Results 51 to 60 of about 1,026 (182)

Enhancing next POI recommendation via multi-graph modeling and multi-granularity contrastive learning

Journal of King Saud University: Computer and Information Sciences
Next Point-of-Interest (POI) recommendation is a core task in location-aware services and mobile applications, aiming to predict a user’s next likely location based on historical check-in behavior.
Yifan Wang, Qi Jiang
doaj   +1 more source

Update on Menopause Hormone Therapy; Current Indications and Unanswered Questions

Clinical Endocrinology, EarlyView.
ABSTRACT Objective To provide clinicians involved in managing menopause with a summary of current evidence surrounding menopause hormone therapy (MHT). Design The authors evaluate and synthesize existing pooled evidence relating to MHT's clinical indications, efficacy, and safety and explore the limitations of existing data. Patients The review focuses
Annice Mukherjee, Susan R. Davis
wiley   +1 more source

ASTHN: Adaptive Spatio-Temporal Hypergraph Network for Next POI Recommendation

ISPRS International Journal of Geo-Information
The widespread use of mobile Internet- and location-based services has generated large-scale check-in data in location-based social networks, creating opportunities for intelligent urban-mobility analysis and personalized mobility services.
Fang Liu, Tianrui Li, Jiangtao Li
doaj   +1 more source

POI recommendation method using LSTM-attention in LBSN considering privacy protection

Complex & Intelligent Systems, 2021
Aiming at the problems of traditional point of interest (POI), such as sparse data, lack of negative feedback, and dynamic and periodic changes of user preferences, a POI recommendation method using deep learning in location-based social networks (LBSN ...
Kun Wang, Xiaofeng Wang, Xuan Lu
doaj   +1 more source

The Random Power Function for Tests Based on Pivotal Quantities

International Statistical Review, EarlyView.
Summary In clinical trials planning, evaluation of the probability of success of an experiment is of central interest, for instance, in sample size determination. This assessment typically involves analyses of the power function of a test on a parameter of interest, such as a relevant treatment effect.
Fulvio De Santis, Stefania Gubbiotti, Francesco Mariani   +2 more
wiley   +1 more source

A Hypergraph Structure-Based Aggregation Network for Next POI Recommendation

IEEE Access
The next Point-of-Interest (POI) recommendation can effectively help users find places they are interested in, which is one of the important applications of location-based social networks (LBSNs).
Zhen Zhang, Jun Chen, Xiangguo Zhao, Yaqi Gong, Jianyu Ren, Jintao Ouyang   +5 more
doaj   +1 more source

Unified Stein‐Type Characterizations of Bivariate Count Distributions With Applications

Scandinavian Journal of Statistics, EarlyView.
ABSTRACT The derivation and application of Stein identities have received considerable research interest, especially for continuous distributions and univariate discrete distributions. In this article, we derive a unified Stein‐type characterization for three bivariate count models, namely the bivariate Poisson, type‐I bivariate binomial, and bivariate
Shaochen Wang, Christian H. Weiß
wiley   +1 more source

Carotid artery dissection linked to intermittent apnoeic swimming: A case–control study

Experimental Physiology, EarlyView.
Abstract Internal carotid artery (ICA) dissection is a rare and potentially devastating cause of cerebral ischaemia, initiated by an intimal tear or rupture of the vasa vasorum, that can lead to an intraluminal thrombus, vascular stenosis, occlusion, or dissecting aneurysm formation.
Damian M. Bailey, Richard G. Davies, Brenig L. Gwilym, Benjamin S. Stacey, Danny Walmsley, Michael H. Lewis, Josip Butkovic, Ivan Mumlek, Brad Perry, Zvonomir Vrselja, Shigehiko Ogoh, James A. Pawelczyk, Mohamad Bashir, Richard D. White, Ian M. Williams   +14 more
wiley   +1 more source

Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

IEEE Transactions on Knowledge and Data Engineering, 2019
Next Point-of-Interest (POI) recommendation is of great value for both location-based service providers and users. However, the state-of-the-art Recurrent Neural Networks (RNNs) rarely consider the spatio-temporal intervals between neighbor check-ins, which are essential for modeling user check-in behaviors in next POI recommendation.
Pengpeng Zhao 0001, Anjing Luo, Yanchi Liu, Jiajie Xu 0001, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou 0001   +7 more
openaire   +6 more sources

Towards a new toolbox of statistical primitives: Optimally estimating the mean of a distribution

AI Magazine, Volume 47, Issue 4, Winter 2026.
Abstract Mean estimation is perhaps the most fundamental building block of statistics, yet the tools we use are surprisingly brittle. For example, the conventional method of using the sample mean can be made arbitrarily bad with a single extreme data point.
Jasper C. H. Lee
wiley   +1 more source