A survey on deep learning in COVID-19 diagnosis
X Han, Z Hu, S Wang, Y Zhang - Journal of imaging, 2022 - mdpi.com
According to the World Health Organization statistics, as of 25 October 2022, there have
been 625,248,843 confirmed cases of COVID-19, including 65,622,281 deaths worldwide …
been 625,248,843 confirmed cases of COVID-19, including 65,622,281 deaths worldwide …
A survey of transfer learning for convolutional neural networks
R Ribani, M Marengoni - 2019 32nd SIBGRAPI conference on …, 2019 - ieeexplore.ieee.org
Transfer learning is an emerging topic that may drive the success of machine learning in
research and industry. The lack of data on specific tasks is one of the main reasons to use it …
research and industry. The lack of data on specific tasks is one of the main reasons to use it …
A novel spatio-temporal Siamese network for 3D signature recognition
Signature forgery is at the centre of several fraudulent activities and legal battles. The
introduction of 3D signatures, the virtual signing of ones name in the air, has the potential to …
introduction of 3D signatures, the virtual signing of ones name in the air, has the potential to …
A transfer learning-based multi-instance learning method with weak labels
Y Xiao, F Liang, B Liu - IEEE transactions on cybernetics, 2020 - ieeexplore.ieee.org
In multi-instance learning (MIL), labels are associated with bags rather than the instances in
the bag. Most of the previous MIL methods assume that each bag has the actual label in the …
the bag. Most of the previous MIL methods assume that each bag has the actual label in the …
Learning convolutional neural network to maximize pos@ top performance measure
In the machine learning problems, the performance measure is used to evaluate the
machine learning models. Recently, the number positive data points ranked at the top …
machine learning models. Recently, the number positive data points ranked at the top …
Learning convolutional ranking-score function by query preference regularization
Ranking score plays an important role in the system of content-based retrieval. Given a
query, the database items are ranked according to the ranking scores in a descending order …
query, the database items are ranked according to the ranking scores in a descending order …
A novel image tag completion method based on convolutional neural transformation
In the problems of image retrieval and annotation, complete textual tag lists of images play
critical roles. However, in real-world applications, the image tags are usually incomplete …
critical roles. However, in real-world applications, the image tags are usually incomplete …
Efficient image splicing detection algorithm based on markov features
Image splicing is one of the most common methods for digital image tampering. In this
paper, an efficient Markov features based algorithm is proposed for image splicing detection …
paper, an efficient Markov features based algorithm is proposed for image splicing detection …
Comparison of EEG signal decomposition methods in classification of motor-imagery BCI
A brain–computer interface (BCI) provides a link between the human brain and a computer.
The task of discriminating four classes (left and right hands and feet) of motor imagery …
The task of discriminating four classes (left and right hands and feet) of motor imagery …
Edos: Edge assisted offloading system for mobile devices
Offloading resource-intensive jobs to the cloud and nearby users is a promising approach to
enhance mobile devices. This paper investigates a hybrid offloading system that takes both …
enhance mobile devices. This paper investigates a hybrid offloading system that takes both …