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Music Recommendation System

Published:

Project paper creating a music recommendation system which takes a listeners mood into account.

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publications

Detecting Stationary Atmospheric Waves in Venus with a Self-Supervised Adversarial Model Using Anomaly Detection

Published in Korea Software Congress (KSC), 2023

Approaching the detection of atmospheric waves through an adversarially trained self-supervised anomaly detection models. Awarded Grand Prize for best student paper (최우수상)

Recommended citation: Jun Seong Kim, Husnu Baris Baydargil, Jose Eduardo Silva, Yeon-Joo Lee, Meeyoung Cha. (2023). " Detecting Stationary Atmospheric Waves in Venus with a Self-Supervised Adversarial Model Using Anomaly Detection." Korea Software Congress. 1(1). https://jeon0001.github.io/junseongkim.com/files/VenusPaper2.pdf

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