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Publications
Authors marked with one asterisk (*) are graduate students and
authors marked with two asterisks (**) are undergraduate students.
BOOK CHAPTERS
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S. Floyd*, C. Ruiz, S. A. Alvarez, J. Tseng, and G. Whalen. "Prediction of pancreatic cancer survival through automated selection of predictive models". In Biomedical Engineering Systems and Technologies. Ana Fred, Joaquim Filpe, Hugo Gamboa (eds.).
Communications in Computer and Information Science, Volume 127, pp. 29-43.
Springer. 2011. ISBN: 978-3-642-18471-0.
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S.A. Alvarez, C. Ruiz , and T. Kawato**.
More Efficient Mining over Heterogeneous Data using Neural Expert Networks.
In Multimedia Data Mining and Knowledge Discovery (V.A. Petrushin and
L. Khan, eds.)
Springer.
2007.
ISBN: 978-1-84628-436-6.
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S.A. Alvarez, C. Ruiz , and V. Dignum.
Data mining and web knowledge management.
In O. Bartenstein, U. Geske, M. Hannebauer, and O. Yoshie, editors,
Web Knowledge Management and Decision Support. Fourteenth International
Conference on Applications of Prolog, INAP 2001 Revised Papers, chapter 4,
pages 235-236. Lecture Notes in Computer Science, Vol. 2543.
Springer-Verlag, 2003.
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C. Ruiz and J. Minker.
Computing stable and partial stable models of extended disjunctive
logic programs.
In J. Dix, L.M. Pereira, and T.C. Przymusinski, editors,
Nonmonotonic Extensions of Logic Programming, pages 205-229. Lecture Notes
in Computer Science 927. Springer-Verlag, 1995.
RESEARCH ARTICLES IN JOURNALS
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S.A. Alvarez, C. Ruiz , T. Kawato**, and W. Kogel*.
Neural expert networks for faster combined collaborative and content based
recommendation.
Journal of Computational Methods in Sciences and Engineering (JCMSE).
IOS Press.
Vol. 11, N. 4, pp. 161-172. 2011.
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J. Hayward*, S. A. Alvarez, C. Ruiz, M. Sullivan, J. Tseng, and G. Whalen. "Machine Learning of Clinical Performance in a Pancreatic Cancer Database", Artificial Intelligence in Medicine, special issue on Data Mining Approaches to the Study of Disease Genes and Proteins (Sun Kim, ed.), vol. 49, issue 3, July 2010, 187-195.
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A. Varde*, E. Rundensteiner, C. Ruiz, M. Maniruzzaman and R. Sisson Jr.
LearnMet: Learning Domain-Specific Distance Metrics for Plots of Scientific
Functions.
International Journal on Multimedia Tools and Applications (MTAP).
Special Issue on Multimedia Data Mining.
Volume 35, pp. 29-53.
Springer.
2007.
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P. Laxminarayan*, S.A. Alvarez, C. Ruiz, M. Moonis.
Mining Statistically Significant Associations for Exploratory
Analysis of Human Sleep Data.
IEEE Transactions
on Information Technology in Biomedicine (TITB).
Vol. 10, N. 3, July 2006.
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W. Lin*, S.A. Alvarez, and C. Ruiz .
Efficient adaptive-support association rule mining for recommender
systems.
Data Mining and Knowledge Discovery, 6(1):83-105,
Kluwer, January 2002.
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C. Shoemaker*, M. Pungliya*, M. Sao Pedro*, C. Ruiz , S.A.
Alvarez, M. Ward, E. Ryder, and J. Krushkal.
Computational methods for single point and multipoint analysis of
genetic variants associated with a simulated complex disorder in a general
population.
Genetic Epidemiology, 21 (Suppl. 1):S738-S745, 2001.
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C. Ruiz and J. Minker.
Logic knowledge bases with two default rules.
Annals of Mathematics and Artificial Intelligence,
22(3,4):333-361, 1998.
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C. Ruiz and J. Minker.
Combining closed world assumptions with stable negation.
Fundamenta Informaticae, 32(2):163-181, Nov. 1997.
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D. Seipel, J. Minker, and C. Ruiz .
Model generation and state generation for disjunctive logic programs.
Journal of Logic Programming, 32(1):48-69, July 1997.
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J. Minker and C. Ruiz .
Semantics for disjunctive logic programs with explicit and default
negation.
Fundamenta Informaticae, 20(3/4):145-192, 1994.
Anniversary Issue edited by H. Rasiowa.
RESEARCH ARTICLES IN CONFERENCE PROCEEDINGS
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Y. Gong*, J. Beck, C. Ruiz.
"Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy."
Proc. of the 20th Conference on User Modeling, Adaptation, and Personalization
(UMAP 2012).
Montreal, Canada. July 16-20, 2012. To appear.
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F. Usher*, C. Wang*, S.A. Alvarez, C. Ruiz, and M. Moonis.
"Machine learning of human sleep patterns based on stage bout durations",
full paper (acceptance rate = 65/522 = 12.5%).
Proc. Fifth International Conference
on Health Informatics (HEALTHINF 2012), in conjunction with the Fifth
International Joint Conference on Biomedical Engineering Systems and
Technologies (BIOSTEC 2012), Vilamoura, Portugal, Feb. 1-4, 2012.
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Z. Guo*, M. Ward, E. Rundensteiner, C. Ruiz.
"Pointwise Local Pattern Exploration for Sensitivity Analysis",
(acceptance rate = 32%).
Proc. IEEE Conference on Visual Analytics Science and Technology (IEEE VAST2011).
Providence, RI, Oct. 23-28, 2011.
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A. Khasawneh*, S. A. Alvarez, C. Ruiz, S. Misra*, and M. Moonis. "EEG
and ECG Characteristics of Human Sleep Composition Types", full paper
(acceptance rate = 48/538 = 8.92%).
Proc. Fourth International Conference
on Health Informatics (HEALTHINF 2011), in conjunction with the Fourth
International Joint Conference on Biomedical Engineering Systems and
Technologies (BIOSTEC 2011), pp. 97-106, Rome, Italy, Jan. 26-29, 2011.
* Best
Paper Award *
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A. Khasawneh*, S. A. Alvarez, C. Ruiz, S. Misra*, and
M. Moonis. "Discovery of Sleep Composition Types using
Expectation-Maximization", Proc. 23rd IEEE International Symposium on
Computer-Based Medical Systems (CBMS 2010), Perth, Australia, Oct. 12-15,
2010.
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S. Floyd*, C. Ruiz, S. A. Alvarez, J. Tseng, and G. Whalen.
"Model Selection Meta-Learning for the Prognosis
of Pancreatic Cancer", full paper (acceptance rate: 46/410 = 11.2%),
Proc. Third International Conference on Health Informatics (HEALTHINF 2010),
in conjunction with the Third International Joint Conference on Biomedical
Engineering Systems and Technologies (BIOSTEC 2010), pp. 29-37.
Valencia, Spain, Jan. 2010.
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A. Bodnari**, T. Matsumura**, C. Ruiz, M.M. Murphy,
J.P. Simons, G.F. Whalen, and J.F. Tseng.
"Computationally Enhanced Medical Decision Support for Pancreatic Cancer".
In Proceedings of the 2009 American Medical Informatics Association (AMIA)
Spring Congress". Poster paper.
Orlando, FL. May 2009.
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J. Hayward*, S.A. Alvarez, C. Ruiz, M. Sullivan, J. Tseng,
and G. Whalen.
"Knowledge Discovery in Clinical Performance of Cancer Patients."
In Proceedings of the IEEE International Conference on
Bioinformatics and Biomedicine (BIBM08), pp. 51-58.
Philadelphia PA, USA. Nov. 2008.
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Z.A. Pardos*, J. Beck, C. Ruiz, and N.T. Heffernan.
"The Composition Effect: Conjunctive or Compensatory? An Analysis of
Multi-Skill Math Questions in ITS".
In Proceedings of the First International
Conference on Educational Data Mining.
Montreal, Canada. 2008.
pp. 147-156.
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Z.A. Pardos*, N.T. Heffernan, C. Ruiz, and J. Beck.
"Effective Skill Assessment Using Expectation Maximization in a Multi Network
Temporal Bayesian Network". The Young Researchers Track at the
20th International Conference on Intelligent Tutoring Systems.
Montreal, Canada. 2008.
pp. 31-40.
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D. Thakkar*, C. Ruiz, E.F. Ryder.
"Hypothesis Driven Specialization of Gene Expression Association Rules".
In Proceedings of the IEEE International Conference on Bioinformatics
and Biomedicine (BIBM2007).
pp. 48-55.
Fremont, CA. USA.
Nov. 2007.
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N. Lloyd*, N.T. Heffernan, C. Ruiz.
"Predicting Student Engagement in Intelligent Tutoring Systems Using
Teacher Expert Knowledge".
Educational Data Mining Workshop.
Held in conjunction with the 13th International Conference on Artificial
Intelligence in Education (AIED 2007).
Marina Del Rey, CA. USA.
July 2007.
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S. Floyd*, S.A. Alvarez, C. Ruiz, J. Hayward*, M. Sullivan, J. Tseng, G. Whalen.
"Improved Survival Prediction for Pancreatic Cancer using Machine Learning and
Regression".
The Society for Surgery of the Alimentary Tract (SSAT).
SSAT Track of Digestive Disease Week. Washington DC, USA. May 2007.
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J. Hayward*, S.A. Alvarez, C. Ruiz, J. Tseng, M. Sullivan, G. Whalen.
"Survival of Patients with Pancreatic Cancer Predicted using Machine
Learning Techniques".
Society of Surgical Oncology's 60th Annual Cancer Symposium.
Washington DC, USA. March 2007.
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A. Varde*, E. Rundensteiner, C. Ruiz, D. Brown, M. Maniruzzaman and
R. Sisson Jr.
"Designing Semantics-Preserving Cluster Representatives for Scientific
Input Conditions".
In Proc. of ACM Fifteenth Conference on Information and Knowledge Management
(CIKM 2006).
Washington DC, USA.
November 2006.
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A. Varde*, E. Rundensteiner, C. Ruiz, M. Maniruzzaman and
R. Sisson Jr.
"Effectiveness of Domain-Specific Cluster Representatives for Graphical
Plots".
In 3rd International ACM
SIGMOD Workshop on Information Quality in Information Systems (IQIS
2006).
Chicago, US, June 2006.
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A. Varde*, E. Rundensteiner, C. Ruiz, D. Brown, M. Maniruzzaman and
R. Sisson Jr.
"Integrating Clustering and Classification for Estimating Process Variables in
Materials Science".
In AAAI Member Abstracts and Posters Track at the
Twenty-First National Conference on Artificial Intelligence (AAAI-06),
Boston, Massachusetts.
July 16 - 20, 2006.
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A. Varde*, E. Rundensteiner, C. Ruiz, M. Maniruzzaman and R. Sisson Jr.
"Learning Semantics-Preserving Distance Metrics for Clustering Graphical Data".
In Proc. of the
Sixth International Workshop on Multimedia Data Mining (MDM/KDD2005).
Held in conjunction with the
Eleventh International Conference on Knowledge Discovery and Data Mining (KDD2005).
Chicago, IL. USA. August 2005.
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K.A. Pray*, C. Ruiz.
"Mining Expressive Temporal Associations From Complex Data".
International Conference on Machine Learning
and Data Mining MLDM'2005.
Springer Verlag. Leipzig, Germany. July 9-11, 2005.
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P. Laxminarayan*, C. Ruiz, S.A. Alvarez, M. Moonis.
"Mining Associations over Human Sleep Time Series".
18th IEEE International Symposium on
Computer-Based Medical Systems.
Dublin, Ireland, June 22-24, 2005.
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A. Varde*, E. Rundensteiner, C. Ruiz, M. Maniruzzaman and R. Sisson Jr.
"Data Mining over Graphical Results of Experiments with Domain Semantics."
ACM SIGART's 2nd International Conference on Intelligent
Computing and Information Systems ICICIS 2005.
pp. 603-611,
Cairo, Egypt, March 5-7, 2005.
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M. EL Sayed*, E.A. Rundensteiner, and C. Ruiz .
FS-Miner: Efficient and Incremental Mining of Frequent Sequence Patterns in Web
logs.
In 6th ACM International Workshop on Web Information and Data
Management (WIDM'04). pp 128-135, Washington DC, USA, November 12-13, 2004.
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J. Freyberger*, N. Heffernan, C. Ruiz.
Using Association Rules to Guide a Search for Best Fitting Transfer Models of Student Learning.
Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes.
Proc. of 7th Annual Intelligent Tutoring Systems Conference, Maceio, Brazil. 2004.
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A. Icev*, C. Ruiz , and E. Ryder.
Distance-Enhanced Association Rules for Gene Expression.
In Proc. of the
Third ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD2003).
Held in conjunction with the
Ninth International Conference on Knowledge Discovery and Data Mining (KDD2003).
pp. 34-40.
Washington DC, USA. August 2003.
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S. Alvarez, T. Kawato**, and C. Ruiz.
Mining over Loosely Coupled Data Sources using Neural Experts.
In Proc. of the
Fourth International Workshop on Multimedia Data Mining (MDM/KDD2003).
Held in conjunction with the
Ninth International Conference on Knowledge Discovery and Data Mining (KDD2003).
Washington DC, USA. August 2003.
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C. Shoemaker* and C. Ruiz .
Association rule mining algorithms for set-valued data.
In
Lecture Notes in Computer Science.
Proc. of the Fourth International Conference on Intelligent
Data Engineering and Automated Learning. Revised Papers.
Vol. 2690. g, March 2003. Lecture
Notes in Computer Science Vol. 2690. pp. 669-676. Springer-Verlag. June 2003.
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F. Tan**, B. Murphy**, D. Phu**, I. Pushee**, C. Ruiz ,
J. Krushkal, and E. Ryder.
Identifying promoter motifs and predicting gene expression patterns
in C. elegans using data mining tools.
In Proc. of the Thirteenth International C. elegans Conference,
Los Angeles, CA, June 2001.
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C. Ruiz .
Deductive database integration and knowledge discovery.
In Proc. Thirteenth International Conference on Applications of
Prolog, Tokyo, Japan, Oct. 2000.
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M. Sao Pedro*, C. Shoemaker*, M. Pungliya*, C. Ruiz ,
S.A. Alvarez, M. Ward, M. Stevens, E. Ryder, and J. Krushkal.
Computational population-based techniques in identifying genetic
variants associated with simulated complex disorder in a general population.
In Proc. of the Twelfth Genetic Analysis Workshop (GAW12),
pages 415-419. Southwest Foundation for Biomedical Research, Oct. 2000.
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C. Shoemaker*, M. Sao Pedro*, S.A. Alvarez, and C. Ruiz .
Prediction vs. description: Two data mining approaches to the
analysis of genetic data.
In Proc. of the Twelfth Genetic Analysis Workshop (GAW12),
pages 449-453. Southwest Foundation for Biomedical Research, Oct. 2000.
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W. Lin*, S.A. Alvarez, and C. Ruiz .
Collaborative recommendation via adaptive association rule mining.
In R. Kohavi, M. Spiliopoulou, and J. Srivastava, editors, Proc.
Intl. Workshop on Web Mining for E-Commerce (WebKDD2000). In conjunction with
the Sixth Conference on Knowledge Discovery in Databases (KDD'2000), pages
35-41, Aug. 2000.
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D. Seipel, J. Minker, and C. Ruiz .
A characterization of the partial stable models for disjunctive
databases.
In J. Maluszynski, editor, Proceedings of the Fourteenth
International Logic Programming Symposium (ILPS'97), pages 245-259. MIT
Press, Cambridge, Mass., Oct. 1997.
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J. Aronis, C. Ruiz , and B. Buchanan.
Knowledge and data integration for discovery.
In Proceedings of the Workshop on Research and Development
Opportunities in Federal Information Services, May 1997.
Arlington, VA.
( http://www.isi.edu/nsf/).
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J. Minker and C. Ruiz .
Mixing a default rule with stable negation.
In Proceedings of the Fourth International Symposium on
Artificial Intelligence and Mathematics, pages 122-125, Jan. 1996.
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J. Minker and C. Ruiz .
On extended disjunctive logic programs.
In J. Komorowski and Z.W. Ras, editors, Proceedings of the
Seventh International Symposium on Methodologies for Intelligent Systems,
ISMIS'93, pages 1-18. Lecture Notes in AI. Springer-Verlag, June 1993.
EDITOR OF CONFERENCE PROCEEDINGS
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U. Geske, C. Ruiz , and D. Seipel, editors.
Proceedings of the Seventh International Workshop on Deductive
Databases and Logic Programming DDLP'99, Tokyo, Japan, September 1999. GMD
- German National Research Center for Information Technology.
Included also in the Proceedings of the International Conference on
Applications of Prolog (INAP99).
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P. Fraternali, U. Geske, C. Ruiz , and D. Seipel, editors.
Proceedings of the Sixth International Workshop on Deductive
Databases and Logic Programming DDLP'98, Manchester, UK, June 1998. GMD -
German National Research Center for Information Technology.
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U. Geske, C. Ruiz , and D. Seipel, editors.
Proceedings of the Fifth International Workshop on Deductive
Databases and Logic Programming DDLP'97, Leuven, Belgium, July 1997. GMD -
German National Research Center for Information Technology.
ISBN 3-88457-317-9. July 1997.
THESES
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C. Ruiz.
"Semantics of Knowledge Based Systems with Multiple Forms of Negation".
Ph.D. thesis, Department of Computer Science.
University of Maryland, College Park, MD. 20742.
August 1996.
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C. Ruiz.
"Manta 2: An abstract data types manager".
Master's thesis, Department of Computer Science. University of
Los Andes. Bogotá, Colombia, 1990.
(In Spanish).
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C. Ruiz.
"Automata topoi".
BS Thesis. Department of Mathematics. University of Los Andes.
Bogotá, Colombia, 1989.
(In Spanish).
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C. Ruiz.
"An implementation of the Boyer and Moore theorem prover".
BS Thesis. Department of Computer Science. University of Los Andes.
Bogotá, Colombia, 1988.
(In Spanish).
FUNDING
- Co-PI in NSF grant NSF-DRL#0733286
"ASSISTments Meets Inquiry"
$1,498,428, Sept. 1, 2007 - Aug. 31, 2012.
PI: Janice Gobert
- Senior Personnel in NSF grant NSF#0742503
PIMSE: A GK-12 Partnership Implementing Mathematics and Science Education (PIMSE): Assisting Middle School Use of Tutoring Technology in the Classroom
$2,090,700,
May 15, 2008 - April 30, 2013.
PI: Neil Heffernan
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