research
∙
07/16/2023
SHAMSUL: Simultaneous Heatmap-Analysis to investigate Medical Significance Utilizing Local interpretability methods
The interpretability of deep neural networks has become a subject of gre...
share
research
∙
02/07/2023
A Bayesian Optimization approach for calibrating large-scale activity-based transport models
The use of Agent-Based and Activity-Based modeling in transportation is ...
research
∙
05/30/2022
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction
Although Machine Learning (ML) can be seen as a promising tool to improv...
research
∙
09/27/2016
Multi-label Methods for Prediction with Sequential Data
The number of methods available for classification of multi-label data h...
research
∙
03/31/2015
