Results 141 to 150 of about 5,774 (216)
Penalized GANs with latent perturbation for robust shilling attack generation in recommender systems. [PDF]
Nawara D, Kashef R.
europepmc +1 more source
Fairness of recommender systems in the recruitment domain: an analysis from technical and legal perspectives. [PDF]
Kumar D +4 more
europepmc +1 more source
Using peripheral blood for determining B‐cell or T‐cell clonality is more reliable when we use cell‐free RNA (cfRNA) because cells release blood significantly more RNA than DNA. Next‐generation sequencing (NGS) of cfRNA allows us to evaluate fragment cfRNA and evaluate clonality reliably without the need for prior determination of the specific dominant
Adam Albitar +11 more
wiley +1 more source
We don't need more apps, we need connection: recommender systems as under-explored chance to promote students' mental health at universities. [PDF]
Apolinário-Hagen J +5 more
europepmc +1 more source
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
Active learning algorithm for alleviating the user cold start problem of recommender systems. [PDF]
De Pessemier T, Willems B, Martens L.
europepmc +1 more source
This prospective study demonstrates that laparoscopic sphincter‐preserving surgery is feasible for elderly patients. While overall survival reaches 70% at 5 years, advanced T‐stage and the omission of neoadjuvant therapy significantly drive recurrence, highlighting the need for personalized geriatric protocols despite logistical challenges.
Huu Duc Ho +4 more
wiley +1 more source
Development of an Evaluation Index System for Health Recommender Systems Based on the Health Technology Assessment Framework: Cross-Sectional Delphi Study. [PDF]
Sun Y, Hou S, Chen S, Leng M, Wang Z.
europepmc +1 more source
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley +1 more source
Aggregate based light incremental sharding for efficient embedding table management for recommender systems. [PDF]
Kong C, Chen J, Meng D, Zhu H, Zhang Y.
europepmc +1 more source

