Twenty years of machine-learning-based text classification: A systematic review
A Palanivinayagam, CZ El-Bayeh, R Damaševičius - Algorithms, 2023 - mdpi.com
Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …
wide range of applications, which include spam detection, hate speech identification …
[HTML][HTML] Study on deep learning in radar
W Jun, Z Tong, L Peng, W Shaoming - 雷达学报, 2018 - radars.ac.cn
Electromagnetic waves are transmitted by radars and reflected by different objects, and
radar signal processing is highly significant as its analyses can lead to the acquisition of …
radar signal processing is highly significant as its analyses can lead to the acquisition of …
Overfitting problem and the over-training in the era of data: Particularly for Artificial Neural Networks
I Bilbao, J Bilbao - 2017 eighth international conference on …, 2017 - ieeexplore.ieee.org
When we try to classify a set of data or to create a model to a cloud of points, different
techniques can be used. Among them, Artificial Neural Networks are nowadays reinvented …
techniques can be used. Among them, Artificial Neural Networks are nowadays reinvented …
[HTML][HTML] 深度学习在雷达中的研究综述
王俊， 郑彤， 雷鹏， 魏少明 - 雷达学报, 2018 - radars.ac.cn
王俊(1972–), 男, 教授. 现于北京航空航天大学电子信息工程学院从事科研教学工作. 1995
年于西北工业大学获通信工程专业工学学士学位, 1998 年, 2001 年于北京航空航天大学分别获 …
年于西北工业大学获通信工程专业工学学士学位, 1998 年, 2001 年于北京航空航天大学分别获 …
UAV multispectral image-based urban river water quality monitoring using stacked ensemble machine learning algorithms—A case study of the Zhanghe river, China
Timely monitoring of inland water quality using unmanned aerial vehicle (UAV) remote
sensing is critical for water environmental conservation and management. In this study, two …
sensing is critical for water environmental conservation and management. In this study, two …
Bayesian model averaging to improve the yield prediction in wheat breeding trials
S Fei, Z Chen, L Li, Y Ma, Y Xiao - Agricultural and Forest Meteorology, 2023 - Elsevier
Accurate pre-harvest prediction of wheat yield through secondary traits helps to facilitate
plant breeding and reduce costs. Machine learning (ML) algorithms are increasingly applied …
plant breeding and reduce costs. Machine learning (ML) algorithms are increasingly applied …
Using the Tsetlin machine to learn human-interpretable rules for high-accuracy text categorization with medical applications
Medical applications challenge today's text categorization techniques by demanding both
high accuracy and ease-of-interpretation. Although deep learning has provided a leap …
high accuracy and ease-of-interpretation. Although deep learning has provided a leap …
Machine-learning-aided application of high-gravity technology to enhance ammonia recovery of fresh waste leachate
Stripping is widely applied for the removal of ammonia from fresh waste leachate. However,
the development of air stripping technology is restricted by the requirements for large-scale …
the development of air stripping technology is restricted by the requirements for large-scale …
Multi-generation multi-criteria feature construction using genetic programming
J Ma, X Gao, Y Li - Swarm and Evolutionary Computation, 2023 - Elsevier
The purpose of feature construction is to create new high level features from the original
features. When Genetic Programming (GP) is applied to wrapper-based feature construction …
features. When Genetic Programming (GP) is applied to wrapper-based feature construction …
Machine learning in causal inference: Application in pharmacovigilance
Monitoring adverse drug events or pharmacovigilance has been promoted by the World
Health Organization to assure the safety of medicines through a timely and reliable …
Health Organization to assure the safety of medicines through a timely and reliable …