Publications and Presentations

• Gosha, K., Paxton, J., and Peyton, J. DEI Strategies for New Chairs. Workshop for New Chairs, CRA Conference. Snowbird, UT. July 2024. Panelist.
• G. Sanders, J. Paxton, K. Blackler, J. How. Reshaping Tech-based Learning Through Student-centered Priorities, Society for College and University Planning Conference, Seattle WA, March 2024. Panelist and Workshop Facilitator.
• E. Cook, B. Fasy, C. O'Shea, J. Paxton and S. Qunell. Computer Science Integration Panel Discussion, Montana Science Summer Institute 2021, Virtual. August 2021. Panel Moderator.
• H. Crooks, C. Guenther, L. Oleson, J. Paxton, M. Renfro and K. Rutten. LGBTQ+ College Student Advice for Younger Students, Teachers and Parents, 2021 Rainbows Over the Rockies Virtual Conference, Bozeman, MT. March 2021. Panel Moderator.
• Paxton, J. Recruiting and Retaining Female CS Majors, International Women's Day 2020 Summit. Bozeman, MT. March 2020. Presentation.
• Hughes, B., Paxton, J., Kwapisz, M. and Rutten, K. Out in the Mountain West: Cultivating an oSTEM Chapter at Montana State University. oSTEM 2019 Annual Conference. Detroit, MI. November 2019. Panel Session.
• Brodley, C., et. al. Creating Institutional Homes for Computing: Transforming a Department into a School or College. Computing Research Association White Paper. April 2019. [pdf]
• Camp, T., Fizzano, P., Paxton, J. and Quinn, B. Your CS/IT Program's Culture: An Academic Alliance "Living Resource" Workshop. NCWIT Summit. Grapevine, TX. May 2018. Panel Sesssion.
• Seifert, T., O'Neill, T., Ziebarth, C., Paxton, J., Carpenter C. and Onuoha E. What Matters is the Learning: Creating Student-Centered Environments to Spark Discovery and Engagement. International Conference on Learning, Teaching and Student Success. Bozeman, MT. November 2016. Panel Session.
• Johnson, C., Bryant, R., Gupta, R., LeBlanc, R., Paxton, J. and Schnabel, B. Schools and Colleges of Computing. CRA Conference. Snowbird, UT. July 2016. Panel Session.
• Paxton, J. and Gunderson-Izurieta, S. Transforming Culture with Inspirational Space. NCWIT Summit on Women and IT. Hilton Head, SC. May 2015. Unposter Session.
• Paxton, J. Inspirational Space as a Mechanism to Transform Departmental Culture. 32nd Academic Chairpersons Conference. Austin, TX, February 2015.
• Williams, A., Cobb, K. and Paxton, J. Concurrent Enrollment Partnerships: Delivering High-Need, High-Speed CTE. National Alliance of Concurrent Enrollment Partnerships (NACEP) National Conference, Chicago IL, October 2014. Panel Presentation.
• Ellsworth, A. and Paxton, J. Trailblazing Models for Dual Enrollment Courses in Montana. 25th International Conference on College Teaching and Learning, Ponte Vedra Beach FL, March 2014.
• Paxton, J. and Ellsworth, A. Expanding Dual Enrollment in Montana. 25th International Conference on College Teaching and Learning, Ponte Vedra Beach FL, March 2014. Poster.
• Paxton, J. Sherick, H. and Marley, R. An International Engineering Certificate: Incentivizing Engineering Students to Pursue Global Experiences. Frontiers in Education Conference, Seattle WA, October 2012.
• Paxton, J. Hitting the Ground Running: Making Strategic Changes. The Department Chair, Volume 21, Number 3, Winter 2011.
• R. Mead, J. Paxton, and R. Sojda. New Software Methods in Radar Ornithology Using WSR-88D Weather Data and Potential Application to Monitoring Effects of Climate Change on Bird Migration. iEMSs 2010: International Congress on Environmental Modelling and Software. Ottawa, Canada. July 2010.
• J. Paxton. Hitting the Ground Running: Making Strategic Changes. 27th Annual Academic Chairpersons Conference. Orlando, Florida. February 2010.
• R. Mead, J. Paxton and R. Sojda. Identifying Biological Echoes in Radar Scans Using Machine Learning. iEMSs 2008: International Congress on Environmental Modelling and Software. Barcelona, Spain. July 2008. [pdf]
• D. Deb, M. Oudshoorn and J. Paxton. Self-managed Deployment in a Distributed Environment via Utility Functions. The 20th International Conference on Software Engineering & Knowledge Engineering, pp. 808-813. Redwood City, California. July 2008. [pdf]
• J. Paxton Programming Competition Problems as a Basis for an Algorithms and Data Structures Course. Ninth Annual Northwestern Regional Conference Consortium for Computing Sciences in Colleges. McMinnville, Oregon. October 2007. [doc] [ppt]
• R. Sojda, R. Angryk, R. Diehl, R. Klaver, R. Mead, and J. Paxton. Can Artificial Intelligence be used to Detect Birds in NEXRAD Data? U.S. Geological Survey, Biological Resources Discipline, Open-File Report 2007-1361, pp. 28-29. Fort Collins, Colorado. 2007. [web]
• R. Mead, J. Paxton and R. Sojda. Applications of Bayesian Networks in Ecological Modelling. IASTED International Conference on Environmental Modelling and Simulation. St. Thomas, US Virgin Islands. December 2006. [doc]
• J. Paxton. The Preference Matrix as a Course Design Tool: A Discussion Paper. Sixth Baltic Sea Conference on Computing Education Research. Koli, Finland. November 2006. [pdf] [doc] [ppt]
• S. Gardner, R. Lamb, and J. Paxton. An Initial Investigation on the Use of Fractional Calculus With Neural Networks. IASTED International Conference on Computational Intelligence. San Francisco, CA. November 2006. [doc]
• J. Paxton. Undergraduate Consultation: Opportunities and Challenges. Seventh Annual Northwestern Regional Consortium for Computing Sciences in Colleges Conference. Seattle, WA. October 2005. [doc] [ppt]
• J. Richter and J. Paxton. Adaptive Evolutionary Algorithms on Unitation, Royal Road and Longpath Functions. IASTED International Conference on Computational Intelligence. Calgary, Canada. July 2005. [pdf]
• J. Elser and J. Paxton. A Search Engine That Learns. IASTED International Conference on Computational Intelligence. Calgary, Canada. July 2005. [pdf] [ppt]
• M. Emery, J. Paxton and R. Donovan. Application and Testing of a Cougaar Agent-Based Architecture. IASTED International Conference on Computational Intelligence. Calgary, Canada. July 2005. [pdf] [ppt]
• N. Richter, J. Paxton and A. Wright. EA Models and Population Fixed-Points Versus Mutation Rates for Functions of Unitation. GECCO 2005, Genetic and Evolutionary Computation Conference. June 2005. [pdf]
• J. Paxton. An Overview of Artificial Intelligence. RightNow Technologies Brown Bag Seminar. Bozeman, MT. February 2005. [ppt]
• J. Paxton. Web Design! Sixth Annual Northwestern Regional Consortium for Computing Sciences in Colleges Conference. Salem, OR. October 2004. [doc] [ppt]
• J. Paxton. Experiences as a Short Term Visiting Lecturer. IIMS Seminar, Massey University, Albany Campus, New Zealand. August 2004. [ppt]
• J. Paxton. International Education: Challenges and Opportunities. IIMS PostGrad Seminar, Massey University, Albany Campus, New Zealand. August 2004. [ppt]
• J. Richter, A. Wright and J. Paxton. Exploration of Population Fixed-Points Versus Mutation Rates for Functions of Unitation. GECCO Evolutionary Computation Theory Workshop. Seattle, WA. June 2004. [pdf]
• J. Paxton and K. Heredia. Providing Curricular Assistance to a Third World University Computer Science Department. 9th Annual Conference on Innovation and Technology in Computer Science Education. Leeds, UK. June 2004. [pdf] [ppt]
• J. Paxton. Perspectivas de Inteligencia Artificial. 22nd Conescapan IEEE Conference. San Salvador, El Salvador. August 2003.
• J. Paxton. Live Programming as a Lecture Technique. Fourth Consortium for Computing in Small Colleges. Seattle, WA. October 2002.
• J. Paxton. XML in the CS Curriculum: Pointers and Pitfalls. Third Consortium for Computing in Small Colleges. Tacoma, WA. October 2001.
• J. Paxton, S. Furois, K. Casey and M. Milani. A Genetic Algorithm Scheduling Investigation. IASTED conference on Artificial Intelligence and Soft Computing. Cancun, Mexico. May 2001.
• J. Paxton and B. Mumey. Teaching Advanced Problem Solving: Implications for the CS Curriculum. Second Consortium for Computing in Small Colleges. Beaverton, OR. October 2000.
• J. Paxton and H. Tosun. Exploiting Idiosyncrasies in a Machine Learning Database. IASTED conference on Artificial Intelligence and Soft Computing. Banff, Canada. July 2000.
• J. Paxton. An Online Java Tutorial. First Consortium for Computing in Small Colleges. Spokane, WA. October 1999.
• J. Paxton. Java 2000: An Online Tutorial. Whitepaper. March 1999.
• J. Paxton. An Infusion of Java. Whitepaper. March 1998.
• J. Paxton. Balancing the Needs and Resources of a Large CS I Course. Whitepaper. February 1997.
• J. Paxton. Webucation: Using the Web as a Classroom Tool. Twenty-Seventh SIGCSE Technical Symposium on Computer Science Education. February 1996.
• J. Paxton. A Novel Approach to Teaching Artificial Intelligence. Twenty-Sixth SIGCSE Technical Symposium on Computer Science Education. March 1995.
• J. Paxton and J. Evans. Two Genetic Algorithm Enhancements. Third Golden West International Conference on Intelligent Systems. June 1994.
• J. Paxton, R. Ross and D. Starkey. A Methodology for Teaching an Integrated Computer Science Curriculum. Twenty-Fifth SIGCSE Technical Symposium on Computer Science Education. February 1994.
• J. Paxton, R. Ross and D. Starkey. An Integrated, Breadth-First Computer Science Curriculum Based on Computing Curricula 1991. Twenty-Fourth SIGCSE Technical Symposium on Computer Science Education. February 1993.
• C. Izurieta and J. Paxton. Route Planning Using an Emergent Hierarchical Architecture. Twenty-First Annual Computer Science Conference. February 1993.
• J. Paxton. Adapting Decision Trees to Produce Continuous Classifications. Second Golden West International Conference on Intelligent Systems. June 1992.
• J. Paxton. Toward a Better Understanding of Symbiotic Machine Learning Systems. First Golden West International Conference on Intelligent Systems. June 1991.
• J. Paxton. MARTIAN: An Incremental Concept Learning System. Ph.D. Thesis. Coadvisors: Paul Scott and John Laird. August 1990.