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John Paparrizos
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- affiliation: Ohio State University, OH, USA
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2020 – today
- 2024
- [c13]Jens E. d'Hondt, Odysseas Papapetrou, John Paparrizos:
Beyond the Dimensions: A Structured Evaluation of Multivariate Time Series Distance Measures. ICDEW 2024: 107-112 - [c12]Chunwei Liu, John Paparrizos, Aaron J. Elmore:
AdaEdge: A Dynamic Compression Selection Framework for Resource Constrained Devices. ICDE 2024: 1506-1519 - [c11]Paul Boniol, John Paparrizos, Themis Palpanas:
An Interactive Dive into Time-Series Anomaly Detection. ICDE 2024: 5382-5386 - [c10]Paul Boniol, Emmanouil Sylligardos, John Paparrizos, Panos E. Trahanias, Themis Palpanas:
ADecimo: Model Selection for Time Series Anomaly Detection. ICDE 2024: 5441-5444 - 2023
- [j17]John Paparrizos, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin:
Querying Time-Series Data: A Comprehensive Comparison of Distance Measures. IEEE Data Eng. Bull. 46(3): 69-88 (2023) - [j16]Shinan Liu
, Tarun Mangla
, Ted Shaowang
, Jinjin Zhao
, John Paparrizos
, Sanjay Krishnan
, Nick Feamster
:
AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environments. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(1): 21:1-21:26 (2023) - [j15]John Paparrizos
, Kaize Wu, Aaron J. Elmore, Christos Faloutsos, Michael J. Franklin:
Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances. Proc. VLDB Endow. 16(8): 2019-2032 (2023) - [j14]Emmanouil Sylligardos
, Paul Boniol, John Paparrizos, Panos E. Trahanias, Themis Palpanas:
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series. Proc. VLDB Endow. 16(11): 3418-3432 (2023) - [j13]John Paparrizos, Sai Prasanna Teja Reddy:
Odyssey: An Engine Enabling The Time-Series Clustering Journey. Proc. VLDB Endow. 16(12): 4066-4069 (2023) - [c9]Paul Boniol, John Paparrizos, Themis Palpanas:
New Trends in Time Series Anomaly Detection. EDBT 2023: 847-850 - 2022
- [j12]John Paparrizos
, Yuhao Kang
, Paul Boniol, Ruey S. Tsay, Themis Palpanas, Michael J. Franklin:
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection. Proc. VLDB Endow. 15(8): 1697-1711 (2022) - [j11]John Paparrizos
, Paul Boniol, Themis Palpanas, Ruey Tsay, Aaron J. Elmore
, Michael J. Franklin:
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection. Proc. VLDB Endow. 15(11): 2774-2787 (2022) - [j10]Paul Boniol, John Paparrizos
, Yuhao Kang
, Themis Palpanas, Ruey S. Tsay, Aaron J. Elmore
, Michael J. Franklin:
Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection. Proc. VLDB Endow. 15(12): 3702-3705 (2022) - [c8]John Paparrizos
, Ikraduya Edian, Chunwei Liu
, Aaron J. Elmore
, Michael J. Franklin:
Fast Adaptive Similarity Search through Variance-Aware Quantization. ICDE 2022: 2969-2983 - 2021
- [j9]Paul Boniol, John Paparrizos
, Themis Palpanas, Michael J. Franklin:
SAND: Streaming Subsequence Anomaly Detection. Proc. VLDB Endow. 14(10): 1717-1729 (2021) - [j8]Chunwei Liu
, Hao Jiang, John Paparrizos
, Aaron J. Elmore
:
Decomposed Bounded Floats for Fast Compression and Queries. Proc. VLDB Endow. 14(11): 2586-2598 (2021) - [j7]Paul Boniol, John Paparrizos
, Themis Palpanas, Michael J. Franklin:
SAND in Action: Subsequence Anomaly Detection for Streams. Proc. VLDB Endow. 14(12): 2867-2870 (2021) - [c7]John Paparrizos, Chunwei Liu, Bruno Barbarioli, Johnny Hwang, Ikraduya Edian, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan:
VergeDB: A Database for IoT Analytics on Edge Devices. CIDR 2021 - [c6]Hao Jiang
, Chunwei Liu
, John Paparrizos
, Andrew A. Chien, Jihong Ma, Aaron J. Elmore
:
Good to the Last Bit: Data-Driven Encoding with CodecDB. SIGMOD Conference 2021: 843-856 - 2020
- [j6]Hao Jiang
, Chunwei Liu
, Qi Jin, John Paparrizos
, Aaron J. Elmore
:
PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage. Proc. VLDB Endow. 13(6): 925-938 (2020) - [c5]John Paparrizos
, Chunwei Liu
, Aaron J. Elmore
, Michael J. Franklin:
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures. SIGMOD Conference 2020: 1887-1905
2010 – 2019
- 2019
- [j5]John Paparrizos
, Michael J. Franklin:
GRAIL: Efficient Time-Series Representation Learning. Proc. VLDB Endow. 12(11): 1762-1777 (2019) - [j4]Sanjay Krishnan, Aaron J. Elmore
, Michael J. Franklin, John Paparrizos, Zechao Shang, Adam Dziedzic, Rui Liu
:
Artificial Intelligence in Resource-Constrained and Shared Environments. ACM SIGOPS Oper. Syst. Rev. 53(1): 1-6 (2019) - [c4]Adam Dziedzic
, John Paparrizos, Sanjay Krishnan, Aaron J. Elmore
, Michael J. Franklin:
Band-limited Training and Inference for Convolutional Neural Networks. ICML 2019: 1745-1754 - [i2]Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin:
Band-limited Training and Inference for Convolutional Neural Networks. CoRR abs/1911.09287 (2019) - 2017
- [j3]John Paparrizos
, Luis Gravano:
Fast and Accurate Time-Series Clustering. ACM Trans. Database Syst. 42(2): 8:1-8:49 (2017) - 2016
- [j2]Kathy McKeown, Hal Daumé III, Snigdha Chaturvedi, John Paparrizos
, Kapil Thadani, Pablo Barrio, Or Biran, Suvarna Bothe, Michael Collins, Kenneth R. Fleischmann, Luis Gravano, Rahul Jha, Ben King, Kevin McInerney, Taesun Moon, Arvind Neelakantan, Diarmuid Ó Séaghdha, Dragomir R. Radev, Thomas Clay Templeton, Simone Teufel:
Predicting the impact of scientific concepts using full-text features. J. Assoc. Inf. Sci. Technol. 67(11): 2684-2696 (2016) - [j1]John Paparrizos
, Luis Gravano:
k-Shape: Efficient and Accurate Clustering of Time Series. SIGMOD Rec. 45(1): 69-76 (2016) - [c3]John Paparrizos
, Ryen W. White, Eric Horvitz:
Detecting Devastating Diseases in Search Logs. KDD 2016: 559-568 - [c2]Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos
, Hanna M. Wallach, Fernando Diaz, Jacob Eisenstein:
The Social Dynamics of Language Change in Online Networks. SocInfo (1) 2016: 41-57 - [i1]Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna M. Wallach, Fernando Diaz, Jacob Eisenstein:
The Social Dynamics of Language Change in Online Networks. CoRR abs/1609.02075 (2016) - 2015
- [c1]John Paparrizos
, Luis Gravano:
k-Shape: Efficient and Accurate Clustering of Time Series. SIGMOD Conference 2015: 1855-1870
Coauthor Index
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last updated on 2024-08-05 20:24 CEST by the dblp team
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