Publications - Machine Learning SG

Online Trajectory Correction and Tracking for Facade Inspection Using Autonomous UAV (2020)

Muqing Cao Yang Lyu Shenghai Yuan Lihua Xie

trajectory model predictive control extended kalman filter solid modeling estimator +6 more

2020 IEEE 16th International Conference on Control & Automation (ICCA) Published 2020-10-09
Motion Context Network for Weakly Supervised Object Detection in Videos (2020)

Ruibing Jin Guosheng Lin Changyun Wen Jianliang Wang

object detection feature extraction computer vision computer science correlation +5 more

IEEE Signal Processing Letters Published 2020-10-09
Learning-based Low Light Image Enhancement for Visual Odometry (2020)

Xiadong Liu Zhi Gao Huimin Cheng Pengfei Wang Ben M. Chen

visual odometry deep learning artificial neural network grayscale color constancy +6 more

2020 IEEE 16th International Conference on Control & Automation (ICCA) Published 2020-10-09
Connection Pruning for Deep Spiking Neural Networks with On-Chip Learning. (2020)

Thao N. N. Nguyen Bharadwaj Veeravalli Xuanyao Fong

spiking neural network hardware architecture caltech 101 spike timing dependent plasticity field programmable gate array +5 more

arXiv preprint arXiv:2010.04351 Published 2020-10-09
An Obstacle Detection Method for USV by Fusing of Radar and Motion Stereo (2020)

Jiaying Chen Han Wang

radar imaging radar compass stereopsis assisted gps +6 more

2020 IEEE 16th International Conference on Control & Automation (ICCA) Published 2020-10-09
Single-Image Camera Response Function Using Prediction Consistency and Gradual Refinement. (2020)

Aashish Sharma Robby T. Tan Loong-Fah Cheong

real image crfs deep learning pattern recognition computer science +4 more

arXiv preprint arXiv:2010.04009 Published 2020-10-08
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention (2020)

Yang Li Tao Shen Guodong Long Jing Jiang Tianyi Zhou Chengqi Zhang

relationship extraction sentence artificial neural network machine learning computer science +6 more

arXiv preprint arXiv:2010.03773 Published 2020-10-08
Supervised Learning in Spiking Neural Networks with Synaptic Delay-Weight Plasticity (2020)

Malu Zhang Malu Zhang Jibin Wu Ammar Belatreche Zihan Pan Xiurui Xie Yansong Chua Guoqi Li Hong Qu Haizhou Li Haizhou Li

synaptic weight spiking neural network learning rule supervised learning perceptron +5 more

Neurocomputing Published 2020-10-07
STBNN: Hardware-friendly spatio-temporal binary neural network with high pattern recognition accuracy (2020)

G.C. Qiao S.G. Hu T.P. Chen L.M. Rong N. Ning Q. Yu Y. Liu

perceptron artificial neural network mnist database test set binary number +7 more

Neurocomputing Published 2020-10-07
Modeling Human Driving Behavior in Highway Scenario using Inverse Reinforcement Learning. (2020)

Zhiyu Huang Chen Lv Jingda Wu

principle of maximum entropy trajectory polynomial machine learning sampling +6 more

arXiv preprint arXiv:2010.03118 Published 2020-10-07
Machine learning to predict mesenchymal stem cell efficacy for cartilage repair (2020)

Yu Yang Fredrik Liu Yin Lu Steve Oh Gareth J. Conduit

cartilage stem cell therapy regenerative medicine mesenchymal stem cell clinical trial +6 more

PLOS Computational Biology Published 2020-10-07
Learning local discriminative representations via extreme learning machine for machine fault diagnosis (2020)

Yue Li Yijie Zeng Yuanyuan Qing Guang-Bin Huang

feature learning extreme learning machine autoencoder cluster analysis discriminative model +6 more

Neurocomputing Published 2020-10-07
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (2020)

Alvin Chan Yi Tay Yew-Soon Ong Aston Zhang

autoencoder backdoor classifier machine learning input hypothesis +3 more

arXiv preprint arXiv:2010.02684 Published 2020-10-06
Machine Learning Approaches Revealed Metabolic Signatures of Incident Chronic Kidney Disease in Persons With Pre-and Type 2 Diabetes. (2020)

Jialing Huang Cornelia Huth Marcela Covic Martina Troll Jonathan Adam Sven Zukunft Cornelia Prehn Li Wang Jana Nano Markus F. Scheerer Susanne Neschen Gabi Kastenmüller Karsten Suhre Michael Laxy Freimut Schliess Christian Gieger Jerzy Adamski Jerzy Adamski Martin Hrabe de Angelis Annette Peters Rui Wang-Sattler

kidney disease population type 2 diabetes diabetes mellitus biomarker +6 more

Diabetes Published 2020-10-06
Machine Learning Approaches Reveal Metabolic Signatures of Incident Chronic Kidney Disease in Individuals With Prediabetes and Type 2 Diabetes. (2020)

Jialing Huang Cornelia Huth Marcela Covic Martina Troll Jonathan Adam Sven Zukunft Cornelia Prehn Li Wang Jana Nano Markus F Scheerer Susanne Neschen Gabi Kastenmüller Karsten Suhre Michael Laxy Freimut Schliess Christian Gieger Jerzy Adamski Jerzy Adamski Martin Hrabe de Angelis Annette Peters Rui Wang-Sattler

kidney disease prediabetes population type 2 diabetes diabetes mellitus +6 more

Diabetes Published 2020-10-06
Machine learning and knowledge graph based design rule construction for additive manufacturing (2020)

Hyunwoong Ko Hyunwoong Ko Paul Witherell Yan Lu Samyeon Kim Samyeon Kim David W. Rosen David W. Rosen

knowledge base design for manufacturability decision tree ontology machine learning +5 more

Additive manufacturing 1 citations Published 2020-10-06
Cryptoanalysis of the modified diffractive-imaging-based image encryption by deep learning attack (2020)

Chuhan Wu Chuhan Wu Jun Chang Xiangxin Xu Chenggen Quan Xiaofang Zhang Yongjian Zhang

encryption deep learning computer vision computer science artificial intelligence

Journal of Modern Optics Published 2020-10-06
Aspect Sentiment Classification with Aspect-Specific Opinion Spans (2020)

Lu Xu Lidong Bing Wei Lu Fei Huang

sentiment analysis crfs semantics natural language processing computer science +2 more

arXiv: Computation and Language Published 2020-10-06
An Empirical Study on Unsupervised Network Anomaly Detection using Generative Adversarial Networks (2020)

Tram Truong-Huu Nidhya Dheenadhayalan Partha Pratim Kundu Vasudha Ramnath Jingyi Liao Sin G. Teo Sai Praveen Kadiyala

anomaly detection empirical research generative grammar adversarial system computer science +2 more

Proceedings of the 1st ACM Workshop on Security and Privacy on Artificial Intelligence Published 2020-10-06
Geometry-aware Instance-reweighted Adversarial Training (2020)

Jingfeng Zhang Jianing Zhu Gang Niu Bo Han Masashi Sugiyama Mohan Kankanhalli

adversarial machine learning robustness adversarial system smoothing machine learning +2 more

arXiv preprint arXiv:2010.01736 Published 2020-10-05

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Online Trajectory Correction and Tracking for Facade Inspection Using Autonomous UAV (2020)

Motion Context Network for Weakly Supervised Object Detection in Videos (2020)

Learning-based Low Light Image Enhancement for Visual Odometry (2020)

Connection Pruning for Deep Spiking Neural Networks with On-Chip Learning. (2020)

An Obstacle Detection Method for USV by Fusing of Radar and Motion Stereo (2020)

Single-Image Camera Response Function Using Prediction Consistency and Gradual Refinement. (2020)

Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention (2020)

Supervised Learning in Spiking Neural Networks with Synaptic Delay-Weight Plasticity (2020)

STBNN: Hardware-friendly spatio-temporal binary neural network with high pattern recognition accuracy (2020)

Modeling Human Driving Behavior in Highway Scenario using Inverse Reinforcement Learning. (2020)

Machine learning to predict mesenchymal stem cell efficacy for cartilage repair (2020)

Learning local discriminative representations via extreme learning machine for machine fault diagnosis (2020)

Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (2020)

Machine Learning Approaches Revealed Metabolic Signatures of Incident Chronic Kidney Disease in Persons With Pre-and Type 2 Diabetes. (2020)

Machine Learning Approaches Reveal Metabolic Signatures of Incident Chronic Kidney Disease in Individuals With Prediabetes and Type 2 Diabetes. (2020)

Machine learning and knowledge graph based design rule construction for additive manufacturing (2020)

Cryptoanalysis of the modified diffractive-imaging-based image encryption by deep learning attack (2020)

Aspect Sentiment Classification with Aspect-Specific Opinion Spans (2020)

An Empirical Study on Unsupervised Network Anomaly Detection using Generative Adversarial Networks (2020)

Geometry-aware Instance-reweighted Adversarial Training (2020)