Detecting Devastating Diseases in Search Logs. - John Paparrizos; Ryen W. White; Eric Horvitz (KDD, 2016)

The Social Dynamics of Language Change in Online Networks. - Rahul Goel; Sandeep Soni; Naman Goyal; John Paparrizos; Hanna M. Wallach; Fernando Diaz 001; Jacob Eisenstein (SocInfo (1), 2016)

Predicting the impact of scientific concepts using full-text features. - Kathy McKeown; Hal Daumé III; Snigdha Chaturvedi; John Paparrizos; Kapil Thadani; Pablo Barrio 002; Or Biran; Suvarna Bothe; Michael Collins 001; Kenneth R. Fleischmann; Luis Gravano; Rahul Jha; et al. (J. Assoc. Inf. Sci. Technol., 2016)

k-Shape: Efficient and Accurate Clustering of Time Series. - John Paparrizos; Luis Gravano (SIGMOD Rec., 2016)

Fast and Accurate Time-Series Clustering. - John Paparrizos; Luis Gravano (ACM Trans. Database Syst., 2017)

Band-limited Training and Inference for Convolutional Neural Networks. - Adam Dziedzic; John Paparrizos; Sanjay Krishnan; Aaron J. Elmore; Michael J. Franklin (ICML, 2019)

GRAIL: Efficient Time-Series Representation Learning. - John Paparrizos; Michael J. Franklin (Proc. VLDB Endow., 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 002 (ACM SIGOPS Oper. Syst. Rev., 2019)

Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures. - John Paparrizos; Chunwei Liu; Aaron J. Elmore; Michael J. Franklin (SIGMOD Conference, 2020)

PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage. - Hao Jiang 021; Chunwei Liu; Qi Jin; John Paparrizos; Aaron J. Elmore (Proc. VLDB Endow., 2020)

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 (CIDR, 2021)

Good to the Last Bit: Data-Driven Encoding with CodecDB. - Hao Jiang 021; Chunwei Liu; John Paparrizos; Andrew A. Chien; Jihong Ma; Aaron J. Elmore (SIGMOD Conference, 2021)

SAND: Streaming Subsequence Anomaly Detection. - Paul Boniol; John Paparrizos; Themis Palpanas; Michael J. Franklin (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)

Decomposed Bounded Floats for Fast Compression and Queries. - Chunwei Liu; Hao Jiang 021; John Paparrizos; Aaron J. Elmore (Proc. VLDB Endow., 2021)

Fast Adaptive Similarity Search through Variance-Aware Quantization. - John Paparrizos; Ikraduya Edian; Chunwei Liu; Aaron J. Elmore; Michael J. Franklin (ICDE, 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)

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)

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)

New Trends in Time Series Anomaly Detection. - Paul Boniol; John Paparrizos; Themis Palpanas (EDBT, 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)

Odyssey: An Engine Enabling The Time-Series Clustering Journey. - John Paparrizos; Sai Prasanna Teja Reddy (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)

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)

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., 2023)

An Interactive Dive into Time-Series Anomaly Detection. - Paul Boniol; John Paparrizos; Themis Palpanas (ICDE, 2024)

ADecimo: Model Selection for Time Series Anomaly Detection. - Paul Boniol; Emmanouil Sylligardos; John Paparrizos; Panos E. Trahanias; Themis Palpanas (ICDE, 2024)

AdaEdge: A Dynamic Compression Selection Framework for Resource Constrained Devices. - Chunwei Liu; John Paparrizos; Aaron J. Elmore (ICDE, 2024)

Beyond the Dimensions: A Structured Evaluation of Multivariate Time Series Distance Measures. - Jens E. d'Hondt; Odysseas Papapetrou; John Paparrizos (ICDEW, 2024)

Time-Series Anomaly Detection: Overview and New Trends. - Qinghua Liu; Paul Boniol; Themis Palpanas; John Paparrizos (Proc. VLDB Endow., 2024)