| Rough sets and near sets in medical imaging: A review AE Hassanien, A Abraham, JF Peters, G Schaefer, C Henry IEEE Transactions on Information Technology in Biomedicine 13 (6), 955-968, 2009 | 218 | 2009 |
| A deep learning framework for land-use/land-cover mapping and analysis using multispectral satellite imagery V Alhassan, C Henry, S Ramanna, C Storie Neural Computing and Applications 32, 8529-8544, 2020 | 98 | 2020 |
| Near sets: theory and applications CJ Henry University of Manitoba (Canada), 2011 | 75 | 2011 |
| Reinforcement learning with approximation spaces JF Peters, C Henry Fundamenta Informaticae 71 (2-3), 323-349, 2006 | 68 | 2006 |
| Image pattern recognition using near sets C Henry, JF Peters International workshop on rough sets, fuzzy sets, data mining, and granular …, 2007 | 65 | 2007 |
| Deep learning neural networks for land use land cover mapping CJH C. Storie International Geoscience and Remote Sensing Symposium (IGARSS) - 2018 IEEE …, 2018 | 64 | 2018 |
| Rough ethograms: Study of intelligent system behavior JF Peters, C Henry, S Ramanna Intelligent Information Processing and Web Mining: Proceedings of the …, 2005 | 43 | 2005 |
| Automated LULC map production using deep neural networks DK C. J. Henry, C. Storie, M. Palaniappan, V. Alhassan, M. Swamy, D ... International Journal of Remote Sensing, 20 pp, 2018 | 38* | 2018 |
| Near set index in an objective image segmentation evaluation framework C Henry, JF Peters Proceedings of the GEOgraphic Object Based Image Analysis: Pixels, Objects …, 2008 | 37* | 2008 |
| An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture MA Beck, CY Liu, CP Bidinosti, CJ Henry, CM Godee, M Ajmani Plos one 15 (12), e0243923, 2020 | 36 | 2020 |
| Perception‐based image classification C Henry, JF Peters International Journal of Intelligent Computing and Cybernetics 3 (3), 410-430, 2010 | 35 | 2010 |
| Approximation spaces in off-policy Monte Carlo learning JF Peters, C Henry Engineering applications of artificial intelligence 20 (5), 667-675, 2007 | 35 | 2007 |
| Near set evaluation and recognition (near) system C Henry Rough fuzzy analysis foundations and applications, 7-22, 2010 | 31 | 2010 |
| Perceptual image analysis C Henry, J Peters Int. J. of Bio-Inspired Computation 2 (3/4), 271-281, 2009 | 25 | 2009 |
| Maximal clique enumeration in finding near neighbourhoods CJ Henry, S Ramanna Transactions on Rough Sets XVI, 103-124, 2013 | 24 | 2013 |
| Biologically-inspired adaptive learning control strategies: A rough set approach JF Peters, C Henry, DS Gunderson International Journal of Hybrid Intelligent Systems 4 (4), 203-216, 2007 | 24 | 2007 |
| Reinforcement learning in swarms that learn JF Peters, C Henry, S Ramanna Intelligent Agent Technology, IEEE/WIC/ACM International Conference on, 400-406, 2005 | 22 | 2005 |
| Reinforcement Learning with Pattern-based Rewards. JF Peters, CJ Henry, S Ramanna Computational Intelligence, 267-272, 2005 | 22 | 2005 |
| Line-crawling bots that inspect electric power transmission line equipment JF Peters, M Borkowski, C Henry, D Lockery, D Gunderson, S Ramanna Proc. 3rd Int. Conf. on Autonomous Robots and Agents, 39-44, 2006 | 21 | 2006 |
| Signature-based Perceptual Nearness: Application of Near Sets to Image Retrieval CJ Henry, S Ramanna Mathematics in Computer Science 7 (1), 71-85, 2013 | 20 | 2013 |
Christopher D StorieDepartment of Geography, The University of WinnipegE-mailová adresa ověřena na: uwinnipeg.ca