Search Results for author:
Found 3 papers, 1 papers with code
Influencer Detection with Dynamic Graph Neural Networks
Leveraging network information for prediction tasks has become a common practice in many domains.
Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings
Privacy-preserving machine learning in data-sharing processes is an ever-critical task that enables collaborative training of Machine Learning (ML) models without the need to share the original data sources.
Ensemble of Example-Dependent Cost-Sensitive Decision Trees
Moreover, we propose two new cost-sensitive combination approaches; cost-sensitive weighted voting and cost-sensitive stacking, the latter being based on the cost-sensitive logistic regression method.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
