| The end of slow networks: It's time for a redesign C Binnig, A Crotty, A Galakatos, T Kraska, E Zamanian arXiv preprint arXiv:1504.01048, 2015 | 201 | 2015 |
| How progressive visualizations affect exploratory analysis E Zgraggen, A Galakatos, A Crotty, JD Fekete, T Kraska IEEE transactions on visualization and computer graphics 23 (8), 1977-1987, 2016 | 125 | 2016 |
| Vizdom: interactive analytics through pen and touch A Crotty, A Galakatos, E Zgraggen, C Binnig, T Kraska Proceedings of the VLDB Endowment 8 (12), 2024-2027, 2015 | 107 | 2015 |
| An architecture for compiling udf-centric workflows A Crotty, A Galakatos, K Dursun, T Kraska, C Binnig, U Cetintemel, ... Proceedings of the VLDB Endowment 8 (12), 1466-1477, 2015 | 107 | 2015 |
| Tupleware: "Big" Data, Big Analytics, Small Clusters A Crotty, A Galakatos, K Dursun, T Kraska, U Çetintemel, SB Zdonik CIDR, 2015 | 104 | 2015 |
| Revisiting reuse for approximate query processing A Galakatos, A Crotty, E Zgraggen, C Binnig, T Kraska Proceedings of the VLDB Endowment 10 (10), 1142-1153, 2017 | 86 | 2017 |
| The case for interactive data exploration accelerators (IDEAs) A Crotty, A Galakatos, E Zgraggen, C Binnig, T Kraska Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 1-6, 2016 | 50 | 2016 |
| Dbpal: A fully pluggable nl2sql training pipeline N Weir, P Utama, A Galakatos, A Crotty, A Ilkhechi, S Ramaswamy, ... Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 31 | 2020 |
| Distributed Machine Learning. A Galakatos, A Crotty, T Kraska Encyclopedia of Database Systems (2nd ed.), 2018 | 25 | 2018 |
| Tupleware: Distributed Machine Learning on Small Clusters. A Crotty, A Galakatos, T Kraska IEEE Data Eng. Bull. 37 (3), 63-76, 2014 | 24 | 2014 |
| Tupleware: Redefining modern analytics A Crotty, A Galakatos, K Dursun, T Kraska, U Çetintemel, S Zdonik arXiv preprint arXiv:1406.6667, 2014 | 22 | 2014 |
| DeepSqueeze: deep semantic compression for tabular data A Ilkhechi, A Crotty, A Galakatos, Y Mao, G Fan, X Shi, U Cetintemel Proceedings of the 2020 ACM SIGMOD international conference on management of …, 2020 | 19 | 2020 |
| Hist-Tree: Those Who Ignore It Are Doomed to Learn. A Crotty CIDR, 2021 | 17 | 2021 |
| Are you sure you want to use mmap in your database management system A Crotty, V Leis, A Pavlo CIDR 2022, Conference on Innovative Data Systems Research. https://db. cs …, 2022 | 9 | 2022 |
| Getting swole: Generating access-aware code with predicate pullups A Crotty, A Galakatos, T Kraska 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1273-1284, 2020 | 8 | 2020 |
| Odlaw: A tool for retroactive gdpr compliance C Luckett, A Crotty, A Galakatos, U Cetintemel 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2709-2712, 2021 | 6 | 2021 |
| Towards interactive data exploration C Binnig, F Basık, B Buratti, U Cetintemel, Y Chung, A Crotty, C Cousins, ... Real-Time Business Intelligence and Analytics: International Workshops …, 2019 | 6 | 2019 |
| DBPal: Weak Supervision for Learning a Natural Language Interface to Databases N Weir, A Crotty, A Galakatos, A Ilkhechi, S Ramaswamy, R Bhushan, ... 1st Int’l Workshop on Conversational Access to Data (CAST@VLDB), 4, 2019 | 6 | 2019 |
| Discrete time specifications in temporal queries P Eichmann, A Crotty, A Galakatos, E Zgraggen Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors …, 2017 | 6 | 2017 |
| Hybrids: Cache-conscious concurrent data structures for near-memory processing architectures J Choe, A Crotty, T Moreshet, M Herlihy, RI Bahar Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and …, 2022 | 5 | 2022 |
Alex GalakatosBrown UniversityVerified email at brown.edu
