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Found 7 papers, 1 papers with code
Data Augmentation through Pseudolabels in Automatic Region Based Coronary Artery Segmentation for Disease Diagnosis
Coronary Artery Diseases(CADs) though preventable are one of the leading causes of death and disability.
ConvNeXtv2 Fusion with Mask R-CNN for Automatic Region Based Coronary Artery Stenosis Detection for Disease Diagnosis
Coronary Artery Diseases although preventable are one of the leading cause of mortality worldwide.
Large Language Models for Difficulty Estimation of Foreign Language Content with Application to Language Learning
This is accomplished by identifying content on topics that the user is interested in, and that closely align with the learner's proficiency level in that foreign language.
Towards Automatic Bias Detection in Knowledge Graphs
With the recent surge in social applications relying on knowledge graphs, the need for techniques to ensure fairness in KG based methods is becoming increasingly evident.
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges
The current expansion of theory and research on artificial intelligence in management and organization studies has revitalized the theory and research on decision-making in organizations.
Adversarial Learning for Debiasing Knowledge Graph Embeddings
As a second step, we explore gender bias in KGE, and a careful examination of popular KGE algorithms suggest that sensitive attribute like the gender of a person can be predicted from the embedding.
A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records
Second, machine learning algorithms that predict multiple disease diagnosis categories simultaneously remain underdeveloped.
