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2020 – today
- 2024
[c12]Maor Reuben, Lisa Friedland, Rami Puzis, Nir Grinberg:
Leveraging Exposure Networks for Detecting Fake News Sources. KDD 2024: 5635-5646
2010 – 2019
- 2018
- [j2]Ronald E. Robertson, Shan Jiang, Kenneth Joseph, Lisa Friedland, David Lazer, Christo Wilson
:
Auditing Partisan Audience Bias within Google Search. Proc. ACM Hum. Comput. Interact. 2(CSCW): 148:1-148:22 (2018) - 2017
- [c11]Kenneth Joseph, Lisa Friedland, William Hobbs, David Lazer, Oren Tsur:
ConStance: Modeling Annotation Contexts to Improve Stance Classification. EMNLP 2017: 1115-1124 - [c10]William Hobbs, Lisa Friedland, Kenneth Joseph, Oren Tsur, Stefan Wojcik, David Lazer:
"Voters of the Year": 19 Voters Who Were Unintentional Election Poll Sensors on Twitter. ICWSM 2017: 544-547 - [i1]Kenneth Joseph, Lisa Friedland, William Hobbs, Oren Tsur, David Lazer:
ConStance: Modeling Annotation Contexts to Improve Stance Classification. CoRR abs/1708.06309 (2017) - 2014
- [c9]Lisa Friedland, Amanda Gentzel, David D. Jensen:
Classifier-Adjusted Density Estimation for Anomaly Detection and One-Class Classification. SDM 2014: 578-586 - 2013
- [c8]Lisa Friedland, David D. Jensen, Michael Lavine:
Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events. ICML (3) 2013: 1175-1183 - [c7]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:
Detecting insider threats in a real corporate database of computer usage activity. KDD 2013: 1393-1401 - 2011
- [c6]Michael Scott Cuthbert, Christopher Ariza, Lisa Friedland:
Feature Extraction and Machine Learning on Symbolic Music using the music21 Toolkit. ISMIR 2011: 387-392 - 2010
- [c5]Lisa Friedland:
Detecting Social Ties and Copying Events from Affiliation Data. AAAI 2010
2000 – 2009
- 2009
- [r1]Lisa Friedland:
Anomaly Detection for Inferring Social Structure. Encyclopedia of Data Warehousing and Mining 2009: 39-44 - 2008
- [c4]Lisa Friedland, James Allan:
Joke retrieval: recognizing the same joke told differently. CIKM 2008: 883-892 - 2007
- [c3]Lisa Friedland, David D. Jensen:
Finding tribes: identifying close-knit individuals from employment patterns. KDD 2007: 290-299 - [c2]Andrew S. Fast, Lisa Friedland, Marc E. Maier, Brian J. Taylor, David D. Jensen, Henry G. Goldberg, John Komoroske:
Relational data pre-processing techniques for improved securities fraud detection. KDD 2007: 941-949 - 2003
- [j1]Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew S. Fast, Jennifer Neville, David D. Jensen:
Exploiting relational structure to understand publication patterns in high-energy physics. SIGKDD Explor. 5(2): 165-172 (2003) - [c1]Jennifer Neville, David D. Jensen, Lisa Friedland, Michael Hay:
Learning relational probability trees. KDD 2003: 625-630
Coauthor Index
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