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John Paparrizos
John Paparrizos
🔬 The DATUM Lab 🎓 The Ohio State University
Vahvistettu sähköpostiosoite verkkotunnuksessa paparrizos.org - Kotisivu
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Viittaukset
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Vuosi
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
8932015
Fast and Accurate Time-Series Clustering
J Paparrizos, L Gravano
ACM Transactions on Database Systems (TODS) 42 (2), 1-49, 2017
2232017
Machine Learned Job Recommendation
J Paparrizos, BB Cambazoglu, A Gionis
Proceedings of the fifth ACM Conference on Recommender Systems, 325-328, 2011
1922011
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
142*2016
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
712016
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
702016
TSB-UAD: an end-to-end benchmark suite for univariate time-series anomaly detection
J Paparrizos, Y Kang, P Boniol, RS Tsay, T Palpanas, MJ Franklin
Proceedings of the VLDB Endowment 15 (8), 1697-1711, 2022
652022
SAND: streaming subsequence anomaly detection
P Boniol, J Paparrizos, T Palpanas, MJ Franklin
Proceedings of the VLDB Endowment 14 (10), 1717-1729, 2021
58*2021
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
562010
VergeDB: A Database for IoT Analytics on Edge Devices.
J Paparrizos, C Liu, B Barbarioli, J Hwang, I Edian, AJ Elmore, ...
CIDR, 2021
552021
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
512020
GRAIL: efficient time-series representation learning
J Paparrizos, MJ Franklin
Proceedings of the VLDB Endowment 12 (11), 1762-1777, 2019
502019
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
482019
Volume under the surface: a new accuracy evaluation measure for time-series anomaly detection
J Paparrizos, P Boniol, T Palpanas, RS Tsay, A Elmore, MJ Franklin
Proceedings of the VLDB Endowment 15 (11), 2774-2787, 2022
332022
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
262021
Decomposed bounded floats for fast compression and queries
C Liu, H Jiang, J Paparrizos, AJ Elmore
Proceedings of the VLDB Endowment 14 (11), 2586-2598, 2021
252021
Detecting devastating diseases in search logs
J Paparrizos, RW White, E Horvitz
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
212016
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
192020
Fast Adaptive Similarity Search through Variance-Aware Quantization
J Paparrizos, I Edian, C Liu, AJ Elmore, MJ Franklin
2022 IEEE 38th International Conference on Data Engineering (ICDE), 2969-2983, 2022
142022
Theseus: navigating the labyrinth of time-series anomaly detection
P Boniol, J Paparrizos, Y Kang, T Palpanas, RS Tsay, AJ Elmore, ...
Proceedings of the VLDB Endowment 15 (12), 3702-3705, 2022
12*2022
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Artikkelit 1–20