Search Results for author: Tomi Poutanen

Found 2 papers, 2 papers with code

DuETT: Dual Event Time Transformer for Electronic Health Records

1 code implementation25 Apr 2023 Alex Labach, Aslesha Pokhrel, Xiao Shi Huang, Saba Zuberi, Seung Eun Yi, Maksims Volkovs, Tomi Poutanen, Rahul G. Krishnan

Electronic health records (EHRs) recorded in hospital settings typically contain a wide range of numeric time series data that is characterized by high sparsity and irregular observations.

Time Series

DropoutNet: Addressing Cold Start in Recommender Systems

2 code implementations NeurIPS 2017 Maksims Volkovs, Guangwei Yu, Tomi Poutanen

Latent models have become the default choice for recommender systems due to their performance and scalability.

Recommendation Systems

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