Toward Automatic Group Membership Annotation for Group Fairness Evaluation [PDF]
NLDB2024With the increasing research attention on fairness in information retrieval systems, more and more fairness-aware algorithms have been proposed to ensure fairness for a sustainable and healthy retrieval ecosystem. However, as the most adopted measurement of fairness-aware algorithms, group fairness evaluation metrics, require group membership ...
arxiv
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation [PDF]
arXivHuman annotation is a time-consuming task that requires a significant amount of effort. To address this issue, interactive data annotation utilizes an annotation model to provide suggestions for humans to approve or correct. However, annotation models trained with limited labeled data are prone to generating incorrect suggestions, leading to extra ...
arxiv
Towards a semi-automatic functional annotation tool based on decision-tree techniques [PDF]
, 2008 Jérôme Azé +8 more
openalex +1 more source
Pseudo-reentry due to automatic annotation of dissociated activity unmasked by the new Lumipoint™ algorithm. [PDF]
Clin Case Rep, 2020 Solimene F +3 more
europepmc +1 more source
Progressive Myoclonus Epilepsy: Distinctive MRI Changes in Cerebellar and Motor Networks
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Progressive myoclonus epilepsy (PME) is a rare generalized epilepsy syndrome with a well‐characterized genetic basis. The brain networks that are affected to give rise to the distinctive symptoms of PME are less well understood. Methods Eleven individuals with PME with a confirmed genetic diagnosis and 22 controls were studied.
Jillian M. Cameron +3 more
wiley +1 more source
scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data. [PDF]
iScience, 2020 Shao X +5 more
europepmc +1 more source
Do automatic annotation techniques have any impact on supervised complex question answering? [PDF]
, 2009 Yllias Chali +2 more
openalex +1 more source
Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Postoperative delirium, a common neurocognitive complication after surgery and anesthesia, requires early detection for potential intervention. Herein, we constructed a multidimensional postoperative delirium risk‐prediction model incorporating multiple demographic parameters and blood biomarkers to enhance prediction accuracy ...
Hengjun Wan +7 more
wiley +1 more source
A KERNEL-BASED MULTI-FEATURE IMAGE REPRESENTATION FOR HISTOPATHOLOGY IMAGE CLASSIFICATION
Acta Biológica Colombiana, 2010 This paper presents a novel strategy for building a high-dimensional feature space to represent histopathology image contents. Histogram features, related to colors, textures and edges, are combined together in a unique image representation space using ...
J Carlos Moreno +2 more
doaj
Automatic adaptation of annotation standards: Chinese word segmentation and POS tagging [PDF]
, 2009 Wenbin Jiang, Liang Huang, Qun Liu
openalex +1 more source