A survey of data mining and deep learning in bioinformatics

K Lan, D Wang, S Fong, L Liu, KKL Wong… - Journal of medical …, 2018 - Springer
The fields of medicine science and health informatics have made great progress recently
and have led to in-depth analytics that is demanded by generation, collection and …

[HTML][HTML] Top data mining tools for the healthcare industry

J Santos-Pereira, L Gruenwald, J Bernardino - Journal of King Saud …, 2022 - Elsevier
The healthcare industry has become increasingly challenging, requiring retrieval of
knowledge from large amounts of complex data to find the best treatments. Several works …

MELR: Meta-learning via modeling episode-level relationships for few-shot learning

N Fei, Z Lu, T Xiang, S Huang - International Conference on …, 2021 - openreview.net
Most recent few-shot learning (FSL) approaches are based on episodic training whereby
each episode samples few training instances (shots) per class to imitate the test condition …

Motion-modulated temporal fragment alignment network for few-shot action recognition

J Wu, T Zhang, Z Zhang, F Wu… - Proceedings of the …, 2022 - openaccess.thecvf.com
While the majority of FSL models focus on image classification, the extension to action
recognition is rather challenging due to the additional temporal dimension in videos. To …

Task-aware part mining network for few-shot learning

J Wu, T Zhang, Y Zhang, F Wu - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Abstract Few-Shot Learning (FSL) aims at classifying samples into new unseen classes with
only a handful of labeled samples available. However, most of the existing methods are …

The survey of data mining applications and feature scope

N Padhy, DP Mishra, R Panigrahi - arXiv preprint arXiv:1211.5723, 2012 - arxiv.org
In this paper we have focused a variety of techniques, approaches and different areas of the
research which are helpful and marked as the important field of data mining Technologies …

[HTML][HTML] Big data in health care: Applications and challenges

L Hong, M Luo, R Wang, P Lu, W Lu, L Lu - Data and information …, 2018 - Elsevier
Abstract The concept of Big Data is popular in a variety of domains. The purpose of this
review was to summarize the features, applications, analysis approaches, and challenges of …

A two-dimensional sparse matrix profile DenseNet for COVID-19 diagnosis using chest CT images

Q Liu, CK Leung, P Hu - IEEE Access, 2020 - ieeexplore.ieee.org
COVID-19 is a newly identified disease, which is very contagious and has been rapidly
spreading across different countries around the world, calling for rapid and accurate …

Using data mining techniques for diagnosis and prognosis of cancer disease

S Kharya - arXiv preprint arXiv:1205.1923, 2012 - arxiv.org
Breast cancer is one of the leading cancers for women in developed countries including
India. It is the second most common cause of cancer death in women. The high incidence of …

Leveraging routine behavior and contextually-filtered features for depression detection among college students

X Xu, P Chikersal, A Doryab, DK Villalba… - Proceedings of the …, 2019 - dl.acm.org
The rate of depression in college students is rising, which is known to increase suicide risk,
lower academic performance and double the likelihood of dropping out of school. Existing …