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   

BIBCO Training and Its Influence on PCC Partnerships     

Kate Harcourt 《Cataloging & classification quarterly》2020,58(3-4):257-263

Abstract

BIBCO is one of four programs in the PCC. This article summarizes the development of BIBCO and how its cataloging training program was strikingly different from the other three programs: NACO, CONSER and SACO. BIBCO grew out of the 1990–1991 recession which created widespread anxiety over the cost of original cataloging. BIBCO attempted to reduce the cost without sacrificing quality and increase record production through the use of core records. The early training emphasized the value of cooperation. PCC’s strength in this area is seen today in its partnerships and leadership in metadata initiatives such as linked data.  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   

在军校引入TMF训练方法可行性的研究     

杨祥红  王正磊  陈宏昱  窦文博 《当代体育科技》2020,(1):33-34

抗阻力训练是军校体能训练常用的训练方法,而训练至肌肉失败(TMF)作为抗阻力训练中一种新兴的训练方法,已经在健身领域引起越来越广泛的关注,并已经逐步应用于专业运动员训练中。TMF在军校这类对体能要求较高的机构内具有广阔的应用前景,但现阶段TMF在军校还未得到推广,大部分军校仍然沿用过去的传统抗阻力训练模式。本文从介绍抗阻力训练与TMF的相关概念出发,分析了TMF的作用机制,提出了在军校训练中引入TMF的可行训练项目。为了进一步研究TMF对于军校学员体能训练效果的影响,本文选取成绩相近的部分学员进行分组对照实验,运用统计学方法处理实验结果,从而证明了TMF对于学员体能具有明显提升作用,最后对本次研究工作进行了总结和展望。  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   

欧洲足球不同年龄层国家队成绩的相关性分析     

赵柏林  袁柏青 《当代体育科技》2020,(11):241-241,243

根据对世界四大足球赛的数据分析,发现欧洲国家青年队的成绩与国家队成绩的相关性比较小,其直接表现为欧洲国家往往在世界杯表现优越,而在低级别的青年队和少年队的表现却不如南美和非洲国家,究其原因,欧洲国家凭借着出色的青训系统,培养和归化了大量的海外人才,欧洲大多数国家支持双重国籍,欧洲一体化能真正落实到资源共享,所以欧洲国家青年队成绩比不上南美和非洲,但国家队却能优势明显。  相似文献