Publications - Machine Learning SG

Social Recommendation with Optimal Limited Attention (2019)

Xin Wang Wenwu Zhu Chenghao Liu

machine learning computer science intrinsic value artificial intelligence rigorous proof

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 8 citations Published 2019-07-25
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization (2019)

Peng Han Peng Yang Peilin Zhao Shuo Shang Yong Liu Jiayu Zhou Xin Gao Panos Kalnis

matrix decomposition deep learning linear model computational biology computer science +5 more

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 16 citations Published 2019-07-25
Effective and Efficient Sports Play Retrieval with Deep Representation Learning (2019)

Zheng Wang Cheng Long Gao Cong Ce Ju

feature learning similarity measure deep learning machine learning tracking system +3 more

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 5 citations Published 2019-07-25
Adversarial Learning on Heterogeneous Information Networks (2019)

Binbin Hu Yuan Fang Chuan Shi

embedding minimax discriminator machine learning performance improvement +6 more

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 29 citations Published 2019-07-25
Monitoring Performance Measures for Radar Air Traffic Controllers Using Eye Tracking Techniques (2019)

Hong Jie Wee Sun Woh Lye Jean-Philippe Pinheiro

radar eye tracking air traffic control air traffic controller fixation +4 more

International Conference on Applied Human Factors and Ergonomics 1 citations Published 2019-07-24
Optically readable tags and methods and systems for decoding an optically readable tag (2019)

Causo Albert Jacinto Luxman Ramamoorthy Chen I-Ming

decoding methods encoding computer vision computer science artificial intelligence

Published 2019-07-23
Ensemble of Deep Recurrent Neural Networks for Identifying Enhancers via Dinucleotide Physicochemical Properties (2019)

Kok Keng Tan Nguyen Quoc Khanh Le Hui-Yuan Yeh Matthew Chin Heng Chua

deep learning recurrent neural network enhancer computational biology gene +3 more

Cells 5 citations Published 2019-07-23
Editorial: Special Issue on Artificial Intelligence and Computer Vision (2019)

Han Wang

artificial intelligence computer science

Unmanned Systems Published 2019-07-23
Wavelength detection of model-sharing fiber Bragg grating sensor networks using long short-term memory neural network. (2019)

Hao Jiang Qiying Zeng Jing Chen Xiaojie Qiu Xinyu Liu Zhenghua Chen Xiren Miao

fiber bragg grating recurrent neural network wireless sensor network deep learning multiplexing +7 more

Optics Express 4 citations Published 2019-07-22
Getting More with Less: Artificial Intelligence can Boost Optical Coherence Tomography Images (2019)

Michael J A Girard Haris Cheong Sripad Krishna Devalla Giridhar Subramanian Tan Hung Pham Tin A Tun Shamira Perera Tin Aung Leopold Schmetterer Alexandre Thiery

optical coherence tomography computer vision computer science artificial intelligence

Investigative Ophthalmology & Visual Science Published 2019-07-22
Effect of Image Compression and Number of Fields on a Deep Learning System for Detection of Diabetic Retinopathy (2019)

Michelle Y.T. Yip Gilbert Lim Valentina Bellemo Yuchen Xie Xin Qi Lee Quang Nguyen Haslina Hamzah Jinyi Ho Charumathi Sabanayagam Carol Yim-lui Cheung Gavin Siew Wei Tan Wynne Hsu Mong Li Lee Tien Yin Wong Daniel Sw Ting

image compression diabetic retinopathy deep learning ophthalmology medicine +1 more

Investigative Ophthalmology & Visual Science 1 citations Published 2019-07-22
Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey (2019)

Siqi Liu Kee Yuan Ngiam Mengling Feng

decision support system reinforcement learning clinical decision support system deep learning machine learning +4 more

arXiv preprint arXiv:1907.09475 2 citations Published 2019-07-22
Deep Neural Networks and Kernel Regression Achieve Comparable Accuracies for Functional Connectivity Prediction of Behavior and Demographics (2019)

Tong He Ru Kong Avram J. Holmes Minh Nguyen Mert R. Sabuncu Simon B. Eickhoff Danilo Bzdok Danilo Bzdok Jiashi Feng B.T. Thomas Yeo

kernel regression feedforward neural network connectome sample size determination human connectome project +6 more

bioRxiv 7 citations Published 2019-07-22
Cost-Effectiveness Analysis of an Artificial Intelligence-Assisted Deep Learning System Implemented in the National Tele-Medicine Diabetic Retinopathy Screening in Singapore (2019)

Yuchen Xie Quang Nguyen Valentina Bellemo Michelle Y.T. Yip Xin Qi Lee Haslina Hamzah Gilbert Lim Wynne Hsu Mong Li Lee Jie Jin Wang Ching-Yu Cheng Eric Andrew Finkelstein Ecosse Luc Lamoureux Gavin Siew Wei Tan Tien Yin Wong Daniel Sw Ting

deep learning cost effectiveness analysis medical emergency medicine artificial intelligence +2 more

Investigative Ophthalmology & Visual Science 1 citations Published 2019-07-22
Artificial Intelligence Deep Learning System for Predicting Chronic Kidney Disease from Retinal Images (2019)

Tien Y Wong Dejiang Xu Daniel Ting Simon Nusinovici Carol Cheung Tai E Shyong Ching-Yu Cheng Mong Li Lee Wynne Hsu Charumathi Sabanayagam

kidney disease retinal deep learning medicine neuroscience +1 more

Investigative Ophthalmology & Visual Science 1 citations Published 2019-07-22
Adaptive Spatial Modulation MIMO Based on Machine Learning (2019)

Ping Yang Yue Xiao Ming Xiao Yong Liang Guan Shaoqian Li Wei Xiang

feature vector link adaptation support vector machine orthogonal frequency division multiplexing mimo +6 more

IEEE Journal on Selected Areas in Communications 13 citations Published 2019-07-22
DART: Distribution Aware Retinal Transform for Event-based Cameras (2019)

Bharath Ramesh Hong Yang Garrick Michael Orchard Ngoc Anh Le Thi Shihao Zhang Cheng Xiang

dart retinal computer vision computer science artificial intelligence +1 more

Elements Published 2019-07-21
Lesion Segmentation and Automated Melanoma Detection using Deep Convolutional Neural Networks and XGBoost (2019)

Hung N. Pham Chin Yang Koay Tanmoy Chakraborty Sudhanshu Gupta Boon Leong Tan Huaqing Wu Apurva Vardhan Quang H. Nguyen Nirmal Raja Palaparthi Binh P. Nguyen Matthew C. H. Chua

image segmentation double check deep learning segmentation convolutional neural network +6 more

2019 International Conference on System Science and Engineering (ICSSE) Published 2019-07-20
Flexible Sparse Representation Based Inverse Synthetic Aperture Radar Imaging (2019)

Lu Wang Guoan Bi Xianpeng Wang

inverse synthetic aperture radar sparse approximation radar doppler effect bayesian inference +6 more

International Conference in Communications, Signal Processing, and Systems Published 2019-07-20
Breast Cancer Prediction using Feature Selection and Ensemble Voting (2019)

Quang H. Nguyen Trang T. T. Do Yijing Wang Sin Swee Heng Kelly Chen Wei Hao Max Ang Conceicao Edwin Philip Misha Singh Hung N. Pham Binh P. Nguyen Matthew C. H. Chua

breast cancer classification feature scaling breast cancer feature selection random forest +6 more

2019 International Conference on System Science and Engineering (ICSSE) Published 2019-07-20

Previous Next

Social Recommendation with Optimal Limited Attention (2019)

GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization (2019)

Effective and Efficient Sports Play Retrieval with Deep Representation Learning (2019)

Adversarial Learning on Heterogeneous Information Networks (2019)

Monitoring Performance Measures for Radar Air Traffic Controllers Using Eye Tracking Techniques (2019)

Optically readable tags and methods and systems for decoding an optically readable tag (2019)

Ensemble of Deep Recurrent Neural Networks for Identifying Enhancers via Dinucleotide Physicochemical Properties (2019)

Editorial: Special Issue on Artificial Intelligence and Computer Vision (2019)

Wavelength detection of model-sharing fiber Bragg grating sensor networks using long short-term memory neural network. (2019)

Getting More with Less: Artificial Intelligence can Boost Optical Coherence Tomography Images (2019)

Effect of Image Compression and Number of Fields on a Deep Learning System for Detection of Diabetic Retinopathy (2019)

Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey (2019)

Deep Neural Networks and Kernel Regression Achieve Comparable Accuracies for Functional Connectivity Prediction of Behavior and Demographics (2019)

Cost-Effectiveness Analysis of an Artificial Intelligence-Assisted Deep Learning System Implemented in the National Tele-Medicine Diabetic Retinopathy Screening in Singapore (2019)

Artificial Intelligence Deep Learning System for Predicting Chronic Kidney Disease from Retinal Images (2019)

Adaptive Spatial Modulation MIMO Based on Machine Learning (2019)

DART: Distribution Aware Retinal Transform for Event-based Cameras (2019)

Lesion Segmentation and Automated Melanoma Detection using Deep Convolutional Neural Networks and XGBoost (2019)

Flexible Sparse Representation Based Inverse Synthetic Aperture Radar Imaging (2019)

Breast Cancer Prediction using Feature Selection and Ensemble Voting (2019)