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Jan 22, 2020
Computer Vision

Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negat…

Acquiring large-scale medical image data, necessary for training machine learning algorithms, is frequently intractable, due to prohibitive expert-dr…
Dec 19, 2019
Computation and Language

An End-to-End Dialogue State Tracking System with Machine Reading C…

This paper describes our approach in DSTC 8 Track 4: Schema-Guided Dialogue State Tracking. The goal of this task is to predict the intents and slots…
Jan 26, 2018
Computer Vision

Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Se…

Volumetric lesion segmentation via medical imaging is a powerful means to precisely assess multiple time-point lesion/tumor changes. Because manual 3…
Apr 19, 2019
Computer Vision

XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using C…

This paper proposes a novel framework for lung segmentation in chest X-rays. It consists of two key contributions, a criss-cross attention based segm…
Oct 28, 2019
Computation and Language

Multi-Module System for Open Domain Chinese Question Answering over …

For the task of open domain Knowledge Based Question Answering in CCKS2019, we propose a method combining information retrieval and semantic parsing.…
Dec 19, 2019
Computation and Language

An End-to-End Dialogue State Tracking System with Machine Reading C…

This paper describes our approach in DSTC 8 Track 4: Schema-Guided Dialogue State Tracking. The goal of this task is to predict the intents and slots…
Jul 25, 2019
Computer Vision

A Fine-Grained Facial Expression Database for End-to-End Multi-Pose …

The recent research of facial expression recognition has made a lot of progress due to the development of deep learning technologies, but some typica…
Apr 18, 2019
Machine Learning

Inpatient2Vec: Medical Representation Learning for Inpatients

Representation learning (RL) plays an important role in extracting proper representations from complex medical data for various analyzing tasks, such…
Sep 17, 2018
Computer Vision
Machine Learning

Revisit Multinomial Logistic Regression in Deep Learning: Data Depend…

We study in this paper how to initialize the parameters of multinomial logistic regression (a fully connected layer followed with softmax and cross e…
Apr 18, 2019
Machine Learning

Inpatient2Vec: Medical Representation Learning for Inpatients

Representation learning (RL) plays an important role in extracting proper representations from complex medical data for various analyzing tasks, such…
Nov 29, 2019
Computation and Language
Artificial Intelligence

An Iterative Polishing Framework based on Quality Aware Masked Langua…

Owing to its unique literal and aesthetical characteristics, automatic generation of Chinese poetry is still challenging in Artificial Intelligence, …
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