Stochastic Modeling/Machine Learning Publications of Kenneth Paul Baclawski

  1. K. Baclawski, M. Cerasoli and G.-C. Rota. Introduction to Probability and Random Processes. Unione Matematica Italiana. Published in Italy under the title: Introduzione alla Probabilità. (1984)
  2. K. Baclawski. An algorithm for generating random accesses. Northeastern University, College of Computer Science. (1988)
  3. K. Baclawski. A stochastic model of data access and communication. Advan. in Applied Math. 10:175-200. (1989)
  4. K. Baclawski, S. Contractor and R. Wilmot. File access patterns: self-similarity and time evolution. Northeastern University, College of Computer Science. (1989)
  5. K. Baclawski. An algorithm for generating random accesses. Northeastern University, College of Computer Science. Version 4.5. (1990)
  6. K. Baclawski. An algorithm for generating random accesses. Northeastern University, College of Computer Science. Version 4.6. (1992)
  7. K. Baclawski. TPET: A TP systems emulation tool. Northeastern University, College of Computer Science. (1992)
  8. J. Gray, P. Sundaresan, S. Englert, K. Baclawski and P. Weinberger. Algorithms for quickly generating very large synthetic databases. Digital Equipment Corporation. (1993)
  9. K. Alexander, K. Baclawski and G.-C. Rota. A stochastic interpretation of the Riemann Zeta function. Proc. Nat. Acad. Sci. 90:697-699. (January, 1993)
  10. K. Baclawski and J.E. Smith. KEYNET: Fast indexing for semantically rich information retrieval. Northeastern University, College of Computer Science. (1994) [pdf]
  11. J. Gray, P. Sundaresan, S. Englert, K. Baclawski and P. Weinberger. Quickly generating billion record synthetic databases. In Proc. ACM SIGMOD Conference, pages 243-252. (1994)
  12. K. Baclawski. Distributed Computer Database System and Method. United States Patent and Trademark Office. United States Patent No. 5,694,593. Assigned to Northeastern University, Boston. (December 2, 1997) [pdf]
  13. K. Baclawski. Distributed Computer Database System and Method. United States Patent and Trademark Office. United States Patent No. 6,192,364. Assigned to Jarg Corporation, Waltham. (February 20, 2001) [pdf]
  14. K. Baclawski. Bayesian network development. In International Workshop on Software Methodologies, Tools and Techniques, pages 18-48. Keynote address. (September, 2004) [pdf] [ppt]
  15. K. Baclawski. The Bayesian Web. The Harvard Medical School. (2004)
  16. K. Baclawski and T. Niu. Ontologies for Bioinformatics. MIT Press. (October, 2005)
  17. K. Baclawski. Probabilistic foundations of meta-analysis. Talk at the Harvard School of Public Health. (March 4, 2005) [ppt] [links]
  18. K. Baclawski. The Bayesian Web: Adding Reasoning with Uncertainty to the Semantic Web. In Bio-IT Conference. (April 4, 2006) [ppt] [links]
  19. K. Baclawski. Probability and the Web. In Probability Panel. Ontolog Forum. Member of the Panel. (March 29, 2007) [ppt] [links]
  20. K. Baclawski and T. Niu. Bioinformatics. Jaico Publishing. (2007)
  21. K. Baclawski. Introduction to Probability with R. CRC Press. (January 23, 2008)
  22. K. Baclawski. Solutions Manual for Introduction to Probability with R. CRC Press. (June, 2008)
  23. K. Baclawski. Situation Awareness and Decision Making. Ontology Summit 2015. (February 12, 2015) [pdf]
  24. K. Baclawski. Applications of Self-Awareness, Situation Awareness and Feedback Control. College of Computer and Information Science, Northeastern University. Invited presentation. (May 19, 2015) [pdf]
  25. K. Baclawski, E.S. Chan, D. Gawlick, A. Ghoneimy, K. Gross, Z.H. Liu and X. Zhang. Framework for Ontology-Driven Decision Making. Applied Ontology 12(3-4):245-273. (2017)
  26. K. Baclawski, K. Gross, E.S. Chan, D. Gawlick, A. Ghoneimy and Z.H. Liu. Self-Adaptive Dynamic Decision Making Processes. In IEEE Conference on Cognitive and Computational Aspects of Situation Management. (2017)
  27. K. Gross, K. Baclawski, E.S. Chan, D. Gawlick, A. Ghoneimy and Z.H. Liu. A Supervisory Control Loop with Prognostics for Human-in-the-Loop Decision Support and Control Applications. In IEEE Conference on Cognitive and Computational Aspects of Situation Management. (2017)
  28. K. Baclawski. Toward Combining Ontologies and Machine Learning for Improving Decision Making. In Ontology Summit 2017: AI, Learning, Reasoning, and Ontologies. (March 15, 2017) [pdf]
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General List of Publications

Categorized List of Publications