Boleslaw K. Szymanski

The publications below are presented in the electronic format for the purpose of non-commercial dissemination of scientific information. Their availability does not imply that any of their authors relinquish their copyrights. The papers may be copied for scholarly, but not commercial purposes, provided that the authors' copyrights are respected.

Most Recent Papers

Wireless and Sensor Network Papers

Network Papers

Computer and Network Security Papers

  • Synergistic Classifier Fusion for Security Applications

    P.F. Evangelista, M.J. Embrechts and B.K. Szymanski

    Proc. Interservice/Industry Training, Simulation & Education Conference I/ITSEC 2007 Orlando, FL, November 2007.

  • Distributed Computing Papers

    LocalWords: Voronoi

    Parallel Programming Papers

    Parallel Discrete Simulation Papers

    Ecological Simulation and Modeling Papers

    Machine Learning Papers

  • Selecting Scientific Papers for Publication via Citation Auctions

    J.L. de la Rosa and B.K. Szymanski

    IEEE Intelligent Systems vol. 22, no. 6, Nov/Dec. 2007, pp. 22-26.

  • Citation Auctions as a Method to Improve Selection of Scientific Papers

    J. L. de la Rosa and B.K. Szymanski

    Proc. Second Int. Conference on Digital Information Management, ICDIM'07 Lyon, France, October, 2007, IEEE Computer Society Press, Los Alamitos, CA, 2007, pp. 479-486.

  • Some Properties of the Gaussian Kernel for One Class Learning

    P. Evangelista, M. Embrechts and B.K. Szymanski

    Proc. Int. Conference on Artificial Neural Networks, ICANN07 Proto, Portugal, September 9-13, 2007, Lecture Notes in Computer Science, vol. 4668, Part I, Springer, Berlin, Germany, 2007, pp. 269-278.

  • Using Efficient Supanova Kernel For Heart Disease Diagnosis

    B. Szymanski, L. Han, M. Embrechts, A. Ross, K. Sternickel, and L. Zhu

    Proc. ANNIE06, Intelligent Engineering Systems Through Artificial Neural Networks, St. Louis, MO, November, 2006, vol. 16, ASME, New York, NY, pp. 305-310.

  • VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequences

    B. Bouqata, C. Carothers, B. Szymanski and M. Zaki,

    Proc. 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September, 2006, LCNS vol. 4213, Springer, Berlin/Heidelberg, pp. 42-54, 2006.

  • A Computationally Efficient SUPANOVA: Spline Kernel Based Machine Learning Tool,

    B.K. Szymanski, L. Zhu, H. Long, M.J. Embrechts, A. Ross and K. Sternickel,

    Proc. 11th Online World Conference on Soft Computing in Industrial Applications, September-October, 2006, in Industrial Applications Recent and Emerging Methods and Techniques, Series: Advances in Soft Computing , Vol. 39, Saad, A.; Avineri, E.; Dahal, K.; Sarfraz, M.; Roy, R. (Eds.), Springer, Berlin, 2007, pp.144-155.

  • Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions

    P.F. Evangelista, M.J. Embrechts, P. Bonnisone, and B.K. Szymanski

    Proc. International Joint Conference on Neural Networks 2006, Vancuver, Canada, July 2006.

  • Random Forests Feature Selection with Kernel Partial Least Squares: Detecting Ischemia from MagnetoCardiograms

    L. Han, M.J. Embrechts, B.K. Szymanski, K. Sternickel and A. Ross

    Proc. European Symposium on Artificial Neural Networks, Burges, Belgium, April, 2006, pp. 221-226.

  • A day in the life of a metamorphic petrologist

    S. Adali, B. Bouqata, A. Marcus, F. Spear, and B.K. Szymanski

    Proc. 3rd International Workshop on Semantic Web and Databases (SWDB'06), Atlanta, GA, April, 2006.

  • Taming the Curse of Dimensionality in Kernels and Novelty Detection

    P.F. Evangelista, M.J. Embrechts, and B.K. Szymanski

    Applied Soft Computing Technologies: The Challenge of Complexity, Abraham, A.; Baets, B.d.; Koppen, M.; Nickolay, B. (Eds.), Springer Verlag, Berlin, 2006.

  • Fuzzy ROC Curves for Unsupervised Nonparametric Ensemble Techniques

    P.F. Evangelista, M.J. Embrechts, P. Bonnisone, and B.K. Szymanski

    Proc. International Joint Conference on Neural Networks 2005, Montreal, Canada, August 2005.

  • Introduction to Scientific Data Mining

    M. Embrechts, B. Szymanski and K. Sternickel

    Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing, Wiley, New York, 2005, pp. 317-365.

  • Use of Machine Learning for Classification of Magnetocardiograms

    M. Embrechts, B. Szymanski, K. Sternickel, T. Naenna, and R. Bragaspathi

    Proc. IEEE Conference on System, Man and Cybernetics, Washington DC, October 2003, pp. 1400-1405.

  • Efficient and Inefficient Ant Coverage Methods

    S. Koenig, B.K. Szymanski and Y. Liu

    Annals of Mathematics and Artificial Intelligence, vol. 31, no. 1-4, May 2001, pp. 41-76.

  • Conceptor: a model of selected consciousness features including emergence of basic speech structures in early childhood

    K. Fialkowski and B. Szymanski

    Art, Technology, Consciousness mind@large, Intellect Press, Bristol, U.K., 2000, pp. 185-190.

  • Conceptor: A Model of Emergence of Basic Speech Structures in Early Childhood as a Part of Consciousness Development

    K. Fialkowski and B. Szymanski

    Proc. Consciousness Reframed 3, Newport, U.K., August 23-27, 2000, University of Wales College Press, 2000.

  • Value-Update Rules for Real-Time Search

    S. Koenig and B.K. Szymanski

    Proc. National Conference on Artificial Intelligence (AAAI), Orlando, FL, July 1999, pp. 718-724.

  • Complexity of Node Counting on Undirected Graphs

    B.K. Szymanski and S. Koenig

    Technical Report CS 98-02, Department of Computer Science, RPI, 1998.