Deep learning in drug discovery: an integrative review and future challenges [0.03%]
深度学习在药物发现中的应用：综合回顾与未来挑战
Heba Askr,Enas Elgeldawi,Heba Aboul Ella et al.
Heba Askr et al.
Recently, using artificial intelligence (AI) in drug discovery has received much attention since it significantly shortens the time and cost of developing new drugs. Deep learning (DL)-based approaches are increasingly being used in all sta...
New constructions of decision evaluation functions in three-way decision spaces based on uninorms [0.03%]
基于无量函数三种决策空间决策评价函数的新构造方法
Zihang Jia,Junsheng Qiao
Zihang Jia
In 2014, Hu introduced the concept of three-way decision spaces and axiomatic definition of decision evaluation functions. In three-way decision spaces, decision evaluation function satisfies minimum element axiom, monotonicity axiom and co...
Patrick Rodler
Patrick Rodler
In his seminal paper of 2004, Ulrich Junker proposed the QuickXplain algorithm, which provides a divide-and-conquer computation strategy to find within a given set an irreducible subset with a particular (monotone) property. Beside its orig...
Explainable AI for clinical and remote health applications: a survey on tabular and time series data [0.03%]
临床和远程健康应用的可解释性AI研究：表格和时间序列数据综述
Flavio Di Martino,Franca Delmastro
Flavio Di Martino
Nowadays Artificial Intelligence (AI) has become a fundamental component of healthcare applications, both clinical and remote, but the best performing AI systems are often too complex to be self-explaining. Explainable AI (XAI) techniques a...
Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis [0.03%]
大数据背景下的短文本主题模型：分类、综述与分析
Belal Abdullah Hezam Murshed,Suresha Mallappa,Jemal Abawajy et al.
Belal Abdullah Hezam Murshed et al.
Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly embraced by individuals, groups, and organizations as a valuable source of information. This social media generated information comes in the form of tweets...
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives [0.03%]
面向建筑自动化和管理系统的AI-大数据分析：现状、挑战及未来展望
Yassine Himeur,Mariam Elnour,Fodil Fadli et al.
Yassine Himeur et al.
In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control of heating venti...
Applications of deep learning into supply chain management: a systematic literature review and a framework for future research [0.03%]
深度学习在供应链管理中的应用：系统性文献综述及未来研究框架
Fahimeh Hosseinnia Shavaki,Ali Ebrahimi Ghahnavieh
Fahimeh Hosseinnia Shavaki
In today's complex and ever-changing world, Supply Chain Management (SCM) is increasingly becoming a cornerstone to any company to reckon with in this global era for all industries. The rapidly growing interest in the application of Deep Le...
Securing federated learning with blockchain: a systematic literature review [0.03%]
基于区块链的联邦学习安全研究综述性文献分析
Attia Qammar,Ahmad Karim,Huansheng Ning et al.
Attia Qammar et al.
Federated learning (FL) is a promising framework for distributed machine learning that trains models without sharing local data while protecting privacy. FL exploits the concept of collaborative learning and builds privacy-preserving models...
Unsupervised feature selection based on incremental forward iterative Laplacian score [0.03%]
基于增量正向迭代Laplacian得分的无监督特征选择方法
Jiefang Jiang,Xianyong Zhang,Jilin Yang
Jiefang Jiang
Feature selection facilitates intelligent information processing, and the unsupervised learning of feature selection has become important. In terms of unsupervised feature selection, the Laplacian score (LS) provides a powerful measurement ...
Automatic captioning for medical imaging (MIC): a rapid review of literature [0.03%]
医学影像自动标注（MIC）文献快速回顾
Djamila-Romaissa Beddiar,Mourad Oussalah,Tapio Seppänen
Djamila-Romaissa Beddiar
Automatically understanding the content of medical images and delivering accurate descriptions is an emerging field of artificial intelligence that combines skills in both computer vision and natural language processing fields. Medical imag...