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Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2

机译：提高机器学习算法的可访问性和可转移性，以便识别相机陷阱图像的识别图像：MLWIC2

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Michael A. Tabak; Mohammad S. Norouzzadeh; David W. Wolfson; Erica J. Newton; Raoul K. Boughton; Jacob S. Ivan; Eric A. Odell; Eric S. Newkirk; Reesa Y. Conrey; Jennifer Stenglein; Fabiola Iannarilli; John Erb; Ryan K. Brook; Amy J. Davis; Jesse Lewis; Daniel P. Walsh; James C. Beasley; Kurt C. VerCauteren; Jeff Clune; Ryan S. Miller;
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1. Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2 [J] . Michael A. Tabak, Mohammad S. Norouzzadeh, David W. Wolfson, Ecology and Evolution . 2020,第19期

机译：提高机器学习算法的可访问性和可转移性，以便识别相机陷阱图像的识别图像：MLWIC2
2. Recognition Of Animal Species On Camera Trap Images Using Machine Learning And Deep Learning Models [J] . Rajasekaran Thangarasu, Vishnu kumar Kaliappan, Raguvaran Surendran, International Journal of Scientific & Technology Research . 2019,第10期

机译：使用机器学习和深度学习模型在相机陷阱图像上识别动物物种
3. Machine learning to classify animal species in camera trap images: Applications in ecology [J] . Tabak Michael A., Norouzzadeh Mohammad S., Wolfson David W., Methods in Ecology and Evolution . 2019,第4期

机译：机器学习在相机陷阱中对动物物种进行分类图像：生态应用
4. Animal Identification in Low Quality Camera-Trap Images Using Very Deep Convolutional Neural Networks and Confidence Thresholds [C] . Alexander Gomez, German Diez, Augusto Salazar, International symposium on visual computing . 2016

机译：使用非常深的卷积神经网络和置信度阈值对低质量摄像头图像中的动物进行识别
5. Development and Identification of Metrics to Predict the Impact of Dimension Reduction Techniques on Classical Machine Learning Algorithms for Still Highway Images [D] . Khan, Wasim Akram. 2020

机译：指标的发展与识别预测尺寸减少技术对静态机器学习算法的影响
6. Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2 [O] . Michael A. Tabak, Mohammad S. Norouzzadeh, David W. Wolfson, 2020

机译：提高机器学习算法的可访问性和可转移性以便识别相机陷阱图像的识别图像：MLWIC2
7. Detecting COVID-19 in chest images based on deep transfer learning and machine learning algorithms [O] . Seyed Masoud Rezaeijo, Mohammadreza Ghorvei, Razzagh Abedi-Firouzjah, 2021

机译：基于深度转移学习和机器学习算法检测Covid-19胸部图像

Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2

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