Publications - Machine Learning SG

Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction (2020)

Simon Luo Victor W. Chu Zhidong Li Yang Wang Jianlong Zhou Fang Chen Raymond K. Wong

hierarchical dirichlet process multi task learning mixture model dirichlet distribution machine learning +6 more

Journal of data science Published 2020-05-21
Fast learning of neural networks with application to big data processes (2020)

Jose de Jesus Rubio Yongping Pan Edwin Lughofer Mu Yen Chen Jianbin Qiu

artificial neural network big data computer science artificial intelligence

Neurocomputing 6 citations Published 2020-05-21
Hybrid randomised learning-based probabilistic data-driven method for fault-induced delayed voltage recovery assessment of power systems (2020)

Chao Ren Rui Zhang Yuchen Zhang Zhao Yang Dong

ensemble learning probabilistic logic electric power system data driven machine learning +6 more

Iet Generation Transmission & Distribution Published 2020-05-19
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization (2020)

Peter Karkus Anelia Angelova Vincent Vanhoucke Rico Jonschkowski

gradient descent differentiable function robot particle filter robotics +6 more

arXiv preprint arXiv:2005.09530 2 citations Published 2020-05-19
Approaches to Improving Recognition of Underrepresented Named Entities in Hybrid ASR Systems. (2020)

Tingzhi Mao Yerbolat Khassanov Van Tung Pham Haihua Xu Hao Huang Eng Siong Chng

language model word error rate lexicon natural language processing performance improvement +4 more

arXiv preprint arXiv:2005.08742 Published 2020-05-18
Application of machine learning methods to understand and predict circulating fluidized bed riser flow characteristics (2020)

Jia Wei Chew Ray A. Cocco

artificial neural network fluidization cluster analysis mass flux fluidized bed combustion +6 more

Chemical Engineering Science 3 citations Published 2020-05-18
An inertial measurement unit tracking system for body movement in comparison with optical tracking. (2020)

Rui Li Barclay Jumet Barclay Jumet Hongliang Ren WenZhan Song Zion Tsz Ho Tse Zion Tsz Ho Tse

body movement tracking system inertial measurement unit match moving movement disorders +5 more

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine 1 citations Published 2020-05-18
Predicting Hot Events in the Early Period through Bayesian Model for Social Networks (2020)

Zuowu Zheng Xiaofeng Gao Xiao Ma Guihai Chen

bayes theorem bayesian inference bayesian probability machine learning computer science +4 more

IEEE Transactions on Knowledge and Data Engineering Published 2020-05-15
A machine learning approach to fracture mechanics problems (2020)

Xing Liu Christos E. Athanasiou Nitin P. Padture Brian W. Sheldon Huajian Gao Huajian Gao

artificial neural network fracture mechanics machine learning software deployment regression +4 more

Acta Materialia 10 citations Published 2020-05-15
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning (2020)

Jianwen Sun Tianwei Zhang Xiaofei Xie Lei Ma Yan Zheng Kangjie Chen Yang Liu

reinforcement learning adversary deep learning adversarial system computer security +3 more

arXiv preprint arXiv:2005.07099 3 citations Published 2020-05-14
Bayesian Reinforcement Learning and Bayesian Deep Learning for Blockchains with Mobile Edge Computing (2020)

Alia Asheralieva Dusit Niyato

bayesian game markov decision process bayesian probability deep learning complete information +5 more

IEEE Transactions on Cognitive Communications and Networking 1 citations Published 2020-05-14
A Wearable Joint Sensing Device Based on the Inverted Slider Crank (2020)

Jun Liang Lau Gim Song Soh

revolute joint robotics knee joint wearable computer simulation +6 more

USCToMM Symposium on Mechanical Systems and Robotics Published 2020-05-14
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction. (2020)

Guoshun Nan Zhijiang Guo Ivan Sekulić Wei Lu

relationship extraction inference heuristics f1 score syntax +6 more

arXiv preprint arXiv:2005.06312 Published 2020-05-13
Machine learning-assisted cross-domain prediction of ionic conductivity in sodium and lithium-based superionic conductors using facile descriptors (2020)

Yijie Xu Yun Zong Kedar Hippalgaonkar

fast ion conductor lithium ionic conductivity electrolyte machine learning +6 more

Journal of Physics Communications Published 2020-05-13
Deep Neighborhood Component Analysis for Visual Similarity Modeling (2020)

Xueliang Liu Xun Yang Meng Wang Richang Hong

computer science pattern recognition artificial intelligence neighborhood component analysis

ACM Transactions on Intelligent Systems and Technology 1 citations Published 2020-05-13
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video (2020)

Yancheng Wang Yang Xiao Fu Xiong Wenxiang Jiang Zhiguo Cao Joey Tianyi Zhou Junsong Yuan

feature learning voxel rgb color model pattern recognition pooling +6 more

arXiv preprint arXiv:2005.05501 Published 2020-05-12
Retrofitting embeddings for unsupervised user identity linkage (2020)

Tao Zhou Ee-Peng Lim Roy Ka-Wei Lee Feida Zhu Jiuxin Cao

machine learning embedding computer science profiling social network +3 more

Pacific-Asia Conference on Knowledge Discovery and Data Mining Published 2020-05-11
Hydrological Process Surrogate Modelling and Simulation with Neural Networks (2020)

Ruixi Zhang Remmy A. M. Zen Jifang Xing Dewa Made Sri Arsa Abhishek Saha Stéphane Bressan

surrogate model artificial neural network hydrological modelling computer simulation machine learning +6 more

Pacific-Asia Conference on Knowledge Discovery and Data Mining 1 citations Published 2020-05-11
Disk Failure Prediction: An In-Depth Comparison Between Deep Neural Networks and Tree-Based Models (2020)

Xiang Lan Pin Lin Tan Mengling Feng

anomaly detection deep learning data loss binary classification data processing +6 more

AI Ops Competition Published 2020-05-11
An end-to-end functional spiking model for sequential feature learning (2020)

Xiurui Xie Xiurui Xie Guisong Liu Qing Cai Guolin Sun Malu Zhang Malu Zhang Hong Qu

spiking neural network feature learning neuromorphic engineering encoding pattern recognition +6 more

Knowledge Based Systems 1 citations Published 2020-05-11

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Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction (2020)

Fast learning of neural networks with application to big data processes (2020)

Hybrid randomised learning-based probabilistic data-driven method for fault-induced delayed voltage recovery assessment of power systems (2020)

Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization (2020)

Approaches to Improving Recognition of Underrepresented Named Entities in Hybrid ASR Systems. (2020)

Application of machine learning methods to understand and predict circulating fluidized bed riser flow characteristics (2020)

An inertial measurement unit tracking system for body movement in comparison with optical tracking. (2020)

Predicting Hot Events in the Early Period through Bayesian Model for Social Networks (2020)

A machine learning approach to fracture mechanics problems (2020)

Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning (2020)

Bayesian Reinforcement Learning and Bayesian Deep Learning for Blockchains with Mobile Edge Computing (2020)

A Wearable Joint Sensing Device Based on the Inverted Slider Crank (2020)

Reasoning with Latent Structure Refinement for Document-Level Relation Extraction. (2020)

Machine learning-assisted cross-domain prediction of ionic conductivity in sodium and lithium-based superionic conductors using facile descriptors (2020)

Deep Neighborhood Component Analysis for Visual Similarity Modeling (2020)

3DV: 3D Dynamic Voxel for Action Recognition in Depth Video (2020)

Retrofitting embeddings for unsupervised user identity linkage (2020)

Hydrological Process Surrogate Modelling and Simulation with Neural Networks (2020)

Disk Failure Prediction: An In-Depth Comparison Between Deep Neural Networks and Tree-Based Models (2020)

An end-to-end functional spiking model for sequential feature learning (2020)