John Paparrizos
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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
Machine learned job recommendation
I Paparrizos, BB Cambazoglu, A Gionis
Proceedings of the fifth ACM Conference on Recommender Systems, 325-328, 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
Fast and Accurate Time-Series Clustering
J Paparrizos, L Gravano
ACM Transactions on Database Systems (TODS) 42 (2), 8, 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
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
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
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
Detecting devastating diseases in search logs
J Paparrizos, RW White, E Horvitz
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
GRAIL: Efficient Time-Series Representation Learning
J Paparrizos, MJ Franklin
Proceedings of the VLDB Endowment 12 (11), 1762-1777, 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
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
VergeDB: A Database for IoT Analytics on Edge Devices.
J Paparrizos, C Liu, B Barbarioli, J Hwang, I Edian, AJ Elmore, ...
CIDR, 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
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
SAND: streaming subsequence anomaly detection
P Boniol, J Paparrizos, T Palpanas, MJ Franklin
PVLDB, 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
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
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
SAND in action: subsequence anomaly detection for streams
P Boniol, J Paparrizos, T Palpanas, MJ Franklin
PVLDB, 2021
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