A survey of NLP methods for oncology in the past decade with a focus on cancer registry applications [0.03%]
近十年来肿瘤学的自然语言处理方法综述及其在癌症登记中的应用
Isaac Hands,Ramakanth Kavuluru
Isaac Hands
Clinical texts from pathology and radiology reports provide critical information for cancer diagnosis and staging. This study surveys the application of natural language processing (NLP) in cancer registry operations from 2014 to 2024. A to...
Comprehensive review of reinforcement learning for medical ultrasound imaging [0.03%]
医学超声成像的强化学习综合回顾
Hanae Elmekki,Saidul Islam,Ahmed Alagha et al.
Hanae Elmekki et al.
Medical Ultrasound (US) imaging has seen increasing demands over the past years, becoming one of the most preferred imaging modalities in clinical practice due to its affordability, portability, and real-time capabilities. However, it faces...
A framework for measuring the training efficiency of a neural architecture [0.03%]
一种衡量神经网络架构训练效率的框架
Eduardo Cueto-Mendoza,John Kelleher
Eduardo Cueto-Mendoza
Measuring Efficiency in neural network system development is an open research problem. This paper presents an experimental framework to measure the training efficiency of a neural architecture. To demonstrate our approach, we analyze the tr...
Contrasting Linguistic Patterns in Human and LLM-Generated News Text [0.03%]
人类与大语言模型生成的新闻文本中的语言模式对比分析
Alberto Muñoz-Ortiz,Carlos Gómez-Rodríguez,David Vilares
Alberto Muñoz-Ortiz
We conduct a quantitative analysis contrasting human-written English news text with comparable large language model (LLM) output from six different LLMs that cover three different families and four sizes in total. Our analysis spans several...
A review of evaluation approaches for explainable AI with applications in cardiology [0.03%]
可解释人工智能的评估方法在心脏病学中的应用综述
Ahmed M Salih,Ilaria Boscolo Galazzo,Polyxeni Gkontra et al.
Ahmed M Salih et al.
Explainable artificial intelligence (XAI) elucidates the decision-making process of complex AI models and is important in building trust in model predictions. XAI explanations themselves require evaluation as to accuracy and reasonableness ...
Knowledge transfer in lifelong machine learning: a systematic literature review [0.03%]
终身机器学习中知识迁移的系统文献综述
Pouya Khodaee,Herna L Viktor,Wojtek Michalowski
Pouya Khodaee
Lifelong Machine Learning (LML) denotes a scenario involving multiple sequential tasks, each accompanied by its respective dataset, in order to solve specific learning problems. In this context, the focus of LML techniques is on utilizing a...
A Comprehensive review of data-driven approaches for forecasting production from unconventional reservoirs: best practices and future directions [0.03%]
用于预测非常规储层产量的数据驱动方法的全面回顾：最佳实践和未来方向
Hamid Rahmanifard,Ian Gates
Hamid Rahmanifard
Prediction of well production from unconventional reservoirs is a complex problem given an incomplete understanding of physics despite large amounts of data. Recently, Data Analytics Techniques (DAT) have emerged as an effective approach fo...
Three-way decisions in generalized intuitionistic fuzzy environments: survey and challenges [0.03%]
广义直觉模糊环境中的三支决策：综述与挑战
Juanjuan Ding,Chao Zhang,Deyu Li et al.
Juanjuan Ding et al.
Enhancing decision-making under risks is crucial in various fields, and three-way decision (3WD) methods have been extensively utilized and proven to be effective in numerous scenarios. However, traditional methods may not be sufficient whe...
Open-source intelligence: a comprehensive review of the current state, applications and future perspectives in cyber security [0.03%]
开源情报：网络安全中的现状、应用及未来展望综合回顾
Ashok Yadav,Atul Kumar,Vrijendra Singh
Ashok Yadav
The volume of data generated by today's digitally connected world is enormous, and a significant portion of it is publicly available. These data sources are web archives, public databases, and social networks such as Facebook, Twitter, Link...
Bernd Carsten Stahl,Josephina Antoniou,Nitika Bhalla et al.
Bernd Carsten Stahl et al.
Artificial intelligence (AI) is producing highly beneficial impacts in many domains, from transport to healthcare, from energy distribution to marketing, but it also raises concerns about undesirable ethical and social consequences. AI impa...