Research Publications for Dale B Fletcher
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Reijneveld, J. A., van Oostrum, M. J., Brolsma, K. M., Fletcher, D., & Oenema, O. (2022). Empower Innovations in Routine Soil Testing. Agronomy, 12(1). doi:10.3390/agronomy12010191
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FLETCHER, Dale BHolmes, G., Frank, E., Fletcher, D., & Sterling, C. (2022). Efficiently correcting machine learning: considering the role of example ordering in human-in-the-loop training of image classification models. In Proc 27th International Conference on Intelligent User Interfaces (IUI '22) (pp. 584-593). New York, NY, USA: ACM. doi:10.1145/3490099.3511110
Goodrich, J. P., Wall, A. M., Campbell, D. I., Fletcher, D., Wecking, A. R., & Schipper, L. A. (2021). Improved gap filling approach and uncertainty estimation for eddy covariance N<inf>2</inf>O fluxes. Agricultural and Forest Meteorology, 297. doi:10.1016/j.agrformet.2020.108280
Hill, M. G., Connolly, P. G., Reutemann, P., & Fletcher, D. (2014). The use of data mining to assist crop protection decisions on kiwifruit in New Zealand. Computers and Electronics in Agriculture, 108, 250-257. doi:10.1016/j.compag.2014.08.011
Holmes, G., Fletcher, D., & Reutemann, P. (2012). An application of data mining to fruit and vegetable sample identification using Gas Chromatography-Mass Spectrometry. In R. Seppelt, A. A. Voinov, S. Lange, & D. Bankamp (Eds.), Proc Sixth Biennial Meeting of the International Environmental Modelling and Software Society (iEMSs), Managing Resources of a Limited Planet: Pathways and Visions under Uncertainty (pp. 1577-1584). Conference held at Leipzig, Germany: iEMSs. Retrieved from http://www.iemss.org/sites/iemss2012/proceedings.html
Open Access version at:
https://hdl.handle.net/10289/8409
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HOLMES, Geoffrey :: FLETCHER, Dale B :: REUTEMANN, PeterBouckaert, R. R., Frank, E., Holmes, G., & Fletcher, D. (2011). A comparison of methods for estimating prediction intervals in NIR spectroscopy: Size matters. Chemometrics and Intelligent Laboratory Systems, 109(2), 139-145. doi:10.1016/j.chemolab.2011.08.008
Open Access version at:
https://hdl.handle.net/10289/5877
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BOUCKAERT, Remco R :: FRANK, Eibe T :: HOLMES, Geoffrey :: FLETCHER, Dale BHolmes, G., Fletcher, D., & Reutemann, P. (2010). Predicting polycyclic aromatic hydrocarbon concentrations in soil and water samples. In Modelling for Environment's Sake: Proceedings of the 5th Biennial Conference of the International Environmental Modelling and Software Society (pp. 1812-1819). Canada: International Environmental Modelling and Software Society. Retrieved from http://www.iemss.org/iemss2010/proceedings.html
Open Access version at:
https://hdl.handle.net/10289/4374
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HOLMES, Geoffrey :: FLETCHER, Dale B :: REUTEMANN, PeterPfahringer, B., Fletcher, D., Bouckaert, R., & Holmes, G. (2009). Random model trees: a competitive off-the-shelf technology for NIRS. In The 14th International Conference on Near Infrared Spectroscopy, NIR2009: Breaking the Dawn. Conference held at Bangkok, Thailand.
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PFAHRINGER, Bernhard M :: FLETCHER, Dale B :: BOUCKAERT, Remco R :: HOLMES, GeoffreyBouckaert, R., Holmes, G., Pfahringer, B., & Fletcher, D. (2009). Gaussian processes on graphics cards for NIRS. Poster session presented at the meeting of The 14th International Conference on Near Infrared Spectroscopy (NIR2009): Breaking the Dawn. Conference held at Bangkok, Thailand.
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BOUCKAERT, Remco R :: HOLMES, Geoffrey :: PFAHRINGER, Bernhard M :: FLETCHER, Dale BHolmes, G., Fletcher, D., Reutemann, P., & Frank, E. (2009). Analysing chromatographic data using data mining to monitor petroleum content in water. In N. Ioannis, P. A. Athanasiadis, A. E. Rizzoli, J. M. G, 243, & mez (Eds.), Proc Fourth International ICSC Symposium on Information Technologies in Environmental Engineering Vol. Information Technologies in Environmental Engineering (pp. 278-290). Berlin: Springer. doi:10.1007/978-3-540-88351-7_21
Open Access version at:
https://hdl.handle.net/10289/2204
Other publications by:
HOLMES, Geoffrey :: FLETCHER, Dale B :: REUTEMANN, Peter :: FRANK, Eibe T
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