An extensive survey on the use of supervised machine learning techniques in the past two decades for prediction of drug side effects [0.03%]
过去二十年监督机器学习技术预测药物副作用的研究进展综述
Pranab Das,Dilwar Hussain Mazumder
Pranab Das
Approved drugs for sale must be effective and safe, implying that the drug's advantages outweigh its known harmful side effects. Side effects (SE) of drugs are one of the common reasons for drug failure that may halt the whole drug discover...
Yuanhang Zheng,Zeshui Xu,Anran Xiao
Yuanhang Zheng
From the perspective of historical review, the methodology of economics develops from qualitative to quantitative, from a small sampling of data to a vast amount of data. Because of the superiority in learning inherent law and representativ...
Deep learning: survey of environmental and camera impacts on internet of things images [0.03%]
深度学习：环境及摄像头对物联网影像影响的研究综述
Roopdeep Kaur,Gour Karmakar,Feng Xia et al.
Roopdeep Kaur et al.
Internet of Things (IoT) images are captivating growing attention because of their wide range of applications which requires visual analysis to drive automation. However, IoT images are predominantly captured from outdoor environments and t...
José Marcio Duarte,Lilian Berton
José Marcio Duarte
A huge amount of data is generated daily leading to big data challenges. One of them is related to text mining, especially text classification. To perform this task we usually need a large set of labeled data that can be expensive, time-con...
Payal B Joshi
Payal B Joshi
Chemometrics and machine learning are artificial intelligence-based methods stirring a transformative change in chemistry. Organic synthesis, drug discovery and analytical techniques are incorporating machine learning techniques at an accel...
Gaussian bare-bone slime mould algorithm: performance optimization and case studies on truss structures [0.03%]
高斯简化 slime mould 算法：性能优化及在桁架结构中的案例研究
Shubiao Wu,Ali Asghar Heidari,Siyang Zhang et al.
Shubiao Wu et al.
The slime mould algorithm (SMA) is a new meta-heuristic algorithm recently proposed. The algorithm is inspired by the foraging behavior of polycephalus slime moulds. It simulates the behavior and morphological changes of slime moulds during...
Generalized q-rung orthopair fuzzy interactive Hamacher power average and Heronian means for MADM [0.03%]
广义q-正交模糊交互Hamacher幂平均和Heronian平均算子在MADM中的应用
Jinjun Li,Minghao Chen,Shibing Pei
Jinjun Li
In this paper, we establish a novel q-rung orthopair fuzzy (q-ROF) multi-attribute decision making (MADM) model on the basis of the proposed q-ROF interactive Hamacher weighted adjustable power average (q-ROFIHWAPA) and q-ROF interactive Ha...
H3O-LGBM: hybrid Harris hawk optimization based light gradient boosting machine model for real-time trading [0.03%]
基于混合Harris鹰优化算法的轻量梯度提升机实时交易模型(H3O-LGBM)
Vaishali Gupta,Ela Kumar
Vaishali Gupta
The gross domestic product (GDP) of a country is mainly dependent on its trade and external sector which improves the country's income. According to FY2021-2022, India's nominal GDP is estimated to be 3.12 trillion US dollars. Overall expor...
Jingfeng Cui,Zhaoxia Wang,Seng-Beng Ho et al.
Jingfeng Cui et al.
Sentiment analysis, one of the research hotspots in the natural language processing field, has attracted the attention of researchers, and research papers on the field are increasingly published. Many literature reviews on sentiment analysi...
Josep Alòs,Carlos Ansótegui,Eduard Torres
Josep Alòs
We present an approach to improve the accuracy-interpretability trade-off of Machine Learning (ML) Decision Trees (DTs). In particular, we apply Maximum Satisfiability technology to compute Minimum Pure DTs (MPDTs). We improve the runtime o...