Christopher J. Henry

CoRR, 2023

Fusarium head blight detection, spikelet estimation, and severity assessment in wheat using 3D convolutional neural networks.

[BibT_eX]

[DOI]

Oumaima Hamila

Oscar I. Molina

Maria Antonia Henriquez

CoRR, 2023

2022

Fully automated 2D and 3D convolutional neural networks pipeline for video segmentation and myocardial infarction detection in echocardiography.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2022

1-Dimensional Polynomial Neural Networks for audio signal related problems.

[BibT_eX]

[DOI]

Habib Ben Abdallah

Knowl. Based Syst., 2022

Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification.

[BibT_eX]

[DOI]

Sakib Mostafa

Debajyoti Mondal

Ian Stavness

Frontiers Artif. Intell., 2022

Semantically-consistent Landsat 8 image to Sentinel-2 image translation for alpine areas.

[BibT_eX]

[DOI]

Mikhail Sokolov

J. L. Storie

CoRR, 2022

Exploration of Convolutional Neural Network Architectures for Large Region Map Automation.

[BibT_eX]

[DOI]

R. M. Tsenov

J. L. Storie

B. Murray

Mikhail Sokolov

CoRR, 2022

Investigating classification learning curves for automatically generated and labelled plant images.

[BibT_eX]

[DOI]

CoRR, 2022

The TerraByte Client: providing access to terabytes of plant data.

[BibT_eX]

[DOI]

CoRR, 2022

Plant Species Recognition with Optimized 3D Polynomial Neural Networks and Variably Overlapping Time-Coherent Sliding Window.

[BibT_eX]

[DOI]

Habib Ben Abdallah

CoRR, 2022

2021

Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture.

[BibT_eX]

[DOI]

Chen-Yi Liu

Cara M. Godee

CoRR, 2021

Polynomial degree reduction in the L<sup>2</sup>-norm on a symmetric interval for the canonical basis.

[BibT_eX]

[DOI]

Habib Ben Abdallah

CoRR, 2021

Visualizing Feature Maps for Model Selection in Convolutional Neural Networks.

[BibT_eX]

[DOI]

Sakib Mostafa

Debajyoti Mondal

Ian Stavness

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

A deep learning framework for land-use/land-cover mapping and analysis using multispectral satellite imagery.

[BibT_eX]

[DOI]

Victor Alhassan

Neural Comput. Appl., 2020

An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture.

[BibT_eX]

[DOI]

Chen-Yi Liu

Cara M. Godee

CoRR, 2020

2019

Descriptive Topological Spaces for Performing Visual Search.

[BibT_eX]

[DOI]

Jiajie Yu

Trans. Rough Sets, 2019

2018

A Descriptive Tolerance Nearness Measure for Performing Graph Comparison.

[BibT_eX]

[DOI]

Aqeel A. Syed

Fundam. Informaticae, 2018

Deep Learning Neural Networks for Land Use Land Cover Mapping.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2016

Measuring the nearness of layered flow graphs: Application to Content Based Image Retrieval.

[BibT_eX]

[DOI]

Kanwarpreet Kaur

Intell. Decis. Technol., 2016

2014

Proximity System: A Description-Based System for Quantifying the Nearness or Apartness of Visual Rough Sets.

[BibT_eX]

[DOI]

Garrett Smith

Trans. Rough Sets, 2014

2013

Maximal Clique Enumeration in Finding Near Neighbourhoods.

[BibT_eX]

[DOI]

Trans. Rough Sets, 2013

Signature-based Perceptual Nearness: Application of Near Sets to Image Retrieval.

[BibT_eX]

[DOI]

Math. Comput. Sci., 2013

Metric Free Nearness Measure using Description-based Neighbourhoods.

[BibT_eX]

[DOI]

Math. Comput. Sci., 2013

Quantifying Nearness in Visual Spaces.

[BibT_eX]

[DOI]

Daniel Levy

Cybern. Syst., 2013

GPU Implementation of MCE Approach to Finding Near Neighbourhoods.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

2012

Perceptual Indiscernibility, Rough Sets, Descriptively Near Sets, and Image Analysis.

[BibT_eX]

[DOI]

Trans. Rough Sets, 2012

2011

Arthritic Hand-Finger Movement Similarity Measurements: Tolerance Near Set Approach.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2011

Neighborhood-Based Vision Systems.

[BibT_eX]

[DOI]

Cybern. Syst., 2011

Parallel Computation in Finding Near Neighbourhoods.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

2010

Near Sets: Theory and Applications.

[BibT_eX]

[DOI]

PhD thesis, 2010

Perception-based image classification.

[BibT_eX]

[DOI]

Int. J. Intell. Comput. Cybern., 2010

Perceptual image analysis.

[BibT_eX]

[DOI]

Int. J. Bio Inspired Comput., 2010

2009

Rough Sets and Near Sets in Medical Imaging: A Review.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Technol. Biomed., 2009

2007

Biologically-inspired adaptive learning control strategies: A rough set approach.

[BibT_eX]

[DOI]

David S. Gunderson

Int. J. Hybrid Intell. Syst., 2007

Approximation spaces in off-policy Monte Carlo learning.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2007

Image Pattern Recognition Using Near Sets.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2007

2006

Reinforcement Learning with Approximation Spaces.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2006

2005

Rough Ethograms: Study of Intelligent System Behavior.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information Processing and Web Mining, 2005

Reinforcement Learning in Swarms that Learn.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Reinforcement Learning with Pattern-based Rewards.

[BibT_eX]