49 citations · 120 across the 26 of their papers we have counts for
6 papers · 1 filter
Neural Document Embeddings for Intensive Care Patient Mortality Prediction
Paulina Grnarova, Florian Schmidt, Stephanie L. Hyland +1
We present an automatic mortality prediction scheme based on the unstructured textual content of clinical notes. Proposing a convolutional document embedding approach, our empirica…
A Cross-Platform Collection of Social Network Profiles
Maria Han Veiga, Carsten Eickhoff
The proliferation of Internet-enabled devices and services has led to a shifting balance between digital and analogue aspects of our everyday lives. In the face of this development…
Privacy Leakage through Innocent Content Sharing in Online Social Networks
Maria Han Veiga, Carsten Eickhoff
The increased popularity and ubiquitous availability of online social networks and globalised Internet access have affected the way in which people share content. The information t…
Efficient Parallel Learning of Word2Vec
Jeroen B. P. Vuurens, Carsten Eickhoff, Arjen P. de Vries
Since its introduction, Word2Vec and its variants are widely used to learn semantics-preserving representations of words or entities in an embedding space, which can be used to pro…
Computing Web-scale Topic Models using an Asynchronous Parameter Server
Rolf Jagerman, Carsten Eickhoff, Maarten de Rijke
Topic models such as Latent Dirichlet Allocation (LDA) have been widely used in information retrieval for tasks ranging from smoothing and feedback methods to tools for exploratory…
Semantic Place Descriptors for Classification and Map Discovery
Siddharth Sarda, Carsten Eickhoff, Thomas Hofmann
Urban environments develop complex, non-obvious structures that are often hard to represent in the form of maps or guides. Finding the right place to go often requires intimate fam…