the Myria big data management service D Halperin, V Teixeira de Almeida, LL Choo, S Chu, P Koutris, D Moritz, ... Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 164 | 2014 |
| The Myria Big Data Management and Analytics System and Cloud Services. J Wang, T Baker, M Balazinska, D Halperin, B Haynes, B Howe, ... CIDR, 2017 | 97 | 2017 |
| An empirical analysis of deep learning for cardinality estimation J Ortiz, M Balazinska, J Gehrke, SS Keerthi arXiv preprint arXiv:1905.06425, 2019 | 64 | 2019 |
| Changing the Face of Database Cloud Services with Personalized Service Level Agreements. J Ortiz, VT De Almeida, M Balazinska CIDR, 2015 | 39 | 2015 |
| {SLAOrchestrator}: Reducing the Cost of Performance {SLAs} for Cloud Data Analytics J Ortiz, B Lee, M Balazinska, J Gehrke, JL Hellerstein 2018 USENIX Annual Technical Conference (USENIX ATC 18), 547-560, 2018 | 28 | 2018 |
| Perfenforce demonstration: Data analytics with performance guarantees J Ortiz, B Lee, M Balazinska Proceedings of the 2016 International Conference on Management of Data, 2141 …, 2016 | 27 | 2016 |
| A vision for personalized service level agreements in the cloud J Ortiz, VT De Almeida, M Balazinska Proceedings of the Second Workshop on Data Analytics in the Cloud, 21-25, 2013 | 24 | 2013 |
| Perfenforce overview: A dynamic scaling engine for analytics with performance guarantees J Ortiz Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 9 | 2017 |
| An empirical analysis of deep learning for cardinality estimation. CoRR abs/1905.06425 (2019) J Ortiz, M Balazinska, J Gehrke, SS Keerthi arXiv preprint arXiv:1905.06425, 2019 | 7 | 2019 |
| Big-data management use-case: A cloud service for creating and analyzing galactic merger trees S Loebman, J Ortiz, LL Choo, L Orr, L Anderson, D Halperin, ... Proceedings of Workshop on Data analytics in the Cloud, 1-4, 2014 | 7 | 2014 |
| An Empirical Analysis of Deep Learning for Cardinality Estimation. CoRR J Ortiz, M Balazinska, J Gehrke, SS Keerthi arXiv preprint arXiv:1905.06425, 2019 | 6 | 2019 |
| Using formative assessment for improving pedagogy: reflections on feedback informing database visualizations SW Dietrich, D Goelman, J Broatch, SM Crook, B Ball, K Kobojek, J Ortiz ACM Inroads 11 (4), 27-34, 2020 | 4 | 2020 |
| Clustering with the DBLP Bibliography to Measure External Impact of a Computer Science Research Area L Orr, J Ortiz доступен по ссылке http://homes. cs. washington. edu/~ jortiz16/images …, 2013 | 4 | 2013 |
| Introducing Databases in Context Through Customizable Visualizations SW Dietrich, D Goelman, J Broatch, S Crook, B Ball, K Kobojek, J Ortiz Frontiers in Education 6, 719134, 2021 | 2 | 2021 |
| Finger Gesture Recognition Using Microphone Arrays SJ Lee, J Ortiz | 2 | 2014 |
| Learning from database performance benchmarks J Ortiz, SW Dietrich, MB Chaudhari Journal of Computing Sciences in Colleges 27 (4), 151-158, 2012 | 2 | 2012 |
| Towards a hybrid relational and XML benchmark for loosely-coupled distributed data sources MB Chaudhari, SW Dietrich, J Ortiz, S Pearson Journal of Systems and Software 109, 78-87, 2015 | 1 | 2015 |
| Performance-Based Service Level Agreements for Data Analytics in the Cloud J Ortiz | | 2019 |
| DBGEN for TPC-H scale factor< 1GB J Ortiz, MB Chaudhari, SW Dietrich | | 2014 |
