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Aleksander Kolcz
2010 – today
- 2012
[c20]- 2010
[c19]Hannaneh Hajishirzi, Wen-tau Yih, Aleksander Kolcz: Adaptive near-duplicate detection via similarity learning. SIGIR 2010: 419-426
[r1]
2000 – 2009
- 2009
[j12]Aleksander Kolcz, Dunja Mladenic, Wray L. Buntine, Marko Grobelnik, John Shawe-Taylor: 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, Wray L. Buntine, Marko Grobelnik, John Shawe-Taylor: Guest editors' introduction: Special Issue from ECML PKDD 2009. Machine Learning 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. Exper. 39(11): 1003-1024 (2009)
[c18]Aleksander Kolcz, Gordon V. Cormack: Genre-based decomposition of email class noise. KDD 2009: 427-436
[c17]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. The Journal of Supercomputing 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) (2008)
[e1]James G. Shanahan, Sihem Amer-Yahia, Ioana Manolescu, Yi Zhang, David A. Evans, Aleksander Kolcz, Key-Sun Choi, Abdur Chowdhury (Eds.): 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- 2007
[c16]
[c15]Aleksander Kolcz, Abdur Chowdhury: Avoidance of Model Re-Induction in SVM-Based Feature Selection for Text Categorization. IJCAI 2007: 889-894
[c14]Aleksander Kolcz, Wen-tau Yih: Raising the baseline for high-precision text classifiers. KDD 2007: 400-409
[c13]- 2006
[c12]Aleksander Kolcz, Michael Bond, James Sargent: The challenges of service-side personalized spam filtering: scalability and beyond. Infoscale 2006: 21- 2005
[c11]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
[c10]Aleksander Kolcz: Local sparsity control for naive Bayes with extreme misclassification costs. KDD 2005: 128-137
[c9]Aleksander Kolcz, Abdur Chowdhury: Improved Naive Bayes for Extremely Skewed Misclassification Costs. PKDD 2005: 561-568
[c8]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
[c7]Aleksander Kolcz, Abdur Chowdhury, Joshua Alspector: The Impact of Feature Selection on Signature-Driven Spam Detection. CEAS 2004
[c6]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)
[c5]Aleksander Kolcz, Xiaomei Sun, Jugal K. Kalita: Efficient handling of high-dimensional feature spaces by randomized classifier ensembles. KDD 2002: 307-313- 2001
[c4]Aleksander Kolcz, Vidya Prabakarmurthi, Jugal K. Kalita: Summarization as Feature Selection for Text Categorization. CIKM 2001: 365-370- 2000
[j6]
[j5]Aleksander Kolcz, Joshua Alspector, M. 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)
[c3]Aleksander Kolcz, Joshua Alspector: An Internet-Based Newspaper Filtering and Personalization System (demonstration abstract). SIGIR 1999: 332- 1998
[c2]Joshua Alspector, Aleksander Kolcz, Nachimuthu Karunanithi: Comparing Feature-Based and Clique-Based User Models for Movie Selection. ACM DL 1998: 11-18- 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)- 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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last updated on 2013-05-31 22:17 CEST by the dblp team



