John Paparrizos

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 30

Top Topics

Anomaly Detection

Detect Anomalies

Distance Measure

Similarity Search

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

Paul Boniol, John Paparrizos, Themis Palpanas
An Interactive Dive into Time-Series Anomaly Detection. ICDE (2024)
Paul Boniol, Emmanouil Sylligardos, John Paparrizos, Panos E. Trahanias, Themis Palpanas
ADecimo: Model Selection for Time Series Anomaly Detection. ICDE (2024)
Chunwei Liu, John Paparrizos, Aaron J. Elmore
AdaEdge: A Dynamic Compression Selection Framework for Resource Constrained Devices. ICDE (2024)
Jens E. d'Hondt, Odysseas Papapetrou, John Paparrizos
Beyond the Dimensions: A Structured Evaluation of Multivariate Time Series Distance Measures. ICDEW (2024)
John Paparrizos, Sai Prasanna Teja Reddy
Odyssey: An Engine Enabling The Time-Series Clustering Journey. Proc. VLDB Endow. 16 (12) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2022)
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) (2022)
John Paparrizos, Ikraduya Edian, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin
Fast Adaptive Similarity Search through Variance-Aware Quantization. ICDE (2022)
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) (2022)
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)
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)
Chunwei Liu, Hao Jiang, John Paparrizos, Aaron J. Elmore
Decomposed Bounded Floats for Fast Compression and Queries. Proc. VLDB Endow. 14 (11) (2021)
Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin
SAND in Action: Subsequence Anomaly Detection for Streams. Proc. VLDB Endow. 14 (12) (2021)
Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin
SAND: Streaming Subsequence Anomaly Detection. Proc. VLDB Endow. 14 (10) (2021)
John Paparrizos, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures. SIGMOD Conference (2020)
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) (2020)
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) (2019)
John Paparrizos, Michael J. Franklin
GRAIL: Efficient Time-Series Representation Learning. Proc. VLDB Endow. 12 (11) (2019)
Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
Band-limited Training and Inference for Convolutional Neural Networks. ICML (2019)
Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
Band-limited Training and Inference for Convolutional Neural Networks. CoRR (2019)
John Paparrizos, Luis Gravano
Fast and Accurate Time-Series Clustering. ACM Trans. Database Syst. 42 (2) (2017)
John Paparrizos, Luis Gravano
k-Shape: Efficient and Accurate Clustering of Time Series. SIGMOD Rec. 45 (1) (2016)
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 (2016)
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) (2016)
John Paparrizos, Ryen W. White, Eric Horvitz
Detecting Devastating Diseases in Search Logs. KDD (2016)
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)
John Paparrizos, Luis Gravano
k-Shape: Efficient and Accurate Clustering of Time Series. SIGMOD Conference (2015)