SICSOFT (Paper Session). - Burt M. Leavenworth; Raymond J. Hookway; George W. Ernst; Thomas A. Standish; Dennis F. Kibler; James M. Neighbors; J. C. Huang (ACM Annual Conference, 1976)

Improving and refining programs by program manipulation. - Thomas A. Standish; Dennis F. Kibler; James M. Neighbors (ACM Annual Conference, 1976)

A Theory of Nonuniformly Digitized Binary Pictures. - Jack Sklansky; Dennis F. Kibler (IEEE Trans. Syst. Man Cybern., 1976)

Program manipulation via an efficient production system. - Dennis F. Kibler; James M. Neighbors; Thomas A. Standish (Artificial Intelligence and Programming Languages, 1977)

Parallel interpretation of logic programs. - John S. Conery; Dennis F. Kibler (FPCA, 1981)

Don't Be Stupid. - Dennis F. Kibler; Paul Morris (IJCAI, 1981)

Episodic Learning. - Dennis F. Kibler; Bruce W. Porter (AAAI, 1983)

AND Parallelism in Logic Programs. - John S. Conery; Dennis F. Kibler (IJCAI, 1983)

Perturbation: A Means for Guiding Generalization. - Dennis F. Kibler; Bruce W. Porter (IJCAI, 1983)

Learning Operator Transformations. - Bruce W. Porter; Dennis F. Kibler (AAAI, 1984)

Parallelism in AI Programs. - Dennis F. Kibler; John S. Conery (IJCAI, 1985)

A Comparison of Analytic and Experimental Goal Regression for Machine Learning. - Bruce W. Porter; Dennis F. Kibler (IJCAI, 1985)

Differing Methodological Perspectives in Artificial Intelligence. - Rogers P. Hall; Dennis F. Kibler (AI Mag., 1985)

AND Parallelism and Nondeterminism in Logic Programs. - John S. Conery; Dennis F. Kibler (New Gener. Comput., 1985)

Experimental Goal Regression: A Method for Learning Problem-Solving Heuristics. - Bruce W. Porter; Dennis F. Kibler (Mach. Learn., 1986)

The Qualitative Character of Intelligence. - Dennis F. Kibler (ICDE, 1987)

Comparing Instance-Averaging with Instance-Filtering Learning Algorithms. - Dennis F. Kibler; David W. Aha (EWSL, 1988)

Machine Learning as an Experimental Science. - Dennis F. Kibler; Pat Langley (EWSL, 1988)

Learning to Plan in Complex Domains. - David Rudy; Dennis F. Kibler (ML, 1989)

Noise-Tolerant Instance-Based Learning Algorithms. - David W. Aha; Dennis F. Kibler (IJCAI, 1989)

Learning Subgoal Sequences for Planning. - David Ruby; Dennis F. Kibler (IJCAI, 1989)

Instance-based prediction of real-valued attributes. - Dennis F. Kibler; David W. Aha; Marc K. Albert (Comput. Intell., 1989)

SteppingStone: An Empirical and Analytical Evaluation. - David Ruby; Dennis F. Kibler (AAAI, 1991)

Instance-Based Learning Algorithms. - David W. Aha; Dennis F. Kibler; Marc K. Albert (Mach. Learn., 1991)

Learning Episodes for Optimization. - David Ruby; Dennis F. Kibler (ML, 1992)

The Utility of Knowledge in Inductive Learning. - Michael J. Pazzani; Dennis F. Kibler (Mach. Learn., 1992)

Large plateaus and plateau search in Boolean Satisfiability problems: When to give up searching and start again. - Steven E. Hampson; Dennis F. Kibler (Cliques, Coloring, and Satisfiability, 1993)

Concept Sharing: A Means to Improve Multi-Concept Learning. - Piew Datta; Dennis F. Kibler (ICML, 1993)

Learning Steppingstones for Problem Solving. - David Ruby; Dennis F. Kibler (Int. J. Pattern Recognit. Artif. Intell., 1993)

Learning Prototypical Concept Descriptions. - Piew Datta; Dennis F. Kibler (ICML, 1995)

Generation of Attributes for Learning Algorithms. - Yuh-Jyh Hu; Dennis F. Kibler (AAAI/IAAI, Vol. 1, 1996)

Symbolic Nearest Mean Classifiers. - Piew Datta; Dennis F. Kibler (AAAI/IAAI, 1997)

Learning Symbolic Prototypes. - Piew Datta; Dennis F. Kibler (ICML, 1997)

A Review of Machine Learning. - Dennis F. Kibler (AI Mag., 1998)

Detecting Motifs from Sequences. - Yuh-Jyh Hu; Suzanne B. Sandmeyer; Dennis F. Kibler (ICML, 1999)

Paul R. Cohen's Empirical Methods for Artificial Intelligence. - Dennis F. Kibler (Artif. Intell., 1999)

Minimum Generalization Via Reflection: A Fast Linear Threshold Learner. - Steven Hampson; Dennis F. Kibler (Mach. Learn., 1999)

Analysis of Yeast's ORF Upstream Regions by Parallel Processing, Microarrays, and Computational Methods. - Steven Hampson; Pierre Baldi; Dennis F. Kibler; Suzanne B. Sandmeyer (ISMB, 2000)

Combinatorial motif analysis and hypothesis generation on a genomic scale. - Yuh-Jyh Hu; Suzanne B. Sandmeyer; Calvin McLaughlin; Dennis F. Kibler (Bioinform., 2000)

The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation. - Stephen D. Bay; Dennis F. Kibler; Michael J. Pazzani; Padhraic Smyth (SIGKDD Explor., 2000)

Distribution patterns of over-represented k-mers in non-coding yeast DNA. - Steven Hampson; Dennis F. Kibler; Pierre Baldi (Bioinform., 2002)

Using hexamers to predict cis-regulatory motifs in Drosophila. - Bob Y. Chan; Dennis F. Kibler (BMC Bioinform., 2005)