L. Dembitzer, S.Zelikovitz,
R.J.Kettler, Designing computer-based assessments: multidisciplinary findings
and student perspectives. International Journal of Educational Technology,
[S.l.], v. 4, n. 3, p. 20-31, Jan. 2018. ISSN 2476-0730. (2018)
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S.P.
Imberman, S. Zelikovitz, I. Ludwig, An
Ophthalmologist's Tool for Predicting Deterioration in Patients with
Accommodative Esotropia, , Information Technology: New Generations
(ITNG), 2013 Tenth International Conference, P 738-742, (2013) I.
Taksa I, S. Zelikovitz, A. Spink Temporal and
Contextual Evaluation of Background Knowledge Discovery for Short Text
Classification, , International Journal of Organizational and
Collective Intelligence (IJOCI), 3-3, 36-55, (2012) Y.
Liang, D. Sokol, S. Zelikovitz, S. Levitan Classification
of tandem repeats in the human genome, , International Journal of
Knowledge Discovery in Bioinformatics 3 (3), 1-21, (2012) Y.
Liang, D. Sokol, S. Zelikovitz Clustering
Tandem Repeats Via Trinucleotides, , BioDM of IEEE International
Conference on Data Mining, (2012) Taksa, Isak,
S. Zelikovitz and Amanda Spink. "Non-Topical Classification of Query
Logs Using Background Knowledge." In Machine Learning Techniques for
Adaptive Multimedia Retrieval: Technologies Applications and Perspectives,
ed. Chia-Hung Wei and Yue Li, Pages 194-212 (2011) S.
P. Imberman, I. Ludwig, and S. Zelikovitz, Using Decision Trees To Find
Patterns in a Clinical Ophthalmology Dataset, in Proceedings of the Twenty
Fourth International FLAIRS Conference, Pages 95-96 (2011) S. Zelikovitz, H. Schanker, D. Scimeca, Partners in
Science Education: an Undergraduate Experience, Seventh International
Conference on Information Technology pp.466-470, http://www.computer.org/portal/web/csdl/doi/10.1109/ITNG.2010.34(2010) D.
Sturm and S. Zelikovitz, Integrating Research Projects in CS1, Journal of
Computing Sciences in Colleges, Volume 25, Issue 6, Pages 55-59 (2010) http://portal.acm.org/citation.cfm?id=1791140 H. Schanker, D. Sturm, and S.
Zelikovitz, The Science of Computing: Concepts and Current Technologies,
Proceedings of the 2009 International Conference of ITNG, Pages 963-968, http://portal.acm.org/citation.cfm?id=1588924
IEEE Computer Society (2009) |
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I. Taksa, S. Zelikovitz, and A.
Spink, Machine learning approach to search query classification, Chapter XVI in
Handbook of Web Log Analysis, Pages 329-344, IGI Publications, (2009), http://new.igi-global.com/Bookstore/TitleDetails.aspx?TitleId=520&DetailsType=Preface S. Imberman and S. Zelikovitz, Robotics As A Component Of A General
Education Course (Using AI to Motivate Greater Participation in Computer
Science, Proceedings
of the 2008 AAAI Spring Symposium), Pages 50-54 AAAI Press (2008) |
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I. Taksa, S.
Zelikovitz, and A. Spink, Using Web
Search Logs to Identify Query Classification Terms, International
Journal of Web Information Systems, Volume 3 Issue 4 Pages 315-327 (2007) |
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S.
Imberman, R. Klibaner, and S. Zelikovitz, Student Feedback on Robotics in CS1
Robots
and Robot Venues: Resources for AI Education, Proceedings of the 2007 AAAI
Spring Symposium), Pages 65-68, AAAI Press (2007) |
I.
Taksa, S. Zelikovitz, A. Spink: Using Web Search Logs to Identify Query
Classification Terms, Fourth
International Conference on Information Technology: New Generations, Pages
469-474 (2007), http://portal.acm.org/citation.cfm?id=1262320
S.
Zelikovitz, W. W. Cohen, and H. Hirsh, Extending WHIRL with Background Knowledge for Improved
Text Classification, Information Retrieval Volume 10, Number 1 / January, 2007 Pages 35-67 (2007)
(Online version is available at: http://dx.doi.org/10.1007/s10791-006-9004-6)
S.
Zelikovitz and M. Kogan, Using
Web Searches on Important Words to Create Background Sets for LSI
Classification, Proceedings of the 19th
International FLAIRS Conference, Pages 598-603 (2006)
S.
Zelikovitz and H. Hirsh, Improving
Text Classification Using EM with Background Text, Proceedings of the 18th International FLAIRS Conference, Pages 499-505 (2005)
S.
Zelikovitz and F. Marquez, Evaluation
of Background Knowledge for Latent Semantic Indexing Classification. FLAIRS
Conference 2005: Pages 868-870 (2005)
S.
Zelikovitz and F. Marquez, Transductive
Learning for Short-Text Classification Problems using Latent Semantic Indexing,
International Journal of
Pattern Recognition and Artificial Intelligence, Volume 19, Number 2,
Pages 143-163, World Scientific Publishing Co., 2005 (draft copy available upon
request)
S. Zelikovitz and R. Hafner, Automatic
Generation of Background Knowledge to Aid Classification Proceedings
of the 17th International FLAIRS Conference (2004)
S. Zelikovitz, Transductive
LSI for Short Text Classification Problems Proceedings
of the 17th International FLAIRS Conference (2004)
S. Zelikovitz and H. Hirsh, Integrating Background Knowledge with Text
Classifiers Proceedings
of the International Joint Conference of Artificial Intelligence (2003)
S. Zelikovitz, Mining for Features to Improve
Classification Proceedings
of Machine Learning, Models, Technologies and Applications (MLMTA) (2003)
S. Zelikovitz
and H. Hirsh, Integrating Background
Knowledge into Nearest Neighbor Text Classification Proceedings
of the Sixth European Conference on Case Based Reasoning (ECCBR)(2002)
S. Zelikovitz
and H. Hirsh, Using LSI
for Text Classification in the Presence of Background Text Proceedings for the Conference on
Information and Knowledge Management (CIKM)(2001)
S. Zelikovitz
and H. Hirsh, Improving Text
Classification with LSI Using Background Knowledge IJCAI01 Workshop Notes on Text Learning:
Beyond Supervision (2001)
S. Zelikovitz
and H. Hirsh, Improving
Short Text Classification Using Unlabeled Background Knowledge In Proceedings of the Seventeenth
International Conference on Machine Learning(ICML)( 2000)