3 papers
cs.LG2025
Towards Personalized Treatment Plan: Geometrical Model-Agnostic Approach to Counterfactual Explanations
Daniel Sin, Milad Toutounchian
In our article, we describe a method for generating counterfactual explanations in high-dimensional spaces using four steps that involve fitting our dataset to a model, finding the…
eess.IV2025
Integrating AI for Human-Centric Breast Cancer Diagnostics: A Multi-Scale and Multi-View Swin Transformer Framework
Farnoush Bayatmakou, Reza Taleei, Milad Amir Toutounchian +1
Despite advancements in Computer-Aided Diagnosis (CAD) systems, breast cancer remains one of the leading causes of cancer-related deaths among women worldwide. Recent breakthroughs…
stat.ML2023
Probabilistic Classification by Density Estimation Using Gaussian Mixture Model and Masked Autoregressive Flow
Benyamin Ghojogh, Milad Amir Toutounchian
Density estimation, which estimates the distribution of data, is an important category of probabilistic machine learning. A family of density estimators is mixture models, such as…