42 citations · 86 across the 9 of their papers we have counts for
3 papers · 1 filter
Investigation of chemical structure recognition by encoder-decoder models in learning progress
Shumpei Nemoto, Tadahaya Mizuno, Hiroyuki Kusuhara
Descriptor generation methods using latent representations of encoderdecoder (ED) models with SMILES as input are useful because of the continuity of descriptor and restorabilit…
NRBdMF: A recommendation algorithm for predicting drug effects considering directionality
Iori Azuma, Tadahaya Mizuno, Hiroyuki Kusuhara
Predicting the novel effects of drugs based on information about approved drugs can be regarded as a recommendation system. Matrix factorization is one of the most used recommendat…
Investigation of a Data Split Strategy Involving the Time Axis in Adverse Event Prediction Using Machine Learning
Katsuhisa Morita, Tadahaya Mizuno, Hiroyuki Kusuhara
Adverse events are a serious issue in drug development and many prediction methods using machine learning have been developed. The random split cross-validation is the de facto sta…