Evolving FPGA Based Cellular Automata. - Reid B. Porter; Neil W. Bergmann (SEAL, 1998)

An Applications Approach to Evolvable Hardware. - Reid B. Porter; Kevin McCabe; Neil W. Bergmann (Evolvable Hardware, 1999)

Finding Golf Courses: The Ultra High Tech Approach. - Neal R. Harvey; Simon Perkins; Steven P. Brumby; James Theiler; Reid B. Porter; A. Cody Young; Anil K. Varghese; John J. Szymanski; Jeffrey J. Bloch (EvoWorkshops, 2000)

Everything on the Chip: A Hardware-Based Self-Contained Spatially-Structured Genetic Algorithm for Signal Processing. - Simon Perkins; Reid B. Porter; Neal R. Harvey (ICES, 2000)

Evolving Network Architectures With Custom Computers For Multi-Spectral Feature Identification. - Reid B. Porter; Maya B. Gokhale; Neal R. Harvey; Simon Perkins; A. Cody Young (Evolvable Hardware, 2001)

Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction. - Neal R. Harvey; James Theiler; Steven P. Brumby; Simon Perkins; John J. Szymanski; Jeffrey J. Bloch; Reid B. Porter; Mark Galassi; A. Cody Young (IEEE Trans. Geosci. Remote. Sens., 2002)

Weighted Order Statistic Classifiers with Large Rank-Order Margin. - Reid B. Porter; Damian Eads; Don R. Hush; James Theiler (ICML, 2003)

Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification. - Reid B. Porter; Neal R. Harvey; Simon Perkins; James Theiler; Steven P. Brumby; Jeffrey J. Bloch; Maya B. Gokhale; John J. Szymanski (J. Math. Imaging Vis., 2003)

Unsupervised Adaptation to Improve Fault Tolerance of Neural Network Classifiers. - Alex Nugent; Garrett T. Kenyon; Reid B. Porter (Evolvable Hardware, 2004)

A Run-Time Re-configurable Parametric Architecture for Local Neighborhood Image Processing. - Reid B. Porter; Jan R. Frigo; Maya B. Gokhale; Christophe Wolinski; François Charot; Charles Wagner (DSD, 2006)

A Programmable, Maximal Throughput Architecture for Neighborhood Image Processing. - Reid B. Porter; Jan R. Frigo; Maya B. Gokhale; Christophe Wolinski; François Charot; Charles Wagner (FCCM, 2006)

A reconfigurable computing framework for multi-scale cellular image processing. - Reid B. Porter; Jan R. Frigo; Al Conti; Neal R. Harvey; Garrett T. Kenyon; Maya B. Gokhale (Microprocess. Microsystems, 2007)

Rotationally invariant sparse patch matching on GPU and FPGA. - Zachary K. Baker; Reid B. Porter (IPDPS, 2008)

Stack Filter Classifiers. - Reid B. Porter; G. Beate Zimmer; Don R. Hush (ISMM, 2009)

A change detection approach to moving object detection in low fame-rate video. - Reid B. Porter; Neal R. Harvey; James Theiler (Visual Information Processing, 2009)

A framework for activity detection in wide-area motion imagery. - Reid B. Porter; Christy Ruggiero; John D. Morrison (Visual Information Processing, 2009)

Geospatial image mining for nuclear proliferation detection: Challenges and new opportunities. - Ranga Raju Vatsavai; Budhendra L. Bhaduri; Anil M. Cheriyadat; Lloyd F. Arrowood; Eddie A. Bright; Shaun S. Gleason; Carl Diegert; Aggelos K. Katsaggelos; Thrasos N. Pappas; Reid B. Porter; Jim Bollinger; Barry Chen; et al. (IGARSS, 2010)

Ship detection in satellite imagery using rank-order grayscale hit-or-miss transforms. - Neal R. Harvey; Reid B. Porter; James Theiler (Visual Information Processing, 2010)

Algorithms for optimal dyadic decision trees. - Don R. Hush; Reid B. Porter (Mach. Learn., 2010)

Faster and Better: A Machine Learning Approach to Corner Detection. - Edward Rosten; Reid B. Porter; Tom Drummond (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Wide-Area Motion Imagery. - Reid B. Porter; Andrew M. Fraser; Don R. Hush (IEEE Signal Process. Mag., 2010)

Interactive image quantification tools in nuclear material forensics. - Reid B. Porter; Christy Ruggiero; Don R. Hush; Neal R. Harvey; Patrick Kelly; Wayne Scoggins; Lav Tandon (Image Processing: Machine Vision Applications, 2011)

Error minimizing algorithms for nearest neighbor classifiers. - Reid B. Porter; Don R. Hush; G. Beate Zimmer (Image Processing: Algorithms and Systems, 2011)

Ordered Hypothesis Machines. - G. Beate Zimmer; Don R. Hush; Reid B. Porter (J. Math. Imaging Vis., 2012)

Interactive Machine Learning in Data Exploitation. - Reid B. Porter; James Theiler; Don R. Hush (Comput. Sci. Eng., 2013)

Investigation of segmentation based pooling for image quantification. - Reid B. Porter; Neal R. Harvey; Christy Ruggiero (Image Processing: Machine Vision Applications, 2014)

Knowledge-Based Probabilistic Logic Learning. - Phillip Odom; Tushar Khot; Reid B. Porter; Sriraam Natarajan (AAAI, 2015)

Discovering compositional trends in Mars rock targets from ChemCam spectroscopy and remote imaging. - Diane Oyen; Nina Lanza; Reid B. Porter (AIPR, 2015)

Segmentation and learning in the quantitative analysis of microscopy images. - Christy Ruggiero; Amy Ross; Reid B. Porter (Image Processing: Machine Vision Applications, 2015)

Links between binary classification and the assignment problem in ordered hypothesis machines. - Reid B. Porter; Beate G. Zimmer (Image Processing: Algorithms and Systems, 2015)

Learning Watershed Cuts Energy Functions. - Reid B. Porter; Diane Oyen; Beate G. Zimmer (ISMM, 2015)

Deep segmentation networks using "simple" multi-layered graphical models. - Reid B. Porter; Beate G. Zimmer (SSIAI, 2016)

User-driven sampling strategies in image exploitation. - Neal R. Harvey; Reid B. Porter (Inf. Vis., 2016)

The ISTI Rapid Response on Exploring Cloud Computing 2018. - Carleton Coffrin; James Arnold; Stephan J. Eidenbenz; Derek Aberle; John Ambrosiano; Zachary K. Baker; Sara Brambilla; Michael J. Brown; K. Nolan Carter; Pinghan Chu; Patrick Conry; Keeley Costigan; et al. (CoRR, 2019)