Sofus A. Macskassy

According to our database, Sofus A. Macskassy authored at least 34 papers between 1997 and 2017.

Collaborative distances:

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

2017

Joint Label Inference in Networks.

Deepayan Chakrabarti, Stanislav Funiak, Jonathan Chang, Sofus A. Macskassy

J. Mach. Learn. Res., 2017

2014

Joint Inference of Multiple Label Types in Large Networks.

Deepayan Chakrabarti, Stanislav Funiak, Jonathan Chang, Sofus A. Macskassy

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Predicting Group Programming Project Performance using SVN Activity Traces.

Sen Liu, Jihie Kim, Sofus A. Macskassy

Proceedings of the 6th International Conference on Educational Data Mining, 2013

2012

Definition and Multi-Dimensional Comparative Analysis of Ad Hoc Communities in Twitter.

Sofus A. Macskassy

Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

On the Study of Social Interactions in Twitter.

Sofus A. Macskassy

Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

2011

Contextual linking behavior of bloggers: leveraging text mining to enable topic-based analysis.

Sofus A. Macskassy

Soc. Netw. Anal. Min., 2011

Materializing multi-relational databases from the web using taxonomic queries.

Matthew Michelson, Sofus A. Macskassy, Steven Minton, Lise Getoor

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

What blogs tell us about websites: a demographics study.

Matthew Michelson, Sofus A. Macskassy

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Why do People Retweet? Anti-Homophily Wins the Day!

Sofus A. Macskassy, Matthew Michelson

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web.

Steven Minton, Matthew Michelson, Kane See, Sofus A. Macskassy, Bora Gazen, Lise Getoor

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Relational Classifiers in a Non-relational World: Using Homophily to Create Relations.

Sofus A. Macskassy

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Monitoring Entities in an Uncertain World: Entity Resolution and Referential Integrity.

Steven Minton, Sofus A. Macskassy, Peter M. LaMonica, Kane See, Craig A. Knoblock, Greg Barish, Matthew Michelson, Raymond A. Liuzzi

Proceedings of the Twenty-Third Conference on Innovative Applications of Artificial Intelligence, 2011

2010

Eighth workshop on mining and learning with graphs.

Ulf Brefeld, Lise Getoor, Sofus A. Macskassy

SIGKDD Explor., 2010

An Efficient Sequential Covering Algorithm for Explaining Subsets of Data.

Matthew Michelson, Sofus A. Macskassy

Proceedings of the 2010 International Conference on Artificial Intelligence, 2010

Leveraging Contextual Information to Explore Posting and Linking Behaviors of Bloggers.

Sofus A. Macskassy

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

Discovering users' topics of interest on twitter: a first look.

Matthew Michelson, Sofus A. Macskassy

Proceedings of the Fourth Workshop on Analytics for Noisy Unstructured Text Data, 2010

Mixed-Initiative, Entity-Centric Data Aggregation using Assistopedia.

Matthew Michelson, Sofus A. Macskassy, Steven Minton

Proceedings of the Collaboratively-Built Knowledge Sources and Artificial Intelligence, 2010

2009

Using graph-based metrics with empirical risk minimization to speed up active learning on networked data.

Sofus A. Macskassy

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Workshop summary: The fourth workshop on evaluation methods for machine learning.

Chris Drummond, Nathalie Japkowicz, William Klement, Sofus A. Macskassy

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Ranking Techniques for Cluster Based Search Results in a Textual Knowledge-base.

Shefali Sharma, Sofus A. Macskassy

Proceedings of the 2009 International Conference on Artificial Intelligence, 2009

2008

Graph Mining using Graph Pattern Profiles.

Sofus A. Macskassy, Claude Nanjo

Proceedings of the 2008 International Conference on Artificial Intelligence, 2008

2007

Classification in Networked Data: A Toolkit and a Univariate Case Study.

Sofus A. Macskassy, Foster J. Provost

J. Mach. Learn. Res., 2007

AAAI-07 Workshop Reports.

Sarabjot Singh Anand, Daniel Bahls, Catherina Burghart, Mark H. Burstein, Huajun Chen, John Collins, Thomas G. Dietterich, Jon Doyle, Chris Drummond, William Elazmeh, Christopher W. Geib, Judy Goldsmith, Hans W. Guesgen, Jim Hendler, Dietmar Jannach, Nathalie Japkowicz, Ulrich Junker, Gal A. Kaminka, Alfred Kobsa, Jérôme Lang, David B. Leake, Lundy Lewis, Gerard Ligozat, Sofus A. Macskassy, Drew V. McDermott, Ted Metzler, Bamshad Mobasher, Ullas Nambiar, Zaiqing Nie, Klas Orsvärn, Barry O'Sullivan, David V. Pynadath, Jochen Renz, Rita V. Rodríguez, Thomas Roth-Berghofer, Stefan Schulz, Rudi Studer, Yimin Wang, Michael P. Wellman

AI Mag., 2007

Improving Learning in Networked Data by Combining Explicit and Mined Links.

Sofus A. Macskassy

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

A Brief Survey of Machine Learning Methods for Classification in Networked Data and an Application to Suspicion Scoring.

Sofus Attila Macskassy, Foster J. Provost

Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

2005

ROC confidence bands: an empirical evaluation.

Sofus A. Macskassy, Foster J. Provost, Saharon Rosset

Proceedings of the Machine Learning, 2005

2004

Confidence Bands for ROC Curves: Methods and an Empirical Study.

Sofus A. Macskassy, Foster J. Provost

Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004

2003

Predicting citation rates for physics papers: constructing features for an ordered probit model.

Claudia Perlich, Foster J. Provost, Sofus A. Macskassy

SIGKDD Explor., 2003

Converting numerical classification into text classification.

Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, Aynur A. Dayanik

Artif. Intell., 2003

Adding numbers to text classification.

Sofus A. Macskassy, Haym Hirsh

Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, 2003

2001

Intelligent Information Triage.

Sofus A. Macskassy, Haym Hirsh, Foster J. Provost, Ramesh Sankaranarayanan, Vasant Dhar

Proceedings of the SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001

Using Text Classifiers for Numerical Classification.

Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, Aynur A. Dayanik

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

1998

Human Performance on Clustering Web Pages: A Preliminary Study.

Sofus A. Macskassy, Arunava Banerjee, Brian D. Davison, Haym Hirsh

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

1997

Maintaining Information Resources.

Sofus A. Macskassy, Leon A. Shklar

Proceedings of the Next Generation Information Technologies and Systems (NGITS '97), Third International Workshop, Neve Ilan, Israel, June 30, 1997