Debiaser for Multiple Variables to enhance fairness in classification tasks     

《Information processing & management》2023,60(2):103226

Nowadays assuring that search and recommendation systems are fair and do not apply discrimination among any kind of population has become of paramount importance. This is also highlighted by some of the sustainable development goals proposed by the United Nations. Those systems typically rely on machine learning algorithms that solve the classification task. Although the problem of fairness has been widely addressed in binary classification, unfortunately, the fairness of multi-class classification problem needs to be further investigated lacking well-established solutions. For the aforementioned reasons, in this paper, we present the Debiaser for Multiple Variables (DEMV), an approach able to mitigate unbalanced groups bias (i.e., bias caused by an unequal distribution of instances in the population) in both binary and multi-class classification problems with multiple sensitive variables. The proposed method is compared, under several conditions, with a set of well-established baselines using different categories of classifiers. At first we conduct a specific study to understand which is the best generation strategies and their impact on DEMV’s ability to improve fairness. Then, we evaluate our method on a heterogeneous set of datasets and we show how it overcomes the established algorithms of the literature in the multi-class classification setting and in the binary classification setting when more than two sensitive variables are involved. Finally, based on the conducted experiments, we discuss strengths and weaknesses of our method and of the other baselines.  相似文献   

Artificial intelligence implication on energy sustainability in Internet of Things: A survey     

《Information processing & management》2023,60(2):103212

The massive number of Internet of Things (IoT) devices connected to the Internet is continuously increasing. The operations of these devices rely on consuming huge amounts of energy. Power limitation is a major issue hindering the operation of IoT applications and services. To improve operational visibility, Low-power devices which constitute IoT networks, drive the need for sustainable sources of energy to carry out their tasks for a prolonged period of time. Moreover, the means to ensure energy sustainability and QoS must consider the stochastic nature of the energy supplies and dynamic IoT environments. Artificial Intelligence (AI) enhanced protocols and algorithms are capable of predicting and forecasting demand as well as providing leverage at different stages of energy use to supply. AI will improve the efficiency of energy infrastructure and decrease waste in distributed energy systems, ensuring their long-term viability. In this paper, we conduct a survey to explore enhanced AI-based solutions to achieve energy sustainability in IoT applications. AI is relevant through the integration of various Machine Learning (ML) and Swarm Intelligence (SI) techniques in the design of existing protocols. ML mechanisms used in the literature include variously supervised and unsupervised learning methods as well as reinforcement learning (RL) solutions. The survey constitutes a complete guideline for readers who wish to get acquainted with recent development and research advances in AI-based energy sustainability in IoT Networks. The survey also explores the different open issues and challenges.  相似文献   

Exploring an intervention’s impact on everyday school activities     

Marianne Björn  Idor Svensson 《Support for Learning》2021,36(1):5-19

The focus of this paper is on a group of pupils with reading and writing difficulties who have been participating in an intervention study using assistive technology. That intervention study contained supervised training sessions with reading and writing tasks using an iPad with special supportive applications. The current study is a qualitative investigation of whether there has been any transfer from the intervention, to the pupils’ everyday school activities. Interviews with pupils and their teachers and observations during classroom lectures have been used to collect data. The results show that the pupils were positive to the assistive technology (the applications on the iPads), they found the apps easy to learn how to use and they appreciated the benefits they could give. Even so, only a few of the pupils had found use for and continued to use the tools after the intervention period finished. Possible reasons are that when the novelty wore off, students reverted to their usual study habits and that older students with many teachers and different classrooms were less able to adapt to using the apps. To improve transfer, it is suggested to introduce assistive technology earlier to students, in the younger grades, before study habits have been formed and to inform teachers about the use of AT in the classroom, including what is available and how it can benefit students.  相似文献   

我国高校科研人员Altmetrics评价需求差异研究     

沈兰妮  韩毅 《图书情报工作》2020,64(23):40-52

[目的/意义] 随着Altmetrics研究日益深入，有效识别Altmetrics评价的利益相关方需求对评价指标设计及数据基础设施建设具有重要意义。[方法/过程] 以高校科研人员为对象，利用半结构访谈法识别我国高校科研人员的Altmetrics评价需求，采用问卷调查法获取数据并检验识别出高校科研人员Altmetrics评价需求的差异性。[结果/结论] 研究发现，我国高校科研人员主要有7类Altmetrics评价需求，分别是：研究评价，成果展示，需求发现，学术认可，交流传播，成果操作，学科发展；不同年龄组别高校科研人员在"研究评价"方面有差异，"51-60岁"年龄组较其他年龄组在"研究评价"方面的需求明显偏低；除"交流传播"外，人文学科的6个Altmetrics评价功能需求强度均低于社会学科和自然学科，自然科学与社会科学间的评价需求完全一致；除"研究评价"功能需求在教师与学生存在差异外，6个Altmetrics评价需求对所有不同身份类别高校科学人员没有差异；7类Altmetrics评价需求对高校科研人员具有较高的普遍适用性。  相似文献   

《左传》的文本之争与文本流变     

郭彩萍  李金荣 《图书馆论坛》2020,(6):128-135

《左传》是我国首部以编年为次序、以鲁国十二公为传主,系统记述春秋战国时期历史,对中国文化产生了巨大影响的文史作品。文章在概述《左传》文化价值的基础上,梳理了两千多年来关于《左传》文本与作者的主要学术争论,甄别《左传》流变过程中的22个关键文本。  相似文献   

美国大学图书馆馆藏资源组织进展     

蔡颖  蔡迎春 《图书馆论坛》2020,(6):166-173

文章对美国大学图书馆在信息资源组织与利用方面的创新与实践进行梳理总结,以期为国内图书馆的资源建设提供借鉴。选取美国顶尖的11所大学图书馆作为考察对象,重点介绍它们在馆藏特色文献数据化、资源多样化收集与元数据整合、数字资源全生命周期管理方面的特色和进展。图书馆在资源服务方面所扮演的角色在不断演变,美国大学图书馆正借助先进的信息生产、存储和传递技术,向着实现信息资源共建、共知和共享的目标迈进。国内图书馆需要关注新兴技术,加强特藏资源开发,促进纸质与数字资源融合,优化数字资源业务流程。  相似文献   

上海市嘉定区高中生体育学习兴趣的现状调查及对策研究     

王莹 《当代体育科技》2020,(10):255-256

本文采用文献资料、问卷调查、数理统计等研究方法对上海市嘉定区高中生体育学习兴趣进行调查。结果表明,学生体育学习兴趣总体比较高,男生多源于内在驱动,女生多受外界影响。他们对体育活动的关注程度较高并有一定的理性认识。男生比较喜欢集体性和有身体对抗性项目,女生喜欢相对柔和一些的运动项目。学生希望体育课堂内容丰富多彩,并希望对课堂有一定的自由支配权。  相似文献   

体育与健康的研究综述     

张朝翔 《当代体育科技》2020,(11):10-11

全民都获取全面的健康是能否成为强国的重要标准之一,是"以人为本"的基本体现。在健康中国行动的背景下,国家越来越重视以体育健身来促进人民的健康发展,也相继出台了一系列关于全民健康相关的文件和纲要。本文通过对国内国外研究现状进行了分析,通过对体育健康的梳理,了解体育健康目前发展现状,分析不足之处,为体育健康在以后的界定打下基础。  相似文献   

浅谈田径训练方法的特点及其新趋势     

侯珏文 《当代体育科技》2020,(11):52-52,54

与其他的体育运动项目相比,田径运动的历史要悠久许多。在田径运动项目中,成绩高低与田径训练中使用的训练方式有着很大的关联,同时田径训练方式的使用得当与否对于运动员的心理素质、训练效率、运动负荷等方面的提升有着十分显著的影响。本文就从当前的田径训练方式的特征分析出发,并以此为基础展望了未来田径训练方式的发展新趋势,以期对今后的田径训练方式发展提供相应的帮助。  相似文献   

2016-2017赛季CBA常规赛队伍竞技实力分析     

李雨洁 《当代体育科技》2020,(11):225-226

CBA2016-2017赛季常规赛已经结束,通过数据分析法、逻辑分析法等对20支队伍在常规赛38轮的比赛数据(如攻防效率、主场优势、与季后赛队伍和非季后赛队伍比赛的差异、每节净胜分、逆转能力)进行统计分析。针对中国男篮在攻防效率,球队队员的心理承受能力及外援的引进等方面提出发展对策,旨在为CBA及中国男篮的发展提供理论参考。  相似文献