| k-Shape: Efficient and Accurate Clustering of Time Series J Paparrizos, L Gravano Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 403 | 2015 |
| Machine learned job recommendation I Paparrizos, BB Cambazoglu, A Gionis Proceedings of the fifth ACM Conference on Recommender Systems, 325-328, 2011 | 115 | 2011 |
| Screening for pancreatic adenocarcinoma using signals from web search logs: Feasibility study and results J Paparrizos, RW White, E Horvitz Journal of oncology practice 12 (8), 737-744, 2016 | 112 | 2016 |
| Fast and Accurate Time-Series Clustering J Paparrizos, L Gravano ACM Transactions on Database Systems (TODS) 42 (2), 8, 2017 | 107 | 2017 |
| Predicting the impact of scientific concepts using full‐text features K McKeown, H Daume III, S Chaturvedi, J Paparrizos, K Thadani, P Barrio, ... Journal of the Association for Information Science and Technology 67 (11 …, 2016 | 52 | 2016 |
| Effective metadata management in federated sensor networks H Jeung, S Sarni, I Paparrizos, S Sathe, K Aberer, N Dawes, ... 2010 IEEE International Conference on Sensor Networks, Ubiquitous, and …, 2010 | 52 | 2010 |
| The social dynamics of language change in online networks R Goel, S Soni, N Goyal, J Paparrizos, H Wallach, F Diaz, J Eisenstein International conference on social informatics, 41-57, 2016 | 38 | 2016 |
| Band-limited Training and Inference for Convolutional Neural Networks A Dziedzic*, J Paparrizos* (* Equal contribution), S Krishnan, A Elmore, ... International Conference on Machine Learning, 1745-1754, 2019 | 18 | 2019 |
| Detecting devastating diseases in search logs J Paparrizos, RW White, E Horvitz Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 16 | 2016 |
| GRAIL: Efficient Time-Series Representation Learning J Paparrizos, MJ Franklin Proceedings of the VLDB Endowment 12 (11), 1762-1777, 2019 | 9 | 2019 |
| Quantitative analysis for authentication of low-cost RFID tags I Paparrizos, S Basagiannis, S Petridou 2011 IEEE 36th Conference on Local Computer Networks, 295-298, 2011 | 8 | 2011 |
| Debunking four long-standing misconceptions of time-series distance measures J Paparrizos, C Liu, AJ Elmore, MJ Franklin Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 6 | 2020 |
| VergeDB: A Database for IoT Analytics on Edge Devices. J Paparrizos, C Liu, B Barbarioli, J Hwang, I Edian, AJ Elmore, ... CIDR, 2021 | 4 | 2021 |
| PIDS: attribute decomposition for improved compression and query performance in columnar storage H Jiang, C Liu, Q Jin, J Paparrizos, AJ Elmore Proceedings of the VLDB Endowment 13 (6), 925-938, 2020 | 4 | 2020 |
| Advanced search, visualization and tagging of sensor metadata I Paparrizos, H Jeung, K Aberer 2011 IEEE 27th International Conference on Data Engineering, 1356-1359, 2011 | 4 | 2011 |
| SAND: streaming subsequence anomaly detection P Boniol, J Paparrizos, T Palpanas, MJ Franklin PVLDB, 2021 | 3 | 2021 |
| Artificial intelligence in resource-constrained and shared environments S Krishnan, AJ Elmore, M Franklin, J Paparrizos, Z Shang, A Dziedzic, ... ACM SIGOPS Operating Systems Review 53 (1), 1-6, 2019 | 2 | 2019 |
| A tight bound on the worst-case number of comparisons for Floyd’s heap construction algorithm I Paparrizos Optimization Theory, Decision Making, and Operations Research Applications …, 2013 | 2 | 2013 |
| Good to the Last Bit: Data-Driven Encoding with CodecDB H Jiang, C Liu, J Paparrizos, AA Chien, J Ma, AJ Elmore Proceedings of the 2021 International Conference on Management of Data, 843-856, 2021 | | 2021 |
| SAND in action: subsequence anomaly detection for streams P Boniol, J Paparrizos, T Palpanas, MJ Franklin PVLDB, 2021 | | 2021 |
Luis GravanoProfessor of Computer Science, Columbia UniversityVerified email at cs.columbia.edu
