Melba Crawford - researchr alias

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Viewing Publication 1 - 8 from 8

2023

Deep Learning Models Using Multi-Modal Remote Sensing for Prediction of Maize Yield in Plant Breeding ExperimentsClaudia Aviles Toledo, Melba Crawford. igarss 2023: 487-490 [doi]

2022

Maize Yield Prediction Based On Multi-Modality Remote Sensing And Lstm Models In Nitrogen Management Practice TrialsClaudia Aviles Toledo, Melba Crawford, Tony Vyn. whispers 2022: 1-7 [doi]

2021

Detection of Outliers in LiDAR Data Acquired by Multiple Platforms over Sorghum and MaizeBehrokh Nazeri, Melba Crawford. remotesensing, 13(21):4445, 2021. [doi]

2020

Deep Transfer Learning For Plant Center LocalizationEnyu Cai, Sriram Baireddy, Changye Yang, Melba Crawford, Edward J. Delp. cvpr 2020: 277-284 [doi]

2017

Extending out-of-sample manifold learning via meta-modelling techniquesGülsen Taskin Kaya, Melba Crawford. igarss 2017: 562-565 [doi]

2011

Planery speaker: Nonlinear manifolds for feature extraction: Opportunities and challengeMelba Crawford, A. Alexander Held, James Burger. whispers 2011: 1-3 [doi]

2009

Manifold Learning for Multi-classifier Systems via EnsemblesMelba Crawford, Wonkook Kim. mcs 2009: 519-528 [doi]

2003

Foreword to the earth observing 1 special issueJay S. Pearlman, Melba Crawford, David L. B. Jupp, Stephen G. Ungar. tgrs, 41(6):1147-1148, 2003. [doi]

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