Results 231 to 240 of about 8,161,576 (257)
Some of the next articles are maybe not open access.
2022 26th International Conference on Pattern Recognition (ICPR), 2022
Nico Zengeler +2 more
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Nico Zengeler +2 more
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A Comprehensive Survey on Transfer Learning
Proceedings of the IEEE, 2021Dongbo Xi, Fuzhen Zhuang, Zhiyuan Qi
exaly
Transfer Learning in Deep Reinforcement Learning: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Anil Jain, Zhuangdi Zhu, Kaixiang Lin
exaly
A Review of Deep Transfer Learning and Recent Advancements
Technologies, 2023Hamid R Arabnia, Mohammadreza Iman
exaly
2013
The use of machine learning to predict output from data, using a model, is a well studied area. There are, however, a number of real-world applications that require a model to be produced but have little or no data available of the specific environment. These situations are prominent in Intelligent Environments (IEs).
openaire +1 more source
The use of machine learning to predict output from data, using a model, is a well studied area. There are, however, a number of real-world applications that require a model to be produced but have little or no data available of the specific environment. These situations are prominent in Intelligent Environments (IEs).
openaire +1 more source
A review on transfer learning in EEG signal analysis
Neurocomputing, 2021Mengjie Huang, Rui Yang, Nianyin Zeng
exaly
Trustworthy Transfer Learning: Transferability and Trustworthiness
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023Jun Wu 0019, Jingrui He
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Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
IEEE Transactions on Instrumentation and Measurement, 2023Chen Xiaohan +2 more
exaly
2013 35th International Conference on Software Engineering (ICSE), 2013
Jaechang Nam +2 more
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Jaechang Nam +2 more
openaire +2 more sources
Transfer learning improves landslide susceptibility assessment
Gondwana Research, 2023Zhang Li Min, Wang Haojie
exaly

