Publications - Machine Learning SG

Building Extraction From PolSAR Image Based on Deep CNN with Polarimetric Features (2020)

Xiaofang Xu Yilong Lu Bin Zou

image processing convolutional neural network polarimetry pattern recognition computer science +5 more

2020 21st International Radar Symposium (IRS) Published 2020-10-05
Semi-supervised Classification of Diagnostic Radiographs with NoTeacher: A Teacher that is Not Mean. (2020)

Balagopal Unnikrishnan Cuong Manh Nguyen Shafa Balaram Shafa Balaram Chuan Sheng Foo Pavitra Krishnaswamy

contextual image classification deep learning graphical model probabilistic logic machine learning +6 more

International Conference on Medical Image Computing and Computer-Assisted Intervention Published 2020-10-04
Decoding Task States by Spotting Salient Patterns at Time Points and Brain Regions (2020)

Yi Hao Chan Sukrit Gupta L. L. Chamara Kasun Jagath C. Rajapakse

human connectome project functional magnetic resonance imaging recurrent neural network pattern recognition salient +6 more

Published 2020-10-04
AGAN: An Anatomy Corrector Conditional Generative Adversarial Network (2020)

Melih Engin Robin Lange Andras Nemes Sadaf Monajemi Milad Mohammadzadeh Chin Kong Goh Tian Ming Tu Benjamin Y. Q. Tan Prakash Paliwal Leonard L. L. Yeo Leonard L. L. Yeo Vijay K. Sharma Vijay K. Sharma

image segmentation segmentation deep learning convolutional neural network speckle pattern +6 more

International Conference on Medical Image Computing and Computer-Assisted Intervention 2 citations Published 2020-10-04
Adversarial Attack and Defense of Structured Prediction Models (2020)

Wenjuan Han Liwen Zhang Yong Jiang Kewei Tu

structured prediction boosting sentence dependency grammar reference model +5 more

arXiv: Computation and Language Published 2020-10-04
A Survey of Unsupervised Dependency Parsing (2020)

Wenjuan Han Yong Jiang Hwee Tou Ng Kewei Tu

parsing dependency grammar syntax natural language processing annotation +2 more

arXiv preprint arXiv:2010.01535 Published 2020-10-04
Group task allocation approach for heterogeneous software crowdsourcing tasks (2020)

Xiaojing Yin Jiwei Huang Wei He Wei Guo Han Yu Lizhen Cui

crowdsourcing software development software development agile software development software collaborative working environment +6 more

Peer-to-peer Networking and Applications Published 2020-10-03
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban. (2020)

Péter Karkus Mehdi Mirza Arthur Guez Andrew Jaegle Timothy P. Lillicrap Lars Buesing Nicolas Heess Theophane Weber

reinforcement learning modular design supervised learning robot tabula rasa +5 more

arXiv preprint arXiv:2010.01298 Published 2020-10-03
Deep4Air: A Novel Deep Learning Framework for Airport Airside Surveillance. (2020)

Phat Thai Sameer Alam Nimrod Lilith Phu N. Tran Binh Nguyen Thanh

runway air traffic control visibility analytics deep learning +6 more

arXiv preprint arXiv:2010.00806 Published 2020-10-02
Who Are the 'Silent Spreaders'?: Contact Tracing in Spatio-Temporal Memory Models. (2020)

Yue Hu Budhitama Subagdja Ah-Hwee Tan Quanjun Yin

tracing episodic memory adaptive resonance theory pooling artificial neural network +6 more

arXiv: Social and Information Networks Published 2020-10-01
Unsupervised Video Summarization With Cycle-Consistent Adversarial LSTM Networks (2020)

Li Yuan Francis Eng Hock Tay Ping Li Jiashi Feng

automatic summarization feature extraction mutual information machine learning benchmark +6 more

IEEE Transactions on Multimedia 2 citations Published 2020-10-01
Trajectory Forecasting With Neural Networks: An Empirical Evaluation and A New Hybrid Model (2020)

Yuan Wang Dongxiang Zhang Ying Liu Kian-Lee Tan

deep learning artificial neural network hidden markov model data modeling random forest +6 more

IEEE Transactions on Intelligent Transportation Systems Published 2020-10-01
Towards Semantically Scalable Image Coding using Semantic Map (2020)

Ning Yan Dong Liu Houqiang Li Feng Wu Zhiwei Xiong Zheng-Jun Zha

natural language processing scalability computer science artificial intelligence image coding +1 more

2020 IEEE International Symposium on Circuits and Systems (ISCAS) Published 2020-10-01
Towards Autonomous Intra-Cortical Brain Machine Interfaces: Applying Bandit Algorithms for Online Reinforcement Learning (2020)

Shoeb Shaikh Rosa So Tafadzwa Sibindi Camilo Libedinsky Arindam Basu

reinforcement learning artificial intelligence computer science

2020 IEEE International Symposium on Circuits and Systems (ISCAS) Published 2020-10-01
The Power Of Triply Complementary Priors For Image Compressive Sensing (2020)

Zhiyuan Zha Xin Yuan Joey Tianyi Zhou Jiantao Zhou Bihan Wen Ce Zhu

image restoration ringing artifacts compressed sensing inverse problem noise reduction +6 more

2020 IEEE International Conference on Image Processing (ICIP) 3 citations Published 2020-10-01
Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks (2020)

O-Yeon Kwon Min-Ho Lee Cuntai Guan Seong-Whan Lee

discriminative model convolutional neural network filter bank feature extraction brain computer interface +6 more

IEEE Transactions on Neural Networks 27 citations Published 2020-10-01
Single Image Super-Resolution Via A Progressive Mixture Model (2020)

Run Su Baojiang Zhong Jiahuan Ji Kai-Kuang Ma

image resolution iterative reconstruction mixture model pattern recognition computer science +4 more

2020 IEEE International Conference on Image Processing (ICIP) Published 2020-10-01
Semantically Scalable Image Coding With Compression of Feature Maps (2020)

Ning Yan Dong Liu Houqiang Li Feng Wu

computer vision scalability computer science compression artificial intelligence +1 more

2020 IEEE International Conference on Image Processing (ICIP) Published 2020-10-01
Quantifying operating uncertainties of a PEMFC – Monte Carlo-machine learning based approach (2020)

Vishvak Kannan Hansong Xue K. Ashoke Raman Jiasheng Chen Adrian Fisher Erik Birgersson

monte carlo method robust control regression analysis proton exchange membrane fuel cell ranking +6 more

Renewable Energy Published 2020-10-01
Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach. (2020)

Yu Zhang Cangzhi Jia Chee Keong Kwoh

in silico computational biology biomolecule rna deep learning +3 more

Briefings in Bioinformatics 1 citations Published 2020-10-01

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Building Extraction From PolSAR Image Based on Deep CNN with Polarimetric Features (2020)

Semi-supervised Classification of Diagnostic Radiographs with NoTeacher: A Teacher that is Not Mean. (2020)

Decoding Task States by Spotting Salient Patterns at Time Points and Brain Regions (2020)

AGAN: An Anatomy Corrector Conditional Generative Adversarial Network (2020)

Adversarial Attack and Defense of Structured Prediction Models (2020)

A Survey of Unsupervised Dependency Parsing (2020)

Group task allocation approach for heterogeneous software crowdsourcing tasks (2020)

Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban. (2020)

Deep4Air: A Novel Deep Learning Framework for Airport Airside Surveillance. (2020)

Who Are the 'Silent Spreaders'?: Contact Tracing in Spatio-Temporal Memory Models. (2020)

Unsupervised Video Summarization With Cycle-Consistent Adversarial LSTM Networks (2020)

Trajectory Forecasting With Neural Networks: An Empirical Evaluation and A New Hybrid Model (2020)

Towards Semantically Scalable Image Coding using Semantic Map (2020)

Towards Autonomous Intra-Cortical Brain Machine Interfaces: Applying Bandit Algorithms for Online Reinforcement Learning (2020)

The Power Of Triply Complementary Priors For Image Compressive Sensing (2020)

Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks (2020)

Single Image Super-Resolution Via A Progressive Mixture Model (2020)

Semantically Scalable Image Coding With Compression of Feature Maps (2020)

Quantifying operating uncertainties of a PEMFC – Monte Carlo-machine learning based approach (2020)

Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach. (2020)