Papers in Referred Journals and Conferences (Page #2)

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

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

2020 ACM SIGMOD International Conference on Management of Data (ACM SIGMOD 2020), pages 1887‑1905

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

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

Proceedings of the VLDB Endowment (PVLDB 2020) Journal, Volume 13, pages 925‑938

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GRAIL: Efficient Time-Series Representation Learning

John Paparrizos and Michael Franklin

Proceedings of the VLDB Endowment (PVLDB 2019) Journal, Volume 12, pages 1762‑1777

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Band-limited Training and Inference for Convolutional Neural Networks

Adam Dziedzic1, John Paparrizos1, Sanjay Krishnan, Aaron Elmore, and Michael Franklin

1. Alphabetical order; Equal contribution

36th International Conference on Machine Learning (ICML 2019), pages 1745‑1754

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Fast, Scalable, and Accurate Algorithms for Time-Series Analysis

John Paparrizos

Ph.D. Dissertation, Columbia University

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Fast and Accurate Time-Series Clustering

John Paparrizos and Luis Gravano

ACM Transactions on Database Systems (ACM TODS 2017) Journal, Volume 42, pages 1-49

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Screening for Pancreatic Adenocarcinoma using Signals from Web Search Logs

John Paparrizos, Ryen W. White, and Eric Horvitz

Journal of Oncology Practice (JOP 2016), Volume 12, pages 737‑744

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Predicting the Impact of Scientific Concepts Using Full Text Features

Kathy McKeown,1 Hal Daume,1 Snigdha Chaturvedi,2 John Paparrizos,2 Kapil Thadani,2 et al.

1. Lead PIs 2. Lead student authors in alphabetic order

Journal of the American Society for Information Science and Technology (JASIST 2016), Volume 67, pages 2684‑2696

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The Social Dynamics of Language Chance in Online Networks

Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna Wallach, et al.

International Conference on Social Informatics (SocInfo 2016), pages 41‑57

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Detecting Devastating Diseases in Search Logs

John Paparrizos, Ryen W. White, and Eric Horvitz

2016 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD 2016), pages 559‑568

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k-Shape: Efficient and Accurate Clustering of Time Series

John Paparrizos and Luis Gravano

2015 ACM SIGMOD International Conference on Management of Data (ACM SIGMOD 2015), pages 1855‑1870