Software

• RIMARC (Ranking Instances by Maximizing the Area under ROC Curve). Executable Jar file.

  • H. Altay Güvenir, Murat Kurtcephe, Ranking Instances by Maximizing the Area under ROC Curve, IEEE Transactions on Knowledge and Data Engineering, Vol. 25, No. 10, (2013), pp 2356-2366.

• MAD (Maximum Area under ROC Curve Based Discretization) Readme file, Source code.

  • Murat Kurtcephe, H. Altay Güvenir, A Discretization Method Based on Maximizing the Area Under Receiver Operating Characteristic Curve, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 27, No. 1, Art. No. 1350002, (2013).

• Turkon Windows Mobile^TM 2003 Version

• Oku (Konuşma engelliler için konuşan bir program) Windows Version

• Erythemato-Squamous (Differential Diagnosis of Erythemato-Squamous Diseases) Requires Windows 95/98. Please send an email message for a copy.

  • H. A. Güvenir and N. Emeksiz, An Expert System for the Differential Diagnosis of Erythemato-Squamous Diseases, Expert Systems With Applications, Vol. 18, No. 1, (2000), pp. 43-49.

  • H. A. Güvenir, G. Demiröz and N. Ilter, Learning Differential Diagnosis of Erythemato-Squamous Diseases using Voting Feature Intervals, Artificial Intelligence in Medicine, Vol. 13, No. 3, (1998), pp. 147-165.

  • N. Emeksiz, Differential Diagnosis of Erythemato-Squamous Diseases: Machine Learning Application, Senior Project, Bilkent University, Dept. of Computer Engineering and Information Science, 1998. (postscript copy, PDF copy)

• K-NNFP (K-Nearest Neighbor on Feature Projections) Readme file and the source code.

  • H. A. Güvenir and A. Akkus, Weighted K Nearest Neighbor Classification on Feature Projections in: Proceedings of the Twelfth International Symposium on Computer and Information Sciences (ISCIS XII) S. Kuru, M.U. Caglayan and H.L. Akin (Eds.), Antalya, Turkey, (Oct. 27-29, 1997), 44-51. (postscript copy)

  • A. Akkus, and H. A. Güvenir, K Nearest Neighbor Classification on Feature Projections, in Proceedings of ICML'96, Lorenza Saitta (Ed.), Morgan Kaufmann, Bari, Italy, (3-6, July, 1996), 12-19. (postscript copy)

• CFP (Classification by Feature Partitioning) Readme file and the source code.

  • H. A. Güvenir and I. Sirin, Classification by Feature Partitioning Machine Learning, Vol. 23, (1996), pp. 47-67. (Abstract)

  • I. Sirin and H. A. Güvenir, Empirical Evaluation of the CFP Algorithm, in Proceedings of the Sixth Australian Joint Conference on Artificial Intelligence, Melbourne, Australia, C. Rowles, H. Liu, N. Foo (Eds.), World Scientific, (November, 1993), pp. 311-315. (postscript copy)

  • H. A. Güvenir and I. Sirin, Complexity of the CFP, A Method for Classification Based on Feature Partitioning, in Advances in Artificial Intelligence, LNAI Vol. 728, (Proceedings of the Third Congress of the Italian Association for Artificial Intelligence, AI*IA'93, Torino, Italy, October, 1993) P. Torasso (Ed.), Springer-Verlag, Berlin, (1993), pp. 202-207. (postscript copy)

  • H. A. Güvenir and I. Sirin, A Genetic Algorithm for Classification by Feature Partitioning, in Proceedings of the Fifth International Conference on Genetic Algorithms, S. Forrest, (Ed.), Urbana-Champaign, IL: Morgan Kaufmann, (July, 1993), 543-548. (postscript copy)

• DRIP (Drill and Practice in Turkish) MS-DOS Version or MacIntosh Version, Applet (TuSC, Turkish Sentence Constructor)

  • H. A. Guvenir, Drill and Practice for Turkish Grammar in: Proceedings of the NATO Advanced Research Workshop ``The Bridge to International Communication: Intelligent Tutoring Systems for Foreign Language Learning'', M. L. Swartz and M. Yazdani (Eds.), NATO ASI Series F: Computer and Systems Sciences, Vol. 80, Springer-Verlag, Berlin, (1992), 275-291. (Contact the author for a hard copy).
• RWM (Refinemet With Macros) Readme file and the source code.
  • H. A. Güvenir and G. W. Ernst, Learning Problem Solving Strategies Using Refinement and Macro Generation, Artificial Intelligence, Vol 44, No. 1-2, (1990), pp. 209-243.