Algorithms Publications of Kenneth Paul Baclawski
 1. K. Baclawski. Combinatorial Algorithms for Young Tableaux. Available on request. University of California, San Diego. (1980)
 2. K. Baclawski. Algorithms for Young Tableaux. University of California, San Diego. (1980)
 3. K. Baclawski. Rings with lexicographic straightening law. Advan. in Math. 39(2):185213. (1981) [pdf]
 4. K. Baclawski. Lexicographic straightening algorithms. Haverford College. (1981)
 5. K. Baclawski. Recursive algorithms for unitary and symplectic group representations. SIAM J. Alg. Disc. Meth. 3:592605. (1982)
 6. K. Baclawski. Algorithms for unitary and symplectic group representations. Haverford College. (1982)
 7. K. Baclawski. Character generators of unitary and symplectic groups. J. Math. Phys. 24:16881694. (1983)
 8. K. Baclawski. Algorithms for character generators for unitary and symplectic groups. Haverford College. (1983)
 9. K. Baclawski and J. Towber. The shapealgebra and standard bases for G_{2}. Amer. J. Math. 106:11071134. (1984)
 10. K. Baclawski. A new rule for computing ClebschGordan series. Advan. in Applied Math. 5:416432. (1984)
 11. K. Baclawski and J. Towber. Algorithms for G_{2} representations. Massachusetts Institute of Technology. (1984)
 12. K. Baclawski. Algorithms for computing ClebschGordan series. Massachusetts Institute of Technology. (1984)
 13. K. Baclawski. A note on ClebschGordan series. Advan. in Applied Math. 7:381384. (1986)
 14. K. Baclawski. An algorithm for generating random accesses. Northeastern University, College of Computer Science. (1988)
 15. K. Baclawski. An algorithm for generating random accesses. Northeastern University, College of Computer Science. (1990)
 16. K. Baclawski. Algorithms for constructing panoramas. Northeastern University. (1991)
 17. K. Baclawski. An algorithm for generating random accesses. Northeastern University, College of Computer Science. (1992)
 18. J. Gray, P. Sundaresan, S. Englert, K. Baclawski and P. Weinberger. Algorithms for quickly generating very large synthetic databases. Digital Equipment Corporation. (1993)
 19. K. Baclawski. A combinatorial proof of a fixed point property. J. of Combin. Theory Ser. A 119(5):9941013. (July 2012) [pdf]
 20. K. Baclawski. Hierarchical Access Language (HAL). (2019) [HAL jar file]
 21. E. Wetherbee, K. Baclawski, G. Wang, K. Gross, A. Chystiakova, D. Gawlick, Z. Liu and P. Sonderegger. System and Method for Ensuring that the Results of Machine Learning Models can be Audited. United States Patent and Trademark Office. (April 2, 2024) [pdf]
 22. M. Liu, P. Sonderegger, K. Baclawski, D. Gawlick, A. Chystiakova, G. Wang, Z.H. Liu, H. Balasubramanian and K.C. Gross. Optimizing a PrognosticSurveillance System to Achieve a UserSelectable Functional Objective. United States Patent and Trademark Office. (February 2, 2023) [pdf]
 23. J. Courtney, K. Baclawski, D. Gawlick, K.C. Gross, G. Wang, A. Chystiakova, P. Sonderegger and Z.H. Liu. Machine Learning TracebackEnabled Decision Rationales as Models for Explainability. United States Patent and Trademark Office. (July 28, 2022) [pdf]
 24. J. Rohrkemper, P. Sonderegger, A. Chystiakova, K. Baclawski, D. Gawlick, K.C. Gross, Z. Liu and G. Wang. Root Cause Analysis for Deterministic Machine Learning Model. United States Patent and Trademark Office. (March 2, 2023) [pdf]
 25. J. Rohrkemper, K. Baclawski, D. Gawlick, K.C. Gross, G. Wang, A. Chystiakova, P. Sonderegger and Z. Liu. Recommendation Generation Using Machine Learning Data Validation. United States Patent and Trademark Office. (May 18, 2023) [pdf]
 26. K. Baclawski. Finding Transition Points: Zero Crossings, Maxima, Minima and Inflections. J. Wash. Acad. Sci. 108(4):4558. (2023)
 27. P. Sonderegger, K. Baclawski, G. Wang, A. Chystiakova, D. Gawlick, Z.H. Liu and K.C. Gross. Automatically adapting a prognosticsurveillance system to account for agerelated changes in monitored assets. United States Patent and Trademark Office. (October 10, 2023) [pdf]
 28. K. Baclawski, D. Gawlick, K.C. Gross and Z.H. Liu. PrognosticSurveillance Technique that Dynamically Adapts to Evolving Characteristics of a Monitored Asset. United States Patent and Trademark Office. (October 24, 2023) [pdf]
 29. M. Gerdes, K. Baclawski, D. Gawlick, K.C. Gross, G. Wang, A. Chystiakova, P. Sonderegger and Z.H. Liu. Dependency Checking for Machine Learning Models. United States Patent and Trademark Office. (November 23, 2023) [pdf]
 30. K. Ru, K. Baclawski, P. Sonderegger, D. Gawlick, A. Chystiakova, G. Wang, M. Gerdes and K.C. Gross. Bias Detection in Machine Learning Tools. United States Patent and Trademark Office. (August 1, 2024) [pdf]
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