John Paparrizos

According to our database, John Paparrizos authored at least 25 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environments.

Shinan Liu, Tarun Mangla, Ted Shaowang, Jinjin Zhao, John Paparrizos, Sanjay Krishnan, Nick Feamster

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2023

Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series.

Emmanouil Sylligardos, Paul Boniol, John Paparrizos, Panos E. Trahanias, Themis Palpanas

Proc. VLDB Endow., 2023

Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances.

John Paparrizos, Kaize Wu, Aaron J. Elmore, Christos Faloutsos, Michael J. Franklin

Proc. VLDB Endow., 2023

Odyssey: An Engine Enabling The Time-Series Clustering Journey.

John Paparrizos, Sai Prasanna Teja Reddy

Proc. VLDB Endow., 2023

Querying Time-Series Data: A Comprehensive Comparison of Distance Measures.

John Paparrizos, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin

IEEE Data Eng. Bull., 2023

New Trends in Time Series Anomaly Detection.

Paul Boniol, John Paparrizos, Themis Palpanas

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022

TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection.

John Paparrizos, Yuhao Kang, Paul Boniol, Ruey S. Tsay, Themis Palpanas, Michael J. Franklin

Proc. VLDB Endow., 2022

Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection.

John Paparrizos, Paul Boniol, Themis Palpanas, Ruey Tsay, Aaron J. Elmore, Michael J. Franklin

Proc. VLDB Endow., 2022

Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection.

Paul Boniol, John Paparrizos, Yuhao Kang, Themis Palpanas, Ruey S. Tsay, Aaron J. Elmore, Michael J. Franklin

Proc. VLDB Endow., 2022

Fast Adaptive Similarity Search through Variance-Aware Quantization.

John Paparrizos, Ikraduya Edian, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Decomposed Bounded Floats for Fast Compression and Queries.

Chunwei Liu, Hao Jiang, John Paparrizos, Aaron J. Elmore

Proc. VLDB Endow., 2021

SAND in Action: Subsequence Anomaly Detection for Streams.

Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin

Proc. VLDB Endow., 2021

SAND: Streaming Subsequence Anomaly Detection.

Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin

Proc. VLDB Endow., 2021

Good to the Last Bit: Data-Driven Encoding with CodecDB.

Hao Jiang, Chunwei Liu, John Paparrizos, Andrew A. Chien, Jihong Ma, Aaron J. Elmore

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

VergeDB: A Database for IoT Analytics on Edge Devices.

John Paparrizos, Chunwei Liu, Bruno Barbarioli, Johnny Hwang, Ikraduya Edian, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage.

Hao Jiang, Chunwei Liu, Qi Jin, John Paparrizos, Aaron J. Elmore

Proc. VLDB Endow., 2020

Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures.

John Paparrizos, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Artificial Intelligence in Resource-Constrained and Shared Environments.

Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin, John Paparrizos, Zechao Shang, Adam Dziedzic, Rui Liu

ACM SIGOPS Oper. Syst. Rev., 2019

GRAIL: Efficient Time-Series Representation Learning.

John Paparrizos, Michael J. Franklin

Proc. VLDB Endow., 2019

Band-limited Training and Inference for Convolutional Neural Networks.

Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Fast and Accurate Time-Series Clustering.

John Paparrizos, Luis Gravano

ACM Trans. Database Syst., 2017

2016

k-Shape: Efficient and Accurate Clustering of Time Series.

John Paparrizos, Luis Gravano

SIGMOD Rec., 2016

Predicting the impact of scientific concepts using full-text features.

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

J. Assoc. Inf. Sci. Technol., 2016

The Social Dynamics of Language Change in Online Networks.

Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna M. Wallach, Fernando Diaz, Jacob Eisenstein

Proceedings of the Social Informatics - 8th International Conference, 2016

Detecting Devastating Diseases in Search Logs.

John Paparrizos, Ryen W. White, Eric Horvitz

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016