Learning causal temporal relation and feature discrimination for anomaly detection. IEEE Transactions on Image Processing, vol. 30, pp. 3513–3527, 2021. DOI: https://doi.org/10.1109/TIP.2021.3062192. Article Google Scholar W. J. Shi, G. Huang, S. J. Song, C. Wu. Temporal-spatial ...
摘要:We explore the welfare implications ofdata-trackingtechnologies that enable firms to collect consumer data and use it for price discrimination. The model we develop centers around two features: competition between firms and consumers’ level of sophistication. Our baseline environment features a fir...
In this context, the purpose of this paper is to share recruitment and assessment strategies, along with the lessons learnt, that we used in our research with hard-to-reach populations—specifically, Afghan refugees and rural Mexican immigrant women living in the United States....
Therefore, this paper focuses on deep learning-based speech analysis for AD detection. This research paper is organized as follows: the objects of this review in the “Objectives” section, the search and selection process is introduced in the “Materials and methods” section, the results in th...
To reiterate, while the threat of discrimination litigation certainly created the impetus to ask these questions, the intent of regulators has never been to rely on lawsuits to effect change [31]. On the contrary, as summarized in Albemarle Paper Co. v. Moody, Title VII’s preference for ...
U. et al. Selective effects of 5-HT2C receptor modulation on performance of a novel valence-probe visual discrimination task and probabilistic reversal learning in mice. Psychopharmacology 235, 2101–2111 (2018). Article CAS PubMed PubMed Central Google Scholar Tran, T. P. et al. The touch...
David T. Burkam, “Educational Inequality and Children: The Preschool and Early School Years,” inThe Economics of Inequality, Poverty, and Discrimination in the 21st Century, ed. Robert S. Rycroft (Santa Barbara, CA: Praeger, 2013), 381-397. ...
2). The other models performed similarly, they had a good calibration with intercept values and slope values close to 0 and 1, respectively, and acceptable discrimination with c-statistic for benefit values around 0.6. Using the S-learner or the T-learner led to equivalent performances for the...
Escape from conflicts. Some people do not feel safe in their countries, and they move to get this feeling of safety. Among the motivating factors are political repression, discrimination, and human rights abuses. Educational opportunities. A higher quality of education attracts students and scholars...
housing discrimination, zoning, infrastructure, and other tools that concentrated environmental harms and reduced environmental goods in minoritized neighborhoods long before the present-day, contribute to procedural injustice (Boone et al.2009; Grove et al.2018). Procedural justice studies have also unde...