376 citations · 1.2k across the 40 of their papers we have counts for
6 papers · 1 filter
Self-explaining deep models with logic rule reasoning
Seungeon Lee, Xiting Wang, Sungwon Han +3
We present SELOR, a framework for integrating self-explaining capabilities into a given deep model to achieve both high prediction performance and human precision. By "human precis…
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
Sungwon Han, Sungwon Park, Fangzhao Wu +4
This paper presents FedX, an unsupervised federated learning framework. Our model learns unbiased representation from decentralized and heterogeneous local data. It employs a two-s…
Prediction of Football Player Value using Bayesian Ensemble Approach
Hansoo Lee, Bayu Adhi Tama, Meeyoung Cha
The transfer fees of sports players have become astronomical. This is because bringing players of great future value to the club is essential for their survival. We present a case…
The Conflict Between Explainable and Accountable Decision-Making Algorithms
Gabriel Lima, Nina Grgić-Hlača, Jin Keun Jeong +1
Decision-making algorithms are being used in important decisions, such as who should be enrolled in health care programs and be hired. Even though these systems are currently deplo…
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information
Sungwon Park, Sungwon Han, Donghyun Ahn +8
High-resolution daytime satellite imagery has become a promising source to study economic activities. These images display detailed terrain over large areas and allow zooming into…
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
Sungwon Park, Sundong Kim, Meeyoung Cha
Knowledge of the changing traffic is critical in risk management. Customs offices worldwide have traditionally relied on local resources to accumulate knowledge and detect tax frau…