1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ML2019
Modeling treatment events in disease progression
Guanyang Wang, Yumeng Zhang, Yong Deng +2
Ability to quantify and predict progression of a disease is fundamental for selecting an appropriate treatment. Many clinical metrics cannot be acquired frequently either because o…
cs.IR2017★ 1 cited
SweetRS: Dataset for a recommender systems of sweets
Łukasz Kidziński
Benchmarking recommender system and matrix completion algorithms could be greatly simplified if the entire matrix was known. We built a \url{sweetrs.org} platform with candies…
cs.HC2017
Learning styles: Literature versus machine learning
Farah Bouassida, Łukasz Kidziński, Pierre Dillenbourg
Every teacher understands that different students benefit from different activities. Recent advances in data processing allow us to detect and use behavioral variability for adapti…