Aleksander Kolcz Vis

*	2009
28	EE	Aleksander Kolcz, Gordon V. Cormack: Genre-based decomposition of email class noise. KDD 2009: 427-436
27	EE	Gordon V. Cormack, Aleksander Kolcz: Spam filter evaluation with imprecise ground truth. SIGIR 2009: 604-611
26	EE	Yang Song, Aleksander Kolcz, C. Lee Giles: Better Naive Bayes classification for high-precision spam detection. Softw., Pract. Exper. 39(11): 1003-1024 (2009)
	2008
25		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
24	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)
23	EE	Aleksander Kolcz, Abdur Chowdhury: Lexicon randomization for near-duplicate detection with I-Match. The Journal of Supercomputing 45(3): 255-276 (2008)
	2007
22	EE	Aleksander Kolcz, Abdur Chowdhury: Hardening Fingerprinting by Context. CEAS 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)

Coauthor Index

1	Nigel M. Allinson	[1] [4] [5]
2	Joshua Alspector	[2] [3] [6] [7] [10] [12] [13]
3	Sihem Amer-Yahia	[25]
4	M. Augusteijn	[7]
5	Steven M. Beitzel	[14] [17]
6	Michael Bond	[18]
7	Key-Sun Choi	[25]
8	Abdur Chowdhury	[12] [13] [14] [15] [17] [21] [22] [23] [25]
9	Gordon V. Cormack	[27] [28]
10	David A. Evans	[25]
11	Ophir Frieder	[14] [17]
12	Lise Getoor	[24]
13	C. Lee Giles (Clyde Lee Giles)	[26]
14	David A. Grossman	[14]
15	Eric C. Jensen	[14] [17]
16	Jugal K. Kalita	[9] [11]
17	Nachimuthu Karunanithi	[2] [3]
18	David D. Lewis	[14] [17]
19	Ioana Manolescu	[25]
20	Vidya Prabakarmurthi	[9]
21	James Sargent	[18]
22	James G. Shanahan	[25]
23	Yang Song	[26]
24	Xiaomei Sun	[11]
25	Wen-tau Yih	[19] [20]
26	Yi Zhang	[25]
27	Elena Zheleva	[24]

Colors in the list of coauthors