Results 241 to 250 of about 83,974 (281)

The Efficacy of Electronic Health Record-Based Artificial Intelligence Models for Early Detection of Pancreatic Cancer: A Systematic Review and Meta-Analysis. [PDF]

Cancers (Basel)
Makiev GG, Samoylenko IV, Nazarova VV, Magomedova ZR, Tryakin AA, Gevorkyan TG.   +5 more
europepmc   +1 more source

Making Sense of Erotically Oppressive Lifeworlds: Dynamics of Testimonial Smothering and Testimonial Quieting

Journal of Social Philosophy, EarlyView.
Paul Giladi
wiley   +1 more source

Ideology, Red in Tooth and Claw: Realist Ideology Critique and Animals

Journal of Social Philosophy, EarlyView.
Pablo Magaña
wiley   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Model-agnostic meta-learning for EEG-based inter-subject emotion recognition

Journal of Neural Engineering
Objective. Developing an efficient and generalizable method for inter-subject emotion recognition from neural signals is an emerging and challenging problem in affective computing.
Cheng Chen, Hao Fang, Yuxiao Yang, Yi Zhou   +3 more
semanticscholar   +3 more sources

Drone-Based Wall Crack Detection Using Model-Agnostic Meta-Learning

IEEE Transactions on Automation Science and Engineering
With the urbanization process and aging of buildings, wall crack detection plays a crucial role in the maintenance and safety of building structures.
Borong Xu, Wenxuan Shao, Xinghui Dong
semanticscholar   +2 more sources

Few-shot RUL estimation based on model-agnostic meta-learning

Journal of Intelligent Manufacturing, 2022
Yu Mo, Liang Li, Biqing Huang, Xiu Li
semanticscholar   +2 more sources

A Few-Shot-Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things

IEEE Internet of Things Journal, 2023
Currently, the effective technologies used to protect the security of the Internet of Things (IoT) include blockchain and intrusion detection systems (IDSs).
Chaomeng Lu, Xufeng Wang, Aimin Yang, Yikai Liu, Ziao Dong   +4 more
semanticscholar   +1 more source

Specific Emitter Identification With Limited Samples: A Model-Agnostic Meta-Learning Approach

IEEE Communications Letters, 2021
It is necessary but difficult to obtain a large number of labeled samples to train the classification model in many real scenes. This letter proposes an approach for specific emitter identification(SEI) by introducing model-agnostic meta-learning, which ...
Ning Yang, Bangning Zhang, Guoru Ding, Yimin Wei, Guofeng Wei, Jian Wang, D. Guo   +6 more
semanticscholar   +1 more source

Model-agnostic multi-stage loss optimization meta learning

International Journal of Machine Learning and Cybernetics, 2021
Model Agnostic Meta Learning (MAML) has become the most representative meta learning algorithm to solve few-shot learning problems. This paper mainly discusses MAML framework, focusing on the key problem of solving few-shot learning through meta learning.
Xiao Yao, Jianlong Zhu, Guanying Huo, Ning Xu, Xiaofeng Liu, Ce Zhang   +5 more
openaire   +1 more source