Publications - Machine Learning SG

Bayesian Deep Net GLM and GLMM (2020)

M.-N. Tran N. Nguyen D. Nott R. Kohn

generalized linear mixed model feedforward neural network deep learning stochastic optimization bayesian probability +6 more

Journal of Computational and Graphical Statistics 10 citations Published 2020-01-02
What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules (2020)

Ana Valdivia Eugenio Martínez-Cámara Iti Chaturvedi M. Victoria Luzón Erik Cambria Yew Soon Ong Francisco Herrera

sentiment analysis cluster analysis computational intelligence deep learning comprehension +3 more

Journal of Ambient Intelligence and Humanized Computing 7 citations Published 2020-01-01
Wearable solution for robust fall detection (2020)

Poi Voon Er Kok Kiang Tan

accelerometer sound pressure fuzzy logic wearable computer computer vision +3 more

1 citations Published 2020-01-01
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning. (2020)

Chen Wang Wenshan Wang Yuheng Qiu Yafei Hu Sebastian A. Scherer

computer science machine learning artificial intelligence online learning

ECCV (2) 3 citations Published 2020-01-01
Variational Bayesian Unlearning (2020)

Quoc Phong Nguyen Bryan Kian Hsiang Low Patrick Jaillet

bayesian probability artificial intelligence

Advances in Neural Information Processing Systems 1 citations Published 2020-01-01
User Authentication Based on Mouse Dynamics Using Deep Neural Networks: A Comprehensive Study (2020)

Penny Chong Yuval Elovici Alexander Binder

deep learning convolutional neural network feature extraction support vector machine transfer of learning +6 more

IEEE Transactions on Information Forensics and Security 5 citations Published 2020-01-01
Use of artificial intelligence in infectious diseases (2020)

Said Agrebi Anis Larbi Anis Larbi

infectious disease pandemic drug development medicine artificial intelligence +2 more

2 citations Published 2020-01-01
Unsupervised Video Action Clustering via Motion-Scene Interaction Constraint (2020)

Bo Peng Jianjun Lei Huazhu Fu Changqing Zhang Tat-Seng Chua Xuelong Li

cluster analysis subspace topology context model complementarity pattern recognition +6 more

IEEE Transactions on Circuits and Systems for Video Technology 7 citations Published 2020-01-01
Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks. (2020)

Zhengyuan Liu Pavitra Krishnaswamy Ai Ti Aw Nancy F. Chen

machine learning comprehension computer science artificial intelligence bayesian neural networks +1 more

COLING (Industry) Published 2020-01-01
Transforming Device Fingerprinting for Wireless Security via Online Multitask Metric Learning (2020)

Yong Luo Han Hu Yonggang Wen Dacheng Tao

metric multi task learning artificial neural network data modeling k nearest neighbors algorithm +6 more

IEEE Internet of Things Journal 4 citations Published 2020-01-01
Training Task Allocation in Federated Edge Learning: A Matching-Theoretic Approach (2020)

Jiawen Kang Zehui Xiong Dusit Niyato Zhiguang Cao Amir Leshem

edge device information privacy assignment problem upload computer science +6 more

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Published 2020-01-01
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning (2020)

Pan Zhou Jiashi Feng Chao Ma Caiming Xiong Steven Chu Hong Hoi Weinan E

deep learning cognitive science computer science artificial intelligence

Advances in Neural Information Processing Systems Published 2020-01-01
Toward Intelligent Sensing: Intermediate Deep Feature Compression (2020)

Zhuo Chen Kui Fan Shiqi Wang Lingyu Duan Weisi Lin Alex Chichung Kot

deep learning feature extraction lossy compression lossless compression cloud computing +6 more

IEEE Transactions on Image Processing 8 citations Published 2020-01-01
Top-Down Approach to Object Identification in a Cluttered Environment Using Single RGB-D Image and Combinational Classifier for Team Nanyang’s Robotic Picker at the Amazon Picking Challenge 2015 (2020)

Albert Causo Sayyed Omar Kamal Stephen Vidas I-Ming Chen

grasp classifier rgb color model robot computer vision +6 more

Published 2020-01-01
Time-Frequency Domain Analysis: Wavelet-Transform Based Fault Detection (2020)

Abhisek Ukil Yew Ming Yeap Kuntal Satpathi

daubechies wavelet wavelet wavelet transform fault detection and isolation symlet +6 more

Published 2020-01-01
Theory-Inspired Path-Regularized Differential Network Architecture Search (2020)

Pan Zhou Caiming Xiong Richard Socher Steven Chu Hong Hoi

network architecture artificial intelligence computer science

Advances in Neural Information Processing Systems 1 citations Published 2020-01-01
The Tangled Strings of Parameters and Assessment in Subtitling Quality: An Overview (2020)

Arista Szu-Yu Kuo

translation studies natural language processing computer science artificial intelligence quality assessment

Published 2020-01-01
The role of artificial intelligence in scaling nanomedicine toward broad clinical impact (2020)

Jeffrey Khong Peter Wang Tiffany Rx. Gan Tiffany Rx. Gan Jiansheng Ng Truong Thanh Lan Anh Agata Blasiak Theodore Kee Dean Ho

drug development drug delivery nanomedicine combination therapy drug +5 more

Published 2020-01-01
Temporally Refined Graph U-Nets for Human Shape and Pose Estimation From Monocular Videos (2020)

Yang Zhao Yong Dou Jiashi Feng

pose convolutional neural network polygon mesh computer vision monocular +6 more

IEEE Signal Processing Letters Published 2020-01-01
Study on Feature Complementarity of Statistics, Energy, and Principal Information for Spoofing Detection (2020)

Leian Liu Jichen Yang

spoofing attack pattern recognition feature extraction mel frequency cepstrum artificial neural network +6 more

IEEE Access Published 2020-01-01

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Bayesian Deep Net GLM and GLMM (2020)

What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules (2020)

Wearable solution for robust fall detection (2020)

Visual Memorability for Robotic Interestingness via Unsupervised Online Learning. (2020)

Variational Bayesian Unlearning (2020)

User Authentication Based on Mouse Dynamics Using Deep Neural Networks: A Comprehensive Study (2020)

Use of artificial intelligence in infectious diseases (2020)

Unsupervised Video Action Clustering via Motion-Scene Interaction Constraint (2020)

Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks. (2020)

Transforming Device Fingerprinting for Wireless Security via Online Multitask Metric Learning (2020)

Training Task Allocation in Federated Edge Learning: A Matching-Theoretic Approach (2020)

Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning (2020)

Toward Intelligent Sensing: Intermediate Deep Feature Compression (2020)

Top-Down Approach to Object Identification in a Cluttered Environment Using Single RGB-D Image and Combinational Classifier for Team Nanyang’s Robotic Picker at the Amazon Picking Challenge 2015 (2020)

Time-Frequency Domain Analysis: Wavelet-Transform Based Fault Detection (2020)

Theory-Inspired Path-Regularized Differential Network Architecture Search (2020)

The Tangled Strings of Parameters and Assessment in Subtitling Quality: An Overview (2020)

The role of artificial intelligence in scaling nanomedicine toward broad clinical impact (2020)

Temporally Refined Graph U-Nets for Human Shape and Pose Estimation From Monocular Videos (2020)

Study on Feature Complementarity of Statistics, Energy, and Principal Information for Spoofing Detection (2020)