2008 |
24 | | 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 |
23 | EE | Elena Zheleva,
Aleksander Kolcz,
Lise Getoor:
Trusting spam reporters: A reporter-based reputation system for email filtering.
ACM Trans. Inf. Syst. 27(1): (2008) |
22 | EE | Aleksander Kolcz,
Abdur Chowdhury:
Lexicon randomization for near-duplicate detection with I-Match.
The Journal of Supercomputing 45(3): 255-276 (2008) |
2007 |
21 | EE | Aleksander Kolcz,
Abdur Chowdhury:
Avoidance of Model Re-Induction in SVM-Based Feature Selection for Text Categorization.
IJCAI 2007: 889-894 |
20 | EE | Aleksander Kolcz,
Wen-tau Yih:
Raising the baseline for high-precision text classifiers.
KDD 2007: 400-409 |
19 | EE | Aleksander Kolcz,
Wen-tau Yih:
Site-Independent Template-Block Detection.
PKDD 2007: 152-163 |
2006 |
18 | EE | Aleksander Kolcz,
Michael Bond,
James Sargent:
The challenges of service-side personalized spam filtering: scalability and beyond.
Infoscale 2006: 21 |
2005 |
17 | EE | 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 |
16 | EE | Aleksander Kolcz:
Local sparsity control for naive Bayes with extreme misclassification costs.
KDD 2005: 128-137 |
15 | EE | Aleksander Kolcz,
Abdur Chowdhury:
Improved Naive Bayes for Extremely Skewed Misclassification Costs.
PKDD 2005: 561-568 |
14 | EE | 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 |
13 | EE | Aleksander Kolcz,
Abdur Chowdhury,
Joshua Alspector:
The Impact of Feature Selection on Signature-Driven Spam Detection.
CEAS 2004 |
12 | EE | Aleksander Kolcz,
Abdur Chowdhury,
Joshua Alspector:
Improved robustness of signature-based near-replica detection via lexicon randomization.
KDD 2004: 605-610 |
2002 |
11 | EE | Aleksander Kolcz,
Xiaomei Sun,
Jugal K. Kalita:
Efficient handling of high-dimensional feature spaces by randomized classifier ensembles.
KDD 2002: 307-313 |
10 | | Aleksander Kolcz,
Joshua Alspector:
Asymmetric Missing-data Problems: Overcoming the Lack of Negative Data in Preference Ranking.
Inf. Retr. 5(1): 5-40 (2002) |
2001 |
9 | | Aleksander Kolcz,
Vidya Prabakarmurthi,
Jugal K. Kalita:
Summarization as Feature Selection for Text Categorization.
CIKM 2001: 365-370 |
2000 |
8 | | Aleksander Kolcz:
N-tuple Network, CART, and Bagging.
Neural Computation 12(2): 293-304 (2000) |
7 | EE | Aleksander Kolcz,
Joshua Alspector,
M. Augusteijn:
A Line-Oriented Approach to Word Spotting in Handwritten Documents.
Pattern Anal. Appl. 3(2): 153-168 (2000) |
1999 |
6 | EE | Aleksander Kolcz,
Joshua Alspector:
An Internet-Based Newspaper Filtering and Personalization System (demonstration abstract).
SIGIR 1999: 332 |
5 | EE | Aleksander Kolcz,
Nigel M. Allinson:
Basis function models of the CMAC network.
Neural Networks 12(1): 107-126 (1999) |
4 | EE | Aleksander Kolcz,
Nigel M. Allinson:
The general memory neural network and its relationship with basis function architectures.
Neurocomputing 29(1-3): 57-84 (1999) |
1998 |
3 | EE | Joshua Alspector,
Aleksander Kolcz,
Nachimuthu Karunanithi:
Comparing Feature-Based and Clique-Based User Models for Movie Selection.
ACM DL 1998: 11-18 |
1997 |
2 | EE | 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 |
1 | EE | Aleksander Kolcz,
Nigel M. Allinson:
N-tuple Regression Network.
Neural Networks 9(5): 855-869 (1996) |