Search the dblp DataBase

Publications of Author

1. Aleksander Kolcz, Abdur Chowdhury, Joshua Alspector
   The Impact of Feature Selection on Signature-Driven Spam Detection. [Citation Graph (0, 0)][DBLP]
   CEAS, 2004, pp:- [Conf]
   
2. Aleksander Kolcz, Vidya Prabakarmurthi, Jugal K. Kalita
   Summarization as Feature Selection for Text Categorization. [Citation Graph (0, 0)][DBLP]
   CIKM, 2001, pp:365-370 [Conf]
   
3. Joshua Alspector, Aleksander Kolcz, Nachimuthu Karunanithi
   Comparing Feature-Based and Clique-Based User Models for Movie Selection. [Citation Graph (0, 0)][DBLP]
   ACM DL, 1998, pp:11-18 [Conf]
   
4. Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, David D. Lewis, Abdur Chowdhury, Aleksander Kolcz
   Improving Automatic Query Classification via Semi-Supervised Learning. [Citation Graph (0, 0)][DBLP]
   ICDM, 2005, pp:42-49 [Conf]
   
5. Aleksander Kolcz, Abdur Chowdhury
   Avoidance of Model Re-Induction in SVM-Based Feature Selection for Text Categorization. [Citation Graph (0, 0)][DBLP]
   IJCAI, 2007, pp:889-894 [Conf]
   
6. Aleksander Kolcz
   Local sparsity control for naive Bayes with extreme misclassification costs. [Citation Graph (0, 0)][DBLP]
   KDD, 2005, pp:128-137 [Conf]
   
7. Aleksander Kolcz, Abdur Chowdhury, Joshua Alspector
   Improved robustness of signature-based near-replica detection via lexicon randomization. [Citation Graph (0, 0)][DBLP]
   KDD, 2004, pp:605-610 [Conf]
   
8. Aleksander Kolcz, Xiaomei Sun, Jugal Kalitax
   Efficient handling of high-dimensional feature spaces by randomized classifier ensembles. [Citation Graph (0, 0)][DBLP]
   KDD, 2002, pp:307-313 [Conf]
   
9. Aleksander Kolcz, Abdur Chowdhury
   Improved Naive Bayes for Extremely Skewed Misclassification Costs. [Citation Graph (0, 0)][DBLP]
   PKDD, 2005, pp:561-568 [Conf]
   
10. 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. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2005, pp:581-582 [Conf]
    
11. Aleksander Kolcz, Joshua Alspector
    An Internet-Based Newspaper Filtering and Personalization System (demonstration abstract). [Citation Graph (0, 0)][DBLP]
    SIGIR, 1999, pp:332- [Conf]
    
12. Aleksander Kolcz, Nigel M. Allinson
    The general memory neural network and its relationship with basis function architectures. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:29, n:1-3, pp:57-84 [Journal]
    
13. Aleksander Kolcz, Joshua Alspector
    Asymmetric Missing-data Problems: Overcoming the Lack of Negative Data in Preference Ranking. [Citation Graph (0, 0)][DBLP]
    Inf. Retr., 2002, v:5, n:1, pp:5-40 [Journal]
    
14. Aleksander Kolcz
    N-tuple Network, CART, and Bagging. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:2, pp:293-304 [Journal]
    
15. Aleksander Kolcz, Nigel M. Allinson
    N-tuple Regression Network. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:5, pp:855-869 [Journal]
    
16. Aleksander Kolcz, Nigel M. Allinson
    Basis function models of the CMAC network. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:1, pp:107-126 [Journal]
    
17. Aleksander Kolcz, Joshua Alspector, M. Augusteijn
    A Line-Oriented Approach to Word Spotting in Handwritten Documents. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2000, v:3, n:2, pp:153-168 [Journal]
    
18. Joshua Alspector, Aleksander Kolcz, Nachimuthu Karunanithi
    Feature-based and Clique-based User Models for Movie Selection: A Comparative Study. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 1997, v:7, n:4, pp:279-304 [Journal]
    
19. Aleksander Kolcz, Wen-tau Yih
    Raising the baseline for high-precision text classifiers. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:400-409 [Conf]
    
20. Aleksander Kolcz, Wen-tau Yih
    Site-Independent Template-Block Detection. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:152-163 [Conf]
    
21. 
    Hardening Fingerprinting by Context. [Citation Graph (, )][DBLP]
    
    
22. 
    Genre-based decomposition of email class noise. [Citation Graph (, )][DBLP]
    
    
23. 
    Spam filter evaluation with imprecise ground truth. [Citation Graph (, )][DBLP]
    
    
24. 
    Adaptive near-duplicate detection via similarity learning. [Citation Graph (, )][DBLP]
    
    
25. 
    The challenges of service-side personalized spam filtering: scalability and beyond. [Citation Graph (, )][DBLP]
    
    
26. 
    Guest editors' introduction: special issue of selected papers from ECML PKDD 2009. [Citation Graph (, )][DBLP]