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Found 7 papers, 3 papers with code
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading
Diabetic Retinopathy (DR) is a leading cause of vision loss in the world, and early DR detection is necessary to prevent vision loss and support an appropriate treatment.
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning
Our contributions are: (1) we generate a QA training corpus starting from 877 answers from the customer care domain of T-Mobile Austria, (2) we implement a state-of-the-art QA pipeline using neural sentence embeddings that encode queries in the same space than the answer index, and (3) we evaluate the QA pipeline and our re-ranking approach using a separately provided test set.
Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings
We accelerate the fine-tuning process of the generic model to the target domain.
A categorisation and implementation of digital pen features for behaviour characterisation
In this paper we provide a categorisation and implementation of digital ink features for behaviour characterisation.
A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces
This paper provides an overview of prominent deep learning toolkits and, in particular, reports on recent publications that contributed open source software for implementing tasks that are common in intelligent user interfaces (IUI).
Fine-tuning deep CNN models on specific MS COCO categories
Fine-tuning of a deep convolutional neural network (CNN) is often desired.
A Multimodal Dialogue System for Medical Decision Support inside Virtual Reality
We present a multimodal dialogue system that allows doctors to interact with a medical decision support system in virtual reality (VR).
