Publications

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  1. Peters, J.F., Fuzzy sets, near sets, and rough sets: Computational Intelligence Spectrum, Plenary talk, Int. Conf. on Rough Sets, Fuzzy Sets and Soft Computing, Tipura Univesity, Agartala, India, 5-7 Nov. 2009, 1-8.
  2. Peters, J.F., Henry, C., Description-Based Image Analysis in Measuring Image Resemblance, Computer Vision and Image Understanding, 2009, submitted.
  3. Henry, C., Peters, J.F., Perception based image classification, International Journal of Intelligent Computing and Cybernetics, 3 (3), 2010, 410-430, doi: 10.1108/17563781011066701, URL: http://www.emeraldinsight.com/journals.htm?articleid=1878413&show=abstract
  4. Peters, J.F., Puzio, L., Szturm, T. Measuring Nearness of Rehabilitation Hand Images with Finely-Tuned Anisotropic Wavelets. In R.S Choras, A. Zabludowski, Eds., Image Processing & Communication Challenges, Academy Publishing House EXIT, Warsaw, 2009, 342-349
  5. Ramanna, S., Meghdadi, A.H., Measuring resemblances between swarm behaviours: A perceptual tolerance near set approach. Fundamenta Informaticae 95, 2009, 533-552, doi: 10.3233/FI-2009-163.
  6. Peters, J.F., Skowron, A., Wolski, M., Chakraborty, M.K., Wu, W.-Z., Transactions on Rough Sets X, LNCS 5656, 2009, ISBN 978-3-642-03280-6, available here.
  7. Peters, J.F., Skowron, A., Stepaniuk, J., Rough Sets: Foundations and Perspectives, Encyclopedia of Complexity and Systems Science, 2009, 7787-7797, available here.
  8. Cyran, K.A., Kozielski, S., Peters, J.F., Stanczyk, U., Wakulicz-Deja, A., Man-Machine Interactions, Advances in Intelligent and Soft Computing 59, 2009, 696 pages, ISBN 9783642005626.
  9. Skowron, A., Stepaniuk, J., Peters, J.F., Swiniarski, R., Approximation Spaces Revisited, Proc. Concurrency, Specification & Programming, vol. 2, 2009, 538-549.
  10. Peters, J.F., Wasilfewski, P.: Foundations of near sets. Information Sciences. An International Journal. 2009, 179, 18, 3091-3109, digital object identifier: doi:10.1016/j.ins.2009.04.018, in press. Available here.
  11. Hassanien, A., Abraham, A., Peters, J.F., Schaefer, G., Henry, C. Rough sets and near sets in medical imaging: A review, IEEE Trans. Info. Tech. in Biomedicine,13 (6), 2009, 955-968, digital object identifier: 10.1109/TITB.2009.2017017. Available here.
  12. Peters, J.F., Puzio, L. Image analysis with anisotropic wavelet-based nearness measures. International Journal of Computational Intelligence Systems. 2009, 202, 009,3-25. doi: 10.1007/978-3-642-01533-5_1.
  13. Henry, C., Peters, J.F. Perceptual image analysis, Int. J. of Bio-Inspired Computation 2 (3-4), 2010, 271-281.
  14. Fashandi, H., Peters, J.F., Ramanna, S. L2 norm length-based image similarity measures: Concrescence of image feature histogram distances, Signal and Image Processing, (2009), 2009, 178-185, CD ISBN: 978-0-88986-803-8. http://www.actapress.com/Abstract.aspx?paperId=35262
  15. Meghdadi, A. H., Peters, J.F., Ramanna, S. Tolerance classes in measuring image resemblance, Intelligent Analysis of Images & Videos, (2009), LNAI 5712, 2009, 127-134, doi 10.1007/978-3-642-04592-9 16.
  16. Peters, J.F. Discovering Affinities Between Perceptual Granules. L2 Norm-Based Tolerance Near Preclass Approach. Advances in Man-Machine Interactions and soft Computing 59, 2009, 43-54, ISSN 1867-5662.
  17. Pattaraintakorn, P., Peters, J.F., Ramanna, S. Capacity-Based Definite Rough Integral and Its Application. Advances in Man-Machine Interactions and Soft Computing 59, 2009, 299-310, ISSN 1867-5662.
  18. Peters, J.F., Skowron, A., Rybinski, H., Eds. Transactions on Rough Sets IX, 2009, 751p, ISBN: 978-3-540-89875-7, http://www.springer.com/computer/foundations/book/978-3-540-89875-7
  19. Nguyen, H.S., Jankowski, A., Peters, J.F., Skowron, A., Stepaniuk, J., Szczuka, M. Discovery of process models from data and domain knowledge: A rough-granular approach. In: J.T. Yao, Ed. Novel Developments in Granular Computing Applications for Advanced Human Reasoning and Soft Computation. Information Science Reference, NY, 2009, ch. 3.
  20. Bhatt, R., Ramanna, S., Peters, J.F. Software defect classification: A comparative study of rough-neuro hybrid approaches with linear and non-linear SVMs. In: A. Abraham, R. Bello, R. Falcon, B.K. Tripathy, Eds., Rough Set Theory: A True Landmark in Data Analysis, Studies in Computational Intelligences 174. Springer, 2009, 213-231.
  21. Hassanien, A.E., Abraham, A., Peters, J.F. and Kacprzyk, J. Rough Sets in Medical Imaging: Foundations and Trends, Computational Intelligence in Medical Imaging: Techniques and Applications, G. Schaefer et al. (Eds.), CRC Press, USA, ISBN 978-1-4200-6059-1, Chapter 3, 2008, 47-87.
  22. Hassanien, A.E., Abraham, A., James Peters, and Schaefer, G. Computational Intelligence in Multimedia Processing: Foundations and Trends, Computational Intelligence in Multimedia Processing: Recent Advances, Aboul-Ella Hassanien et al. (Eds.), Springer Verlag, Germany, ISBN: 978-3-540-76826-5, 2008, 3-49.
  23. Hassanien, A.E., Abraham, A., James Peters, and Schaefer, G. Rough sets in medical engineering applications. Proc. 13th Online World Conference on Soft Computing in Industrial Applications, Springer Verlag, Germany, 2009, 1-8.
  24. Hassanien, A.E., Abraham, A., James Peters, and Schaefer, G. An Overview of Rough-hybrid Approaches in Image Processing, IEEE Conference on Fuzzy Systems, FUZZ IEEE-08, IEEE World Congress on Computational Intelligence, WCCI 2008, IEEE Press, USA, ISBN 978-1-4244-1819-0, 2008, 2135-2142. http://www.softcomputing.net/wcci08-aajg.pdf
  25. Fashandi, H., Henry, C., Lockery, D., Meghdadi, A.H., Peters, J.F., Ramanna, S., Shahfar, S., Shay, B., Szturm, T. Image Analysis Perspectives with Tolerance Spaces, Lattices, Perception and Near Sets. Theory and Applications. Chapter in preparation for S.K. Pal and J.F. Peters, Eds., Rough Fuzzy Image Analysis. CRC Press, 2009.