https://www.fox.temple.edu/directory/marco-shaojun-qin-tuk40739
Marketing Science, 41 (6), 1053-1056. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/mksc.2022.1407. Luo, X., Qin, M., Fang, Z., & Qu, Z. (2021). Artificial Intelligence Coaches for Sales Agents: Caveats and Solutions. Journal of Marketing, 85 (2), 14-32. doi: 10.1177/0022242920956676.
https://www.fox.temple.edu/sites/fox/files/Frontiers-Machines-versus-Humans-The-Impact-of-Artificial-Intelligence-Chatbot-Disclosure-on-Customer-Purchases.pdf
Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases Xueming Luo,aSiliang Tong,aZheng Fang,bZhe Quc
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https://cis.temple.edu/~yu/research/thesis00.pdf
参参参参数数数数调调调调整(整(整(整(Model Parameter Adaptation)[54-63,36,79,82,85],是把原有SI系统的HMM 参数作为先验知识(a Prior information), 遵照Bayes估计准则求出达到最大后验概率(Maximum a Posterior,MAP)时系统采用的最佳参数。
https://www.fox.temple.edu/faculty-research/institutes-centers/global-institute-artificial-intelligence-business-analytics/conferences/2023-conference-artificial-intelligence-machine-learning-business-analytics
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https://cis.temple.edu/~pwang/papers.html
A New Approach for Induction: From a Non-Axiomatic Logical Point of View [Philosophy, Logic, and Artificial Intelligence, 53-85, Zhongshan University Press, 1999]
https://cis.temple.edu/~latecki/Papers/Quan_DRBANET_ICIP_2022.pdf
ABSTRACT Due to the powerful ability to encode image details and semantics, many lightweight dual-resolution networks have been proposed in recent years. However, most of them ignore the benefit of boundary information. This paper introduces a lightweight dual-resolution network, called DRBANet, aim-ing to refine semantic segmentation results with the aid of boundary information. DRBANet also ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedCPD.pdf
Both challenges pertain to optimizing personalized feder-ated learning, yet their solutions don’t cross-apply. Parame-ter decoupling protects local knowledge to prevent forgetting but falls short on sharing global insights, thus struggling with generalization. On the other hand, prototype learning curbs overfitting and boosts generalization by sharing class proto-types, yet it misses ...
https://sites.temple.edu/pcrs/2023/11/12/how-online-communication-platforms-facilitated-human-trafficking-and-rethinking-the-websites-as-hosts-theory/
Usually, the purpose of an algorithm is too filter content to the user’s liking and suggest videos or posts that the user is likely to engage in. [85] However, an analysis of the social media site “YouTube” found that 64 percent of users came across videos on the platform that seemed false or untrue. [86]
https://alumni.temple.edu/s/705/alumni/16/interior_1col_breadcrumb_nav_nosocial.aspx?pgid=12900
Margaret A. Foti Klein College of Media and Communication BA ’75, MA ’85, PhD ’95 Margaret Foti is the chief executive officer of the American Association for Cancer Research (AACR), the first and largest cancer research organization in the world.