Reinforcement Learning with Pattern-based Rewards. - James F. Peters; Christopher J. Henry; Sheela Ramanna (Computational Intelligence, 2005)

Reinforcement Learning in Swarms that Learn. - James F. Peters; Christopher J. Henry; Sheela Ramanna (IAT, 2005)

Rough Ethograms: Study of Intelligent System Behavior. - James F. Peters; Christopher J. Henry; Sheela Ramanna (Intelligent Information Systems, 2005)

Reinforcement Learning with Approximation Spaces. - James F. Peters; Christopher J. Henry (Fundam. Informaticae, 2006)

Image Pattern Recognition Using Near Sets. - Christopher J. Henry; James F. Peters (RSFDGrC, 2007)

Approximation spaces in off-policy Monte Carlo learning. - James F. Peters; Christopher J. Henry (Eng. Appl. Artif. Intell., 2007)

Biologically-inspired adaptive learning control strategies: A rough set approach. - James F. Peters; Christopher J. Henry; David S. Gunderson (Int. J. Hybrid Intell. Syst., 2007)

Rough Sets and Near Sets in Medical Imaging: A Review. - Aboul Ella Hassanien; Ajith Abraham; James F. Peters; Gerald Schaefer; Christopher J. Henry (IEEE Trans. Inf. Technol. Biomed., 2009)

Perceptual image analysis. - Christopher J. Henry; James F. Peters (Int. J. Bio Inspired Comput., 2010)

Perception-based image classification. - Christopher J. Henry; James F. Peters (Int. J. Intell. Comput. Cybern., 2010)

Near Sets: Theory and Applications. - Christopher J. Henry (2010)

Parallel Computation in Finding Near Neighbourhoods. - Christopher J. Henry; Sheela Ramanna (RSKT, 2011)

Neighborhood-Based Vision Systems. - Christopher J. Henry; James F. Peters (Cybern. Syst., 2011)

Arthritic Hand-Finger Movement Similarity Measurements: Tolerance Near Set Approach. - Christopher J. Henry; James F. Peters (Comput. Math. Methods Medicine, 2011)

Perceptual Indiscernibility, Rough Sets, Descriptively Near Sets, and Image Analysis. - Christopher J. Henry (Trans. Rough Sets, 2012)

GPU Implementation of MCE Approach to Finding Near Neighbourhoods. - Tariq Alusaifeer; Sheela Ramanna; Christopher J. Henry; James F. Peters (RSKT, 2013)

Quantifying Nearness in Visual Spaces. - Christopher J. Henry; Sheela Ramanna; Daniel Levy (Cybern. Syst., 2013)

Metric Free Nearness Measure using Description-based Neighbourhoods. - Christopher J. Henry (Math. Comput. Sci., 2013)

Signature-based Perceptual Nearness: Application of Near Sets to Image Retrieval. - Christopher J. Henry; Sheela Ramanna (Math. Comput. Sci., 2013)

Maximal Clique Enumeration in Finding Near Neighbourhoods. - Christopher J. Henry; Sheela Ramanna (Trans. Rough Sets, 2013)

Proximity System: A Description-Based System for Quantifying the Nearness or Apartness of Visual Rough Sets. - Christopher J. Henry; Garrett Smith (Trans. Rough Sets, 2014)

Measuring the nearness of layered flow graphs: Application to Content Based Image Retrieval. - Kanwarpreet Kaur; Sheela Ramanna; Christopher J. Henry (Intell. Decis. Technol., 2016)

Deep Learning Neural Networks for Land Use Land Cover Mapping. - Christopher David Storie; Christopher J. Henry (IGARSS, 2018)

A Descriptive Tolerance Nearness Measure for Performing Graph Comparison. - Christopher J. Henry; Aqeel A. Syed (Fundam. Informaticae, 2018)

Descriptive Topological Spaces for Performing Visual Search. - Jiajie Yu; Christopher J. Henry (Trans. Rough Sets, 2019)

An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture. - Michael A. Beck; Chen-Yi Liu; Christopher P. Bidinosti; Christopher J. Henry; Cara M. Godee; Manisha Ajmani (CoRR, 2020)

A deep learning framework for land-use/land-cover mapping and analysis using multispectral satellite imagery. - Victor Alhassan; Christopher J. Henry; Sheela Ramanna; Christopher David Storie (Neural Comput. Appl., 2020)

Visualizing Feature Maps for Model Selection in Convolutional Neural Networks. - Sakib Mostafa; Debajyoti Mondal; Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry; Ian Stavness (ICCVW, 2021)

Polynomial degree reduction in the L2-norm on a symmetric interval for the canonical basis. - Habib Ben Abdallah; Christopher J. Henry; Sheela Ramanna (CoRR, 2021)

Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture. - Michael A. Beck; Chen-Yi Liu; Christopher P. Bidinosti; Christopher J. Henry; Cara M. Godee; Manisha Ajmani (CoRR, 2021)

The TerraByte Client: providing access to terabytes of plant data. - Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry; Manisha Ajmani (CoRR, 2022)

Investigating classification learning curves for automatically generated and labelled plant images. - Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry; Manisha Ajmani (CoRR, 2022)

Exploration of Convolutional Neural Network Architectures for Large Region Map Automation. - R. M. Tsenov; Christopher J. Henry; J. L. Storie; Christopher David Storie; B. Murray; Mikhail Sokolov (CoRR, 2022)

Semantically-consistent Landsat 8 image to Sentinel-2 image translation for alpine areas. - Mikhail Sokolov; J. L. Storie; Christopher J. Henry; Christopher David Storie; J. Cameron; R. S. Ødegård; V. Zubinaite; S. Stikbakke (CoRR, 2022)

Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification. - Sakib Mostafa; Debajyoti Mondal; Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry; Ian Stavness (Frontiers Artif. Intell., 2022)

1-Dimensional Polynomial Neural Networks for audio signal related problems. - Habib Ben Abdallah; Christopher J. Henry; Sheela Ramanna (Knowl. Based Syst., 2022)

Fully automated 2D and 3D convolutional neural networks pipeline for video segmentation and myocardial infarction detection in echocardiography. - Oumaima Hamila; Sheela Ramanna; Christopher J. Henry; Serkan Kiranyaz; Ridha Hamila; Rashid Mazhar; Tahir Hamid (Multim. Tools Appl., 2022)

Fusarium head blight detection, spikelet estimation, and severity assessment in wheat using 3D convolutional neural networks. - Oumaima Hamila; Christopher J. Henry; Oscar I. Molina; Christopher P. Bidinosti; Maria Antonia Henriquez (CoRR, 2023)

A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images. - Nooshin Noshiri; Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry (CoRR, 2023)

Strategies and impact of learning curve estimation for CNN-based image classification. - Laura Didyk; Brayden Yarish; Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry (CoRR, 2023)

High-Resolution Semantically Consistent Image-to-Image Translation. - Mikhail Sokolov; Christopher J. Henry; Joni Storie; Christopher David Storie; Victor Alhassan; Mathieu Turgeon-Pelchat (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Inside out: transforming images of lab-grown plants for machine learning applications in agriculture. - Alexander E. Krosney; Parsa Sotoodeh; Christopher J. Henry; Michael A. Beck; Christopher P. Bidinosti (Frontiers Artif. Intell., 2023)

Automated Linear Disturbance Mapping via Semantic Segmentation of Sentinel-2 Imagery. - Andrew M. Nagel; Anne Webster; Christopher J. Henry; Christopher David Storie; Ignacio San-Miguel Sanchez; Olivier Tsui; Jason Duffe; Andy Dean (CoRR, 2024)

Plant species recognition with optimized 3D polynomial neural networks and variably overlapping time-coherent sliding window. - Habib Ben Abdallah; Christopher J. Henry; Sheela Ramanna (Multim. Tools Appl., 2024)

Privacy-Preserving Fair Synthetic Tabular Data. - Fatima Jahan Sarmin; Atiquer R. Rahman; Christopher J. Henry; Noman Mohammed (CoRR, 2025)

A Low-Cost Photogrammetry System for 3D Plant Modeling and Phenotyping. - Joe Hrzich; Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry; Kalhari Manawasinghe; Karen Tanino (CoRR, 2025)