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Alek Kolcz
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Publications
- 2016
- [c29]Andrew Yates, Alek Kolcz, Nazli Goharian, Ophir Frieder:
Effects of Sampling on Twitter Trend Detection. LREC 2016 - 2014
- [c28]Praveen Bommannavar, Alek Kolcz, Anand Rajaraman:
Recall estimation for rare topic retrieval from large corpuses. IEEE BigData 2014: 825-834 - [c27]Shuang-Hong Yang, Alek Kolcz, Andy Schlaikjer, Pankaj Gupta:
Large-scale high-precision topic modeling on twitter. KDD 2014: 1907-1916 - 2012
- [c23]Jimmy Lin, Alek Kolcz:
Large-scale machine learning at twitter. SIGMOD Conference 2012: 793-804 - 2010
- [c22]Hannaneh Hajishirzi, Wen-tau Yih, Aleksander Kolcz:
Adaptive near-duplicate detection via similarity learning. SIGIR 2010: 419-426 - 2009
- [c21]Aleksander Kolcz, Gordon V. Cormack:
Genre-based decomposition of email class noise. KDD 2009: 427-436 - [c20]Gordon V. Cormack, Aleksander Kolcz:
Spam filter evaluation with imprecise ground truth. SIGIR 2009: 604-611 - 2008
- [j9]Aleksander Kolcz, Abdur Chowdhury:
Lexicon randomization for near-duplicate detection with I-Match. J. Supercomput. 45(3): 255-276 (2008) - [e1]James G. Shanahan, Sihem Amer-Yahia, Ioana Manolescu, Yi Zhang, David A. Evans, Aleksander Kolcz, Key-Sun Choi, Abdur Chowdhury:
Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, California, USA, October 26-30, 2008. ACM 2008, ISBN 978-1-59593-991-3 [contents] - 2007
- [c19]Aleksander Kolcz, Abdur Chowdhury:
Hardening Fingerprinting by Context. CEAS 2007 - [c18]Scott Yih, Robert McCann, Alek Kolcz:
Improve Spam Filtering by Detecting Gray Mail. CEAS 2007 - [c17]Aleksander Kolcz, Abdur Chowdhury:
Avoidance of Model Re-Induction in SVM-Based Feature Selection for Text Categorization. IJCAI 2007: 889-894 - [c16]Aleksander Kolcz, Wen-tau Yih:
Raising the baseline for high-precision text classifiers. KDD 2007: 400-409 - [c15]Aleksander Kolcz, Wen-tau Yih:
Site-Independent Template-Block Detection. PKDD 2007: 152-163 - 2005
- [c13]Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, David D. Lewis, Abdur Chowdhury, Aleksander Kolcz:
Improving Automatic Query Classification via Semi-Supervised Learning. ICDM 2005: 42-49 - [c11]Aleksander Kolcz, Abdur Chowdhury:
Improved Naive Bayes for Extremely Skewed Misclassification Costs. PKDD 2005: 561-568 - [c10]Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, David A. Grossman, David D. Lewis, Abdur Chowdhury, Aleksander Kolcz:
Automatic web query classification using labeled and unlabeled training data. SIGIR 2005: 581-582 - 2004
- [c9]Aleksander Kolcz, Abdur Chowdhury, Joshua Alspector:
The Impact of Feature Selection on Signature-Driven Spam Detection. CEAS 2004 - [c8]Aleksander Kolcz, Abdur Chowdhury, Joshua Alspector:
Improved robustness of signature-based near-replica detection via lexicon randomization. KDD 2004: 605-610 - 2002
- [j7]Aleksander Kolcz, Joshua Alspector:
Asymmetric Missing-data Problems: Overcoming the Lack of Negative Data in Preference Ranking. Inf. Retr. 5(1): 5-40 (2002) - 2000
- [j5]Aleksander Kolcz, Joshua Alspector, Marijke F. Augusteijn:
A Line-Oriented Approach to Word Spotting in Handwritten Documents. Pattern Anal. Appl. 3(2): 153-168 (2000) - 1999
- [c5]Aleksander Kolcz, Joshua Alspector:
An Internet-Based Newspaper Filtering and Personalization System (demonstration abstract). SIGIR 1999: 332 - 1998
- [c4]Joshua Alspector, Aleksander Kolcz, Nachimuthu Karunanithi:
Comparing Feature-Based and Clique-Based User Models for Movie Selection. ACM DL 1998: 11-18 - [c3]Aleksander Kolcz, Joshua Alspector, Marijke F. Augusteijn, Robert Carlson, George V. Popescu:
Visual keyword-based word spotting in handwritten documents. Document Recognition 1998: 185-193 - 1997
- [j2]Joshua Alspector, Aleksander Kolcz, Nachimuthu Karunanithi:
Feature-based and Clique-based User Models for Movie Selection: A Comparative Study. User Model. User Adapt. Interact. 7(4): 279-304 (1997)
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