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Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records
KejingYin, WilliamK.Cheung, BenjaminC.M.Fung....
Published date-11/12/2020
ComputationalPhenotyping
Non-negative tensor factorization has been shown a practical solution to automatically discover phenotypes from the electronic health records (EHR) with minimal human supervision. Such methods generally require an input tensor …
SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots
MdJahidulIslam, RuobingWang, KarindeLangis....
Published date-11/12/2020
ObjectDetection, SaliencyPrediction, SalientObjectDetection
This paper presents a holistic approach to saliency-guided visual attention modeling (SVAM) for use by autonomous underwater robots. Our proposed model, named SVAM-Net, integrates deep visual features at various scales …
Biomedical Named Entity Recognition at Scale
VeyselKocaman, DavidTalby....
Published date-11/12/2020
EntityResolution, InformationRetrieval, MedicalNamedEntityRecognition, NamedEntityRecognition, QuestionAnswering, RelationExtraction
Named entity recognition (NER) is a widely applicable natural language processing task and building block of question answering, topic modeling, information retrieval, etc. In the medical domain, NER plays a …
Neural network for estimation of optical characteristics of optically active and turbid scattering media
AliAlavi....
Published date-11/12/2020
One native source of quality deterioration in medical imaging, and especially in our case optical coherence tomography (OCT), is the turbid biological media in which photon does not take a …
Fit2Form: 3D Generative Model for Robot Gripper Form Design
HuyHa, ShubhamAgrawal, ShuranSong....
Published date-11/12/2020
The 3D shape of a robot's end-effector plays a critical role in determining it's functionality and overall performance. Many industrial applications rely on task-specific gripper designs to ensure the system's …
tvopt: A Python Framework for Time-Varying Optimization
NicolaBastianello....
Published date-11/12/2020
This paper introduces tvopt, a Python framework for prototyping and benchmarking time-varying (or online) optimization algorithms. The paper first describes the theoretical approach that informed the development of tvopt. Then …