Dragos Margineantu - Publications

o Tomas Singliar, Dragos Margineantu (2011): Scaling up Inverse Reinforcement Learning through Inducted Feature Construction, Machine Learning (Snowbird) Workshop, Ft. Lauderdale, 2011.
o Stefanie Moret, William Langford, Dragos Margineantu (2006): Learning to Predict Channel Stability using Biogeomorphic Features, Ecological Modelling, Vol. 191, Issue 1, Jan. 2006, pp. 47-57, Elsevier.
o Dragos Margineantu (2005): Active Cost-Sensitive Learning, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05.
o Dragos Margineantu, Michael Drumheller, Roman Fresnedo (2005): Testing Decision Systems with Classification Components, Proceedings of the International Joint Conference on Neural Networks, IJCNN-05.
o Dragos Margineantu (2004): Confidence-based Cost-Sensitive Classification Decisions, Proceedings of the 33rd Symposium on the Interface of Computing Science and Statistics, Baltimore, MD.
o Dragos Margineantu (2002): Class Probability Estimation and Cost-Sensitive Classification Decisions, Machine Learning: ECML 2002, Proceedings of the 13th European Conference on Machine Learning, pp.270-281, ©Springer Verlag, Lecture Notes in Artificial Intelligence, 2430. Postscript preprint.
o Dragos Margineantu, Thomas G. Dietterich (2002): Improved Class Probability Estimates from Decision Tree Models, in "Nonlinear Estimation and Classification", D.D. Denison, C.C. Holmes, M.H. Hansen, B. Mallick, and B. Yu (Eds.), ©Springer Verlag, Lecture Notes in Statistics 171. Postscript preprint.
o Dragos Margineantu, Thomas G. Dietterich (2001): Lazy Class Probability Estimators, Proceedings of the 33rd Symposium on the Interface of Computing Science and Statistics, Costa Mesa, CA.
o Dragos Margineantu, Thomas G. Dietterich (2000): Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers, Proceedings of the Seventeenth International Conference on Machine Learning (ICML-2000), pp.583-590, Morgan Kaufmann, San Francisco, CA. Postscript preprint.
o Dragos Margineantu (1999): Building Ensembles of Classifiers for Loss Minimization, Proceedings of the 31st Symposium on the Interface: Models, Prediction, and Computing, pp.190-194. Postscript preprint.
o Dragos Margineantu (1999): Applying Supervised Learning to Real-World Problems, Proceedings of the Sixteenth National Confernce on Artificial Intelligence (AAAI-99), pp.951. Presented at the SIGART/AAAI-99 Doctoral Consortium.
o Dragos Margineantu, Thomas G. Dietterich (1997): Pruning Adaptive Boosting, Proceedings of the Fourteenth International Conference on Machine Learning (ICML-97), pp.211-218, Morgan Kaufmann, San Francisco, CA. Postscript preprint.
o Daniela Crivianu-Gaita, Florin Miclea, Andrei Gaspar, Dragos Margineantu, and Stefan Holban (1997): 3D reconstruction of prostate from ultrasound images, International Journal of Medical Informatics, Vol.45, June 1997, pp.43-51, Elsevier Science.
o Dragos Margineantu (1997): Learning by using dynamic feature combination and selection, Proceedings of the IASTED/AAAI International Conference on Artificial Intelligence and Soft Computing, pp.154-156, ACTA-IASTED Press, Anaheim, CA. Postscript preprint.
o Stephane Chatre, Charles Knutson, Dragos Margineantu, Carsten Schulz-Key (1996): Improving the DLX Performance by Taking Some of the Reduction out of RISC, Proceedings of the International Conference on Technical Informatics (ConTI-96), Timisoara, Romania. Postscript preprint.
o Florin Miclea, Stefan Holban, Andrei Gaspar, Daniela Crivianu-Gaita, Dragos Margineantu (1995): Modeling and Volume Determination of the Prostate, Proceedings of the Symposium on Automatic Control and Computer Science (SACCS-95), Iasi, Romania. Postscript preprint.


Dissertation

o Dragos Margineantu (2001): Methods for Cost-Sensitive Learning, Oregon State University, Department of Computer Science (Technical Report). Postscript preprint.


Unrefereed and abstract-reviewed Publications

o Dragos Margineantu (2003): Active Cost-Sensitive Learning The Learning Workshop, 2003, Snowbird, UT.
o Dragos Margineantu (2000): On Class Probability Estimates and Cost-Sensitive Evaluation of Classifiers, Workshop on Cost-Sensitive Learning, The Seventeenth International Conference on Machine Learning (ICML-2000).
o Dragos Margineantu (2000): When Does Imbalanced Data Require more than Cost-Sensitive Learning?, Workshop on Learning from Imbalanced Data, National Conference on Artificial Intelligence (AAAI-2000).
o Dragos Margineantu, Thomas G. Dietterich (1999): Learning Decision Trees for Loss Minimization in Multi-Class Problems, Technical Report 99-30-03, Department of Computer Science, Oregon State University.
o Dragos Margineantu, Julianne Monell (1996): The equivalence of Post systems and Turing machines, TR, Oregon State University.


Invited Presentations

o Dragos Margineantu (2001): Learning Ensembles for Probability Estimation and Ranking, the Annual Conference of the Institute for Operations Research and Management Sciences (INFORMS), November 2001.
o Dragos Margineantu (1998): Issues in Applying Divide-and-Conquer Methods for Learning Real-World Problems, Neural Information Processing Systems 1998 (NIPS-98), workshop on "Learning from Ambiguous and Complex Examples".



Dragos Margineantu