Curriculum Vitae of Zdravko Markov
Degrees
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1991, Ph.D. in Computer Science from Sofia University. Thesis
title: A Language for Distributed Logic Programming.
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1981, M.S. in Computer Science from Sofia University.
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1979, B.S. in Mathematics from Sofia University.
Academic Experience
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2008-present: Professor, Department of Computer Science, Central
Connecticut State University
-
2001-2007: Associate Professor, Department of Computer Science,
Central Connecticut State University
-
1999-2000: Assistant Professor, Department of Computer Science,
Central Connecticut State University
-
1998-1999: Associate Professor, Faculty of Mathematics and Informatics,
University of Sofia.
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1996-1998: Associate Professor, Institute for Information
Technologies, Bulgarian Academy of Sciences.
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1989-1996: Research Scientist, Institute for Information Technologies,
Bulgarian Academy of Sciences.
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1981-1989: Research Scientist, Institute of Engineering Cybernetics
& Robotics, Bulgarian Academy of Sciences.
Teaching Experience
Undergraduate and graduate courses at CCSU
-
Undergraduate courses:
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CS 110 - Introduction to Internet Programming and Applications
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CS 113 - Introduction to Computers
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CS 161 - C programming
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CS 151 - Computer Science I
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CS 152 - Computer Science II
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CS 213 - Applications of computer programming
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CS 254 - Computer organization and assembly language programming
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CS 354 - Digital Systems Design
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CS 385 - Computer Architecture
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CS 462 - Artificial Intelligence
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HON 441, 442 (honors thesis advisor)
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Graduate courses (for the Graduate Programs in Computer Information Technology
and Data Mining)
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CS 500 - Computer Science for CIT
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CS 501 - Foundations of Computer Science
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CS 502 - Computing and Communication Technology
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CS 580 - Data Mining (CIT and Data Mining)
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CS 580 - Web Mining (CIT and Data Mining)
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CS 570 - Topics in AI: Machine Learning (CIT and Data Mining)
Courses taught at other universities
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1997/8: Machine Learning, New Bulgarian University, M.S. Program
in Cognitive Science.
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1998: Programming in Lisp and Prolog, Faculty of Mathematics & Informatics
- University of Plovdiv.
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1997/8: Prolog programming for AI, Faculty of Mathematics & Informatics
- University of Sofia.
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1993-1998: Machine Learning, Faculty of Mathematics & Informatics -
University of Sofia.
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1996-1998: Programming in Pascal, Faculty of Physics - University of Sofia.
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1994: Logic Programming, New Bulgarian University, M.S. Program in AI.
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1993/94: Machine Learning, New Bulgarian University, M.S. Program in AI.
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1992/93: AI techniques in Prolog, New Bulgarian University, M.S. Program
in AI.
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1992: Artificial Intelligence, Faculty of Mathematics and Informatics -
University of Sofia.
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1990/92: AI through Prolog, Faculty of Mathematics & Informatics -
Sofia University.
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1989/91: Programming in Prolog, Faculty of Mathematics and Informatics
- University of Sofia.
Supervising Capstone Projects in the CIT program at CCSU
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Data Mining Social Networks with WEKA, Spring-2012
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Evaluating the WEKA System for data Mining Real World Data, Fall-2010
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Data Mining for Marketing Research Data, Spring-2009
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Car Dealer System for Car Sales, Fall-2008
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Web Document Classification, Spring-2005
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SPAM Filtering System (SFS) Using Data Mining Algorithms, Spring-2004
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Content-Based Book Recommender System Using K-Nearest Neighbor Algoritm,
Spring-2002.
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Comparative Analysis of Two Data Mining Systems Weka 3.2 and Clementine
6.0, Spring-2002.
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Mining of Medical Data: Predicting the stage of Hepatitis-C Using the WEKA
3.2 Data Mining System, Fall-2002
Thesis committee member for the MS Program in Data Mining at CCSU
-
Senthil Murugan, Mining for profitable low-risk long straddle option strategies,
Fall-2012
- Paolo Carbone, Distributor Price Optimization Using Market Segmentation Progress Report, Spring-2012
-
Paolo Carbone, Distributor Price Optimization Using Market Segmentation
Progress Report, Spring-2012
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Sampson Adu-Poku, Comparing Classification Algorithms in Data Mining, Fall-2011
- Judith Spomer, Latent Semantic Analysis and Classification Modeling in Applications for Social Movement Theory, Spring-2009
- Thierry Vallaud, Estimating Potential Customer Value Using Classification of Customer Data, Fall-2009
- Donald Wedding, PhD, Extending the Data Mining Software Packages SAS Enterprise Miner and SPSS Clementine to Handle Fuzzy Cluster Membership: Implementation with Examples, Fall-2009
-
Kathleen M. Alber, Identifying Patterns of Potentially Preventable Emergency
Room Utilization by American Children – A Data Mining Approach to the Analysis
of The National Survey of Children’s Health Data, Spring-2007.
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Steven Barbee, Mining of target functions for radial nonuniformity in electrical
test measurements on semiconductor devices ("wafers"), Spring-2007.
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Rafiqul Islam, Knowledge Discovery in Microarray Data, Fall-2004
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James B. Steck, NETPIX: A Method of Feature Selection Leading to Accurate
Sentiment-Based Classification Models, Spring-2005
-
Eric Taylor, Comparing Unsupervised Multivariate Normal Cluster Results
Between Datasets and Consolidating Similar Clusters, Spring-2005
Ph.D. students
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Svetla Boytcheva, 1998/9, Sofia University, Thesis topic: Inductive Logic
Programming.
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Ivo Marinchev, 1998/9, Sofia University, Thesis topic: Proximity measures
in Machine Learning.
Visiting Fellowships
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1994 (1 month): University of Amsterdam, The Netherlands, area: Knowledge
Based Systems (TEMPUS Project)
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1993 (2 months): University of Sussex at Brighton, UK, area: Knowledge
Based Systems (TEMPUS Project)
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1992 (2 months): Free University of Brussels, Belgium, area: AI education
(TEMPUS Project)
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1988 (4 months): University of Tuebingen, Germany, area: Computer Graphics
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1985 (4 months): Technical University of Darmstadt, Germany, area:
Computer Graphics.
Programming Experience
Languages: MIPS Assembler, Pascal, VB 6.0,
VB.Net, C/C++, Java, Prolog, Lisp, HDL Verilog.
Operating Systems: MSDOS, Windows, Unix,
Linux.
Major Software Projects:
Projects & Grants
Principal investigator in:
Team member in:
-
1996-1998. TRACE (INCO-COPERNICUS Project No. 96-0138).
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1992-1995. Joint European Project "University education in AI" (TEMPUS
- JEP 1728)
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1992-1995. Joint European Project "Transfer of Knowledge-Based System Skills
to Bulgaria" (TEMPUS - JEP 1497)
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1991-1998. ESPRIT Network of Excellence in Computational Logic (COMPULOG)
Major research interests
Artificial Intelligence, Machine Learning, Data
Mining, Web Mining, Logic Programming, Inductive Logic Programming.
Program Committees & Conferences Membership
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Associate Editor, International
Journal on Artificial Intelligence Tools (IJAIT)
-
Special Track chair, The 28th International
FLAIRS Conference, May 18 - 20, 2015, Hollywood, Florida
-
PC member, The 27th International
FLAIRS Conference, May 21-23, 2014, Pensacola Beach, Florida
-
PC member, The 26rd
International FLAIRS Conference, May 22-24, 2013, St. Pete Beach, Florida
-
PC member, The
15th International Conference on Artificial Intelligence: Methodology,
Systems, Applications (AIMSA 2012), September 12-15, 2012, Varna, Bulgaria
-
PC member, The 25rd
International FLAIRS Conference, May 23-25, 2012, Marco Island, Florida
-
PC member, The 24rd
International FLAIRS Conference, May 18-20, 2011, Palm Beach, Florida
-
Co-chair, The Third International
Conference on Software, Services & Semantic Technologies (S3T), September
1-3, 2011, Bourgas, Bulgaria
-
PC member, The 23rd International
FLAIRS Conference May 19-21, 2010, Daytona Beach, Florida
-
PC member, 19th IEEE International
Conference on Tools with Artificial Intelligence (ICTAI-07)
-
Co-chair of the Special
Track on Machine Learning at FLAIRS-2007
-
Co-chair of the Special
Track on Machine Learning at FLAIRS-2006
-
Program co-chair of The
18th International FLAIRS Conference (FLAIRS-2005)
-
Co-chair of the Special
Track on Machine Learning at FLAIRS-2005
-
Program co-chair of The
17th International FLAIRS Conference (FLAIRS-2004)
-
Co-chair of the Special
Track on Machine Learning, The
17th International FLAIRS Conference (FLAIRS-2004)
-
Chair of the Special
Track on Machine Learning, The
16th International FLAIRS Conference (FLAIRS-2003)
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Chair of the Special
Track on Machine Learning, The
15th International FLAIRS Conference (FLAIRS-2002)
-
Chair of the Special
Track on Machine Learning, The
14th International FLAIRS Conference (FLAIRS-2001)
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PC member of AIMSA-98 Conference
Tutorials, Talks
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Markov, Z., Ingrid Russell, Web Document Classification Project, MLeXAI
Workshop, Sanibel Island, FL, May 18, 2009. http://www.cs.ccsu.edu/~markov/webdocproject-slides.pdf
-
Markov, Z., Ingrid Russell, An Introduction to the WEKA Data Mining System,
Workshop #5 at The 39th ACM Technical Symposium on Computer Science Education
(SIGCSE 2008), Portland, Oregon, March 12-15, 2008. Full text: http://www.cs.ccsu.edu/~markov/weka-tutorial.pdf
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Markov, Z., I. Russell. An Introduction to the WEKA Data Mining System
(tutorial), Proceedings of the 11th Annual SIGCSE Conference on Innovation
and Technology in Computer Science Education (ITiCSE06), June 26-28, 2006,
Bologna, Italy, 367. (Abstract: http://www.cs.ccsu.edu/~markov/iticse-t.pdf,
Full text: http://www.cs.ccsu.edu/~markov/weka-tutorial.pdf)
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Markov, Z. An algebraic approach to machine learning and knowledge discovery,
Mathematics Department Colloquium, CCSU, March 2000. (http://www.cs.ccsu.edu/~markov/mathcolloq2000.pdf)
Bibliography
Books, Book Chapters:
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Zdravko Markov, Relational Learning, in Seel, Norbert (Ed.), Encyclopedia
of the Sciences of Learning, Springer, 2012, ISBN: 978-1-4419-1428-6, pp.2806-2809.
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Zdravko Markov and Daniel Larose, Data Mining the Web: Uncovering Patterns
in Web Content, Structure, and Usage, Wiley, April 2007.
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Dochev, D., Ch. Dichev, Z. Markov, G. Agre. Programming in Prolog - principles
and applications, Nauka i Iskustvo, Sofia, 1989 (in Bulgarian).
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Markov, Z. Inductive Methods for Machine Learning, TEMPUS JEN 1497 &
SOFTEX, 1996 (in Bulgarian).
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Agre, G., Markov, Z., Dochev, D. Introduction to Machine Learning, TEMPUS
JEN 1497 & SOFTEX, 2001 (in Bulgarian).
International Conference, Journal Papers, Editorials:
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Zdravko Markov. MDL-based Unsupervised Attribute Ranking, Proceedings of
the 26th International Florida Artificial Intelligence Research Society
Conference (FLAIRS-26), St. Pete Beach, Florida, USA, May 22-24, 2013,
AAAI Press 2013, pp. 444-449. PDF,
FLAIRS-2013
Presentation.pdf
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Ingrid Russell, Susan Coleman, Zdravko Markov. A contextualized project-based
approach for improving student engagement and learning in AI courses, Proceedings
of Second Computer Science Education Research Conference (CSERC-12), ACM
New York, NY, USA 2012, pp. 9-15, http://dl.acm.org/citation.cfm?id=2421278&CFID=238875681&CFTOKEN=58230559.
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Darina Dicheva, Zdravko Markov and Eliza Stefanova (Editors). Third International
Conference on Software, Services and Semantic Technologies (S3T 2011),
Advances in Intelligent and Soft Computing Volume 101, Springer, 2011,
DOI: 10.1007/978-3-642-23163-6. (http://dx.doi.org/10.1007/978-3-642-23163-6)
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Ingrid Russell, Zdravko Markov, Joy Dagher: A contextualized project-based
approach for improving student engagement and learning in AI courses. ITiCSE
2011: 368
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Russell, I., Z. Markov, T. Neller, M. and S. Coleman. MLeXAI: A Project-Based
Application-Oriented Model. The ACM Transactions on Computing Education,
TOCE 10(3), 2010.
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Russell, I., Z. Markov. A Multi-Institutional Project-Centric Framework
for Teaching AI Concepts, 39th ASEE/IEEE Frontiers in Education Conference,
October 18 - 21, 2009, San Antonio, TX.
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Rus, V., Russell, I., Markov, Z. (2009). MLxEAI: Biomedical Term Classification,
The Journal of Computing Sciences in Colleges, 24(5), pages 85-92.
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Markov, Z., L. Holder, I. Jonyer, and D. Bisant (Guest Editors). Special
Issue on FLAIRS 2007: Machine Learning, Data Mining and Neural Networks,
International Journal of Artificial Intelligence Tools (IJAIT),
Vol. 17, No. 3 (June 2008).
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Wallace, S., Ingrid Russell, and Zdravko Markov, Integrating Games and
Machine Learning in the Undergraduate Computer Science Classroom, Microsoft
Academic Days on Game Development in Computer Science Education (GDCSE'08),
Aboard the Celebrity Century Cruise Ship, February 28 - March 3, 2008.
(http://www.cs.ccsu.edu/~markov/papers/gdcse08.pdf)
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Neller T., Ingrid Russell, and Zdravko Markov, Throw Down an AI Challenge,
Using AI to motivate greater participation in Computer Science, AAAI Spring
Symposium, Stanford University, March 26 - 28, 2008. (http://www.cs.ccsu.edu/~markov/papers/aaaiss08.pdf)
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Holder, L., Z. Markov and I. Russell. Advances in Knowledge Acquisition
and Representation, International Journal on Artificial Intelligence
Tools (IJAIT), Vol. 15, No. 6 (2006) 867-874. (http://www.cs.ccsu.edu/~markov/papers/ijait06.pdf)
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Russell, I., Z. Markov and L. Holder (Guest Editors). Special Issue
on FLAIRS 2005: Knowledge Acquisition and Representation, International
Journal of Artificial Intelligence Tools (IJAIT), Vol. 15, No. 6 (December
2006).
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Neller T., Clifton G.M. Presser, Ingrid Russell, Zdravko Markov. Pedagogical
Possibilities for the Dice Game Pig, Journal of Computing Sciences in
Colleges, Vol. 21, no. 6, pp. 149-161, June 2006. (http://cs.gettysburg.edu/~tneller/papers/ccscne06.pdf)
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Markov, Z., I. Russell, T. Neller, N. Zlatareva. Pedagogical Possibilities
for the N-Puzzle Problem, The procedings of the 36th Annual Frontiers in
Education Conference (FIE 2006), San Diego, California, October 28 - 31,
2006. (http://www.cs.ccsu.edu/~markov/fie06.pdf)
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Russell, I., Z. Markov, T. Neller. Teaching Al through Machine Learning
Projects, Proceedings of the 11th Annual SIGCSE Conference on Innovation
and Technology in Computer Science Education (ITiCSE06), June 26-28, 2006,
Bologna, Italy, 323. (http://www.cs.ccsu.edu/~markov/iticse-p.pdf)
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Neller T., Zdravko Markov, Ingrid Russel. Clue Deduction: Professor Plum
Teaches Logic, Proceedings of the 19th International FLAIRS Conference
(FLAIRS-2006), Melbourne Beach, Florida, May 11-13, 2006, 214-219. (http://cs.gettysburg.edu/~tneller/papers/flairs06.pdf)
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Ingrid Russell, Zdravko Markov, Lawrence B. Holder, Diane Cook: The 2005
International Florida Artificial Intelligence Research Society Conference:
A Report. AI Magazine 27(1): 109-113 (2006).
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Markov, Z., I. Russell, T. Neller, and S. Coleman. “Enhancing Undergraduate
AI Courses through Machine Learning Projects”, Proceedings of the 35th
ASEE/IEEE Frontiers in Education Conference, October 2005, Indianapolis,
IN. (http://cs.gettysburg.edu/~tneller/papers/fie05.pdf)
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Russell, I., Z. Markov, T. Neller, M. Georgiopoulos and S. Coleman. Unifying
an Introduction to Artificial Intelligence Course through Machine Learning
Laboratory Experiences, Proceedings of the 25th American Society for Engineering
Education Annual Conference and Exposition, Portland, Oregon, June 12-15,
2005, ASEE Press. (http://cs.gettysburg.edu/~tneller/papers/asee05.pdf)
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Ingrid Russell, Zdravko Markov (Editors): Proceedings of the Eighteenth
International Florida Artificial Intelligence Research Society Conference,
Clearwater Beach, Florida, USA, AAAI Press 2005.
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Ingrid Russell, Zdravko Markov, Brian Carse, Anthony G. Pipe, Lawrence
B. Holder (Editorial). International Journal of Pattern Recognition
and Artificial Intelligence (IJPRAI), Vol. 19(2): 129-132 (2005).
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Lawrence B. Holder, Ingrid Russell, Zdravko Markov, Anthony G. Pipe, Brian
Carse. Current And Future Trends In Feature Selection And Extraction For
Classification Problems, International Journal of Pattern Recognition
and Artificial Intelligence (IJPRAI), Vol. 19(2): 133-142 (2005). (http://www.cs.ccsu.edu/~markov/ijprai05.pdf)
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Zdravko Markov, Valerie Barr (Guest Editors). Special Issue on Selected
Papers from the 17-th International FLAIRS Conference (FLAIRS-2004), International
Journal of Artificial Intelligence Tools (IJAIT), Vol. 14, No. 1 &
2, February & April 2005.
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Valerie Barr, Zdravko Markov (Editors). Proceedings of the 17th International
Florida Artificial Intelligence Research Symposium Conference (FLAIRS-2004),
Miami Beach, Florida, AAAI Press 2004.
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Russell, I., Z. Markov and N. Zlatareva. Introducing Machine Learning from
an AI Perspective, Proceedings of the 13th International Conference
on Artificial Neural Networks and Neural Information Processing (ICANN/ICONIP
2003), 469-473. (http://www.cs.ccsu.edu/~markov/icann03.pdf)
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Boytcheva, S and Z. Markov. An algorithm for inducing least generalization
under relative implication, in: Proceedings of FLAIRS-2002, Pensacola,
Florida, May 14-16, 2002, AAAI Press, 2002, 322-326 (http://www.cs.ccsu.edu/~markov/flairs2002.pdf).
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Markov, Z. An algebraic approach to inductive learning, the International
Journal of Artificial Intelligence Tools (IJAIT), Vol. 10, No.1-2 (2001),
257-272. (http://www.cs.ccsu.edu/~markov/ijait01.pdf)
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Markov, Z. A lattice-based approach to hierarchical clustering, in: Proceedings
of FLAIRS-2001, Key West, Florida, May 21-23, 2001, AAAI Press, 2001, 389-393
(http://www.cs.ccsu.edu/~markov/flairs2001.pdf).
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Markov, Z. and I. Marinchev. Coverage-based semi-distance between Horn
clauses, in: S. Cerri and D. Dochev (eds.), Proceedings of AIMSA'2000,
Lecture Notes in Computer Science, Vol. 1904, Springer 2000, 331-339 (http://www.cs.ccsu.edu/~markov/aimsa2000.pdf).
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Markov, Z. and I. Marinchev. Metric-based inductive learning using semantic
height functions, in: Ramon López de Mántaras, Enric Plaza
(eds.), Proceedings of ECML-2000, Lecture Notes in Computer Science, Vol.
1810, Springer, 2000, 254-262 (http://www.cs.ccsu.edu/~markov/ecml2000.pdf).
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Markov, Z. An algebraic approach to inductive learning, in: Proceedings
of FLAIRS-2000, AAAI Press, 2000, 197-201 (http://www.cs.ccsu.edu/~markov/flairs2000.pdf).Markov,
Z. Generalization under Implication by lambda-Subsumption, in: David Page
(ed.), Proceedings of the 8th International Workshop on Inductive Logic
Programming (ILP-98), Madison, Wisconsin, USA, July 22-24, 1998, Lecture
Notes in Computer Science, Vol. 1446, Springer, 1998, 215-224.
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Agre, G., Ch. Dichev, Z. Markov. Task Editor - A Knowledge Acquisition
Tool for Task Analysis, in: P. Navrat, H. Ueno (Eds.), Knowledge-Based
Software Engineering, IOS Press, 1998, 191-194.
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Markov, Z. and N. Pelov. A framework for Inductive Learning Based on Subsumption
Lattices, in: F. Guinchiglia (ed.), Proceedings of AIMSA'98,
Lecture Notes in Artificial Intelligence, Vol.1480, Springer, 1998, 341-352.
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Markov, Z. Lambda-Subsumption and Its Application to Learning from Positive-only
Examples, in: S. Muggleton (ed.), Proceedings of the 6th International
Workshop on Inductive Logic Programming (ILP-96), Stockholm, August,
1996, Selected Papers, Lecture Notes in Artificial Intelligence, Vol.1314,
Springer, 1997, 377-396.
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Markov, Z. A Model-theoretic Approach to ILP for Learning from Positive-only
Examples, in: A. Ramsay (ed.), Artificial Intelligence: Methodology,
Systems, Applications, IOS Press, 1996, 41-50.
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Markov, Z. Inductive Logic Programming, Problems of Engineering
Cybernetic and Robotics, Vol.42, Bulgarian
Academy of Sciences, 1995, 56-65.
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Markov, Z. A Functional Approach to ILP, in: Luc De Raedt (ed.), Proceedings
of the 5th International Workshop in Inductive Logic Programming (ILP-95),
Scientific report, Department of Computer Science, K.U. Leuven, September,
1995, 267-280.
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Markov, Z. and L. Sinapova. A Framework for Network Modeling, Computers
and Artificial Intelligence, Vol.13 (1994), No.6, Bratislava, 577-593.
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Markov, Z. Dynamic Induction in Network of Relations, in: Ph. Jorrand and
V. Sgurev (Eds.), Proceedings of AIMSA'94, World Scientific, 1994,
239-246.
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Markov, Z. Relational Learning by Heuristic Evaluation of Ground Data,
in: S. Wrobel (Ed.), Proceedings of Fourth International Workshop on
Inductive Logic Programming (ILP-94), September 12- 14, 1994, Bad Honnef/Bon,
Germany, GMD-Studien Nr.237, 337-349.
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Markov, Z. Inductive Inference in Networks of Relations, in: Proceedings
of the Third International Workshop on Inductive Logic Programming (ILP-93),
April 1-3, Bled, Slovenia, 256-277.
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Sinapova, L. and Z. Markov. Grammar Representation and Parsing in a Data-Driven
Logic Programming Environment, in: Proceedings of AIMSA'92,
Artificial Intelligence V, North-Holland, 151-159.
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Markov, Z. An approach to Concept Learning Based on Term Generalization,
in: Proceeding of the 9th International Machine Learning Conference
(ML92), Aberdeen, Scotland, 1-3 July, Morgan Kaufman, San Mateo CA,
1992, 310-315.
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Markov, Z. A tool for building connectionist-like networks based on term
unification, in: M. Richter and H. Boley (eds.), Proceedings of PDK'91,
Lecture Notes in Computer Science, Vol.567, Springer-Verlag, 1991, 119-203.
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Markov, Z. and Ch. Dichev. Distributed Logic Programming, in: G. Wiggins,
C. Mellish and T. Duncan (eds.), Proceedings of the 3rd UK Annual Conference
of Logic Programming, Edinburgh, Scotland, 1991 (Workshops in Computing,
Springer-Verlag, 1991, 36-55).
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Markov, Z. An Approach to Data-Driven Learning, in: Proceedings of the
International Workshop on Fundamentals of Artificial Intelligence Research
(FAIR'91), September 8-12, 1991, Smolenice, Czechoslovakia, Lecture
Notes in Computer Science, Vol.535, Springer-Verlag, 1991, 127-140.
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Sgurev V., D. Dochev, G. Agre, Ch. Dichev, Z. Markov. Diagnostic
Expert Systems For Digital Electronics, in: Proceedings of the IFIP
TC5/WG5.3 International Conference on Artificial Intelligence in
CIM, Leningrad, April 1990, North-Holland, 1991, 220-224.
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Markov, Z. and Ch. Dichev. The Net-Clause Language - A Tool for Data-Driven
Inference, in: Logics in AI, Proceedings of European Workshop JELIA'90,
Amsterdam, The Netherlands, September 1990, Lecture Notes in Computer Science,
Vol.478, Springer-Verlag, 1991, 366-385.
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Markov, Z., L. Sinapova and Ch. Dichev. Default reasoning in a network
environment, in: Proceedings of the 9th European Conference on Artificial
Intelligence (ECAI-90), August 6-10,1990, Stockholm, Sweden, 431-436.
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Markov, Z., C. Dichev and L. Sinapova. The Net-Clause Language - a tool
for describing network models, in: Proceedings of the Eighth Canadian
Conference on AI (CSCSI-90), 23-25 May, 1990, Ottawa, Canada, 33-39.
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Markov, Z. A Framework for Network Modeling in Prolog, in: Proceedings
of IJCAI-89, Detroit, U.S.A, August 20-25, Morgan Kaufmann, 1989, 78-83.
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Dichev, Ch., G. Agre, D. Dochev, Z. Markov. Trigonometry Tutor,
in: Proceedings of the Fourth International Annual PEG Conference "Learning
with Artificial Intelligence". Uppsala, Sweden, June 16-18, 1989.
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Markov Z., Th. Risse. Prolog Based Graph Representation of Polyhedra, in:
Proceedings of AIMSA'88, North-Holland, 1988, 187-194.
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Sgurev, V., D. Dochev, Z. Markov, Ch. Dichev, G.
Agre. Knowledge representation in CAD, in: I. Plander
(ed.), Artificial Intelligence and Information-Control Systems
of Robots-87, North-Holland, 1987, 99-106.
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Sgurev, V., D. Dochev, G. Agre, Ch. Dichev, Z.
Markov. Knowledge Acquisition and Man-Machine Interface
in the DIGS Expert System, in: Proceedings of AIMSA'86, North-Holland,
1987, 281-288.
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Markov, Z., D. Dochev, Ch. Dichev, G. Agre. An Approach to
Compiling Prolog Programs, in: Proceedings of AIMSA'86,
North-Holland, 1987, 47-54.
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Messina, L.A., Z. Markov. Methodisches Evaluieren von CAD- Systemen,
Aktuelle Themen der Graphischen Datenverarbeitung, J.Enacarnacao (Hrsg.).
Springer-Verlag 1986, 277-294.
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Hubner, W., Z. Markov. GKS Based Graphics Programming in PROLOG.
Computer Graphics Forum, Vol.5, No.1. North-Holland, March 1986.
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Sgurev, V., D. Dochev, Ch. Dichev, G. Agre, Z. Markov. An approach
to building a technical diagnostic expert system. Computers
and Artificial Intelligence, Vol.5(1986), No.2, Bratislava, 103-115.
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Agre, G., V. Sgurev, D. Dochev, Ch. Dichev, Z. Markov. An implementation
of the expert system DIGS for diagnostics, Computers and Artificial
Intelligence, Vol.4(1985), No.6, Bratislava, 495-502.
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Encarnacao, J., L.A.Messina, Z. Markov. Models and Methods for Decision
Support Systems for Evaluating and Choosing CAD-Systems, in:
Preprints of IFIP W.G.5.2 Working Conference on Design
Theory for CAD, Tokyo, October 1-3, 1985, 213-230.
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Hubner, W., Z. Markov. Eine Graphik-Erweiterung fur PROLOG auf der Grundlage
von GKS, in: GI, OCG, OGI JAHRESTAGUNG 1985, September, 1985, Wien,
16-20.
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Sgurev, V., D. Dochev, Ch. Dichev, G. Agre, Z. Markov. A Domain Independent
Expert System for Technical Diagnostics, in: Proceedings of AIMSA'84,
North-Holland, 1985, 137-144.
Last updated: November 25, 2014