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Selected Publications
H.J. Holz, K. Hofmann, and C. Reed, "Unobtrusive User Modeling for Adaptive Hypermedia," International Journal of Pattern Recognition & Artificial Intelligence, 21 (2), 225-244, 2007
H.J. Holz, A. Applin, B. Haberman, D. Joyce, H. Purchase and C. Reed. "Research Methods in Computing: What are they and how should we teach them?" SigCSE Bulletin
38 (4), 96 - 114, 2006K. Hofmann, C. Reed, and H.J. Holz. (2006) "Unobtrusive Data Collection for Web-Based Social Navigation" AH'06 Workshop Social Navigation and Community-Based Adaptation Technologies http://www.sis.pitt.edu/~paws/SNC_BAT06/proceedings.html
M. Jain, H.J. Holz, J. Shrager, O. Vallon, C. Hauser, and A. Grossman. (2006) "A Hybrid, Recursive Algorithm for Clustering Expressed Sequence Tags in Chlamydomonas reinhardtii," ICPR 2006, pp. 404-407.
J. Beidler, K. Yasuhara, H.J. Holz, and E.J. Adams. (2005). "The Many Facets of Diversity," SIGCSE 2005 pp. 558-559.
K. Hofmann. (2005). "Subsymbolic User Modeling in Adaptive Hypermedia." 12th International Conference on Artificial Intelligence in Education Young Researchers Track. pp. 63-68.
T. Henry, H.J. Holz, C. Steinback, C. Reed, and A. Baid. (2004). "Work in Progress - Student Retention and Recruitment in Computer Science Programs." 34th ASEE/IEEE Frontiers in Education Conference pp. F3C-13 - F3C-14.
A. Baid. (2003). "Analysis and Development of Online-Adaptive Tutorials to Aid Retention of Non-Traditional Students in Computer Science." Proc 11th Southern California Conf Undergrad Research. p. 52.
H. Holz, M. Johnson, T. Roby, and E. Ginno. (2003) "Awareness, Competence, and Mastery: Providing a bridge to informal education for graduate women in computer science." SIGCSE 2003 Reno, NV, Feb 19-23, 2003.
H. Holz and J. Farrell. (2002). "The Pet code: a pedagogy-based set of code examples for helping students distinguish core programming language concepts." SIGCSE 2003 Reno, NV, Feb 19-23, 2003.
R. Farzan. (2003). "Adaptive Collaborative Unix Meta-Tutorial for Computer Science Students." SIGCSE 2003 p. 451.
H.J. Holz and M.H. Loew. (2002). "Validation of Relative Feature Importance Using Natural Data." Pattern Recognition Letters. vol. 23, pp. 367-380.
J. Farrell and H. Holz. (2002). "Enki: Open Infrastructure for Adaptive Digital Libraries." Joint Conference on Digital Libraries. Portland, OR, July 14-18, 2002.
H. Sawhney and R. Farzan. (2002). "Teaching Unix Skills to Undergraduate and Graduate Students in Computer Science." AHAT Technical Report.
H.J. Holz and M.H. Loew. (2000). "Design Choices and Theoretical Issues for Relative Feature Importance, a Metric for Nonparametric Discriminatory Power." Advances in Pattern Recognition,Ferri, F.J, Inesta, J., Amin, A, and Pudil, P, eds, Springer-Verlag, Berlin, pp. 696-705.
H.J. Holz and M.H. Loew. (2000). "Validation of Relative Feature Importance Using a Natural Data Set." ICPR 2000 pp. 2414-2417.
H.J. Holz and M.H. Loew. (1997). "Multi-class classifier-independent feature analysis." Pattern Recognition Letters. 18 (11-13), pp. 1219-1224.
H.J. Holz and M.H. Loew. (1996). "Concurrency in Feature Analysis." Applied Parallel Computing: Computations in Physics, Chemistry, and Engineering Science. J. Dongarra, K. Madsen and J. Wasniewski, eds, Springer-Verlag, Berlin, pp. 313-322.
H.J. Holz and M.H. Loew. (1994). "Non-Parametric Discriminatory Power." Proceedings of the 1994 IEEE-IMS Workshop on Information Theory and Statistics. pp. 65, Alexandria, VA.
H.J. Holz and M.H. Loew. (1994). "Relative Feature Importance: A Classifier-Independent Approach to Feature Selection." Pattern Recognition in Practice IV. Gelsema, E.S., and Kanal, L.S., eds, Elsevier Science Publishers, pp. 473-487.
C.D. Martin and H.J. Holz. (1992). "Integrating Social Impact and Ethics Issues Across the Computer Science Curriculum." Education and Society. 2, Elsevier, pp. 137-143.
C.D. Martin and H.J. Holz. (1992). "Non-Apologetic Computer Ethics Education." Teaching Computer Ethics pp. 50-66.
G. Bailey, R. Demeo, H. Holz, and J. Revell. (1991). "Survival of the Fittest." Proc of the Workshop on Evolution and Chaos in Cognitive Processing, IJCAI. August 1991, AAAI Press.
P. Bock, H. Holz, R. Rovner, and C.J. Kocinski. (1990). "An Initial Performance Evaluation of Unsupervised Learning with ALIAS." Proc of Intl Joint Conference on Neural Networks. June 1990, IEEE Press.
P. Bock, R. Rovner, C.J. Kocinski, H. Holz, and G. Becker. (1990) "A Parallel Implementation of Collective Learning Systems Theory: Adaptive Learning Image Analysis System (ALIAS)." Proceedings of the 1990 ACM Annual Conference on Cooperation. pp. 457-469.
P. Bock, G. Becker, H. Holz, C.J. Kocinski, and R. Rovner. (1989). "An Application of Collective Learning Systems Theory to an Adaptive Learning Image Analysis System: Project ALIAS." Proceedings of the International Workshop Neuro Nimes 1989: Neural Networks and Their Applications. November 1989.