Journal Publications

• Facundo Bromberg and Dimitris Margaritis, Improving the Reliability of Causal Discovery from Small Data Sets using Argumentation, Journal of Machine Learning Research, 2008 (accepted with minor revision).


• Haitao Cheng, Taner Z. Sen, Andrzej Kloczkowski, Dimitris Margaritis and Robert L. Jernigan. Prediction of Protein Secondary Structure by Mining Fragments Database, Polymer (Special issue in honor of Jim Mark's 70th birthday), in press.


• 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 or Under Revision)

• Facundo Bromberg, Dimitris Margaritis and Vasant Honavar. Efficient Markov Network Structure Discovery using Independence Tests, submitted to Journal of Artificial Intelligence Research.


• D. Margaritis and F. Bromberg. Efficient Markov Network Discovery Using Particle Filters. Submitted to the Computational Intelligence journal.


• B. Patterson and D. Margaritis. A Survey of the use of Hidden Variables in Graphcal Models. Submitted to the Knowledge Engineering Review journal.

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]