Publications - Machine Learning SG

Deep Learning for Matching in Search and Recommendation (2019)

Jun Xu Xiangnan He Hang Li

semantic matching collaborative filtering recommender system deep learning raw data +5 more

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining Published 2019-01-30
A Simple Convolutional Generative Network for Next Item Recommendation (2019)

Fajie Yuan Alexandros Karatzoglou Ioannis Arapakis Joemon M. Jose Xiangnan He

generative model convolutional neural network recommender system network architecture pooling +6 more

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining 85 citations Published 2019-01-30
Optical colour image encryption using spiral phase transform and chaotic pixel scrambling (2019)

R. Kumar C. Quan

encryption scrambling pixel chaotic spiral +4 more

Journal of Modern Optics 9 citations Published 2019-01-29
Large Scale Online Multiple Kernel Regression with Application to Time-Series Prediction (2019)

Doyen Sahoo Steven C. H. Hoi Bin Li

kernel kernel regression kernel heuristic time series +6 more

ACM Transactions on Knowledge Discovery From Data 8 citations Published 2019-01-29
Inspiration From Games and Entertainment Artifacts: A Rising Paradigm for Designing Mechanisms and Algorithms in Robotics (2019)

Ning Tan Ning Tan Nishaan Brahmananthan Rajesh Elara Mohan Veerajagadheswar Prabakaran

design paradigm robot motion planning robotics entertainment +6 more

Frontiers in Robotics and AI Published 2019-01-29
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. (2019)

Jin Chao Ahmad Al Badawi Balagopal Unnikrishnan Jie Lin Chan Fook Mun James M. Brown J. Peter Campbell Michael F. Chiang Jayashree Kalpathy-Cramer Vijay Ramaseshan Chandrasekhar Pavitra Krishnaswamy Khin Mi Mi Aung

deep learning inference encryption convolutional neural network homomorphic encryption +6 more

arXiv preprint arXiv:1901.10074 4 citations Published 2019-01-29
Applying Visual Domain Style Transfer and Texture Synthesis Techniques to Audio - Insights and Challenges (2019)

M. Huzaifah L. Wyse

spectrogram texture synthesis deep learning parametric statistics frequency scaling +6 more

arXiv preprint arXiv:1901.10240 Published 2019-01-29
Computational Geometric Tools for Modeling Inherent Variability in Animal Behavior (2019)

Matthew T. Stamps Soo Go Ajay S. Mathuru

distortion trajectory pattern recognition spite alarm +5 more

bioRxiv Published 2019-01-26
QASA: Advanced Document Retriever for Open-Domain Question Answering by Learning to Rank Question-Aware Self-Attentive Document Representations (2019)

Trang M. Nguyen Van-Lien Tran Duy-Cat Can Quang-Thuy Ha Ly T. Vu Eng-Siong Chng

learning to rank question answering document retrieval deep learning ranking +6 more

Proceedings of the 3rd International Conference on Machine Learning and Soft Computing Published 2019-01-25
Axis-coupled trajectory generation for chains of integrators through smoothing splines (2019)

Shupeng Lai Menglu Lan Kehong Gong Ben M. Chen Ben M. Chen

quadratic programming smoothing spline integrator trajectory b spline +6 more

Control Theory and Technology Published 2019-01-25
Artificial Intelligence Using Deep Learning to Screen for Referable and Vision-Threatening Diabetic Retinopathy in Africa (2019)

Valentina Bellemo Zhan W Lim Gilbert Lim Quang D Nguyen Yuchen Xie Michelle Yt Yip Haslina Hamzah Jinyi Ho Xin Q Lee Wynne Hsu Mong L Lee Lillian Musonda Manju Chandran Grace Chipalo-Mutati Mulenga Muma Gavin Sw Tan Sobha Sivaprasad Geeta Menon Tien Y Wong Daniel Shu Wei Ting

population institutional review board diabetic retinopathy declaration of helsinki declaration +5 more

6 citations Published 2019-01-25
Semi-supervised deep embedded clustering (2019)

Yazhou Ren Kangrong Hu Xinyi Dai Lili Pan Steven C.H. Hoi Zenglin Xu

cluster analysis feature learning semi supervised learning feature vector robustness +6 more

Neurocomputing 28 citations Published 2019-01-24
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction (2019)

Huaxiu Yao Yiding Liu Ying Wei Xianfeng Tang Zhenhui Li

smart city data collection transfer of learning initialization machine learning +5 more

arXiv preprint arXiv:1901.08518 4 citations Published 2019-01-24
Adaptive Weber-face for robust illumination face recognition (2019)

Chao Yang Shiqian Wu Hongping Fang Meng Joo Er

facial recognition system local binary patterns pattern recognition computer science artificial intelligence +1 more

Computing Published 2019-01-24
Sentiment and Sarcasm Classification with Multitask Learning. (2019)

Navonil Majumder Soujanya Poria Haiyun Peng Niyati Chhaya Erik Cambria Alexander Gelbukh

sarcasm multi task learning artificial neural network natural language processing computer science +1 more

arXiv preprint arXiv:1901.08014 1 citations Published 2019-01-23
Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI. (2019)

Fatemeh Fahimi Zhuo Zhang Wooi Boon Goh Tih-Shi Lee Kai Keng Ang Cuntai Guan

deep learning convolutional neural network artificial neural network transfer of learning feature extraction +5 more

Journal of Neural Engineering 53 citations Published 2019-01-23
Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test. (2019)

Kewei Huang Mengke Qiao Xuanqi Liu Mingxi Dai Siyuan Liu

normality test test statistic uniformly most powerful test q q plot statistical hypothesis testing +6 more

arXiv preprint arXiv:1901.07851 Published 2019-01-23
WaveCSP: a robust motor imagery classifier for consumer EEG devices. (2019)

Mohamed Athif Mohamed Athif Hongliang Ren

statistical classification motor imagery brain computer interface wavelet transform headset +6 more

Australasian Physical & Engineering Sciences in Medicine 1 citations Published 2019-01-22
Photometric Redshift Analysis using Supervised Learning Algorithms and Deep Learning (2019)

Kenny Chong Abel Yang

photometric redshift mean squared error standard deviation galaxy outlier +6 more

arXiv preprint arXiv:1901.07544 2 citations Published 2019-01-22
A 0.16pJ/bit recurrent neural network based PUF for enhanced machine learning attack resistance (2019)

Nimesh Shah Manaar Alam Durga Prasad Sahoo Debdeep Mukhopadhyay Arindam Basu

physical unclonable function arbiter recurrent neural network comparator electronic circuit +6 more

Proceedings of the 24th Asia and South Pacific Design Automation Conference on Published 2019-01-21

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Deep Learning for Matching in Search and Recommendation (2019)

A Simple Convolutional Generative Network for Next Item Recommendation (2019)

Optical colour image encryption using spiral phase transform and chaotic pixel scrambling (2019)

Large Scale Online Multiple Kernel Regression with Application to Time-Series Prediction (2019)

Inspiration From Games and Entertainment Artifacts: A Rising Paradigm for Designing Mechanisms and Algorithms in Robotics (2019)

CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. (2019)

Applying Visual Domain Style Transfer and Texture Synthesis Techniques to Audio - Insights and Challenges (2019)

Computational Geometric Tools for Modeling Inherent Variability in Animal Behavior (2019)

QASA: Advanced Document Retriever for Open-Domain Question Answering by Learning to Rank Question-Aware Self-Attentive Document Representations (2019)

Axis-coupled trajectory generation for chains of integrators through smoothing splines (2019)

Artificial Intelligence Using Deep Learning to Screen for Referable and Vision-Threatening Diabetic Retinopathy in Africa (2019)

Semi-supervised deep embedded clustering (2019)

Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction (2019)

Adaptive Weber-face for robust illumination face recognition (2019)

Sentiment and Sarcasm Classification with Multitask Learning. (2019)

Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI. (2019)

Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test. (2019)

WaveCSP: a robust motor imagery classifier for consumer EEG devices. (2019)

Photometric Redshift Analysis using Supervised Learning Algorithms and Deep Learning (2019)

A 0.16pJ/bit recurrent neural network based PUF for enhanced machine learning attack resistance (2019)