Data Validation during Diagnosis: A Step beyond Traditional Sensor Validation. - B. Chandrasekaran 001; William F. Punch III (AAAI, 1987)

Hierarchical classification: its usefulness for diagnosis and sensor validation. - Balakrishnan Chandrasekaran 001; William F. Punch III (IEEE J. Sel. Areas Commun., 1988)

Peirce: A Tool for Experimenting with Abduction. - William F. Punch III; Michael C. Tanner; John R. Josephson; Jack W. Smith (IEEE Expert, 1990)

The Design of a C++ Library for MIDI Applications. - William F. Punch III; Greg Sepesi (ICMC, 1991)

An Algorithmic Approach to Composition based on Dynamic Hierarchical Assembly. - William F. Punch III; Mark Sullivan; Robert Koehler (ICMC, 1991)

Large Interactions of Compiled and Causal Reasoning in Diagnosis. - William F. Punch III (IEEE Expert, 1992)

Further Research on Feature Selection and Classification Using Genetic Algorithms. - William F. Punch III; Erik D. Goodman; Min Pei; Lai Chia-Shun; Paul D. Hovland; Richard J. Enbody (ICGA, 1993)

Coarse-grain parallel genetic algorithms: categorization and new approach. - Shyh-Chang Lin; William F. Punch III; Erik D. Goodman (SPDP, 1994)

Applications of Artificial Intelligence in Engineering, VII D. E. Grierson, G. Rzevski & R. A. Adey Computational Mechanics Inc., Billerica, MA, USA and Elsevier Science Publishers Ltd., Barking, Essex, UK 1992 1252 1-85166-787-3 or (1-56252-102-0). - Vladimir Uskov; William F. Punch (Artif. Intell. Eng. Des. Anal. Manuf., 1994)

A Standard GA Approach to Native Protein Conformation Prediction. - Arnold L. Patton; William F. Punch III; Erik D. Goodman (ICGA, 1995)

Genetic algorithms for object recognition in a complex scene. - Daniel L. Swets; Bill Punch 001; Juyang Weng (ICIP, 1995)

Using Genetic Algorithms to Design Laminated Composite Structures. - William F. Punch III; Ronald C. Averill; Erik D. Goodman; Shyh-Chang Lin; Ying Ding (IEEE Expert, 1995)

A Knowledge-Based Selection Mechanism for Strategic Control with Application in Design, Diagnosis and Planning. - William F. Punch; Ashok K. Goel 001; David C. Brown (Int. J. Artif. Intell. Tools, 1995)

Investigating Parallel Genetic Algorithms on Job Shop Scheduling Problems. - Shyh-Chang Lin; Erik D. Goodman; William F. Punch III (Evolutionary Programming, 1997)

A Genetic Algorithm Approach to Dynamic Job Shop Scheduling Problem. - Shyh-Chang Lin; Erik D. Goodman; William F. Punch III (ICGA, 1997)

Simultanous Feature Extraction and Selection Using a Genetic Algorithm. - Michael L. Raymer; William F. Punch III; Erik D. Goodman; Paul C. Sanschagrin; Leslie A. Kuhn (ICGA, 1997)

Toward the Optimization of a Class of Black Box Optimization Algorithms. - Gang Wang; Erik D. Goodman; William F. Punch III (ICTAI, 1997)

Finding Salient Features for Personal Web Page Categories. - Marilyn R. Wulfekuhler; William F. Punch III (Comput. Networks, 1997)

On the Application of Cohort-Driven Operators to Continuous Optimization Problems Using Evolutionary Computation. - Arnold L. Patton; Terrence Dexter; Erik D. Goodman; William F. Punch III (Evolutionary Programming, 1998)

Global search in combinatorial optimization using reinforcement learning algorithms. - Victor V. Miagkikh; William F. Punch III (CEC, 1999)

Scheduling variance loss using population level annealing for evolutionary computation. - Arnold L. Patton; Erik D. Goodman; William F. Punch III (CEC, 1999)

Optimal design of flywheels using an injection island genetic algorithm. - David Eby; Ronald C. Averill; William F. Punch III; Erik D. Goodman (Artif. Intell. Eng. Des. Anal. Manuf., 1999)

Experimental Study of Multipopulation Parallel Genetic Programming. - Francisco Fernández 001; Marco Tomassini; William F. Punch III; Juan Manuel Sánchez-Pérez (EuroGP, 2000)

Experimental Study of Isolated Multipulation Genetic Programming. - Francisco Fernández 001; Marco Tomassini; William F. Punch; J. M. Sánchez (GECCO, 2000)

GP+Echo+Subsumption = Improved Problem Solving. - William F. Punch; W. M. Rand (GECCO, 2000)

Dimensionality reduction using genetic algorithms. - Michael L. Raymer; William F. Punch III; Erik D. Goodman; Leslie A. Kuhn; Anil K. Jain 001 (IEEE Trans. Evol. Comput., 2000)

Knowledge Discovery in Biological Databasets Using a Hybrid Bayes Classifier/Evolutionary Algorithm. - Michael L. Raymer; Leslie A. Kuhn; William F. Punch III (BIBE, 2001)

Book Review: Genetic Programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications. - William F. Punch (Genet. Program. Evolvable Mach., 2001)

Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System. - Behrouz Minaei-Bidgoli; William F. Punch (GECCO, 2003)

Dimensionality Reduction via Genetic Value Clustering. - Alexander P. Topchy; William F. Punch (GECCO, 2003)

Combining Multiple Weak Clusterings. - Alexander P. Topchy; Anil K. Jain 001; William F. Punch (ICDM, 2003)

The LearningOnline Network with Computer-Assisted Personalized Approach (LON-CAPA). - Gerd Kortemeyer; Guy Albertelli; Wolfgang Bauer; Felicia Berryman; Jeremy Bowers; Matthew Hall; Edwin Kashy; Deborah Kashy; Helen Keefe; Behrouz Minaei-Bidgoli; William F. Punch; Alexander Sakharuk; et al. (PGLDB, 2003)

Knowledge discovery in medical and biological datasets using a hybrid Bayes classifier/evolutionary algorithm. - Michael L. Raymer; Travis E. Doom; Leslie A. Kuhn; William F. Punch III (IEEE Trans. Syst. Man Cybern. Part B, 2003)

Enhancing Online Learning Performance: An Application of Data Mining Methods. - Behrouz Minaei-Bidgoli; Gerd Kortemeyer; William F. Punch (CATE, 2004)

A Comparison of Resampling Methods for Clustering Ensembles. - Behrouz Minaei-Bidgoli; Alexander P. Topchy; William F. Punch (IC-AI, 2004)

Mining interesting contrast rules for a web-based educational system. - Behrouz Minaei-Bidgoli; Pang-Ning Tan; William F. Punch (ICMLA, 2004)

Adaptive Clustering Ensembles. - Alexander P. Topchy; Behrouz Minaei-Bidgoli; Anil K. Jain 001; William F. Punch (ICPR (1), 2004)

Association Rule Analysis for an Online Education System. - Behrouz Minaei-Bidgoli; Gerd Kortemeyer; William F. Punch (IRI, 2004)

Ensembles of Partitions via Data Resampling. - Behrouz Minaei-Bidgoli; Alexander P. Topchy; William F. Punch (ITCC (2), 2004)

A Mixture Model for Clustering Ensembles. - Alexander P. Topchy; Anil K. Jain 001; William F. Punch (SDM, 2004)

Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System. - Behrouz Minaei-Bidgoli; Gerd Kortemeyer; William F. Punch (SSPR/SPR, 2004)

Conformation of an ideal bucky ball molecule by genetic algorithm and geometric constraint from pair distance data: genetic algorithm. - David M. Cherba; William F. Punch; Phillip M. Duxbury; Simon J. L. Billinge; Pavol Juhas (GECCO, 2005)

Investigations in meta-GAs: panaceas or pipe dreams? - Jeff Clune; Sherri Goings; Bill Punch 001; Eric Goodman (GECCO Workshops, 2005)

Clustering Ensembles: Models of Consensus and Weak Partitions. - Alexander P. Topchy; Anil K. Jain 001; William F. Punch (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Crossover gene selection by spatial location. - David M. Cherba; William F. Punch (GECCO, 2006)

Recommendation via Query Centered Random Walk on K-Partite Graph. - Haibin Cheng; Pang-Ning Tan; Jon Sticklen; William F. Punch (ICDM, 2007)

VWM: An Improvement to Multiagent Coordination in Highly Dynamic Environments. - Seyed Hamid Hamraz; Behrouz Minaei-Bidgoli; William F. Punch (MATES, 2007)

Combining statistics and semantics via ensemble model for document clustering. - Samah Jamal Fodeh; William F. Punch; Pang-Ning Tan (SAC, 2009)

Python CS1 as preparation for C++ CS2. - Richard J. Enbody; William F. Punch; Mark McCullen (SIGCSE, 2009)

Performance of python CS1 students in mid-level non-python CS courses. - Richard J. Enbody; William F. Punch (SIGCSE, 2010)

Co-evolving data driven models and test data sets with the application to forecast chaotic time series. - Masoud Mirmomeni; William F. Punch (IEEE Congress on Evolutionary Computation, 2011)

Towards an automatic exploit pipeline. - Jared D. DeMott; Richard J. Enbody; William F. Punch III (ICITST, 2011)

On ontology-driven document clustering using core semantic features. - Samah Jamal Fodeh; William F. Punch; Pang-Ning Tan (Knowl. Inf. Syst., 2011)

A High-Fidelity Temperature Distribution Forecasting System for Data Centers. - Jinzhu Chen; Rui Tan 001; Yu Wang 020; Guoliang Xing; Xiaorui Wang; Xiaodong Wang 007; Bill Punch 001; Dirk Colbry (RTSS, 2012)

Reducing Wasted Evaluations in Cartesian Genetic Programming. - Brian W. Goldman; William F. Punch (EuroGP, 2013)

Length bias and search limitations in cartesian genetic programming. - Brian W. Goldman; William F. Punch (GECCO, 2013)

The institute for cyber-enabled research: regional organization to promote computation in science. - Dirk Colbry; Bill Punch 001; Wolfgang Bauer (XSEDE, 2013)

Data weighing mechanisms for clustering ensembles. - Hamid Parvin; Behrouz Minaei-Bidgoli; Hamid Alinejad-Rokny; William F. Punch (Comput. Electr. Eng., 2013)

Systematic bug finding and fault localization enhanced with input data tracking. - Jared D. DeMott; Richard J. Enbody; William F. Punch (Comput. Secur., 2013)

Parameter-less population pyramid. - Brian W. Goldman; William F. Punch (GECCO, 2014)

Effects of resampling method and adaptation on clustering ensemble efficacy. - Behrouz Minaei-Bidgoli; Hamid Parvin; Hamid Alinejad-Rokny; Hosein Alizadeh; William F. Punch (Artif. Intell. Rev., 2014)

Is information a selectable trait? - Masoud Mirmomeni; William F. Punch; Christoph Adami (CoRR, 2014)

An Efficient Structural Diversity Technique for Genetic Programming. - Armand R. Burks; William F. Punch (GECCO, 2015)

Gray-Box Optimization using the Parameter-less Population Pyramid. - Brian W. Goldman; William F. Punch (GECCO, 2015)

Fast and Efficient Black Box Optimization Using the Parameter-less Population Pyramid. - Brian W. Goldman; William F. Punch (Evol. Comput., 2015)

Analysis of Cartesian Genetic Programming's Evolutionary Mechanisms. - Brian W. Goldman; William F. Punch (IEEE Trans. Evol. Comput., 2015)

A Sensor System for High-Fidelity Temperature Distribution Forecasting in Data Centers. - Jinzhu Chen; Rui Tan 001; Yu Wang 020; Guoliang Xing; Xiaorui Wang; Xiaodong Wang 007; Bill Punch 001; Dirk Colbry (ACM Trans. Sens. Networks, 2015)

Hyperplane Elimination for Quickly Enumerating Local Optima. - Brian W. Goldman; William F. Punch (EvoCOP, 2016)

An Investigation of Hybrid Structural and Behavioral Diversity Methods in Genetic Programming. - Armand R. Burks; William F. Punch (GPTP, 2016)

An analysis of the genetic marker diversity algorithm for genetic programming. - Armand R. Burks; William F. Punch (Genet. Program. Evolvable Mach., 2017)

Genetic programming for tuberculosis screening from raw X-ray images. - Armand R. Burks; William F. Punch (GECCO, 2018)

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. - Joel Lehman; Jeff Clune; Dusan Misevic; Christoph Adami; Lee Altenberg; Julie Beaulieu; Peter J. Bentley; Samuel Bernard; Guillaume Beslon; David M. Bryson; Nick Cheney; Patryk Chrabaszcz; et al. (Artif. Life, 2020)

Active learning improves performance on symbolic regression tasks in StackGP. - Nathan Haut; Wolfgang Banzhaf; Bill Punch 001 (GECCO Companion, 2022)

Correlation Versus RMSE Loss Functions in Symbolic Regression Tasks. - Nathan Haut; Wolfgang Banzhaf; Bill Punch 001 (GPTP, 2022)

Active Learning Improves Performance on Symbolic RegressionTasks in StackGP. - Nathan Haut; Wolfgang Banzhaf; Bill Punch 001 (CoRR, 2022)

Active Learning Informs Symbolic Regression Model Development in Genetic Programming. - Nathan Haut; Bill Punch 001; Wolfgang Banzhaf (GECCO Companion, 2023)

Accelerating Image Analysis Research with Active Learning Techniques in Genetic Programming. - Nathan Haut; Wolfgang Banzhaf; Bill Punch 001; Dirk Colbry (GPTP, 2023)

Data Sampling via Active Learning in Cartesian Genetic Programming for Biomedical Data. - Yuri Lavinas; Nathan Haut; William Punch 001; Wolfgang Banzhaf; Sylvain Cussat-Blanc (CEC, 2024)

Dynamically Sampling biomedical Images For Genetic Programming. - Yuri Lavinas; Nathaniel Haut; William Punch 001; Wolfgang Banzhaf; Sylvain Cussat-Blanc (GECCO Companion, 2024)

Adaptive Sampling of Biomedical Images with Cartesian Genetic Programming. - Yuri Lavinas; Nathan Haut; William Punch 001; Wolfgang Banzhaf; Sylvain Cussat-Blanc (PPSN (1), 2024)

Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression. - Nathan Haut; Wolfgang Banzhaf; Bill Punch 001 (IEEE Trans. Evol. Comput., 2025)