68 citations · 83 across the 2 of their papers we have counts for
3 papers · 1 filter
On the Trustworthiness of Tree Ensemble Explainability Methods
Angeline Yasodhara, Azin Asgarian, Diego Huang +1
The recent increase in the deployment of machine learning models in critical domains such as healthcare, criminal justice, and finance has highlighted the need for trustworthy meth…
Boosting Model Performance through Differentially Private Model Aggregation
Sophia Collet, Robert Dadashi, Zahi N. Karam +4
A key factor in developing high performing machine learning models is the availability of sufficiently large datasets. This work is motivated by applications arising in Software as…
A Hybrid Instance-based Transfer Learning Method
Azin Asgarian, Parinaz Sobhani, Ji Chao Zhang +4
In recent years, supervised machine learning models have demonstrated tremendous success in a variety of application domains. Despite the promising results, these successful models…