2 citations · 2 across the 5 of their papers we have counts for
5 papers
Foundations for Unfairness in Anomaly Detection -- Case Studies in Facial Imaging Data
Michael Livanos, Ian Davidson
Deep anomaly detection (AD) is perhaps the most controversial of data analytic tasks as it identifies entities that are then specifically targeted for further investigation or excl…
Identification and Uses of Deep Learning Backbones via Pattern Mining
Michael Livanos, Ian Davidson
Deep learning is extensively used in many areas of data mining as a black-box method with impressive results. However, understanding the core mechanism of how deep learning makes p…
Cooperative Knowledge Distillation: A Learner Agnostic Approach
Michael Livanos, Ian Davidson, Stephen Wong
Knowledge distillation is a simple but powerful way to transfer knowledge between a teacher model to a student model. Existing work suffers from at least one of the following key l…
Explainable Clustering via Exemplars: Complexity and Efficient Approximation Algorithms
Ian Davidson, Michael Livanos, Antoine Gourru +3
Explainable AI (XAI) is an important developing area but remains relatively understudied for clustering. We propose an explainable-by-design clustering approach that not only finds…
Semantic Motion Correction Via Iterative Nonlinear Optimization and Animation
Sairamvinay Vijayaraghavan, Jinxiao Song, Wan-Jhen Lin +1
Here, we present an end-to-end method to create 2D animation for a goalkeeper attempting to block a penalty kick, and then correct that motion using an iterative nonlinear optimiza…