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ORCIDJohn Paparrizos
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- affiliation: Ohio State University, OH, USA
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2020 – today
- 2024
[j18]Qinghua Liu, Paul Boniol, Themis Palpanas, John Paparrizos:
Time-Series Anomaly Detection: Overview and New Trends. Proc. VLDB Endow. 17(12): 4229-4232 (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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