KDD 2019

We presented following two researches at KDD 2019

Applied Data Science Track Paper (Oral)
Real-time On-Device Troubleshooting Recommendation for Smartphones,
Authors: Keiichi Ochiai, Kohei Senkawa, Naoki Yamamoto, Yuya Tanaka and Yusuke Fukazawa

KDD Cup Regular Machine Learning Competition Track Task 2, 1st Prize
Proposal Title: Simulating the Effects of Eco-Friendly Transportation Selections for Air Pollution Reduction
Authors: Keiichi Ochiai, Tsukasa Demizu, Shin Ishiguro, Shohei Maruyama, Akihiro Kawana