Zelig: A Novel Parallel Computing Machine Using Reconfigurable Logic. - Neil J. Howard; Aleksander Kolcz; Andy M. Tyrrell; Nigel M. Allinson; Antonia J. Jones (PDP, 1994)

General memory neural network-extending the properties of basis networks to RAM-based architectures. - Aleksander Kolcz; Nigel M. Allinson (ICNN, 1995)

N-tuple Regression Network. - Aleksander Kolcz; Nigel M. Allinson (Neural Networks, 1996)

Feature-based and Clique-based User Models for Movie Selection: A Comparative Study. - Joshua Alspector; Aleksander Kolcz; Nachimuthu Karunanithi (User Model. User Adapt. Interact., 1997)

Comparing Feature-Based and Clique-Based User Models for Movie Selection. - Joshua Alspector; Aleksander Kolcz; Nachimuthu Karunanithi (ACM DL, 1998)

Visual keyword-based word spotting in handwritten documents. - Aleksander Kolcz; Joshua Alspector; Marijke F. Augusteijn; Robert Carlson; George V. Popescu (Document Recognition, 1998)

An Internet-Based Newspaper Filtering and Personalization System (demonstration abstract). - Aleksander Kolcz; Joshua Alspector (SIGIR, 1999)

The general memory neural network and its relationship with basis function architectures. - Aleksander Kolcz; Nigel M. Allinson (Neurocomputing, 1999)

Basis function models of the CMAC network. - Aleksander Kolcz; Nigel M. Allinson (Neural Networks, 1999)

N-tuple Network, CART, and Bagging. - Aleksander Kolcz (Neural Comput., 2000)

A Line-Oriented Approach to Word Spotting in Handwritten Documents. - Aleksander Kolcz; Joshua Alspector; Marijke F. Augusteijn (Pattern Anal. Appl., 2000)

Summarization as Feature Selection for Text Categorization. - Aleksander Kolcz; Vidya Prabakarmurthi; Jugal K. Kalita (CIKM, 2001)

Efficient handling of high-dimensional feature spaces by randomized classifier ensembles. - Aleksander Kolcz; Xiaomei Sun; Jugal K. Kalita (KDD, 2002)

Asymmetric Missing-data Problems: Overcoming the Lack of Negative Data in Preference Ranking. - Aleksander Kolcz; Joshua Alspector (Inf. Retr., 2002)

The Impact of Feature Selection on Signature-Driven Spam Detection. - Aleksander Kolcz; Abdur Chowdhury; Joshua Alspector (CEAS, 2004)

Improved robustness of signature-based near-replica detection via lexicon randomization. - Aleksander Kolcz; Abdur Chowdhury; Joshua Alspector (KDD, 2004)

Improving Automatic Query Classification via Semi-Supervised Learning. - Steven M. Beitzel; Eric C. Jensen; Ophir Frieder; David D. Lewis; Abdur Chowdhury; Aleksander Kolcz (ICDM, 2005)

Local sparsity control for naive Bayes with extreme misclassification costs. - Aleksander Kolcz (KDD, 2005)

Improved Naive Bayes for Extremely Skewed Misclassification Costs. - Aleksander Kolcz; Abdur Chowdhury (PKDD, 2005)

Automatic web query classification using labeled and unlabeled training data. - Steven M. Beitzel; Eric C. Jensen; Ophir Frieder; David A. Grossman; David D. Lewis; Abdur Chowdhury; Aleksander Kolcz (SIGIR, 2005)

The challenges of service-side personalized spam filtering: scalability and beyond. - Aleksander Kolcz; Michael Bond; James Sargent (Infoscale, 2006)

Hardening Fingerprinting by Context. - Aleksander Kolcz; Abdur Chowdhury (CEAS, 2007)

Improve Spam Filtering by Detecting Gray Mail. - Scott Yih; Robert McCann; Alek Kolcz (CEAS, 2007)

Avoidance of Model Re-Induction in SVM-Based Feature Selection for Text Categorization. - Aleksander Kolcz; Abdur Chowdhury (IJCAI, 2007)

Raising the baseline for high-precision text classifiers. - Aleksander Kolcz; Wen-tau Yih (KDD, 2007)

Site-Independent Template-Block Detection. - Aleksander Kolcz; Wen-tau Yih (PKDD, 2007)

Lexicon randomization for near-duplicate detection with I-Match. - Aleksander Kolcz; Abdur Chowdhury (J. Supercomput., 2008)

Trusting spam reporters: A reporter-based reputation system for email filtering. - Elena Zheleva; Aleksander Kolcz; Lise Getoor (ACM Trans. Inf. Syst., 2008)

Genre-based decomposition of email class noise. - Aleksander Kolcz; Gordon V. Cormack (KDD, 2009)

Spam filter evaluation with imprecise ground truth. - Gordon V. Cormack; Aleksander Kolcz (SIGIR, 2009)

Guest editors' introduction: special issue of selected papers from ECML PKDD 2009. - Aleksander Kolcz; Dunja Mladenic; Wray L. Buntine; Marko Grobelnik; John Shawe-Taylor (Data Min. Knowl. Discov., 2009)

Guest editors' introduction: Special Issue from ECML PKDD 2009. - Aleksander Kolcz; Dunja Mladenic; Wray L. Buntine; Marko Grobelnik; John Shawe-Taylor (Mach. Learn., 2009)

Better Naive Bayes classification for high-precision spam detection. - Yang Song 008; Aleksander Kolcz; C. Lee Giles (Softw. Pract. Exp., 2009)

Adaptive near-duplicate detection via similarity learning. - Hannaneh Hajishirzi; Wen-tau Yih; Aleksander Kolcz (SIGIR, 2010)

Text Mining for Spam Filtering. - Aleksander Kolcz (Encyclopedia of Machine Learning, 2010)

Large Scale Learning at Twitter. - Aleksander Kolcz (ESWC, 2012)

Large-scale machine learning at twitter. - Jimmy Lin; Alek Kolcz (SIGMOD Conference, 2012)

"w00t! feeling great today!": chatter in Twitter: identification and prevalence. - Ramnath Balasubramanyan; Aleksander Kolcz (ASONAM, 2013)

Trafficking Fraudulent Accounts: The Role of the Underground Market in Twitter Spam and Abuse. - Kurt Thomas; Damon McCoy; Chris Grier; Alek Kolcz; Vern Paxson (USENIX Security Symposium, 2013)

Recall estimation for rare topic retrieval from large corpuses. - Praveen Bommannavar; Alek Kolcz; Anand Rajaraman (IEEE BigData, 2014)

Large-scale high-precision topic modeling on twitter. - Shuang-Hong Yang; Alek Kolcz; Andy Schlaikjer; Pankaj Gupta 002 (KDD, 2014)

Effects of Sampling on Twitter Trend Detection. - Andrew Yates; Alek Kolcz; Nazli Goharian; Ophir Frieder (LREC, 2016)

Text Mining for Spam Filtering. - Aleksander Kolcz (Encyclopedia of Machine Learning and Data Mining, 2017)