2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)最新文献_第6页

Machine Learning Techniques on X-ray Images for Covid-19 Classification 基于x射线图像的机器学习技术用于Covid-19分类

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00085

Luciano Caroprese, E. Vocaturo, E. Zumpano

{"title":"Machine Learning Techniques on X-ray Images for Covid-19 Classification","authors":"Luciano Caroprese, E. Vocaturo, E. Zumpano","doi":"10.1109/WI-IAT55865.2022.00085","DOIUrl":"https://doi.org/10.1109/WI-IAT55865.2022.00085","url":null,"abstract":"The Public Health Commission of Hubei Province, China, at the end of 2019reported cases of severe and unknown pneumonia, marked by fever, malaise, dry cough, dyspnea, and respiratory failure, that occurred in the urban area of Wuhan, according to the World Health Organization (WHO). The lung infection, SARS-CoV-2, also known as COVID-19, was caused by a brand-new coronavirus (coronavirus disease 2019). Since then, infections have increased exponentially, and the WHO labeled the outbreak a worldwide emergency at the beginning of March 2020. Infected and asymptomatic individuals who can spread the virus are the main sources of it. The transmission occurs mainly by airthrough the air through the droplets, however indirect transmission is also possible, such as through contact with infected surfaces. It becomes essential to identify viral carriers as soon as possible in order to stop the spread of the disease and reduce morbidity and mortality. Imaging examinations, which are among the specific tests used to make the definite diagnosis, are crucial in the patient’s management when COVID-19 is suspected. Numerous papers that use machine learning techniques discuss the use of X-ray chest radiographs as a component that aids in diagnosis and permits disease follow-up. The goal of this work is to supply the scientific community with information on the most widely used Machine Learning algorithms applied to chest X-ray images.","PeriodicalId":345445,"journal":{"name":"2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133255767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Handling out of vocabulary words at the semantical level using recurrent neural networks 使用递归神经网络在语义层面处理词汇表外的单词

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00022

Paula M. L. Pedroso, F. Lobato, Eveline Sá, A. Jacob

{"title":"Handling out of vocabulary words at the semantical level using recurrent neural networks","authors":"Paula M. L. Pedroso, F. Lobato, Eveline Sá, A. Jacob","doi":"10.1109/WI-IAT55865.2022.00022","DOIUrl":"https://doi.org/10.1109/WI-IAT55865.2022.00022","url":null,"abstract":"Text recognition through natural language processing (NLP) faces challenges when it encounters a word that is not categorized. These types of words are called out-of-vocabulary words (OOV). They are often the subject of representation, local slang, or typing mistakes. These types of content have grown exponentially as the Internet has popularized, making people interact more assiduously through texting. Given the importance of this subject, we present three OOV classification models based on deep learning using a corpus with words in Portuguese as a case study. These models are bidirectional simple recurrent neural networks (RNN), short-term long memory (LSTM), and gated recurrent units (GRU). The purpose is to enable the system to recognize the embedding of OOV and place them in a vector space. In addition, the meaning of the words was verified using cosine similarity. The results of LSTM are promising for identifying OOV and generating semantically similar words. The model can be used in pre-processing pipelines for user-generated content analysis, adding more value to social media studies.","PeriodicalId":345445,"journal":{"name":"2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133824289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Developing a Dataset for Mining Reviews in Tweets focusing on Celebrities’ Aspects 开发一个数据集，用于挖掘名人方面的推文评论

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/wi-iat55865.2022.00075

Kotoe Sugawara, T. Utsuro

引用次数: 0

Entity Level QA Pairs Dataset for Sentiment Analysis 情感分析的实体级QA对数据集

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00046

Aritra Kumar Lahiri, Qinmin Hu

引用次数: 0

An intelligent assistant to provide social support to informal caregivers of people with dementia: Alzaid Assistant 一个智能助手，为痴呆症患者的非正式照顾者提供社会支持:阿尔扎伊德助手

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00112

Eduardo Islas-Cota, Christian O. Acosta, Luis-Felipe Rodríguez

{"title":"An intelligent assistant to provide social support to informal caregivers of people with dementia: Alzaid Assistant","authors":"Eduardo Islas-Cota, Christian O. Acosta, Luis-Felipe Rodríguez","doi":"10.1109/WI-IAT55865.2022.00112","DOIUrl":"https://doi.org/10.1109/WI-IAT55865.2022.00112","url":null,"abstract":"More than 50 million people live with dementia worldwide and it is expected to reach 82 million in 2030 and 150 million in 2050. Most of these people are cared for by informal caregivers at home, i.e. people who are not paid for their work and who are usually family members without professional training. The lack of skills and knowledge necessary to carry out this work causes stress and leads to increased levels of overload, anxiety, and depression in informal caregivers. This paper presents work in progress on the design of an intelligent assistant (IA), named Alzaid Assistant, for informal caregivers of people with dementia (PwD). This IA aims to promote social support in informal caregivers of PwD by providing them with information and strengthening coping strategies for problem solving and emotional regulation to reduce levels of overload, anxiety, and depression. Particularly, the phases of requirements elicitation, design, implementation, and preliminary validations are presented. A high-fidelity prototype of the IA was evaluated by 20 participants using a questionnaire based on the technology acceptance model to assess the perceived usefulness and perceived ease of use. Alzaid Assistant was perceived as quite likely useful and quite likely easy to use by potential users.","PeriodicalId":345445,"journal":{"name":"2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125644725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding how social discussion platforms like Reddit are influencing financial behavior 了解Reddit等社交讨论平台如何影响金融行为

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00096

Sachin Thukral, Suyash Sangwan, Arnab Chatterjee, Lipika Dey, Aaditya Agrawal, Pramit Kumar Chandra, Animesh Mukherjee

引用次数: 0

Proof of Earnestness- Subjective information’s Trustworthiness in Blockchains as a Service 真实性证明——区块链即服务中主观信息的可信度

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00054

H. Bui, O. Hussain, Morteza Saberi, F. Hussain

引用次数: 0

Research on Clustering Algorithm of Hyperspectral Images Based on Fuzzy Kernel P System 基于模糊核P系统的高光谱图像聚类算法研究

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00116

Shi Qiu, Geng Zhang, Miao Zhang

引用次数: 0

MediBox: An Integrated Web Service System for Personalized Medical Assistance MediBox:个性化医疗援助的集成网络服务系统

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00086

Pawan D. Mehta, Viren A. Shah, Nidhi M. Gandhi, Xing Tan

{"title":"MediBox: An Integrated Web Service System for Personalized Medical Assistance","authors":"Pawan D. Mehta, Viren A. Shah, Nidhi M. Gandhi, Xing Tan","doi":"10.1109/WI-IAT55865.2022.00086","DOIUrl":"https://doi.org/10.1109/WI-IAT55865.2022.00086","url":null,"abstract":"Health is a crucial facet of everybody’s life. We all have to take medicine prescribed by doctors from time to time to sustain the soundness of our bodies. It is coherently laborious to maintain track of all the medications throughout life. Dissimilarity exists among individuals and medical institutions for treating patients with diverse medicines. Specific drugs might treat a patient positively while they might not turn out to be that effective on others. Hence, understanding each patient’s body and the side effects of the drugs on them is crucial for doctors. The work of the doctors can be eased if they can refer to the patient’s medical records. On the contrary, it is a tedious and meticulous job for the patients to maintain their own drug history. The proposed model Medibox will become a bridge for the doctors and the patient’s smooth communication. The users can easily upload their prescriptions that will be converted into a digital repository along with more features. Overall, Medibox is a one-spot solution for patients to start pursuing a wholesome life and to keep a record of their medical history effortlessly.","PeriodicalId":345445,"journal":{"name":"2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129010835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks 利用图神经网络发现动态网络中的结构孔扳手

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00019

Diksha Goel, Hong Shen, Hui Tian, Ming-Chi Guo

{"title":"Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks","authors":"Diksha Goel, Hong Shen, Hui Tian, Ming-Chi Guo","doi":"10.1109/WI-IAT55865.2022.00019","DOIUrl":"https://doi.org/10.1109/WI-IAT55865.2022.00019","url":null,"abstract":"Structural Hole (SH) theory states that the node which acts as a connecting link among otherwise disconnected communities gets positional advantages in the network. These nodes are called Structural Hole Spanners (SHS). SHSs have many applications, including viral marketing, information dissemination, community detection, etc. Numerous solutions are proposed to discover SHSs; however, most of the solutions are only applicable to static networks. Since real-world networks are dynamic networks; consequently, in this study, we aim to discover SHSs in dynamic networks. Discovering SHSs is an NPhard problem, due to which, instead of discovering exact k SHSs, we adopt a greedy approach to discover top-k SHSs. Motivated from the success of Graph Neural Networks (GNNs) on various graph mining problems, we design a Graph Neural Network-based model, GNN-SHS, to discover SHSs in dynamic networks, aiming to reduce the computational cost while achieving high accuracy. We analyze the efficiency of the proposed model through exhaustive experiments, and our results show that the proposed GNN-SHS model is at least 31.8 times faster and, on an average 671.6 times faster than the comparative method, providing a considerable efficiency advantage.","PeriodicalId":345445,"journal":{"name":"2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127842504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0