Publications - Machine Learning SG

Bandit Learning for Diversified Interactive Recommendation (2019)

Yong Liu Yingtai Xiao Qiong Wu Chunyan Miao Juyong Zhang

recommender system bayesian inference regret machine learning determinantal point process +4 more

arXiv preprint arXiv:1907.01647 1 citations Published 2019-07-01
Application of Signed Distance Function Neural Network in Real-Time Feet Tracking (2019)

Ming Jeat Foo Carlo Tiseo Wei Tech Ang

motion capture signed distance function image segmentation artificial neural network viewing angle +6 more

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Published 2019-07-01
An Improved Quantile Regression Neural Network for Probabilistic Load Forecasting (2019)

Wenjie Zhang Hao Quan Dipti Srinivasan

probabilistic forecasting quantile quantile regression probabilistic logic prediction interval +6 more

IEEE Transactions on Smart Grid 34 citations Published 2019-07-01
An approach for augmented learning of finite element analysis (2019)

Jiming Huang Soh Khim Ong Andrew Yeh‐Ching Nee

augmented learning augmented reality finite element method artificial intelligence computer science

Computer Applications in Engineering Education 3 citations Published 2019-07-01
A Systematic Approach to Synthesize Underwater Images Benchmark Dataset and Beyond (2019)

Xiaodong Liu Ben M. Chen

underwater vision underwater visibility rgb color model computer vision +6 more

2019 IEEE 15th International Conference on Control and Automation (ICCA) Published 2019-07-01
A Novel Semisupervised Deep Learning Method for Human Activity Recognition (2019)

Qingchang Zhu Zhenghua Chen Yeng Chai Soh

supervised learning deep learning artificial neural network activity recognition feature extraction +6 more

IEEE Transactions on Industrial Informatics 14 citations Published 2019-07-01
A new method to identify coronary artery disease with ECG signals and time-Frequency concentrated antisymmetric biorthogonal wavelet filter bank (2019)

Manish Sharma U. Rajendra Acharya U. Rajendra Acharya U. Rajendra Acharya

biorthogonal wavelet filter bank cad support vector machine matthews correlation coefficient +6 more

Pattern Recognition Letters 23 citations Published 2019-07-01
A new approach for arrhythmia classification using deep coded features and LSTM networks. (2019)

Özal Yildirim Ulas Baran Baloglu Ru San Tan Edward J. Ciaccio U. Rajendra Acharya U. Rajendra Acharya

holter monitor deep learning pattern recognition computer science arrhythmia detection +6 more

Computer Methods and Programs in Biomedicine 66 citations Published 2019-07-01
A Neural Multi-digraph Model for Chinese NER with Gazetteers (2019)

Ruixue Ding Pengjun Xie Xiaoyan Zhang Wei Lu Linlin Li Luo Si

named entity recognition natural language processing digraph computer science artificial intelligence +1 more

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics 14 citations Published 2019-07-01
A Highly Efficient Blind Image Quality Assessment Metric of 3-D Synthesized Images Using Outlier Detection (2019)

Vinit Jakhetiya Ke Gu Trisha Singhal Sharath Chandra Guntuku Zhifang Xia Weisi Lin

image processing median filter image quality rendering pixel +6 more

IEEE Transactions on Industrial Informatics 10 citations Published 2019-07-01
A hidden semi-Markov model for estimating burst suppression EEG (2019)

Sourish Chakravarty Taylor E. Baum Jingzhi An Pegah Kahali Emery N. Brown

burst suppression hidden semi markov model electroencephalography hidden markov model neurophysiology +6 more

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 1 citations Published 2019-07-01
A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images (2019)

Huazhu Fu Huazhu Fu Mani Baskaran Mani Baskaran Yanwu Xu Yanwu Xu Stephen Lin Damon Wing Kee Wong Damon Wing Kee Wong Jiang Liu Jiang Liu Tin A. Tun Meenakshi Mahesh Shamira A. Perera Shamira A. Perera Tin Aung Tin Aung

receiver operating characteristic optical coherence tomography deep learning computer vision confidence interval +4 more

American Journal of Ophthalmology 27 citations Published 2019-07-01
Random Vector Functional Link Neural Network based Ensemble Deep Learning (2019)

Rakesh Katuwal Ponnuthurai N. Suganthan Muhammad Tanveer

ensemble learning deep learning artificial neural network multivariate random variable artificial intelligence +2 more

arXiv preprint arXiv:1907.00350 8 citations Published 2019-06-30
Mechanisms of Artistic Creativity in Deep Learning Neural Networks. (2019)

Lonce Wyse

deep learning creativity generative grammar cognitive science artificial neural network +6 more

arXiv preprint arXiv:1907.00321 2 citations Published 2019-06-30
Latent Variable Sentiment Grammar (2019)

Liwen Zhang Kewei Tu Yue Zhang

treebank latent variable phrase expression tree structure +6 more

arXiv preprint arXiv:1907.00218 Published 2019-06-29
BTEL: A Binary Tree Encoding Approach for Visual Localization (2019)

Huu Le Tuan Hoang Michael Milford

binary tree tree structure encoding image retrieval search engine indexing +6 more

arXiv preprint arXiv:1906.11992 Published 2019-06-27
A two-stage method for automated detection of ring-like endosomes in fluorescent microscopy images. (2019)

Dongyun Lin Zhiping Lin Jiuwen Cao Ramraj Velmurugan E. Sally Ward Raimund J. Ober

endosome microscopy fluorescence microscope standard test image organelle +4 more

PLOS ONE 2 citations Published 2019-06-27
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering (2019)

Xiaoyu Du Xiangnan He Fajie Yuan Jinhui Tang Zhiguang Qin Tat-Seng Chua

recommender system collaborative filtering convolutional neural network embedding artificial neural network +6 more

arXiv preprint arXiv:1906.11171 Published 2019-06-26
EDIMA: Early Detection of IoT Malware Network Activity Using Machine Learning Techniques. (2019)

Ayush Kumar Teng Joon Lim

malware telnet edge device denial of service attack traffic classification +6 more

arXiv preprint arXiv:1906.09715 1 citations Published 2019-06-24
Differentiable Algorithm Networks for Composable Robot Learning (2019)

Péter Karkus Xiao Ma David Hsu Leslie Pack Kaelbling Wee Sun Lee Tomás Lozano-Pérez

robot learning differentiable function artificial intelligence computer science

Robotics: Science and Systems XV 14 citations Published 2019-06-22

Previous Next

Bandit Learning for Diversified Interactive Recommendation (2019)

Application of Signed Distance Function Neural Network in Real-Time Feet Tracking (2019)

An Improved Quantile Regression Neural Network for Probabilistic Load Forecasting (2019)

An approach for augmented learning of finite element analysis (2019)

A Systematic Approach to Synthesize Underwater Images Benchmark Dataset and Beyond (2019)

A Novel Semisupervised Deep Learning Method for Human Activity Recognition (2019)

A new method to identify coronary artery disease with ECG signals and time-Frequency concentrated antisymmetric biorthogonal wavelet filter bank (2019)

A new approach for arrhythmia classification using deep coded features and LSTM networks. (2019)

A Neural Multi-digraph Model for Chinese NER with Gazetteers (2019)

A Highly Efficient Blind Image Quality Assessment Metric of 3-D Synthesized Images Using Outlier Detection (2019)

A hidden semi-Markov model for estimating burst suppression EEG (2019)

A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images (2019)

Random Vector Functional Link Neural Network based Ensemble Deep Learning (2019)

Mechanisms of Artistic Creativity in Deep Learning Neural Networks. (2019)

Latent Variable Sentiment Grammar (2019)

BTEL: A Binary Tree Encoding Approach for Visual Localization (2019)

A two-stage method for automated detection of ring-like endosomes in fluorescent microscopy images. (2019)

Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering (2019)

EDIMA: Early Detection of IoT Malware Network Activity Using Machine Learning Techniques. (2019)

Differentiable Algorithm Networks for Composable Robot Learning (2019)