Results 31 to 40 of about 11,006,319 (257)
Self-directed multimodal learning in higher education [PDF]
This book aims to provide an overview of theoretical and practical considerations in terms of self-directed multimodal learning within the university context.
Bailey, Roxanne +9 more
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Self-Supervised Learning for Solar Radio Spectrum Classification
Solar radio observation is an important way to study the Sun. Solar radio bursts contain important information about solar activity. Therefore, real-time automatic detection and classification of solar radio bursts are of great value for subsequent solar
Siqi Li +4 more
doaj +1 more source
Self-supervised Learning for Sonar Image Classification [PDF]
Self-supervised learning has proved to be a powerful approach to learn image representations without the need of large labeled datasets. For underwater robotics, it is of great interest to design computer vision algorithms to improve perception ...
Valdenegro-Toro, Matias; id_orcid +4 more
core +2 more sources
Self-supervised learning for transferable representations [PDF]
Machine learning has undeniably achieved remarkable advances thanks to large labelled datasets and supervised learning. However, this progress is constrained by the labour-intensive annotation process.
Ericsson, Linus
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Self-supervised learning enables the creation of algorithms that outperform supervised pre-training methods in numerous computer vision tasks. This paper provides a comprehensive overview of self-supervised learning applications across various X-ray ...
Ivan Martinović +6 more
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Experimental Case Study of Self-Supervised Learning for Voice Spoofing Detection
This study aims to improve the performance of voice spoofing attack detection through self-supervised pre-training. Supervised learning needs appropriate input variables and corresponding labels for constructing the machine learning models that are to be
Yerin Lee +3 more
doaj +1 more source
Improving drug–target affinity prediction by adaptive self-supervised learning [PDF]
Computational drug-target affinity prediction is important for drug screening and discovery. Currently, self-supervised learning methods face two major challenges in drug-target affinity prediction.
Qing Ye, Yaxin Sun
doaj +2 more sources
Self-Supervised Learning for the Distinction between Computer-Graphics Images and Natural Images
With the increasing visual realism of computer-graphics (CG) images generated by advanced rendering engines, the distinction between CG images and natural images (NIs) has become an important research problem in the image forensics community.
Kai Wang
doaj +1 more source
Vehicle routing optimization is a crucial responsibility of transportation service providers, which can significantly reduce operating expenses and improve client satisfaction.
Qi Wang, Chengwei Zhang, Chunlei Tang
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Self-Writer: Clusterable Embedding Based Self-Supervised Writer Recognition from Unlabeled Data
Writer recognition based on a small amount of handwritten text is one of the most challenging deep learning problems because of the implicit characteristics of handwriting styles.
Zabir Mohammad +4 more
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