research
∙
09/16/2022
FairGBM: Gradient Boosting with Fairness Constraints
Machine Learning (ML) algorithms based on gradient boosted decision tree...
share
research
∙
04/26/2021
Weakly Supervised Multi-task Learning for Concept-based Explainability
In ML-aided decision-making tasks, such as fraud detection or medical di...
research
∙
03/23/2021
Promoting Fairness through Hyperparameter Optimization
Considerable research effort has been guided towards algorithmic fairnes...
research
∙
01/21/2021
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations
There have been several research works proposing new Explainable AI (XAI...
research
∙
11/27/2020
Teaching the Machine to Explain Itself using Domain Knowledge
Machine Learning (ML) has been increasingly used to aid humans to make b...
research
∙
10/07/2020
