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    -  Approach
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      other methods

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   Authors
    -  Evgenii Vityaev
    -  Boris Kovalerchuk


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Last updated 01/02/2018

Other applications

  • William Sumner The Collapsing Universe .

  • Boris Kovalerchuk, Florian Delizy, Logan Riggs, and Evgenii Vityaev Visual Data Mining and Discovery with Binarized Vectors (Chapter 7). Data Mining: Found. & Intell. Paradigms, D.E. Holmes, L.C. Jain (Eds.), ISRL 24, Springer-Verlag Berlin Heidelberg 2011, pp. 135-156.

  • Logvinenko A. D., Byth W. and Vityaev E. E. In search of an illusive hard threshold: a test of observer's ability to order sub-threshold stimuli. Vision Research v. 44 (3), 2004, p.287-296 (preliminary version)

  • Evgenii Vityaev, Boris Kovalerchuk. Inverse Visualization in Data Mining In: Proceedings of the International Conference on Imaging Science, Systems, and Technology Eds.: Hamid R. Arabnia, Youngsong Mun, Las Vegas, Nevada, USA, June 24-27, 2002, CSREA Press, v.1, 133-138

  • Kovalerchuk, B., E. Triantaphyllou, A.S. Deshpande, E. Vityaev. Interactive Learning of Monotone Boolean Functions. Information Sciences, Vol. 94, Nos. 1-4, 1996, pp. 87-118.

  • Triantaphyllou, E., B. Kovalerchuk, and A.S. Deshpande. Some Recent Developments in Logical Analysis. In: Interfaces in Computer Science and Operations Research, Eds: R. Barr, R. Helgason, and J. Kennington (chapter 9). Kluwer Academic Publishers, 1996, pp. 215-236.

  • Kovalerchuk, B., E. Triantaphyllou, J.F. Ruiz. Monotonicity and Logical Analysis of Data: A Mechanism for the Evaluation of Mammographic and Clinical Data. In: Proceedings of the 13-th Symposium for Computer Applications in Radiology (SCAR), Denver, CO, June 6-9, 1996, pp.191-196.

  • Kovalerchuk, B., E. Triantaphyllou, J.F. Ruiz, J. Clayton. Fuzzy Logic in Digital Mammography: Analysis of Lobulation. In: Proceedings of the FUZZ-IEEE'96 International Conference, New Orleans, LA, September 8-11, Vol. 3, 1996, pp.1726-1731.

  • Kovalerchuk, B., E. Triantaphyllou, E. Vityaev. Monotone Boolean Function Learning Techniques Integrated with User Interaction. In: Proceedings of the Workshop on Learning from Examples which took place during the 12-th Inter'l Conference on Machine Learning, Lake Tahoe, CA, July 9-12, 1995, pp.41-48.