19 citations · 40 across the 21 of their papers we have counts for
3 papers · 1 filter
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges
Yash Raj Shrestha, Vaibhav Krishna, Georg von Krogh
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 organiz…
A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records
Leopold Franz, Yash Raj Shrestha, Bibek Paudel
Augmentation of disease diagnosis and decision-making in healthcare with machine learning algorithms is gaining much impetus in recent years. In particular, in the current epidemio…
Adversarial Learning for Debiasing Knowledge Graph Embeddings
Mario Arduini, Lorenzo Noci, Federico Pirovano +3
Knowledge Graphs (KG) are gaining increasing attention in both academia and industry. Despite their diverse benefits, recent research have identified social and cultural biases emb…