Results 121 to 130 of about 372,511 (339)
Efficient AUC Optimization for Information Ranking Applications
Adequate evaluation of an information retrieval system to estimate future performance is a crucial task. Area under the ROC curve (AUC) is widely used to evaluate the generalization of a retrieval system. However, the objective function optimized in many
C Cortes +6 more
core +1 more source
NR4A1 Exerts Pro‐Tumor Role in Glioblastoma via Inducing xCT/GPX4‐Regulated Ferroptosis
ABSTRACT Purpose This study investigates NR4A1's paradoxical roles in glioblastoma (GBM) progression, focusing on its mechanistic link to ferroptosis regulation. We aimed to resolve conflicting reports of NR4A1 as both an oncogene and a tumor suppressor by defining its transcriptional control over xCT/GPX4‐mediated iron homeostasis and its clinical ...
Peng Tao +10 more
wiley +1 more source
ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini +7 more
wiley +1 more source
Evaluation Criteria of Information Retrieval Systems: What We Know and What We Do Not Know
Evaluation of information retrieval systems is one of the greatest challenges for information science specialists, because determining the performance of a system depends on judgment of the relevance of documents provided by the system to the user's ...
Nadjla Hariri +3 more
doaj
IDENTIFYING DOCUMENT-LEVEL TEXT PLAGIARISM: A TWO-PHASE APPROACH [PDF]
The rapid evolution of information content and its ease of access have made the field of research and academia so vulnerable to plagiarism. Plagiarism is an act of intellectual theft and information breach which must be restricted to ensure educational ...
VANI K., DEEPA GUPTA
doaj
Learning a Deep Listwise Context Model for Ranking Refinement
Learning to rank has been intensively studied and widely applied in information retrieval. Typically, a global ranking function is learned from a set of labeled data, which can achieve good performance on average but may be suboptimal for individual ...
Ai, Qingyao +3 more
core +1 more source
Objective Cognitive impairment (CI) is common in patients with systemic lupus erythematosus (SLE). Despite its prevalence, the immune mechanisms are not well understood. We previously reported elevated serum levels of S100A8/A9 and matrix metalloproteinase 9 (MMP‐9) in patients with SLE and CI.
Carolina Muñoz‐Grajales +18 more
wiley +1 more source
The study reveals that RRP9 is abnormally highly expressed in ESCC tissues and is closely associated with poor prognosis in patients. Furthermore, it is found that RRP9 promotes ESCC progression through enhancing the E2F1‐mediated transcriptional regulation of CDK1.
Gang He +14 more
wiley +1 more source
Improving Image Search through MKFCM Clustering Strategy-Based Re-ranking Measure
The main intention of this research is to develop a novel ranking measure for content-based image retrieval system. Owing to the achievement of data retrieval, most commercial search engines still utilize a text-based search approach for image search by ...
Naveena A.K., Narayanan N.K.
doaj +1 more source
Extracting Emotion Causes Using Learning to Rank Methods From an Information Retrieval Perspective
Emotion cause extraction is a challenging task for the fine-grained emotion analysis. Even though a few studies have addressed the task using clause-level classification methods, most of them have partly ignored emotion-level context information.
Bo Xu +5 more
doaj +1 more source

