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Lisa Friedland
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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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last updated on 2024-08-28 23:31 CEST by the dblp team
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