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   

The relationship between inertial measurement unit-derived ‘force signatures’ and ground reaction forces during cricket pace bowling     

Samuel J. Callaghan  Robert G. Lockie  Warren A. Andrews  Robert F. Chipchase  Sophia Nimphius 《Sports biomechanics / International Society of Biomechanics in Sports》2020,19(3):307-321

Abstract

This study assessed the reliability and validity of segment measured accelerations in comparison to front foot contact (FFC) ground reaction force (GRF) during the delivery stride for cricket pace bowlers. Eleven recreational bowlers completed a 30-delivery bowling spell. Trunk- and tibia-mounted inertial measurement units (IMUs) were used to measure accelerations, converted to force, for comparisons to force plate GRF discrete measures. These measures included peak force, impulse and the continuous force–time curve in the vertical and braking (horizontal) planes. Reliability and validity was determined by intra-class correlation coefficients (ICC), coefficient of variation (CV), Bland–Altman plots, paired sample t-tests, Pearson’s correlation and one-dimensional (1D) statistical parametrical mapping (SPM). All ICC (0.90–0.98) and CV (4.23–7.41%) were acceptable, except for tibia-mounted IMU braking peak force (CV = 12.44%) and impulse (CV = 18.17%) and trunk vertical impulse (CV = 17.93%). Bland–Altman plots revealed wide limits of agreement between discrete IMU force signatures and force plate GRF. The 1D SPM outlined numerous significant (p < 0.01) differences between trunk- and tibia-located IMU-derived measures and force plate GRF traces in vertical and braking (horizontal) planes. The trunk- and tibia-mounted IMUs appeared to not represent the GRF experienced during pace bowling FFC when compared to a gold-standard force plate.  相似文献   

基于ICWGT和灰色关联分析法的起重机安全评价     

肖汉斌  熊楚宸  祝锋  刘敏 《上海海事大学学报》2020,41(2):117-122

针对目前起重机安全评价过于依赖主观权重且忽视起重机安全状态变化趋势的问题，建立基于改进博弈论组合赋权法（improved combination weighting method of game theory，ICWGT）和灰色关联分析法的起重机安全评价体系。在该评价体系中，收集样本数据以确定评价值，构建评价等级空间来计算起重机行为特征序列与标准行为特征序列的关联系数。运用ICWGT在层次分析法和信息熵 未确知测度理论确定的主、客观权重中寻找平衡。充分考虑专家经验和样本数据，确定优化权重以改善关联系数的分配问题，从而获取起重机灰色关联度评价值和安全等级，旨在对起重机安全状态变化趋势进行更加准确的定量描述和定性分析。实例分析验证了该评价体系的有效性。  相似文献   

基于正态云可拓理论的锚泊安全评价     

鲁峰  李伟  宁君  于仁海 《上海海事大学学报》2020,41(4):30-35

为提高锚泊安全评价精度，保障船舶锚泊安全，针对传统锚泊安全评价方法未考虑评价等级界限的不确定性和模糊性等问题，将正态云可拓理论应用于锚泊安全评价中。采用层次分析法和基于可拓学的简单关联函数确定权重的方法分别确定锚泊安全评价指标的主观和客观权重，通过经验因子将主观与客观权重进行结合。构建基于正态云可拓理论的锚泊安全评价模型，计算待评物元与标准可拓物元的关联度，通过信息熵理论确定锚泊安全等级。根据信息熵理论定义可信因子，使得评价结果的可信度易于定量计算。实例计算验证了本模型的有效性和优越性。  相似文献   

北京张坊地区中上元古界中岩溶发育与构造作用     

刘建明  张玉修  曾璐  琚宜文  芮小平  乔小娟 《中国科学院大学学报》2019,36(2):208-217

张坊岩溶地貌是中国北方岩溶类型的典型代表。分析张坊地区的地层展布与构造变形，探讨地层-构造演化与岩溶发育的关系。研究区主要出露近水平的中上元古界碳酸盐岩夹细碎屑岩和硅质岩，主要经历印支期（或更早期）伸展状态下的固态流变变形、燕山期的逆冲-褶皱变形和房山岩体期后的伸展变形等多期次构造演化，造就了研究区复杂的褶皱、断裂、构造裂隙和岩溶地貌特征。大型溶洞的发育主要与中上元古界的岩性-地层展布、中生代的逆冲断裂和新生代的伸展断裂等地质作用有关。在多阶段沉积-变形等地质作用控制下，发育了中元古代、古生代、中生代和新生代4期古岩溶，形成构造抬升侵蚀溶蚀、构造反转溶蚀冲蚀和多次抬升溶蚀侵蚀等3种主要溶洞发育类型。  相似文献   

Rater Certification Tests: A Psychometric Approach     

Yigal Attali 《Educational Measurement》2019,38(2):6-13

Rater training is an important part of developing and conducting large‐scale constructed‐response assessments. As part of this process, candidate raters have to pass a certification test to confirm that they are able to score consistently and accurately before they begin scoring operationally. Moreover, many assessment programs require raters to pass a calibration test before every scoring shift. To support the high‐stakes decisions made on the basis of rater certification tests, a psychometric approach for their development, analysis, and use is proposed. The circumstances and uses of these tests suggest that they are expected to have relatively low reliability. This expectation is supported by empirical data. Implications for the development and use of these tests to ensure their quality are discussed.  相似文献   

Validity and reliability of a linear positional transducer across commonly practised resistance training exercises     

Harry F. Dorrell  Joseph M. Moore  Mark F. Smith  Thomas I. Gee 《Journal of sports sciences》2019,37(1):67-73

This study investigated the validity and reliability of the GymAware PowerTool (GPT). Thirteen resistance trained participants completed three visits, consisting of three repetitions of free-weight back squat, bench press, deadlift (80% one repetition maximum), and countermovement jump. Bar displacement, peak and mean velocity, peak and mean force, and jump height were calculated using the GPT, a three-dimensional motion capture system (Motion Analysis Corporation; 150 Hz), and a force plate (Kistler; 1500 Hz). Least products regression were used to compare agreeability between devices. A within-trial one-way ANOVA, typical error (TE; %), and smallest worthwhile change (SWC) were used to assess reliability. Regression analysis resulted in R² values of >0.85 for all variables excluding deadlift mean velocity (R² = 0.54–0.69). Significant differences were observed between visits 3-2 for bench press bar displacement (0.395 ± 0.055 m; 0.383 ± 0.053 m), and deadlift bar displacement (0.557 ± 0.034 m; 0.568 ± 0.034 m). No other significant differences were found. Low to moderate TE (0.6–8.8%) were found for all variables, with SWC ranging 1.7–7.4%. The data provides evidence that the GPT can be used to measure kinetic and kinematic outputs, however, care should be taken when monitoring deadlift performance.  相似文献   

Writer identification approach based on bag of words with OBI features     

Amal Durou  Ibrahim Aref  Somaya Al-Maadeed  Ahmed Bouridane  Elhadj Benkhelifa 《Information processing & management》2019,56(2):354-366

Handwriter identification aims to simplify the task of forensic experts by providing them with semi-automated tools in order to enable them to narrow down the search to determine the final identification of an unknown handwritten sample. An identification algorithm aims to produce a list of predicted writers of the unknown handwritten sample ranked in terms of confidence measure metrics for use by the forensic expert will make the final decision.Most existing handwriter identification systems use either statistical or model-based approaches. To further improve the performances this paper proposes to deploy a combination of both approaches using Oriented Basic Image features and the concept of graphemes codebook. To reduce the resulting high dimensionality of the feature vector a Kernel Principal Component Analysis has been used. To gauge the effectiveness of the proposed method a performance analysis, using IAM dataset for English handwriting and ICFHR 2012 dataset for Arabic handwriting, has been carried out. The results obtained achieved an accuracy of 96% thus demonstrating its superiority when compared against similar techniques.  相似文献   

An end-to-end deep generative approach with meta-learning optimization for zero-shot object classification     

《Information processing & management》2023,60(2):103233

Zero-shot object classification aims to recognize the object of unseen classes whose supervised data are unavailable in the training stage. Recent zero-shot learning (ZSL) methods usually propose to generate new supervised data for unseen classes by designing various deep generative networks. In this paper, we propose an end-to-end deep generative ZSL approach that trains the data generation module and object classification module jointly, rather than separately as in the majority of existing generation-based ZSL methods. Due to the ZSL assumption that unseen data are unavailable in the training stage, the distribution of generated unseen data will shift to the distribution of seen data, and subsequently causes the projection domain shift problem. Therefore, we further design a novel meta-learning optimization model to improve the proposed generation-based ZSL approach, where the parameters initialization and the parameters update algorithm are meta-learned to assist model convergence. We evaluate the proposed approach on five standard ZSL datasets. The average accuracy increased by the proposed jointly training strategy is 2.7% and 23.0% for the standard ZSL task and generalized ZSL task respectively, and the meta-learning optimization further improves the accuracy by 5.0% and 2.1% on two ZSL tasks respectively. Experimental results demonstrate that the proposed approach has significant superiority in various ZSL tasks.  相似文献   

Actions for sociopolitical consciousness in a high school science class: A case study of ninth grade class with predominantly indigenous students     

Bhaskar Upadhyay  Erin Atwood  Baliram Tharu 《科学教学研究杂志》2020,57(7):1119-1147

This case study explores how a group of Grade 9 students engaged in sociopolitical discourses and actions in a science class in a mostly indigenous student school in Nepal. The study used sociopolitical consciousness (SPC) as a framework to document and understand indigenous students’ SPC-oriented science interactions and subsequent social change actions. We used ethnographic methods of data collection over 6 months. The study focused on the actions of 4 girls and 2 boys belonging to the indigenous Tharu group. Data were analyzed using iterative qualitative methods. The study findings show that students are capable of engaging in critical thinking, critical reflecting, and taking actions for social change. Additionally, students are competent to link their experiences with social, structural, and political discrimination to the relevant science content they learn. The study presents four thematic findings related to SPC and science teaching and learning: Fostering social justice awareness in science class, fostering structural understanding of inequities in sickle cell disease, fostering sociopolitical actions for sickle cell disease, and the teacher's activist pedagogy for SPC in science learning. Implications of the study are that culturally relevant pedagogy helps indigenous students to become sociopolitically more aware of the links between science and social change. Adding aspects of critical pedagogies in science teaching could encourage students to become more sociopolitically reflective about science learning.  相似文献