Frans Coenen

Experiments in non-personalized future blood glucose level prediction

2020

In this study we investigate the need for training future blood glucose level prediction models at the individual level (i.e. per patient). Specifically, we train various model classes: linear models, feed-forward neural networks, recurrent neural …

Combining Long Short Term Memory and Convolutional Neural Network for\n Cross-Sentence n-ary Relation Extraction

2018 · arXiv (Cornell University)

We propose in this paper a combined model of Long Short Term Memory and\nConvolutional Neural Networks (LSTM-CNN) that exploits word embeddings and\npositional embeddings for cross-sentence n-ary relation extraction. The\nproposed model brings together the properties of …