Publications - Machine Learning SG

Sideways Walking Control of a Cyborg Beetle (2020)

Huu Duoc Nguyen Pak Zan Tan Hirotaka Sato T. Thang Vo-Doan

search and rescue elytron robot computer vision computer science +3 more

IEEE Transactions on Medical Robotics and Bionics Published 2020-06-24
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism (2020)

Wang Chi Cheung David Simchi-Levi Ruihao Zhu

markov decision process reinforcement learning optimism blessing artificial intelligence +1 more

Proceedings of the International Conference on Machine Learning 1 citations Published 2020-06-24
Efficient Constituency Parsing by Pointing (2020)

Thanh-Tung Nguyen Xuan-Phi Nguyen Shafiq Joty Xiaoli Li

parsing treebank inference natural language processing decoding methods +5 more

arXiv preprint arXiv:2006.13557 Published 2020-06-24
CC2Vec: Distributed Representations of Code Changes (2020)

Thong Hoang Hong Jin Kang David Lo Julia Lawall

code software artificial neural network machine learning computer science +4 more

Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering 1 citations Published 2020-06-24
A Human Support Robot for the Cleaning and Maintenance of Door Handles Using a Deep-Learning Framework. (2020)

Balakrishnan Ramalingam Jia Yin Mohan Rajesh Elara Yokhesh Krishnasamy Tamilselvam Madan Mohan Rayguru M. A. Viraj J. Muthugala Braulio Félix Félix Gómez

mobile robot robot automation object detection control engineering +6 more

Sensors 5 citations Published 2020-06-23
Few-shot 3D Point Cloud Semantic Segmentation. (2020)

Na Zhao Tat-Seng Chua Gim Hee Lee

transduction point cloud feature learning segmentation discriminative model +6 more

arXiv preprint arXiv:2006.12052 1 citations Published 2020-06-22
Context Based Quantum Language Model with Application to Question Answering (2020)

Qin Zhao Chenguang Hou Ruifeng Xu

question answering language model natural language processing computer science quantum +2 more

International Conference on Cognitive Computing Published 2020-06-22
Comparison of base classifiers for multi-label learning (2020)

Edward Kien Yee Yapp Xiang Li Wen Feng Lu Puay Siew Tan

classifier chains naive bayes classifier ensemble learning support vector machine classifier +6 more

Neurocomputing 3 citations Published 2020-06-21
On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks. (2020)

Edwin Lughofer Alexandru-Ciprian Zavoianu Robert Pollak Mahardhika Pratama Pauline Meyer-Heye Helmut Zörrer Christian Eitzinger Thomas Radauer

anomaly detection false alarm residual independent component analysis regression analysis +6 more

Information Sciences 1 citations Published 2020-06-20
Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts. (2020)

Naeimeh Atabaki-Pasdar Mattias Ohlsson Mattias Ohlsson Ana Viñuela Ana Viñuela Francesca Frau Hugo Pomares-Millan Mark Haid Angus G. Jones E. Louise Thomas Robert W. Koivula Azra Kurbasic Pascal M. Mutie Hugo Fitipaldi Juan Fernandez Adem Y. Dawed Giuseppe N. Giordano Ian M. Forgie Timothy J. McDonald Femke Rutters Henna Cederberg Elizaveta Chabanova Matilda Dale Federico de Masi Cecilia Engel Thomas Kristine H. Allin Tue H. Hansen Alison Heggie Mun Gwan Hong Petra J.M. Elders Gwen Kennedy Tarja Kokkola Helle Krogh Pedersen Anubha Mahajan Donna McEvoy Francois Pattou Violeta Raverdy Ragna S. Häussler Sapna Sharma Henrik S. Thomsen Jagadish Vangipurapu Henrik Vestergaard Henrik Vestergaard Leen M. T Hart Leen M. T Hart Jerzy Adamski Jerzy Adamski Petra B. Musholt Soren Brage Søren Brunak Søren Brunak Emmanouil Dermitzakis Emmanouil Dermitzakis Gary Frost Torben Hansen Torben Hansen Markku Laakso Oluf Pedersen Martin Ridderstråle Hartmut Ruetten Andrew T. Hattersley Mark Walker Joline W.J. Beulens Joline W.J. Beulens Andrea Mari Jochen M. Schwenk Ramneek Gupta Mark I. McCarthy Mark I. McCarthy Ewan R. Pearson Jimmy D. Bell Imre Pavo Paul W. Franks Paul W. Franks

omics fatty liver prospective cohort study receiver operating characteristic cohort +6 more

PLOS Medicine 4 citations Published 2020-06-19
Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains (2020)

Cen Chen Xiaofeng Zou Zeng Zeng Zhongyao Cheng Le Zhang Steven C. H. Hoi

object detection visual inspection commonsense knowledge train deep learning +6 more

IEEE Transactions on Systems, Man, and Cybernetics Published 2020-06-19
End-to-End Blind Image Quality Prediction With Cascaded Deep Neural Network (2020)

Jinjian Wu Jupo Ma Fuhu Liang Weisheng Dong Guangming Shi Weisi Lin

image quality convolutional neural network feature extraction mean opinion score human visual system model +6 more

IEEE Transactions on Image Processing 2 citations Published 2020-06-19
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax (2020)

Yu Li Tao Wang Bingyi Kang Sheng Tang Chunfeng Wang Jintao Li Jiashi Feng

object detection softmax function contextual image classification deep learning classifier +6 more

arXiv preprint arXiv:2006.10408 1 citations Published 2020-06-18
Optimal Spot-Checking for Improving the Evaluation Quality of Crowdsourcing: Application to Peer Grading Systems (2020)

Wanyuan Wang Bo An Yichuan Jiang

grading crowdsourcing approximation algorithm machine learning computer science +6 more

IEEE Transactions on Computational Social Systems Published 2020-06-18
Online Deep Clustering for Unsupervised Representation Learning (2020)

Xiaohang Zhan Jiahao Xie Ziwei Liu Yew Soon Ong Chen Change Loy

cluster analysis feature learning classifier pattern recognition centroid +3 more

arXiv preprint arXiv:2006.10645 Published 2020-06-18
Probability-Based Energy Reinforced Management of Electric Vehicle Aggregation in the Electrical Grid Frequency Regulation (2020)

Chaoyu Dong Jianwen Sun Feng Wu Hongjie Jia

electrical grid reinforcement learning energy management grid electric vehicle +6 more

IEEE Access 1 citations Published 2020-06-16
Prediction of ROSC After Cardiac Arrest Using Machine Learning. (2020)

Nan Liu Andrew Fu Wah Ho Pin Pin Pek Tsung-Chien Lu Pairoj Khruekarnchana Kyoung Jun Song Hideharu Tanaka Ghulam Yasin Naroo Han Nee Gan Zhixiong Koh Huei-Ming Ma Marcus Eng Hock Ong

return of spontaneous circulation resuscitation survival rate medicine machine learning +2 more

medical informatics europe Published 2020-06-16
Model Explanations with Differential Privacy. (2020)

Neel Patel Reza Shokri Yair Zick

information privacy differential privacy gradient descent computer science drawback +5 more

arXiv preprint arXiv:2006.09129 1 citations Published 2020-06-16
Governing the adoption of robotics and autonomous systems in long-term care in Singapore (2020)

Si Ying Tan Araz Taeihagh

long term care robotics autonomous system corporate governance engineering management +2 more

Policy and Society 4 citations Published 2020-06-16
Low-dose CT with deep learning regularization via proximal forward backward splitting. (2020)

Qiaoqiao Ding Gaoyu Chen Gaoyu Chen Xiaoqun Zhang Qiu Huang Hui Ji Hao Gao

iterative reconstruction regularization deep learning algorithm fuse +6 more

Physics in Medicine and Biology 3 citations Published 2020-06-15

Previous Next

Sideways Walking Control of a Cyborg Beetle (2020)

Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism (2020)

Efficient Constituency Parsing by Pointing (2020)

CC2Vec: Distributed Representations of Code Changes (2020)

A Human Support Robot for the Cleaning and Maintenance of Door Handles Using a Deep-Learning Framework. (2020)

Few-shot 3D Point Cloud Semantic Segmentation. (2020)

Context Based Quantum Language Model with Application to Question Answering (2020)

Comparison of base classifiers for multi-label learning (2020)

On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks. (2020)

Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts. (2020)

Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains (2020)

End-to-End Blind Image Quality Prediction With Cascaded Deep Neural Network (2020)

Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax (2020)

Optimal Spot-Checking for Improving the Evaluation Quality of Crowdsourcing: Application to Peer Grading Systems (2020)

Online Deep Clustering for Unsupervised Representation Learning (2020)

Probability-Based Energy Reinforced Management of Electric Vehicle Aggregation in the Electrical Grid Frequency Regulation (2020)

Prediction of ROSC After Cardiac Arrest Using Machine Learning. (2020)

Model Explanations with Differential Privacy. (2020)

Governing the adoption of robotics and autonomous systems in long-term care in Singapore (2020)

Low-dose CT with deep learning regularization via proximal forward backward splitting. (2020)