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   

Diversity Literary Awards: A Tool for Assessing an Academic Library’s Collection     

Laurel Kristick 《资料收集管理》2020,45(2):151-161

Abstract

Diversity literary awards and other sources were used to create a list of high-quality titles written by and about underrepresented groups. This list was used to assess the diversity and inclusiveness of the library collections of a land-grant university in the Pacific Northwest and compare it to peer institutions. Gaps in the collection and acquisition processes were identified and will be used to improve the processes to increase the number of diverse titles added to the library’s collections.  相似文献   

学术乃天下之公器——哈佛燕京图书馆馆长郑炯文访谈     

谢欢 《中国图书馆学报》2020,46(4):126-131

2019年7月22日,南京大学谢欢博士对哈佛燕京图书馆馆长郑炯文先生就北美东亚图书馆发展相关问题进行访谈。东亚图书馆肇始于欧洲,起源于传教士对文史哲印刷文献的专题收集,与汉学发展紧密相关；美国东亚图书馆在第二次世界大战后取得了快速的发展,如今美国已成为西方世界东亚研究的中心。华人图书馆员是北美东亚图书馆从业人员中非常重要的群体,三代华人图书馆员各具专长,为北美东亚图书馆发展做出了贡献。郑炯文先生自担任哈佛燕京图书馆馆长以来,主要致力于以下三方面工作:①整理裘开明、吴文津担任馆长期间收集的文献；②开放馆藏,将哈佛燕京图书馆的资源面向全世界学者开放；③推动中美图书馆员交流合作项目。  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   

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   

任务驱动教学法在高校足球普修课中的作用     

覃志勇 《当代体育科技》2020,(11):84-84,86

在我国不断改革和促进中国教育制度发展的同时,教学重点更多的放在了培养学生的主观能动性上。足球普修课程是适用于所有学生的,要根据大多数学生足球能力的基本情况进行足球教学活动。将任务驱动教学方法应用于足球普修课程中,有助于激发学生学习足球的学习兴趣。基于此,本文针对当前我国高校足球普修训练课程中遇到的问题,提出一些建议,以供大家参考交流。  相似文献