Recommender Systems: Taxonomy, Applications and Current Research Trends
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.Integrating taxonomy, application developments, open‐source software, and publication trends, this paper identifies and outlines promising future directions for recommender systems research. ABSTRACT Recommender Systems play an essential role in assisting users to navigate the immense amount of information and services available online, aiding them in ...
Daniel Ranchal‐Parrado +2 more
wiley +1 more source
Application of explainable artificial intelligence integrating with electronic health record in oncology. [PDF]
Explor Target Antitumor TherYang Y, Liu X.
europepmc +1 more source
Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.Overview of key research challenges in forest disturbance monitoring, including the detection of disturbances of varying severity, the attribution of disturbance agents, and the development of models capable of generalizing across regions. ABSTRACT Climate change and land use pressures are intensifying forest disturbances in many world regions, as ...
Carolina Natel +3 more
wiley +1 more source
Transforming customer experience in social robotics through explainable and interpretable artificial intelligence over a decade. [PDF]
Front Robot AIArora AS, Arora A, McIntyre JR.
europepmc +1 more source
International Journal of Applied Ceramic Technology, Volume 23, Issue 3, June 2026.ABSTRACT Machine learning (ML) techniques are increasingly being applied to the development and processing of advanced ceramics, enabling predictive design, formulation optimization, and improved control of manufacturing workflows. This review presents an integrated and application‐oriented analysis of ML approaches in ceramic engineering, with ...
Sioney Teixeira Monteiro +3 more
wiley +1 more source
An explainable multi-head attention network for healthcare IoT threat detection based on the MedDefender-MHAN framework. [PDF]
PLoS OneAlqazzaz A.
europepmc +1 more source
Annals of Gastroenterological Surgery, Volume 10, Issue 3, Page 653-662, May 2026.Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo +4 more
wiley +1 more source
TrustNet: a lightweight network with integrated uncertainty quantification and quantitative explainable AI for ischemic stroke detection in CT images. [PDF]
Sci RepInamdar MA +8 more
europepmc +1 more source
Approaching Principles of XAI: A SYSTEMATIZATION
IEEE Transactions on Artificial IntelligenceRaphael Ronge +2 more
openaire +1 more source
Driving the neural exposome: Latent mobility states from naturalistic GPS data in older adults
Alzheimer's &Dementia, Volume 22, Issue 5, May 2026.Abstract INTRODUCTION Naturalistic driving provides real‐world behavioral indicators of early cognitive and functional changes. This study integrated naturalistic driving GPS trajectories collected from in‐vehicle sensors with points of interest (POIs) to quantify daily environmental engagement among older adults who were cognitively normal at ...
Kenan Li +4 more
wiley +1 more source