| Active learning to recognize multiple types of plankton. T Luo, K Kramer, DB Goldgof, LO Hall, S Samson, A Remsen, T Hopkins, ... Journal of Machine Learning Research 6 (4), 2005 | 321 | 2005 |
| Recognizing plankton images from the shadow image particle profiling evaluation recorder T Luo, K Kramer, DB Goldgof, LO Hall, S Samson, A Remsen, T Hopkins IEEE transactions on systems, man, and cybernetics, part B (cybernetics) 34 …, 2004 | 107 | 2004 |
| Active cleaning of label noise R Ekambaram, S Fefilatyev, M Shreve, K Kramer, LO Hall, DB Goldgof, ... Pattern Recognition 51, 463-480, 2016 | 52 | 2016 |
| Label-noise reduction with support vector machines S Fefilatyev, M Shreve, K Kramer, L Hall, D Goldgof, R Kasturi, K Daly, ... Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 42 | 2012 |
| Learning to recognize plankton T Luo, K Kramer, D Goldgof, LO Hall, S Samson, A Remsen, T Hopkins SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems …, 2003 | 32 | 2003 |
| Fast support vector machines for continuous data KA Kramer, LO Hall, DB Goldgof, A Remsen, T Luo IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009 | 31 | 2009 |
| A parallel feature selection algorithm from random subsets DJ Garcia, LO Hall, DB Goldgof, K Kramer Proceedings of the international workshop on parallel data mining 18, 64-75, 2006 | 23 | 2006 |
| Automatic stereological analysis of biological tissue including section thickness determination KA Kramer, PR Mouton, LO Hall, D Goldgof, DT Elozory, OP Bonam, ... US Patent 9,297,995, 2016 | 22 | 2016 |
| Resilience of the zooplankton community in the northeast Gulf of Mexico during and after the Deepwater Horizon oil spill KL Daly, A Remsen, DM Outram, H Broadbent, K Kramer, K Dubickas Marine Pollution Bulletin 163, 111882, 2021 | 19 | 2021 |
| Automatic section thickness determination using an absolute gradient focus function DT Elozory, KA Kramer, B Chaudhuri, OP Bonam, DB Goldgof, LO Hall, ... Journal of microscopy 248 (3), 245-259, 2012 | 13 | 2012 |
| System for identifying plankton from the sipper instrument platform KA Kramer University of South Florida, 2010 | 12 | 2010 |
| Detection of anomalous particles from the deepwater horizon oil spill using the sipper3 underwater imaging platform S Fefilatyev, K Kramer, L Hall, D Goldgof, R Kasturi, A Remsen, K Daly 2011 IEEE 11th International Conference on Data Mining Workshops, 741-748, 2011 | 11 | 2011 |
| Increased classification accuracy and speedup through pair-wise feature selection for support vector machines K Kramer, DB Goldgof, LO Hall, A Remsen 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2011 | 8 | 2011 |
| Continuous dovetailing machine K Kramer, E Dimter US Patent 3,527,274, 1970 | 7 | 1970 |
| Identifying plankton from grayscale silhouette images KA Kramer | 6 | 2005 |
| Toward automated quantification of biological microstructures using unbiased stereology OP Bonam, D Elozory, K Kramer, D Goldgof, LO Hall, O Mangual, ... Medical Imaging 2011: Computer-Aided Diagnosis 7963, 994-1001, 2011 | 4 | 2011 |
| Automatic location of microscopic focal planes for computerized stereology DT Elozory, OP Bonam, K Kramer, DB Goldgof, LO Hall, O Mangual, ... Medical Imaging 2011: Computer-Aided Diagnosis 7963, 956-962, 2011 | 3 | 2011 |
| A novel algorithm for automated counting of stained cells on thick tissue sections B Chaudhury, K Kramer, D Elozory, G Hernandez, D Goldgof, LO Hall, ... 2012 25th IEEE International Symposium on Computer-Based Medical Systems …, 2012 | 1 | 2012 |
| Errata to “Recognizing Plankton Images From the Shadow Image Particle Profiling Evaluation Recorder” T Luo, K Kramer, DB Goldgof, LO Hall, S Samson, A Remsen, T Hopkins IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004 | 1 | 2004 |
| Analysis of an optical imaging system prototype for autonomously monitoring zooplankton in an aquaculture facility MN Bowman, RA McManamay, AR Perez, G Hamerly, W Arnold, ... Aquacultural Engineering 104, 102389, 2024 | | 2024 |
Matthew ShreveSenior Applied Scientist at AmazonBestätigte E-Mail-Adresse bei amazon.com
