Publications - Machine Learning SG

Combating noisy labels by agreement: A joint training method with co-regularization (2020)

Hongxin Wei Lei Feng Xiangyu Chen Bo An

supervised learning mnist database deep learning machine learning regularization +5 more

arXiv preprint arXiv:2003.02752 4 citations Published 2020-03-05
Color Image Demosaicing Using Progressive Collaborative Representation (2020)

Zhangkai Ni Kai-Kuang Ma Huanqiang Zeng Baojiang Zhong

demosaicing standard test image color image image quality feature extraction +6 more

IEEE Transactions on Image Processing 1 citations Published 2020-03-04
BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation (2020)

Wei Hao Khoong

image segmentation convolutional neural network artificial neural network segmentation pattern recognition +2 more

arXiv preprint arXiv:2003.01581 Published 2020-03-03
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms (2020)

Thomas Schaffter Diana S. M. Buist Christoph I. Lee Yaroslav Nikulin Dezső Ribli Yuanfang Guan William Lotter Zequn Jie Hao Du Sijia Wang Jiashi Feng Mengling Feng Hyo-Eun Kim Francisco Albiol Alberto Albiol Stephen Morrell Zbigniew Wojna Mehmet Eren Ahsen Umar Asif Antonio Jimeno Yepes Shivanthan Yohanandan Simona Rabinovici-Cohen Darvin Yi Bruce Hoff Thomas Yu Elias Chaibub Neto Daniel L. Rubin Peter Lindholm Laurie R. Margolies Russell Bailey McBride Joseph H. Rothstein Weiva Sieh Rami Ben-Ari Stefan Harrer Andrew Trister Stephen Friend Thea Norman Berkman Sahiner Fredrik Strand Fredrik Strand Justin Guinney Gustavo Stolovitzky Lester Mackey Joyce Cahoon Li Shen Jae Ho Sohn Hari Trivedi Yiqiu Shen Ljubomir Buturovic Jose Costa Pereira Jaime S. Cardoso Eduardo Castro Karl Trygve Kalleberg Obioma Pelka Imane Nedjar Krzysztof J. Geras Felix Nensa Ethan Goan Sven Koitka Luis Caballero David D. Cox Pavitra Krishnaswamy Gaurav Pandey Christoph M. Friedrich Dimitri Perrin Clinton Fookes Bibo Shi Gerard Cardoso Negrie Michael Kawczynski Kyunghyun Cho Can Son Khoo Joseph Y. Lo A. Gregory Sorensen Hwejin Jung

mammography false positive paradox breast cancer risk factor medline +6 more

JAMA network open 17 citations Published 2020-03-02
Weakly-Supervised Multi-Person Action Recognition in 360° Videos (2020)

Junnan Li Jianquan Liu Yongkang Wang Shoji Nishimura Mohan S. Kankanhalli

computer vision artificial intelligence omnidirectional antenna computer science action recognition

2020 IEEE Winter Conference on Applications of Computer Vision (WACV) 5 citations Published 2020-03-01
Unsupervised learning for fault detection and diagnosis of air handling units (2020)

Ke Yan Jing Huang Wen Shen Zhiwei Ji

supervised learning unsupervised learning fault detection and isolation machine learning data point +5 more

Energy and Buildings 13 citations Published 2020-03-01
Three-dimensional integral imaging with circular non-uniform distribution (2020)

Miao Zhang Zhaolong Zhong Yongri Piao Weitao Song Yue Liu Yongtian Wang

integral imaging uniform distribution voxel pickup computer vision +2 more

Optics and Lasers in Engineering Published 2020-03-01
Stochastic Dynamics for Video Infilling (2020)

Qiangeng Xu Hanwang Zhang Weiyue Wang Peter N. Belhumeur Ulrich Neumann

interpolation temporal resolution local consistency coherence algorithm +6 more

2020 IEEE Winter Conference on Applications of Computer Vision (WACV) 4 citations Published 2020-03-01
Self-semi-supervised clustering for large scale data with massive null group (2020)

Soohyun Ahn Hyungwon Choi Johan Lim Kyeong Eun Lee

cluster analysis bayesian inference pattern recognition mathematics artificial intelligence +3 more

Journal of The Korean Statistical Society Published 2020-03-01
Self-Growing Spatial Graph Networks for Pedestrian Trajectory Prediction (2020)

Sirin Haddad Siew-Kei Lam

network model crowds thresholding trajectory polynomial +5 more

2020 IEEE Winter Conference on Applications of Computer Vision (WACV) 4 citations Published 2020-03-01
ScatterNet: A Deep Subjective Similarity Model for Visual Analysis of Scatterplots (2020)

Yuxin Ma Anthony K. H. Tung Wei Wang Xiang Gao Zhigeng Pan Wei Chen

scatternet visualization visual perception artificial neural network feature extraction +6 more

IEEE Transactions on Visualization and Computer Graphics 17 citations Published 2020-03-01
Reduction of transients in switches using embedded machine learning (2020)

P. Suresh S. George Fernandez S. Vidyasagar V. Kalyanasundaram K. Vijayakumar Vaidheeswaran Archana Soham Chatterjee

converters artificial neural network voltage computer science machine learning +1 more

International Journal of Power Electronics and Drive Systems Published 2020-03-01
Predicting the state of charge and health of batteries using data-driven machine learning (2020)

Man-Fai Ng Jin Zhao Qingyu Yan Gareth J. Conduit Zhi Wei Seh

state of health state of charge battery test data generation energy storage +6 more

Nature Machine Intelligence 20 citations Published 2020-03-01
Part-based visual tracking with spatially regularized correlation filters (2020)

Dejun Zhang Zhao Zhang Lu Zou Zhuyang Xie Fazhi He Yiqi Wu Zhigang Tu

video tracking discriminative model filter design eye tracking multiple correlation +6 more

The Visual Computer 9 citations Published 2020-03-01
Mutually Guided Image Filtering (2020)

Xiaojie Guo Yu Li Jiayi Ma Haibin Ling

composite image filter filter image restoration graphics kernel +6 more

IEEE Transactions on Pattern Analysis and Machine Intelligence 15 citations Published 2020-03-01
Machine Learning-Based Design Concept Evaluation (2020)

Bradley Camburn Yuejun He Sujithra Raviselvam Jianxi Luo Kristin Wood

computer science machine learning artificial intelligence concept evaluation

Journal of Mechanical Design 3 citations Published 2020-03-01
Learning Representations With Local and Global Geometries Preserved for Machine Fault Diagnosis (2020)

Yue Li Chamara Kasun Liyanaarachchi Lekamalage Tianchi Liu Pin-An Chen Guang-Bin Huang

feature learning feature extraction discriminative model deep learning matrix decomposition +3 more

IEEE Transactions on Industrial Electronics 4 citations Published 2020-03-01
Layered Formation-containment Control of Multi-agent Systems in Constrained Space (2020)

Dongyu Li Dongyu Li Shuzhi Sam Ge Guangfu Ma Wei He

lyapunov stability dirac delta function artificial neural network multi agent system estimator +6 more

International Journal of Control Automation and Systems Published 2020-03-01
Large-Scale Empirical Studies on Effort-Aware Security Vulnerability Prediction Methods (2020)

Xiang Chen Yingquan Zhao Zhanqi Cui Guozhu Meng Yang Liu Zan Wang

vulnerability software metric source lines of code software inspection ranking +6 more

IEEE Transactions on Reliability 4 citations Published 2020-03-01
Image Hashing via Linear Discriminant Learning (2020)

Weixiang Hong Yu-Ting Chang Haifang Qin Wei-Chih Hung Yi-Hsuan Tsai Ming-Hsuan Yang

image retrieval discriminative model linear discriminant analysis deep learning hash function +6 more

2020 IEEE Winter Conference on Applications of Computer Vision (WACV) 1 citations Published 2020-03-01

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Combating noisy labels by agreement: A joint training method with co-regularization (2020)

Color Image Demosaicing Using Progressive Collaborative Representation (2020)

BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation (2020)

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms (2020)

Weakly-Supervised Multi-Person Action Recognition in 360° Videos (2020)

Unsupervised learning for fault detection and diagnosis of air handling units (2020)

Three-dimensional integral imaging with circular non-uniform distribution (2020)

Stochastic Dynamics for Video Infilling (2020)

Self-semi-supervised clustering for large scale data with massive null group (2020)

Self-Growing Spatial Graph Networks for Pedestrian Trajectory Prediction (2020)

ScatterNet: A Deep Subjective Similarity Model for Visual Analysis of Scatterplots (2020)

Reduction of transients in switches using embedded machine learning (2020)

Predicting the state of charge and health of batteries using data-driven machine learning (2020)

Part-based visual tracking with spatially regularized correlation filters (2020)

Mutually Guided Image Filtering (2020)

Machine Learning-Based Design Concept Evaluation (2020)

Learning Representations With Local and Global Geometries Preserved for Machine Fault Diagnosis (2020)

Layered Formation-containment Control of Multi-agent Systems in Constrained Space (2020)

Large-Scale Empirical Studies on Effort-Aware Security Vulnerability Prediction Methods (2020)

Image Hashing via Linear Discriminant Learning (2020)