Journal Publications

• Facundo Bromberg and Dimitris Margaritis. Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation. Journal of Machine Learning Research, 10(Feb):301-340, 2009. [PDF]


• Facundo Bromberg, Dimitris Margaritis and Vasant Honavar. Efficient Markov Network Structure Discovery using Independence Tests, Journal of Artificial Intelligence Research, 2009 (in press).


• D. Margaritis and F. Bromberg. Efficient Markov Network Discovery Using Particle Filters. Computational Intelligence journal, 2009 (in press).


• Haitao Cheng, Taner Z. Sen, Andrzej Kloczkowski, Dimitris Margaritis and Robert L. Jernigan. Prediction of Protein Secondary Structure by Mining Fragments Database, Polymer, 46, 4314-4321, 2005.


• B. Moghaddam, H. Biermann and D. Margaritis. Regions-of-Interest and Spatial Layout for Content-Based Image Retrieval. Journal of Multimedia Tools and Applications, Kluwer Academic Publishers, Vol. 14, No. 3. July 2001.
  Also available as MERL technical report TR2000-35 [ps.gz] [PDF].

Journal Publications (Submitted)

• B. Patterson and D. Margaritis. A Survey of the use of Hidden Variables in Graphical Models. Under review.

Refereed Conference Publications

• P. Gandhi, F. Bromberg and D. Margaritis. Learning Markov Network Structure using Few Independence Tests. Proceedings of the Seventh SIAM International Conference on Data Mining (SDM), 24--26 April 2008. [PDF] (Copyright Society for Industrial and Applied Mathematics)


• F. Bromberg, D. Margaritis. Efficient and Robust Independence-Based Markov Network Structure Discovery. Proceedings of The Twentieth International Joint Conference on Artificial Intelligence (IJCAI), January 6-12, 2007. [PDF] (Copyright IJCAI)


• F. Bromberg, D. Margaritis and V. Honavar. Efficient Markov Network Structure Discovery from Independence Tests. Proceedings of The Sixth SIAM International Conference on Data Mining (SDM), 20-22 April 2006. [PDF] (Copyright Society for Industrial and Applied Mathematics)


• B. Patterson and D. Margaritis. Essential Hidden Variables: An Introduction. Proceedings of The Second Indian International Conference on Artificial Intelligence (IICAI), Pune, India, December 2005. [PDF]


• S. Yaramakala and D. Margaritis. Speculative Markov Blanket Discovery for Optimal Feature Selection. Proceedings of The Fifth IEEE International Conference on Data Mining (IEEE ICDM), Houston, Texas, November 2005.
  [PDF] (Copyright IEEE Computer Society)


• D. Margaritis. Distribution-Free Learning of Bayesian Network Structure in Continuous Domains. Proceedings of The Twentieth National Conference on Artificial Intelligence (AAAI), Pittsburgh, PA, July 2005.
  [PDF] (Copyright AAAI)


• D. Margaritis and S. Thrun. A Bayesian Multiresolution Independence Test for Continuous Variables. 17th Conference on Uncertainty in Artificial Intelligence (UAI), Seattle, Washington. August 2001.
  [PS | PDF]


• D. Margaritis, C. Faloutsos and S. Thrun. NetCube: A Scalable Tool for Fast Data Mining and Compression. 27th Conference on Very Large Databases (VLDB), Rome, Italy. September 2001.
  [PS | PDF]


• D. Margaritis and S. Thrun. Bayesian Network Induction via Local Neighborhoods. Advances in Neural Information Processing Systems 12 (NIPS), Denver, Colorado. December 1999.
  [BibTeX entry | PS | PDF]
  An extended version of the above is available as Technical Report CMU-CS-99-134, August 1999. [PS]


• B. Moghaddam, H. Biermann, D. Margaritis. Image Retrieval with Local and Spatial Queries. International Conference on Image Processing (ICIP), Vancouver, Canada. September 2000.
  [PS]


• D. Margaritis and S. Thrun. Learning to Locate an Object in 3D Space from a Sequence of Camera Images. International Conference on Machine Learning (ICML), Madison, Wisconsin. July 1998.
  [BibTeX entry | PS | PDF]


• S. Waldherr, S. Thrun, R. Romero, and D. Margaritis. Template-Based Recognition of Pose and Motion Gestures On a Mobile Robot. The Fifteenth National Conference on Artificial Intelligence (AAAI), Madison, Wisconsin. July 1998.
  [BibTeX entry]


• Tzi-cker Chiueh, Dimitris Margaritis, and Srinidhi Varadarajan, Design, Implementation, and Evaluation of a Parallel Image Shape Indexer. Proceedings of the Second International Conference on Visual Information Systems (Visual'97), 1997.
  [PS]


• D. Margaritis and S. Skiena. Reconstructing Strings from Substrings in Rounds. IEEE Foundations of Computer Science (FOCS), 1995.
  [PS | PDF]


• P. Stamatopoulos, D. Margaritis, C. Halatsis. Extending a Parallel CLP Language to Support the Development of Multi-agent Systems. ACM Symposium on Applied Computing (SAC'94), pp. 410-414, Phoenix, Arizona. March 1994.
  [PS | PDF]


• C. Halatsis, P. Stamatopoulos, I. Karali, C. Mourlas, D. Gouscos, D. Margaritis, C. Fouskakis, A. Kolokouris, P. Xinos, M. Reeve, A. Veron, K. Schuerman, L.-L. Li. MaTourA: Multi-agent Tourist Advisor. Proceedings of the International Conference on Information and Communications Technologies in Tourism (ENTER'94), Innsbruck, 1994.
  [PS]

Book Chapters (Refereed)

• NetCube: Fast, Approximate Database Queries using Bayesian Networks. In A. Mittal, A. Kassim and T. Tan (Eds.), Bayesian Network Technologies: Applications and Graphical Models, Idea Group Publishers, USA, in press.

Workshop Publications

• G. Baltus, D. Fox, F. Gemperle, J. Goetz, T. Hirsch, D. Margaritis, M. Montemerlo, J. Pineau, N. Roy, J. Schulte, S. Thrun. Towards Personal Service Robots for the Elderly. 2000 Workshop on Interactive Robotics and Entertainment (WIRE-2000). Pittsburgh, PA, USA. April 2000.
  [PS.GZ]


• B. Moghaddam, H. Biermann, D. Margaritis. Regions-of-Interest and Spatial Layout in Content-based Image Retrieval. European Workshop on Content-Based Multimedia Indexing (CBMI'99). Toulouse, France. October 1999.


• B. Moghaddam, H. Biermann, D. Margaritis. Defining Image Content with Multiple Regions-of-Interest. IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'99), CVPR'99. June 1999. Available as MERL Technical Report TR99-10.
  [PS]

Other Publications

• D. Margaritis. Learning Bayesian Network Model Structure from Data. Ph.D. Thesis, Department of Computer Science, Carnegie-Mellon University, May 2003.
  Avaliable as Technical Report TR-CMU-CS-03-153. [PS | PDF | BibTeX entry]