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Alek Kolcz
Person information
- unicode name: Aleksander Kołcz
- affiliation: Twitter Inc, San Francisco, USA
- affiliation: Microsoft, Redmond, USA
- affiliation: AOL Research, Dulles, USA
- affiliation: Personalogy Inc, Colorado Springs, USA
- affiliation: University of Colorado at Colorado Springs, Electrical and Computer Engineering Department
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2010 – 2019
- 2017
- [r2]Aleksander Kolcz:
Text Mining for Spam Filtering. Encyclopedia of Machine Learning and Data Mining 2017: 1255-1262 - 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 - 2013
- [c26]Ramnath Balasubramanyan, Aleksander Kolcz:
"w00t! feeling great today!": chatter in Twitter: identification and prevalence. ASONAM 2013: 306-310 - [c25]Kurt Thomas, Damon McCoy, Chris Grier, Alek Kolcz, Vern Paxson:
Trafficking Fraudulent Accounts: The Role of the Underground Market in Twitter Spam and Abuse. USENIX Security Symposium 2013: 195-210 - 2012
- [c24]Aleksander Kolcz:
Large Scale Learning at Twitter. ESWC 2012: 4 - [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 - [r1]Aleksander Kolcz:
Text Mining for Spam Filtering. Encyclopedia of Machine Learning 2010: 972-978
2000 – 2009
- 2009
- [j12]Aleksander Kolcz, Dunja Mladenic
, Wray L. Buntine
Guest editors' introduction: special issue of selected papers from ECML PKDD 2009. Data Min. Knowl. Discov. 19(2): 173-175 (2009) - [j11]Aleksander Kolcz, Dunja Mladenic
Guest editors' introduction: Special Issue from ECML PKDD 2009. Mach. Learn. 76(2-3): 175-177 (2009) - [j10]Yang Song, Aleksander Kolcz, C. Lee Giles
Better Naive Bayes classification for high-precision spam detection. Softw. Pract. Exp. 39(11): 1003-1024 (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) - [j8]Elena Zheleva, Aleksander Kolcz, Lise Getoor:
Trusting spam reporters: A reporter-based reputation system for email filtering. ACM Trans. Inf. Syst. 27(1): 3:1-3:27 (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 - 2006
- [c14]Aleksander Kolcz, Michael Bond, James Sargent:
The challenges of service-side personalized spam filtering: scalability and beyond. Infoscale 2006: 21 - 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 - [c12]Aleksander Kolcz:
Local sparsity control for naive Bayes with extreme misclassification costs. KDD 2005: 128-137 - [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) - [c7]Aleksander Kolcz, Xiaomei Sun, Jugal K. Kalita:
Efficient handling of high-dimensional feature spaces by randomized classifier ensembles. KDD 2002: 307-313 - 2001
- [c6]Aleksander Kolcz, Vidya Prabakarmurthi, Jugal K. Kalita:
Summarization as Feature Selection for Text Categorization. CIKM 2001: 365-370 - 2000
- [j6]Aleksander Kolcz:
N-tuple Network, CART, and Bagging. Neural Comput. 12(2): 293-304 (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)
1990 – 1999
- 1999
- [j4]Aleksander Kolcz, Nigel M. Allinson
The general memory neural network and its relationship with basis function architectures. Neurocomputing 29(1-3): 57-84 (1999) - [j3]Aleksander Kolcz, Nigel M. Allinson
Basis function models of the CMAC network. Neural Networks 12(1): 107-126 (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) - 1996
- [j1]Aleksander Kolcz, Nigel M. Allinson
N-tuple Regression Network. Neural Networks 9(5): 855-869 (1996) - 1995
- [c2]Aleksander Kolcz, Nigel M. Allinson:
General memory neural network-extending the properties of basis networks to RAM-based architectures. ICNN 1995: 1638-1643 - 1994
- [c1]Neil J. Howard, Aleksander Kolcz, Andy M. Tyrrell, Nigel M. Allinson, Antonia J. Jones:
Zelig: A Novel Parallel Computing Machine Using Reconfigurable Logic. PDP 1994: 70-75
Coauthor Index
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