Effects of Feature-Based Explanation and Its Output Modality on User Satisfaction With Service Recommender Systems [0.03%]
基于特征的解释及其输出模式对用户对服务推荐系统的满意度的影响
Zhirun Zhang,Li Chen,Tonglin Jiang et al.
Zhirun Zhang et al.
Recent advances in natural language based virtual assistants have attracted more researches on application of recommender systems (RS) into the service product domain (e.g., looking for a restaurant or a hotel), given that RS can assist use...
Emil Rijcken,Uzay Kaymak,Floortje Scheepers et al.
Emil Rijcken et al.
The clinical notes in electronic health records have many possibilities for predictive tasks in text classification. The interpretability of these classification models for the clinical domain is critical for decision making. Using topic mo...
Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems [0.03%]
基于深度强化学习的动态推荐系统的对抗鲁棒性
Siyu Wang,Yuanjiang Cao,Xiaocong Chen et al.
Siyu Wang et al.
Adversarial attacks, e.g., adversarial perturbations of the input and adversarial samples, pose significant challenges to machine learning and deep learning techniques, including interactive recommendation systems. The latent embedding spac...
Barbara I Mahler
Barbara I Mahler
Contagion maps exploit activation times in threshold contagions to assign vectors in high-dimensional Euclidean space to the nodes of a network. A point cloud that is the image of a contagion map reflects both the structure underlying the n...
Research on Spatial-temporal Spread and Risk Profile of the COVID-19 Epidemic Based on Mobile Phone Trajectory Data [0.03%]
基于手机轨迹数据的新冠肺炎时空传播及风险画像研究
Qi Zuo,Jiaman Du,Baofeng Di et al.
Qi Zuo et al.
The COVID-19 epidemic poses a significant challenge to the operation of society and the resumption of work and production. How to quickly track the resident location and activity trajectory of the population, and identify the spread risk of...
Bayesian Joint Modeling of Multivariate Longitudinal and Survival Data With an Application to Diabetes Study [0.03%]
糖尿病数据分析中的多元纵向与生存数据的贝叶斯联合建模方法研究
Yangxin Huang,Jiaqing Chen,Lan Xu et al.
Yangxin Huang et al.
Joint models of longitudinal and time-to-event data have received a lot of attention in epidemiological and clinical research under a linear mixed-effects model with the normal assumption for a single longitudinal outcome and Cox proportion...
Ahmed AbuHalimeh
Ahmed AbuHalimeh
Maintaining data quality is a fundamental requirement for any successful and long-term data management. Providing high-quality, reliable, and statistically sound data is a primary goal for clinical research informatics. In addition, effecti...
The Causal Fairness Field Guide: Perspectives From Social and Formal Sciences [0.03%]
因果公平指南：社会科学和形式科学的视角
Alycia N Carey,Xintao Wu
Alycia N Carey
Over the past several years, multiple different methods to measure the causal fairness of machine learning models have been proposed. However, despite the growing number of publications and implementations, there is still a critical lack of...
When Patients Recover From COVID-19: Data-Driven Insights From Wearable Technologies [0.03%]
可穿戴技术提供的新冠肺炎康复数据驱动新见解
Muzhe Guo,Long Nguyen,Hongfei Du et al.
Muzhe Guo et al.
Coronavirus disease 2019 (COVID-19) is known as a contagious disease and caused an overwhelming of hospital resources worldwide. Therefore, deciding on hospitalizing COVID-19 patients or quarantining them at home becomes a crucial solution ...
FROST: Fallback Voice Apps Recommendation for Unhandled Voice Commands in Intelligent Personal Assistants [0.03%]
基于智能个人助理中未处理语音命令的备用型语音应用推荐系统（FROST）
Qian Hu,Thahir Mohamed,Wei Xiao et al.
Qian Hu et al.
Intelligent personal assistants (IPAs) such as Amazon Alexa, Google Assistant and Apple Siri extend their built-in capabilities by supporting voice apps developed by third-party developers. Sometimes the smart assistant is not able to succe...