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Privacy-Enhanced ZKP-Inspired Framework for Balanced Federated Learning 隐私增强的zkp启发框架，用于平衡联邦学习
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-26438-2_20
S. Marzo, Royston Pinto, Lucy McKenna, R. Brennan
{"title":"Privacy-Enhanced ZKP-Inspired Framework for Balanced Federated Learning","authors":"S. Marzo, Royston Pinto, Lucy McKenna, R. Brennan","doi":"10.1007/978-3-031-26438-2_20","DOIUrl":"https://doi.org/10.1007/978-3-031-26438-2_20","url":null,"abstract":"","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"366 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134018030","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
Multi-Graph Convolutional Neural Network for Breast Cancer Multi-task Classification 多图卷积神经网络在乳腺癌多任务分类中的应用
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-26438-2_4
Mohamed O. Ibrahim, Shagufta Henna, Garry Cullen
{"title":"Multi-Graph Convolutional Neural Network for Breast Cancer Multi-task Classification","authors":"Mohamed O. Ibrahim, Shagufta Henna, Garry Cullen","doi":"10.1007/978-3-031-26438-2_4","DOIUrl":"https://doi.org/10.1007/978-3-031-26438-2_4","url":null,"abstract":"","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127803248","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
AI and ML in School Level Computing Education: Who, What and Where? 学校级计算机教育中的AI和ML:谁，什么，在哪里?
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-26438-2_16
Joyce Mahon, Brett A. Becker, Brian Mac Namee
{"title":"AI and ML in School Level Computing Education: Who, What and Where?","authors":"Joyce Mahon, Brett A. Becker, Brian Mac Namee","doi":"10.1007/978-3-031-26438-2_16","DOIUrl":"https://doi.org/10.1007/978-3-031-26438-2_16","url":null,"abstract":"","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114901178","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
How Short is a Piece of String? : The Impact of Text Length and Text Augmentation on Short-text Classification 一根绳子有多短?:文本长度和文本增强对短文本分类的影响
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.21427/D7151M
Austin Mccartney, Svetlana Hensman, L. Longo
{"title":"How Short is a Piece of String? : The Impact of Text Length and Text Augmentation on Short-text Classification","authors":"Austin Mccartney, Svetlana Hensman, L. Longo","doi":"10.21427/D7151M","DOIUrl":"https://doi.org/10.21427/D7151M","url":null,"abstract":"Recent increases in the use and availability of short messages have created opportunities to harvest vast amounts of information through machine-based classification. However, traditional classification methods have failed to yield accuracies comparable to classification accuracies on longer texts. Several approaches have previously been employed to extend traditional methods to overcome this problem, including the enhancement of the original texts through the construction of associations with external data supplementation sources. Existing literature does not precisely describe the impact of text length on classification performance. This work quantitatively examines the changes in accuracy of a small selection of classifiers using a variety of enhancement methods, as text length progressively decreases. Findings, based on ANOVA testing at a 95% confidence interval, suggest that the performance of classifiers using simple enhancements decreases with decreasing text length, but that the use of more sophisticated enhancements risks over-supplementation of the text and consequent concept drift and classification performance decrease as text length increases.","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121449769","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: 3
A Comparison on the Classification of Short-text Documents Using Latent Dirichlet Allocation and Formal Concept Analysis 基于潜狄利克雷分配和形式概念分析的短文本文档分类比较
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.21427/D7XR39
Noel Rogers, L. Longo
{"title":"A Comparison on the Classification of Short-text Documents Using Latent Dirichlet Allocation and Formal Concept Analysis","authors":"Noel Rogers, L. Longo","doi":"10.21427/D7XR39","DOIUrl":"https://doi.org/10.21427/D7XR39","url":null,"abstract":"With the increasing amounts of textual data being collected online, automated text classification techniques are becoming increasingly important. However, a lot of this data is in the form of short-text with just a handful of terms per document (e.g. Text messages, tweets or Facebook posts). This data is generally too sparse and noisy to obtain satisfactory classification. Two techniques which aim to alleviate this problem are Latent Dirichlet Allocation (LDA) and Formal Concept Analysis (FCA). Both techniques have been shown to improve the performance of short-text classification by reducing the sparsity of the input data. The relative performance of classifiers that have been enhanced using each technique has not been directly compared so, to address this issue, this work presents an experiment to compare them, using supervised models. It has shown that FCA leads to a much higher degree of correlation among terms than LDA and initially gives lower classification accuracy. However, once a subset of features is selected for training, the FCA models can outperform those trained on LDA expanded data.","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115603347","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: 2
Safe Lane-Changing in CAVs Using External Safety Supervisors: A Review 使用外部安全监控器的自动驾驶汽车安全变道:综述
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-26438-2_41
Lalu Prasad Lenka, Mélanie Bouroche
{"title":"Safe Lane-Changing in CAVs Using External Safety Supervisors: A Review","authors":"Lalu Prasad Lenka, Mélanie Bouroche","doi":"10.1007/978-3-031-26438-2_41","DOIUrl":"https://doi.org/10.1007/978-3-031-26438-2_41","url":null,"abstract":"","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115346517","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
Exploring Abstractive vs. Extractive Summarisation Techniques for Sports News 探索体育新闻的抽象与抽取摘要技术
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-26438-2_29
AhmedSalah Jouda
{"title":"Exploring Abstractive vs. Extractive Summarisation Techniques for Sports News","authors":"AhmedSalah Jouda","doi":"10.1007/978-3-031-26438-2_29","DOIUrl":"https://doi.org/10.1007/978-3-031-26438-2_29","url":null,"abstract":"","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130008232","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
Run-Time Norms Synthesis in Dynamic Environments with Changing Objectives 动态环境下目标变化的运行规范综合
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-26438-2_36
Maha Riad, Saeedeh Ghanadbashi, F. Golpayegani
{"title":"Run-Time Norms Synthesis in Dynamic Environments with Changing Objectives","authors":"Maha Riad, Saeedeh Ghanadbashi, F. Golpayegani","doi":"10.1007/978-3-031-26438-2_36","DOIUrl":"https://doi.org/10.1007/978-3-031-26438-2_36","url":null,"abstract":"","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126966968","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
CouRGe: Counterfactual Reviews Generator for Sentiment Analysis 课程:情感分析的反事实评论生成器
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-26438-2_24
Diego Carraro, Kenneth N. Brown
{"title":"CouRGe: Counterfactual Reviews Generator for Sentiment Analysis","authors":"Diego Carraro, Kenneth N. Brown","doi":"10.1007/978-3-031-26438-2_24","DOIUrl":"https://doi.org/10.1007/978-3-031-26438-2_24","url":null,"abstract":"","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124364955","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
An Intelligent Empowering Agent (IEA) to Provide Easily Understood and Trusted Health Information Appropriate to the User Needs 智能授权代理(IEA)提供易于理解和可信的健康信息，适合用户的需要
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-26438-2_14
M. Alfano, J. Kellett, B. Lenzitti, M. Helfert
{"title":"An Intelligent Empowering Agent (IEA) to Provide Easily Understood and Trusted Health Information Appropriate to the User Needs","authors":"M. Alfano, J. Kellett, B. Lenzitti, M. Helfert","doi":"10.1007/978-3-031-26438-2_14","DOIUrl":"https://doi.org/10.1007/978-3-031-26438-2_14","url":null,"abstract":"","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125193075","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
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