Výsledky vyhledávání

Continual Learning Long Short Term Memory

Autor: Qinghan Xue, Panos Lampropoulos, Kenneth E. Barner, Yu Tian, Xiaolong Wang, Steven Eliuk, Xin Guo

Publikováno v: EMNLP (Findings)

Catastrophic forgetting in neural networks indicates the performance decreasing of deep learning models on previous tasks while learning new tasks. To address this problem, we propose a novel Continual Learning Long Short Term Memory (CL-LSTM) cell i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9e576e48d3d54a436728b7ca8a4aa455
https://doi.org/10.18653/v1/2020.findings-emnlp.164

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New attacks on RNN based healthcare learning system and their detections

Autor: Qinghan Xue, Mooi Choo Chuah

Publikováno v: Smart Health. :144-157

Advances in machine learning (ML) in recent years have enabled a wide range of applications such as data analytics, autonomous systems, and security diagnostics. For example, recurrent neural networks (RNNs), such as long short-term memory networks (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::741910b8b261e5f7f09ef3fb03e6a90d
https://doi.org/10.1016/j.smhl.2018.07.015

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Incentive design for high quality disease prediction model using crowdsourced clinical data

Autor: Qinghan Xue, Mooi Choo Chuah

Publikováno v: Smart Health. :31-47

Clinical data mining has great potential for mining hidden patterns in the medical datasets, which can then be used to guide clinical decision making and personalized medicine. While several studies have merged medical data mining techniques with sta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::400b06c72f02c75d3265e4b9876246b7
https://doi.org/10.1016/j.smhl.2017.12.002

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AWDF: An Adaptive Weighted Deep Fusion Architecture for Multi-modality Learning

Autor: Xiaolong Wang, Qinghan Xue, Abhishek Kolagunda, Steven Eliuk

Publikováno v: IEEE BigData

Fusion has been widely used in machine learning community, especially for problems dealing with multiple input sources and classifiers. The general strategy for information fusion in deep neural network is to directly concatenate the embedding featur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d489c488fe7622dca53ad4c70a1b183a
https://doi.org/10.1109/bigdata47090.2019.9006395

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Recurrent Neural Networks based Obesity Status Prediction Using Activity Data

Autor: Xiaoran Wang, Jilong Kuang, Jun Alex Gao, Samuel Meehan, Qinghan Xue, Mooi Choo Chuah

Publikováno v: ICMLA

Obesity is a serious public health concern world-wide, which increases the risk of many diseases, including hypertension, stroke, and type 2 diabetes. To tackle this problem, researchers across the health ecosystem are collecting diverse types of dat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1364bb4aa5c8d985c0fca5cc7f0f224b
http://arxiv.org/abs/1809.07828

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Automatic Generation and Recommendation for API Mashups

Autor: Lei Liu, Mooi Choo Chuah, Qinghan Xue, Chen Wei-Peng

Publikováno v: ICMLA

Until today, finding the most suitable APIs to use in an application was burdensome, requiring manual and time-consuming searches across a diverse set of websites, in particular regarding how multiple APIs could be combined and worked together (i.e.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::97b0ecb660fd77bd010f8b9f4fcd67aa
https://doi.org/10.1109/icmla.2017.0-169

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Incentivising High Quality Crowdsourcing Clinical Data for Disease Prediction

Autor: Qinghan Xue, Mooi Choo Chuah

Publikováno v: 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a5bdbb1d35ba2d230b4e3eeeccacaa6c
https://doi.org/10.1109/chase.2017.77

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CASHEIRS: Cloud assisted scalable hierarchical encrypted based image retrieval system

Autor: Mooi Choo Chuah, Xin Li, Qinghan Xue

Publikováno v: INFOCOM

Image retrieval has become an important function in many emerging computer vision applications e.g. online shopping via images, medical health care systems. More and more images are being generated and stored in public clouds. However, recent photo l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cbb915f9b9cda0f841b1c8368fad82b6
https://doi.org/10.1109/infocom.2017.8056953

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Explainable deep learning based medical diagnostic system

Autor: Qinghan Xue, Mooi Choo Chuah

Publikováno v: Smart Health. 13:100068

Recently, many researchers have conducted data mining over medical data to uncover hidden patterns and use them to learn prediction models for clinical decision making and personalized medicine. While such healthcare learning models can achieve encou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::45c20aba9f029421b3f247779bdad23a
https://doi.org/10.1016/j.smhl.2019.03.002

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