Writing

Writing

Last updated: April 1, 2021



THE POWER OF STORY

Here’s a short video I made, as a sort of ode to the power of story:

BOOKS

SHORT STORIES

ESSAYS

SCIENCE, MATH, ENGINEERING, and PHILOSOPHY ARTICLES

  • Campos, Leo, Kendall Giles, Tiffany Smith. 2021. "Tributaries on a Heraclitian River: A Collaborative Review of Joseph Pitt’s Heraclitus Redux," Social Epistemology Review and Reply Collective, 10 (5): 6-13, May, 2021, https://wp.me/p1Bfg0-5OA, ISSN 2471-9560.
  • Giles, Kendall, "Reflections on Academic Agonies and How to Avoid Them by Joseph Agassi," Social Epistemology Review and Reply Collective, 9 (12): 37-39, December, 2020, https://wp.me/p1Bfg0-5zB.
  • "Semantically Informed Machine Translation," K. Baker, S. Bethard, M. Bloodgood, R. Brown, C. Callison-Burch, Glen Coppersmith, B. Dorr, W. Filardo, Kendall Giles, A. Irvine, M. Kayser, L. Levin, J. Martineau, J. Mayfield, S. Miller, A. Phillips, A. Philpot, Christine Piatko, L. Schwartz, D. Zajic, Technical Report No. 002, Human Language Technology Center of Excellence, Johns Hopkins University, Baltimore, Maryland, January 2010.
  • "Iterative Denoising," Kendall Giles, Michael Trosset, David Marchette, Carey Priebe. Computational Statistics, 24:3, October, 2008.
  • "Disambiguation Protocols Based on Risk Simulation," Donniell Fishkind, Carey Priebe, Kendall Giles, Leslie Smith, Al Aksakalli. IEEE Transactions on Systems, Man, and Cybernetics, Part A, 37:5, 814-823, September, 2007.
  • "Iterative Denoising of Computer Network Application Traffic," Kendall Giles, David Marchette, Carey Priebe, and Don Waagen, Technical Report No. 655, Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, Maryland, November 2007.
  • "Knowledge Discovery in Computer Network Data: A Security Perspective," Kendall Giles, Ph.D. Dissertation, Johns Hopkins University, Baltimore, Maryland, October 2006.
  • "Splitting Methods for Decision Tree Induction: An Exploration of the Relative Performance of Two Entropy-Based Families," Kweku-Muata Osei-Bryson, Kendall Giles, Information Systems Frontiers Journal, 8:195-209, Springer, 2006.
  • "Fast Iterative Denoising," Kendall Giles, Michael Trosset, David Marchette, and Carey Priebe, Technical Report No. 653, Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, Maryland, December 2005.
  • "A Model of Backscatter as Escher Tessellations," Kendall Giles, David Marchette, and Carey Priebe, 2005 Proceedings of the American Statistical Association, Statistical Graphics Section and Section on Statistics in Defense and National Security [CD-ROM], Alexandria, Virginia: American Statistical Association, 2005.
  • "The Development and Exploration of Online Classifiers for Backscatter from Denial of Service Attacks," Kendall Giles, David Marchette, and Carey Priebe, 2004 Proceedings of the American Statistical Association, Statistical Computing Section [CD-ROM], Alexandria, Virginia: American Statistical Association, 2004.
  • "An Exploration of a Set of Entropy-Based Hybrid Splitting Methods for Decision Tree Induction," Kweku-Muata Osei-Bryson, Kendall Giles, Journal of Database Management, 15:3, 2004.
  • "On the Spectral Analysis of Backscatter Data," Kendall Giles, David Marchette, and Carey Priebe, 2004 Proceedings of the Hawaii International Conference on Statistics, Mathematics, and Related Fields, 2004.
  • "Exploration of a Hybrid Feature Selection Algorithm," Kweku-Muata Bryson, Kendall Giles, Boontaree Kositanurit, Journal of the Operational Research Society, 54:7, 790-797, 2003.
  • "A Backscatter Characterization of Denial of Service Attacks," Kendall Giles, David Marchette, and Carey Priebe, 2003 Proceedings of the American Statistical Association, Statistical Computing Section [CD-ROM], Alexandria, Virginia: American Statistical Association, 2003.
  • "Splitting Methods for DT Induction: A Comparison of Two Families," Kweku Bryson and Kendall Giles, Proceedings of the 2002 Americas Conference on Information Systems (AMCIS), Dallas, Texas, 2002.
  • "Attribute Discretization for Classification," Kweku Bryson and Kendall Giles, Proceedings of the 2001 Americas Conference on Information Systems (AMCIS), Boston, Massachusetts, 2001.
  • "Comparison of Two Families of Entropy-Based Classification Measures with and without Feature Selection," Kendall Giles, Kweku Bryson, Q. Weng, Proceedings of the 2001 Hawaii International Conference on System Sciences (HICSS), Wailea Maui, Hawaii, 2001.
  • "A Modularized Sensitive Skin for Motion Planning in Uncertain Environments," Dugan Um, B. Stankovic, Kendall Giles, Tony Hammond, and Vladimir Lumelsky, Proceedings of the 1998 IEEE International Conference on Robotics and Automation, Leuven, Belgium, 1998.