no code implementations • 30 Apr 2024 • Adam Catto, Nan Jia, Ansaf Salleb-Aouissi, Anita Raja
Missing value imputation is a crucial preprocessing step for many machine learning problems.
no code implementations • 5 Dec 2023 • Uzay Macar, Blake Castleman, Noah Mauchly, Michael Jiang, Asma Aouissi, Salma Aouissi, Xena Maayah, Kaan Erdem, Rohith Ravindranath, Andrea Clark-Sevilla, Ansaf Salleb-Aouissi
Artificial intelligence (AI) stands out as a game-changer in today's technology landscape.
no code implementations • 14 Dec 2022 • 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.
no code implementations • AAAI 2021 • Hengrui Xing, Ansaf Salleb-Aouissi, Nakul Verma
This is not a trivial problem as it involves searching for a complex mathematical relationship over a large set of explanatory variables and operators that can be combined in an infinite number of ways.
no code implementations • 6 Dec 2020 • Samuel Marc Denton, Ansaf Salleb-Aouissi
Actionability is as important as interpretability or explainability of machine learning models, an ongoing and important research topic.
no code implementations • 27 Jul 2016 • Ilia Vovsha, Ansaf Salleb-Aouissi, Anita Raja, Thomas Koch, Alex Rybchuk, Axinia Radeva, Ashwath Rajan, Yiwen Huang, Hatim Diab, Ashish Tomar, Ronald Wapner
We describe an application of machine learning to the problem of predicting preterm birth.