Publications - Machine Learning SG

On Solving Cooperative MARL Problems with a Few Good Experiences (2020)

Rajiv Ranjan Kumar Pradeep Varakantham

reinforcement learning imitation search and rescue artificial intelligence scalability +5 more

arXiv preprint arXiv:2001.07993 Published 2020-01-22
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection (2020)

Mi Luo Fei Chen Pengxiang Cheng Zhenhua Dong Xiuqiang He Jiashi Feng Zhenguo Li

recommender system model selection machine learning computer science baseline +2 more

arXiv preprint arXiv:2001.10378 Published 2020-01-22
Fuzzy belief propagation in constrained Bayesian networks with application to maintenance decisions (2020)

Ke Wang Yan Yang Jian Zhou Mark Goh

bayesian network belief propagation influence diagram preventive maintenance fuzzy logic +6 more

International Journal of Production Research 1 citations Published 2020-01-22
Vietnamese Punctuation Prediction Using Deep Neural Networks (2020)

Thuy Pham Nhu Nguyen Quang Pham Han Cao Binh T. Nguyen

vietnamese punctuation conditional random field natural language processing publication +4 more

International Conference on Current Trends in Theory and Practice of Informatics Published 2020-01-20
Ultrasound needle segmentation and trajectory prediction using excitation network. (2020)

Jia Yi Lee Mobarakol Islam Jing Ru Woh T. S. Mohamed Washeem Lee Ying Clara Ngoh Weng Kin Wong Hongliang Ren

minimum bounding box segmentation trajectory frame rate computer vision +6 more

International Journal of Computer Assisted Radiology and Surgery 7 citations Published 2020-01-20
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems (2020)

Lucas Vinh Tran Yi Tay Shuai Zhang Gao Cong Xiaoli Li

boosting recommender system hyperbolic space computer science machine learning +1 more

Proceedings of the 13th International Conference on Web Search and Data Mining 10 citations Published 2020-01-20
Transfer Learning via Feature Selection Based Nonnegative Matrix Factorization (2020)

Thirunavukarasu Balasubramaniam Richi Nayak Chau Yuen

non negative matrix factorization feature vector feature selection transfer of learning recommender system +3 more

Web Information Systems Engineering – WISE 2019 20th International Conference, Proceedings Published 2020-01-19
Video-based Skeletal Feature Extraction for Hand Gesture Recognition. (2020)

Kim Chwee Lim Swee Heng Sin Chien Wei Lee Weng Khin Chin Junliang Lin Khang Nguyen Quang H. Nguyen Binh P. Nguyen Matthew Chua

gesture recognition feature extraction computer vision computer science artificial intelligence +1 more

Proceedings of the 4th International Conference on Machine Learning and Soft Computing Published 2020-01-17
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease. (2020)

Baiying Lei Nina Cheng Alejandro F Frangi Ee-Leng Tan Jiuwen Cao Peng Yang Ahmed Elazab Jie Du Yanwu Xu Tianfu Wang

multi task learning discriminative model support vector machine neuroimaging machine learning +6 more

Medical Image Analysis 5 citations Published 2020-01-17
Machine Learning Techniques and A Case Study for Intelligent Wireless Networks (2020)

Helin Yang Xianzhong Xie Michel Kadoch

wireless network wireless sensor network reinforcement learning wireless resource management +6 more

IEEE Network 3 citations Published 2020-01-17
Diabetic Retinopathy Detection using Deep Learning. (2020)

Quang H. Nguyen Ramasamy Muthuraman Laxman Singh Gopa Sen Anh Cuong Tran Binh P. Nguyen Matthew Chin Heng Chua

diabetic retinopathy ophthalmology deep learning computer science artificial intelligence

Proceedings of the 4th International Conference on Machine Learning and Soft Computing 3 citations Published 2020-01-17
Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction (2020)

Wenya Wang Sinno Jialin Pan

expression sentiment analysis recursion artificial neural network natural language processing +3 more

Computational Linguistics 2 citations Published 2020-01-16
Forging global cooperation and collaboration (2020)

Guang-Zhong Yang Tong Boon Quek Tong Boon Quek Stefano Stramigioli Han Ding Dong Sun Junku Yuh

robot robotics government engineering management engineering +2 more

Science Robotics 1 citations Published 2020-01-16
Decoding Movement-Related Cortical Potentials Based on Subject-Dependent and Section-Wise Spectral Filtering (2020)

Ji-Hoon Jeong No-Sang Kwak Cuntai Guan Seong-Whan Lee

decoding methods bandwidth brain computer interface preprocessor pattern recognition +6 more

IEEE Transactions on Neural Systems and Rehabilitation Engineering 18 citations Published 2020-01-15
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning (2020)

Ding Liu Bihan Wen Jianbo Jiao Xianming Liu Zhangyang Wang Thomas S. Huang

deep learning convolutional neural network artificial neural network upsampling computer vision +6 more

IEEE Transactions on Image Processing 16 citations Published 2020-01-15
A bioinspired analogous nerve towards artificial intelligence. (2020)

Xinqin Liao Weitao Song Xiangyu Zhang Chaoqun Yan Tianliang Li Hongliang Ren Cunzhi Liu Yongtian Wang Yongtian Wang Yuanjin Zheng

neuroprosthetics biological neural network robotics sensory system transmission +5 more

Nature Communications 8 citations Published 2020-01-14
Paying Attention to Video Object Pattern Understanding (2020)

Wenguan Wang Jianbing Shen Xiankai Lu Steven C.H. Hoi Haibin Ling

segmentation interpretability computer vision artificial intelligence computer science +5 more

IEEE Transactions on Pattern Analysis and Machine Intelligence 6 citations Published 2020-01-13
Deep Clustering With Variational Autoencoder (2020)

Kart-Leong Lim Xudong Jiang Chenyu Yi

autoencoder cluster analysis mixture model euclidean distance k means clustering +6 more

IEEE Signal Processing Letters 5 citations Published 2020-01-13
Multi-source Domain Adaptation for Visual Sentiment Classification (2020)

Chuang Lin Sicheng Zhao Lei Meng Tat-Seng Chua

multi source machine learning computer science artificial intelligence domain adaptation +4 more

arXiv preprint arXiv:2001.03886 Published 2020-01-12
Machine-Learning Studies on Spin Models (2020)

Kenta Shiina Kenta Shiina Hiroyuki Mori Yutaka Okabe Hwee Kuan Lee

correlation function spin phase transition physical quantity machine learning +4 more

arXiv preprint arXiv:2001.03989 Published 2020-01-12

Previous Next

On Solving Cooperative MARL Problems with a Few Good Experiences (2020)

MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection (2020)

Fuzzy belief propagation in constrained Bayesian networks with application to maintenance decisions (2020)

Vietnamese Punctuation Prediction Using Deep Neural Networks (2020)

Ultrasound needle segmentation and trajectory prediction using excitation network. (2020)

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems (2020)

Transfer Learning via Feature Selection Based Nonnegative Matrix Factorization (2020)

Video-based Skeletal Feature Extraction for Hand Gesture Recognition. (2020)

Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease. (2020)

Machine Learning Techniques and A Case Study for Intelligent Wireless Networks (2020)

Diabetic Retinopathy Detection using Deep Learning. (2020)

Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction (2020)

Forging global cooperation and collaboration (2020)

Decoding Movement-Related Cortical Potentials Based on Subject-Dependent and Section-Wise Spectral Filtering (2020)

Connecting Image Denoising and High-Level Vision Tasks via Deep Learning (2020)

A bioinspired analogous nerve towards artificial intelligence. (2020)

Paying Attention to Video Object Pattern Understanding (2020)

Deep Clustering With Variational Autoencoder (2020)

Multi-source Domain Adaptation for Visual Sentiment Classification (2020)

Machine-Learning Studies on Spin Models (2020)