Matthew Burgess

According to our database, Matthew Burgess authored at least 11 papers between 2013 and 2024.

Collaborative distances:

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

2024

Hyperspectral Image Transects during Transient Events in Rivers (HITTER): Framework Development and Application to a Tracer Experiment on the Missouri River, USA.

Carl J. Legleiter, Victoria M. Scholl, Brandon J. Sansom, Matthew Burgess

Remote. Sens., October, 2024

2020

Positional Accuracy Assessment of Lidar Point Cloud from NAIP/3DEP Pilot Project.

Minsu Kim, Seonkyung Park, Jeffrey Irwin, Collin McCormick, Jeffrey Danielson, Gregory Stensaas, Aparajithan Sampath, Mark Bauer, Matthew Burgess

Remote. Sens., 2020

2019

Google Dataset Search: Building a search engine for datasets in an open Web ecosystem.

Dan Brickley, Matthew Burgess, Natasha F. Noy

Proceedings of the World Wide Web Conference, 2019

2016

Network Analysis on Incomplete Structures.

Matthew Burgess

PhD thesis, 2016

The Legislative Influence Detector: Finding Text Reuse in State Legislation.

Matthew Burgess, Eugenia Giraudy, Julian Katz-Samuels, Joe Walsh, Derek Willis, Lauren Haynes, Rayid Ghani

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

SimpleScience: Lexical Simplification of Scientific Terminology.

Yea-Seul Kim, Jessica Hullman, Matthew Burgess, Eytan Adar

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Prototype Synthesis for Model Laws.

Matthew Burgess, Eugenia Giraudy, Eytan Adar

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Link-Prediction Enhanced Consensus Clustering for Complex Networks.

Matthew Burgess, Eytan Adar, Michael J. Cafarella

CoRR, 2015

2013

Leveraging Noisy Lists for Social Feed Ranking.

Matthew Burgess, Alessandra Mazzia, Eytan Adar, Michael J. Cafarella

Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Machine learning-based anomaly detection for post-silicon bug diagnosis.

Andrew DeOrio, Qingkun Li, Matthew Burgess, Valeria Bertacco

Proceedings of the Design, Automation and Test in Europe, 2013

Brainwash: A Data System for Feature Engineering.

Michael R. Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael J. Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher Ré, Ce Zhang

Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013