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Sofus Attila Macskássy
Sofus Attila Macskássy
Data at LinkedIn
Dirección de correo verificada de linkedin.com - Página principal
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More than words: Quantifying language to measure firms' fundamentals
PC Tetlock, M SAAR‐TSECHANSKY, S Macskassy
The Journal of Finance 63 (3), 1437-1467, 2008
28002008
Classification in networked data: A toolkit and a univariate case study
SA Macskassy, F Provost
Journal of Machine Learning Research 8 (May), 935-983, 2007
7152007
Discovering users' topics of interest on twitter: a first look
M Michelson, SA Macskassy
Proceedings of the fourth workshop on Analytics for noisy unstructured text …, 2010
5102010
A simple relational classifier
SA Macskassy, F Provost
NEW YORK UNIV NY STERN SCHOOL OF BUSINESS, 2003
3762003
Why do people retweet? anti-homophily wins the day!
SA Macskassy, M Michelson
ICWSM, 209-216, 2011
2552011
Confidence bands for ROC curves: Methods and an empirical study
S Macskassy, F Provost
Proceedings of the First Workshop on ROC Analysis in AI. August 2004., 2004
127*2004
Confidence Bands for ROC curves
S Macskassy, F Provost
Stern School of Business, New York University, 2004
1272004
ROC confidence bands: an empirical evaluation
SA Macskassy, F Provost, S Rosset
Proceedings of the 22nd international conference on Machine learning, 537-544, 2005
942005
Human Performance on Clustering Web Pages: A Preliminary Study.
SA Macskassy, A Banerjee, BD Davison, H Hirsh
KDD, 264-268, 1998
901998
Improving learning in networked data by combining explicit and mined links
SA Macskassy
PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE 22 (1), 590, 2007
692007
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
SA Macskassy
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
652009
On the Study of Social Interactions in Twitter.
SA Macskassy
ICWSM, 2012
612012
Suspicion scoring of networked entities based on guilt-by-association, collective inference, and focused data access1
SA Macskassy, F Provost
In Proc. of the First Int. Conf. on Intelligence Analysis (IA), 2005
602005
Intelligent information triage
SA Macskassy, F Provost
Proceedings of the 24th annual international ACM SIGIR conference on …, 2001
502001
Joint Inference of Multiple Label Types in Large Networks
D Chakrabarti, S Funiak, J Chang, SA Macskassy
arXiv preprint arXiv:1401.7709, 2014
402014
A brief survey of machine learning methods for classification in networked data and an application to suspicion scoring
S Macskassy, F Provost
Statistical Network Analysis: Models, Issues, and New Directions, 172-175, 2007
372007
Converting numerical classification into text classification
SA Macskassy, H Hirsh, A Banerjee, AA Dayanik
Artificial Intelligence 143 (1), 51-77, 2003
372003
Contextual linking behavior of bloggers: leveraging text mining to enable topic-based analysis
SA Macskassy
Social Network Analysis and Mining 1 (4), 355-375, 2011
222011
Relational learning problems and simple models
F Provost, C Perlich, SA Macskassy
Proceedings of the Relational Learning Workshop at IJCAI-2003 11, 2003
222003
Pointwise ROC confidence bounds: An empirical evaluation
S Macskassy, F Provost, S Rosset
212005
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Artículos 1–20