activity
20152023
most citedNeural Document Embeddings for Intensive Care Patient Mortality Prediction

49 citations · 120 across the 26 of their papers we have counts for

collaborators
Showing 2017Show all

2 papers · 1 filter

cs.AI2017★ 3 cited

Evaluating Music Recommender Systems for Groups

Zsolt Mezei, Carsten Eickhoff

Recommendation to groups of users is a challenging and currently only passingly studied task. Especially the evaluation aspect often appears ad-hoc and instead of truly evaluating…

cs.IR2017

Unsupervised Learning of Parsimonious General-Purpose Embeddings for User and Location Modelling

Jing Yang, Carsten Eickhoff

Many social network applications depend on robust representations of spatio-temporal data. In this work, we present an embedding model based on feed-forward neural networks which t…