CSRL: A Language for Expert Systems for Diagnosis. - Tom Bylander; Sanjay Mittal; B. Chandrasekaran 001 (IJCAI, 1983)

Understanding Behavior Using Consolidation. - Tom Bylander; B. Chandrasekaran 001 (IJCAI, 1985)

Artificial Intelligence Research at The Ohio State University. - B. Chandrasekaran 001; Tom Bylander (AI Mag., 1985)

CRSL: A Language for Classificatory Problem Solving and Uncertainty Handling. - Tom Bylander; Sanjay Mittal (AI Mag., 1986)

The Generic Task Toolset. - Tom Bylander; B. Chandrasekaran 001; John R. Josephson (HCI (2), 1987)

Computational Complexity of Hypothesis Assembly. - Dean Allemang; Michael C. Tanner; Tom Bylander; John R. Josephson (IJCAI, 1987)

Generic Tasks for Knowledge-Based Reasoning: The "Right" Level of Abstraction for Knowledge Acquisition. - Tom Bylander; B. Chandrasekaran 001 (Int. J. Man Mach. Stud., 1987)

Distributed Expert-Based Information Systems: An Interdisciplinary Approach. - Nicholas J. Belkin; Christine L. Borgman; Helen M. Brooks; Tom Bylander; W. Bruce Croft; Penny J. Daniels; Scott C. Deerwester; Edward A. Fox; Peter Ingwersen; Roy Rada (Inf. Process. Manag., 1987)

Theoretical Issues in Conceptual Information Processing. - James A. Hendler; Balakrishnan Chandrasekaran 001; Beth Adelson; Richard Alterman; Tom Bylander; Michael Dyer (AI Mag., 1988)

A critique of qualitative simulation from a consolidation viewpoint. - Tom Bylander (IEEE Trans. Syst. Man Cybern., 1988)

Some Results Concerning the Computational Complexity of Abduction. - Tom Bylander; Dean Allemang; Michael C. Tanner; John R. Josephson (KR, 1989)

Using causal reasoning in gait analysis. - David E. Hirsch; Sheldon R. Simon; Tom Bylander; Michael A. Weintraub; Peter Szolovits (Appl. Artif. Intell., 1989)

Computational Feasibility of Structured Matching. - Ashok K. Goel 001; Tom Bylander (IEEE Trans. Pattern Anal. Mach. Intell., 1989)

Some causal models are deeper than others. - Tom Bylander (Artif. Intell. Medicine, 1990)

The Qualitative Difference Resolution Rule. - Tom Bylander (AAAI, 1991)

Generating Error Candidates for Assigning Blame in a Knowledge Base. - Michael A. Weintraub; Tom Bylander (ML, 1991)

Complexity Results for Planning. - Tom Bylander (IJCAI, 1991)

The Monotonic Abduction Problem: A Functional Characterization on the Edge of Tractability. - Tom Bylander (KR, 1991)

The Computational Complexity of Abduction. - Tom Bylander; Dean Allemang; Michael C. Tanner; John R. Josephson (Artif. Intell., 1991)

Knowledge Compilation: A Symposium. - Ashok K. Goel 001; Tom Bylander; B. Chandrasekaran 001; Thomas G. Dietterich; Richard M. Keller; Chris Tong (IEEE Expert, 1991)

A Theory of Consolidation for Reasoning about Devices. - Tom Bylander (Int. J. Man Mach. Stud., 1991)

Tractability and artificial intelligence. - Tom Bylander (J. Exp. Theor. Artif. Intell., 1991)

Structured matching: a task-specific technique for making decisions. - Tom Bylander; Todd R. Johnson; Ashok K. Goel 001 (Knowl. Acquis., 1991)

Complexity Results for Serial Decomposability. - Tom Bylander (AAAI, 1992)

An Average Case Analysis of Planning. - Tom Bylander (AAAI, 1993)

Polynomial Learnability of Linear Threshold Approximations. - Tom Bylander (COLT, 1993)

Learning Linear Threshold Functions in the Presence of Classification Noise. - Tom Bylander (COLT, 1994)

The Computational Complexity of Propositional STRIPS Planning. - Tom Bylander (Artif. Intell., 1994)

Learning Linear Threshold Approximations Using Perceptrons. - Tom Bylander (Neural Comput., 1995)

A Probabilistic Analysis of Propositional STRIPS Planning. - Tom Bylander (Artif. Intell., 1996)

Worst-Case Absolute Loss Bounds for Linear Learning Algorithms. - Tom Bylander (AAAI/IAAI, 1997)

A Linear Programming Heuristic for Optimal Planning. - Tom Bylander (AAAI/IAAI, 1997)

Learning Probabilistically Consistent Linear Threshold Functions. - Tom Bylander (COLT, 1997)

The Binary Exponentiated Gradient Algorithm for Learning Linear Functions. - Tom Bylander (COLT, 1997)

A perceptron-like online algorithm for tracking the median. - Tom Bylander; Bruce Rosen (ICNN, 1997)

Worst-Case Analysis of the Perceptron and Exponentiated Update Algorithms. - Tom Bylander (Artif. Intell., 1998)

Estimating Generalization Error Using Out-of-Bag Estimates. - Tom Bylander; Dennis Hanzlik (AAAI/IAAI, 1999)

Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates. - Tom Bylander (Mach. Learn., 2002)

Using Validation Sets to Avoid Overfitting in AdaBoost. - Tom Bylander; Lisa Tate (FLAIRS, 2006)

Predicting currency exchange rates by genetic programming with trigonometric functions and high-order statistics. - Roy Schwaerzel; Tom Bylander (GECCO, 2006)

Transforming examples for multiclass boosting. - Tom Bylander (J. Exp. Theor. Artif. Intell., 2010)

Learning Linear Functions with Quadratic and Linear Multiplicative Updates. - Tom Bylander (ICML, 2011)

Numeric Query Answering on the Web. - Steven O'Hara; Tom Bylander (Int. J. Semantic Web Inf. Syst., 2011)

Predicting website correctness from consensus analysis. - Steven O'Hara; Tom Bylander (RACS, 2012)

Web Searching with Multiple Correct Answers. - Steven O'Hara; Tom Bylander (WIMS, 2014)