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Cryptocurrency Volatility Index: An Efficient Way to Predict the Future CVI 加密货币波动指数:预测未来CVI的有效方法
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-26438-2_28
Annette Nguyen, M. Crane, Marija Bezbradica
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引用次数: 2
Artificial Intelligence and Cognitive Science - 20th Irish Conference, AICS 2009, Dublin, Ireland, August 19-21, 2009, Revised Selected Papers 人工智能与认知科学-第20届爱尔兰会议，AICS 2009，都柏林，爱尔兰，2009年8月19-21日，修订论文选集
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-17080-5
Lorcan Coyle, J. Freyne
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引用次数: 5
Activist: A New Framework for Dataset Labelling 活动家:数据集标签的新框架
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.21427/D7QK8M
Jack O'Neill, Sarah Jane Delany, Brian Mac Namee
{"title":"Activist: A New Framework for Dataset Labelling","authors":"Jack O'Neill, Sarah Jane Delany, Brian Mac Namee","doi":"10.21427/D7QK8M","DOIUrl":"https://doi.org/10.21427/D7QK8M","url":null,"abstract":"Acquiring labels for large datasets can be a costly and timeconsuming process. This has motivated the development of the semisupervised learning problem domain, which makes use of unlabelled data — in conjunction with a small amount of labelled data — to infer the correct labels of a partially labelled dataset. Active Learning is one of the most successful approaches to semi-supervised learning, and has been shown to reduce the cost and time taken to produce a fully labelled dataset. In this paper we present Activist ; a free, online, state-of-theart platform which leverages active learning techniques to improve the efficiency of dataset labelling. Using a simulated crowd-sourced label gathering scenario on a number of datasets, we show that the Activist software can speed up, and ultimately reduce the cost of label acquisition.","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"238 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":"130949618","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
A Machine Learning Approach for Modeling and Analyzing of Driver Performance in Simulated Racing 模拟赛车中驾驶员性能建模与分析的机器学习方法
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-26438-2_8
Fazilat Hojaji, Adam J. Toth, M. Campbell
{"title":"A Machine Learning Approach for Modeling and Analyzing of Driver Performance in Simulated Racing","authors":"Fazilat Hojaji, Adam J. Toth, M. Campbell","doi":"10.1007/978-3-031-26438-2_8","DOIUrl":"https://doi.org/10.1007/978-3-031-26438-2_8","url":null,"abstract":"","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"9 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":"121679117","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
Personalised Filter Bias with Google and DuckDuckGo: An Exploratory Study 个性化过滤器偏差与谷歌和DuckDuckGo:一项探索性研究
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-26438-2_39
Awais Akbar, Simon Caton, R. Bierig
{"title":"Personalised Filter Bias with Google and DuckDuckGo: An Exploratory Study","authors":"Awais Akbar, Simon Caton, R. Bierig","doi":"10.1007/978-3-031-26438-2_39","DOIUrl":"https://doi.org/10.1007/978-3-031-26438-2_39","url":null,"abstract":"","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"120 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":"122390573","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
Computational Phenotyping of Decision-Making over Voice Interfaces 语音界面决策的计算表型
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-26438-2_37
Lili Zhang, Ruben Mukherjee, Piyush Wadhai, W. Muehlhausen, T. Ward
{"title":"Computational Phenotyping of Decision-Making over Voice Interfaces","authors":"Lili Zhang, Ruben Mukherjee, Piyush Wadhai, W. Muehlhausen, T. Ward","doi":"10.1007/978-3-031-26438-2_37","DOIUrl":"https://doi.org/10.1007/978-3-031-26438-2_37","url":null,"abstract":"","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"1 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":"131017411","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
Towards a Deep Learning-based Activity Discovery System 基于深度学习的活动发现系统
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.21427/J899-0254
Eoin Rogers, John D. Kelleher, R. Ross
{"title":"Towards a Deep Learning-based Activity Discovery System","authors":"Eoin Rogers, John D. Kelleher, R. Ross","doi":"10.21427/J899-0254","DOIUrl":"https://doi.org/10.21427/J899-0254","url":null,"abstract":". Activity discovery is a challenging machine learning problem where we seek to uncover new or altered behavioural patterns in sensor data. In this paper we motivate and introduce a novel approach to activity discovery based on modern deep learning techniques. We hypothesise that our proposed approach can deal with interleaved datasets in a more intelligent manner than most existing AD methods. We also build upon prior work building hierarchies of activities that capture the inherent ag-gregate nature of complex activities and show how this could plausibly be adapted to work with the deep learning technique we present. Finally, we briefly talk about the challenge of evaluating activity discovery systems in a fair way and outline our future plans for implementing this model.","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":"132919802","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
WiFi-Based Human Activity Recognition Using Attention-Based BiLSTM 基于wifi的基于注意力的BiLSTM人类活动识别
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-26438-2_10
Amany Elkelany, Robert J Ross, Susan Mckeever
{"title":"WiFi-Based Human Activity Recognition Using Attention-Based BiLSTM","authors":"Amany Elkelany, Robert J Ross, Susan Mckeever","doi":"10.1007/978-3-031-26438-2_10","DOIUrl":"https://doi.org/10.1007/978-3-031-26438-2_10","url":null,"abstract":"","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"1 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":"132057960","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
Variable-Relationship Guided LNS for the Car Sequencing Problem 汽车排序问题的变量关系导向LNS
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-26438-2_34
Filipe Souza, Diarmuid Grimes, B. O’Sullivan
{"title":"Variable-Relationship Guided LNS for the Car Sequencing Problem","authors":"Filipe Souza, Diarmuid Grimes, B. O’Sullivan","doi":"10.1007/978-3-031-26438-2_34","DOIUrl":"https://doi.org/10.1007/978-3-031-26438-2_34","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":"124852429","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
Bayesian Optimization with Multi-objective Acquisition Function for Bilevel Problems 双层问题的多目标获取函数贝叶斯优化
Irish Conference on Artificial Intelligence and Cognitive Science Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-26438-2_32
V. Dogan, S. Prestwich
{"title":"Bayesian Optimization with Multi-objective Acquisition Function for Bilevel Problems","authors":"V. Dogan, S. Prestwich","doi":"10.1007/978-3-031-26438-2_32","DOIUrl":"https://doi.org/10.1007/978-3-031-26438-2_32","url":null,"abstract":"","PeriodicalId":286718,"journal":{"name":"Irish Conference on Artificial Intelligence and Cognitive Science","volume":"72 1 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":"129670175","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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