Lisa Friedland

According to our database1, Lisa Friedland authored at least 15 papers between 2003 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Auditing Partisan Audience Bias within Google Search.
PACMHCI, 2018

2017
ConStance: Modeling Annotation Contexts to Improve Stance Classification.
CoRR, 2017

"Voters of the Year": 19 Voters Who Were Unintentional Election Poll Sensors on Twitter.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

ConStance: Modeling Annotation Contexts to Improve Stance Classification.
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.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013

Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events.
Proceedings of the 30th International Conference on Machine Learning, 2013

2011
Feature Extraction and Machine Learning on Symbolic Music using the music21 Toolkit.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

2010
Detecting Social Ties and Copying Events from Affiliation Data.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Anomaly Detection for Inferring Social Structure.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

2008
Joke retrieval: recognizing the same joke told differently.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Finding tribes: identifying close-knit individuals from employment patterns.
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.
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.
SIGKDD Explorations, 2003

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


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