SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection

no code implementations • 12 Oct 2023 • Xiaoyang Song, Wenbo Sun, Maher Nouiehed, Raed Al Kontar, Judy Jin

Current techniques for Out-of-Distribution (OoD) detection predominantly rely on quantifying predictive uncertainty and incorporating model regularization during the training phase, using either real or synthetic OoD samples.

Data Augmentation Out-of-Distribution Detection +1

A Continual Learning Framework for Adaptive Defect Classification and Inspection

no code implementations • 16 Mar 2022 • Wenbo Sun, Raed Al Kontar, Judy Jin, Tzyy-Shuh Chang

Machine-vision-based defect classification techniques have been widely adopted for automatic quality inspection in manufacturing processes.

Classification Continual Learning +2

Precision Radiotherapy via Information Integration of Expert Human Knowledge and AI Recommendation to Optimize Clinical Decision Making

no code implementations • 9 Feb 2022 • Wenbo Sun, Dipesh Niraula, Issam El Naqa, Randall K Ten Haken, Ivo D Dinov, Kyle Cuneo, Judy Jin

The proposed method is demonstrated in a comprehensive dataset where patient-specific information and treatment outcomes are prospectively collected during radiotherapy of $67$ non-small cell lung cancer patients and retrospectively analyzed.

Decision Making

The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning

no code implementations • 9 Nov 2021 • Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Judy Jin, Wissam Kontar, Neda Masoud, Maher Noueihed, Chinedum E. Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhisheng Ye

The Internet of Things (IoT) is on the verge of a major paradigm shift.

Federated Learning Meta-Learning +1