Statistically unbiased prediction enables accurate denoising of voltage imaging data

1 code implementation • bioRxiv 2022 • Minho Eom, Seungjae Han, Gyuri Kim, Eun-Seo Cho, Jueun Sim, Pojeong Park, Kang-Han Lee, Seonghoon Kim, Marton Rozsa, Karel Svoboda, Myunghwan Choi, Cheol-Hee Kim, Adam Cohen, Jae-Byum Chang, Young-Gyu Yoon

Here we report SUPPORT (Statistically Unbiased Prediction utilizing sPatiOtempoRal information in imaging daTa), a self-supervised learning method for removing Poisson-Gaussian noise in voltage imaging data.

Denoising Self-Supervised Learning

LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising

1 code implementation • 11 Aug 2021 • Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song

Among various such mobile billboards, taxicab rooftop devices are emerging in the market as a brand new media.