Learning k-Term DNF Formulas with an Incomplete Membership Oracle. - Sally A. Goldman; H. David Mathias (COLT, 1992)

Teaching a Smart Learner. - Sally A. Goldman; H. David Mathias (COLT, 1993)

Learning Unions of Boxes with Membership and Equivalence Queries. - Paul W. Goldberg; Sally A. Goldman; H. David Mathias (COLT, 1994)

DNF - If You Can't Learn'em, Teach'em: An Interactive Model of Teaching. - H. David Mathias (COLT, 1995)

Teaching a Smarter Learner. - Sally A. Goldman; H. David Mathias (J. Comput. Syst. Sci., 1996)

A Model of Interactive Teaching. - H. David Mathias (J. Comput. Syst. Sci., 1997)

Noise-Tolerant Parallel Learning of Geometric Concepts. - Nader H. Bshouty; Sally A. Goldman; H. David Mathias (Inf. Comput., 1998)

Noise-Tolerant Distribution-Free Learning of General Geometric Concepts. - Nader H. Bshouty; Sally A. Goldman; H. David Mathias; Subhash Suri; Hisao Tamaki (J. ACM, 1998)

Exact Learning of Discretized Geometric Concepts. - Nader H. Bshouty; Paul W. Goldberg; Sally A. Goldman; H. David Mathias (SIAM J. Comput., 1998)

An empirical study of crossover and mass extinction in a genetic algorithm for pathfinding in a continuous environment. - H. David Mathias; Vincent R. Ragusa (CEC, 2016)

Micro Aerial Vehicle Path Planning and Flight with a Multi-objective Genetic Algorithm. - H. David Mathias; Vincent R. Ragusa (IntelliSys (1), 2016)

An autonomous drone platform for student research projects. - H. David Mathias (J. Comput. Sci. Coll., 2016)

Social trends in the iterated prisoner's dilemma. - Jessica Finocchiaro; H. David Mathias (GECCO (Companion), 2017)

Enhanced genetic path planning for autonomous flight. - Vincent R. Ragusa; H. David Mathias; Vera A. Kazakova; Annie S. Wu (GECCO, 2017)

Evolving cooperation for the iterated prisoner's dilemma. - Jessica Finocchiaro; H. David Mathias (GECCO (Companion), 2019)

Improving a Genetic Algorithm for Route Planning Using Parallelism with Speculative Execution. - H. David Mathias; Samantha S. Foley (PEARC, 2019)

Heterogeneous Response Intensity Ranges and Response Probability Improve Goal Achievement in Multi-agent Systems. - H. David Mathias; Annie S. Wu; Laik Ruetten (ANTS Conference, 2020)

Dynamic Response Thresholds: Heterogeneous Ranges Allow Specialization While Mitigating Convergence to Sink States. - Annie S. Wu; H. David Mathias (ANTS Conference, 2020)

Variable Response Duration Promotes Self-organization in Decentralized Swarms. - Kaelan Engholdt; H. David Mathias; Annie S. Wu (BIOMA, 2020)

Improving Multi-Agent System Coordination Via Intensity Variation. - H. David Mathias; Annie S. Wu; Laik Ruetten; Eric Coursin (FLAIRS, 2020)

Effects of Response Threshold Distribution on Dynamic Division of Labor in Decentralized Swarms. - Annie S. Wu; H. David Mathias; Joseph P. Giordano; Anthony Hevia (FLAIRS, 2020)

A parallel two-stage genetic algorithm for route planning. - H. David Mathias; Samantha S. Foley (GECCO Companion, 2020)

Comparison of Desynchronization Methods for a Decentralized Swarm on a Logistical Resupply Problem. - Joseph P. Giordano; Annie S. Wu; Arjun Pherwani; H. David Mathias (AAMAS, 2021)

A Biologically-Inspired Model for Mass Extinction in Genetic Algorithms. - Kaelan Engholdt; H. David Mathias (CEC, 2021)

Decentralized Swarm Desynchronization via Inter-agent Variation for Logistical Resupply. - Annie S. Wu; Joseph P. Giordano; H. David Mathias; Arjun Pherwani (FLAIRS, 2021)

Evolved response thresholds generalize across problem instances for a deterministic-response multiagent system. - H. David Mathias; Annie S. Wu; Daniel Dang (GECCO Companion, 2021)

Evolutionary Optimization of Cooperative Strategies for the Iterated Prisoner's Dilemma. - Jessie Finocchiaro; H. David Mathias (IEEE Trans. Games, 2021)

Analysis of Evolved Response Thresholds for Decentralized Dynamic Task Allocation. - H. David Mathias; Annie S. Wu; Daniel Dang (ACM Trans. Evol. Learn. Optim., 2022)

Pid-Inspired Modifications in Response Threshold Models In Swarm Intelligent Systems. - Maryam Kebari; Annie S. Wu; H. David Mathias (GECCO, 2023)