14 citations · 20 across the 4 of their papers we have counts for
4 papers
Counterfactual Explanations for Support Vector Machine Models
Sebastian Salazar, Samuel Denton, Ansaf Salleb-Aouissi
We tackle the problem of computing counterfactual explanations -- minimal changes to the features that flip an undesirable model prediction. We propose a solution to this question…
A Weighted Solution to SVM Actionability and Interpretability
Samuel Marc Denton, Ansaf Salleb-Aouissi
Research in machine learning has successfully developed algorithms to build accurate classification models. However, in many real-world applications, such as healthcare, customer s…
Toward a Robust Crowd-labeling Framework using Expert Evaluation and Pairwise Comparison
Faiza Khan Khattak, Ansaf Salleb-Aouissi
Crowd-labeling emerged from the need to label large-scale and complex data, a tedious, expensive, and time-consuming task. One of the main challenges in the crowd-labeling task is…
Using Kernel Methods and Model Selection for Prediction of Preterm Birth
Ilia Vovsha, Ansaf Salleb-Aouissi, Anita Raja +8
We describe an application of machine learning to the problem of predicting preterm birth. We conduct a secondary analysis on a clinical trial dataset collected by the National In-…