Lisa Friedland

According to our database, Lisa Friedland authored at least 14 papers between 2003 and 2018.

Collaborative distances:

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

2018

Auditing Partisan Audience Bias within Google Search.

Ronald E. Robertson, Shan Jiang, Kenneth Joseph, Lisa Friedland, David Lazer, Christo Wilson

Proc. ACM Hum. Comput. Interact., 2018

2017

"Voters of the Year": 19 Voters Who Were Unintentional Election Poll Sensors on Twitter.

William Hobbs, Lisa Friedland, Kenneth Joseph, Oren Tsur, Stefan Wojcik, David Lazer

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

ConStance: Modeling Annotation Contexts to Improve Stance Classification.

Kenneth Joseph, Lisa Friedland, William Hobbs, David Lazer, Oren Tsur

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2014

Classifier-Adjusted Density Estimation for Anomaly Detection and One-Class Classification.

Lisa Friedland, Amanda Gentzel, David D. Jensen

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013

Detecting insider threats in a real corporate database of computer usage activity.

Ted E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan A. Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel D. Corkill, Lisa Friedland, Amanda Gentzel, David D. Jensen

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events.

Lisa Friedland, David D. Jensen, Michael Lavine

Proceedings of the 30th International Conference on Machine Learning, 2013

2011

Feature Extraction and Machine Learning on Symbolic Music using the music21 Toolkit.

Michael Scott Cuthbert, Christopher Ariza, Lisa Friedland

Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

2010

Detecting Social Ties and Copying Events from Affiliation Data.

Lisa Friedland

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Anomaly Detection for Inferring Social Structure.

Lisa Friedland

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

2008

Joke retrieval: recognizing the same joke told differently.

Lisa Friedland, James Allan

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007

Finding tribes: identifying close-knit individuals from employment patterns.

Lisa Friedland, David D. Jensen

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Relational data pre-processing techniques for improved securities fraud detection.

Andrew S. Fast, Lisa Friedland, Marc E. Maier, Brian J. Taylor, David D. Jensen, Henry G. Goldberg, John Komoroske

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2003

Exploiting relational structure to understand publication patterns in high-energy physics.

Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew S. Fast, Jennifer Neville, David D. Jensen

SIGKDD Explor., 2003

Learning relational probability trees.

Jennifer Neville, David D. Jensen, Lisa Friedland, Michael Hay

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003