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Genetic Programming for High-Level Feature Learning in Crop Classification

by Lu, Miao, Bi, Ying, Xue, Bing, Hu, Qiong, Zhang, Mengjie, Wei, Yanbing, Yang, Peng, Wu, Wenbin
Published in Remote sensing (Basel, Switzerland) (01.08.2022)

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Deterministic Local Interpretable Model-Agnostic Explanations for Stable Explainability

by Zafar, Muhammad Rehman, Khan, Naimul
Published in Machine learning and knowledge extraction (01.09.2021)

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SU-C-BRA-04: Automated Segmentation of Head-And-Neck CT Images for Radiotherapy Treatment Planning Via Multi-Atlas Machine Learning (MAML)

by Ren, X, Sharp, G, Gao, H
Published in Medical physics (Lancaster) (01.06.2016)

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An Efficient Algorithm Proposed For Smoke Detection in Video Using Hybrid Feature Selection Techniques

by Matlani, P., Shrivastava, M.
Published in Engineering, technology & applied science research (01.04.2019)

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Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects

by Moradi, Elaheh, Pepe, Antonietta, Gaser, Christian, Huttunen, Heikki, Tohka, Jussi
Published in NeuroImage (Orlando, Fla.) (01.01.2015)

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Bioinformatics and Biomedical Engineering: Third International Conference, IWBBIO 2015, Granada, Spain, April 15-17, 2015. Proceedings, Part I

by Ortuño, Francisco, Rojas, Ignacio
Year of Publication 2015

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Search alternatives:

Genetic Programming for High-Level Feature Learning in Crop Classification

Deterministic Local Interpretable Model-Agnostic Explanations for Stable Explainability

SU-C-BRA-04: Automated Segmentation of Head-And-Neck CT Images for Radiotherapy Treatment Planning Via Multi-Atlas Machine Learning (MAML)

An Efficient Algorithm Proposed For Smoke Detection in Video Using Hybrid Feature Selection Techniques

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects

Bioinformatics and Biomedical Engineering: Third International Conference, IWBBIO 2015, Granada, Spain, April 15-17, 2015. Proceedings, Part I

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