30 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Emory UniversityUS9 papers
- Georgia Institute of TechnologyUS8 papers
- University of Wisconsin–MadisonUS3 papers
- Aflac (United States)US2 papers
- Jacobs (United States)US2 papers
- Roswell Park Comprehensive Cancer CenterUS2 papers
- The Wallace H. Coulter Department of Biomedical EngineeringUS2 papers
- University of California, RiversideUS2 papers
- University of Wisconsin Carbone Cancer CenterUS2 papers
- Association for Computing MachineryUS1 paper
- Chemnitz University of TechnologyDE1 paper
- ETH ZurichCH1 paper
5 papers · 1 filter
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units
Shenda Hong, Yanbo Xu, Alind Khare +5
Deep learning models have achieved expert-level performance in healthcare with an exclusive focus on training accurate models. However, in many clinical environments such as intens…
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data
Yanbo Xu, Siddharth Biswal, Shriprasad R Deshpande +2
With the improvement of medical data capturing, vast amount of continuous patient monitoring data, e.g., electrocardiogram (ECG), real-time vital signs and medications, become avai…
COPA: Constrained PARAFAC2 for Sparse & Large Datasets
Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis +3
PARAFAC2 has demonstrated success in modeling irregular tensors, where the tensor dimensions vary across one of the modes. An example scenario is modeling treatments across a set o…
SPARTan: Scalable PARAFAC2 for Large & Sparse Data
Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang +4
In exploratory tensor mining, a common problem is how to analyze a set of variables across a set of subjects whose observations do not align naturally. For example, when modeling m…
Multi-layer Representation Learning for Medical Concepts
Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles +2
Learning efficient representations for concepts has been proven to be an important basis for many applications such as machine translation or document classification. Proper repres…