Matthew Burgess

Publication Activity (10 Years)

Years Active: 2013-2020
Publications (10 Years): 5

Top Topics

Anomaly Detection

Current Web Search Engines

Consensus Clustering

Top Venues

Publications

Minsu Kim, Seonkyung Park, Jeffrey Irwin, Collin McCormick, Jeffrey Danielson, Gregory Stensaas, Aparajithan Sampath, Mark Bauer, Matthew Burgess
Positional Accuracy Assessment of Lidar Point Cloud from NAIP/3DEP Pilot Project. Remote. Sens. 12 (12) (2020)
Dan Brickley, Matthew Burgess, Natasha F. Noy
Google Dataset Search: Building a search engine for datasets in an open Web ecosystem. WWW (2019)
Matthew Burgess, Eugenia Giraudy, Eytan Adar
Prototype Synthesis for Model Laws. ACL (1) (2016)
Yea-Seul Kim, Jessica Hullman, Matthew Burgess, Eytan Adar
SimpleScience: Lexical Simplification of Scientific Terminology. EMNLP (2016)
Matthew Burgess, Eugenia Giraudy, Julian Katz-Samuels, Joe Walsh, Derek Willis, Lauren Haynes, Rayid Ghani
The Legislative Influence Detector: Finding Text Reuse in State Legislation. KDD (2016)
Matthew Burgess, Eytan Adar, Michael J. Cafarella
Link-Prediction Enhanced Consensus Clustering for Complex Networks. CoRR (2015)
Michael R. Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael J. Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher Ré, Ce Zhang
Brainwash: A Data System for Feature Engineering. CIDR (2013)
Andrew DeOrio, Qingkun Li, Matthew Burgess, Valeria Bertacco
Machine learning-based anomaly detection for post-silicon bug diagnosis. DATE (2013)
Matthew Burgess, Alessandra Mazzia, Eytan Adar, Michael J. Cafarella
Leveraging Noisy Lists for Social Feed Ranking. ICWSM (2013)