Publications - Machine Learning SG

Screen Content Video Quality Assessment: Subjective and Objective Study (2020)

Shan Cheng Huanqiang Zeng Jing Chen Junhui Hou Jianqing Zhu Kai-Kuang Ma

video quality human visual system model pattern recognition distortion pooling +6 more

IEEE Transactions on Image Processing Published 2020-08-26
Performance Optimization for Federated Person Re-identification via Benchmark Analysis (2020)

Weiming Zhuang Yonggang Wen Xuesen Zhang Xin Gan Daiying Yin Dongzhan Zhou Shuai Zhang Shuai Yi

machine learning computer science convergence architecture study heterogeneity +6 more

arXiv preprint arXiv:2008.11560 Published 2020-08-26
Effective Action Recognition with Embedded Key Point Shifts. (2020)

Haozhi Cao Yuecong Xu Jianfei Yang Kezhi Mao Jianxiong Yin Simon See

feature extraction embedding pattern recognition computer science effective action +5 more

arXiv preprint arXiv:2008.11378 Published 2020-08-26
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge, and Skeleton (2020)

Jiang-Jiang Liu Qibin Hou Ming-Ming Cheng

task analysis feature extraction edge detection segmentation machine learning +6 more

IEEE Transactions on Image Processing 2 citations Published 2020-08-26
Towards Comprehensive Recommender Systems: Time-Aware UnifiedcRecommendations Based on Listwise Ranking of Implicit Cross-Network Data (2020)

Dilruk Perera Roger Zimmermann

movielens recommender system ranking deep learning novelty +6 more

arXiv preprint arXiv:2008.13516 Published 2020-08-25
Prediction of breakthrough pain during labour neuraxial analgesia: comparison of machine learning and multivariable regression approaches. (2020)

H.S. Tan N. Liu R. Sultana N-L.R. Han C.W. Tan J. Zhang A.T.H. Sia B.L. Sng B.L. Sng

positive predicative value retrospective cohort study logistic regression cohort predictive modelling +6 more

International Journal of Obstetric Anesthesia Published 2020-08-25
LSTM Networks for Online Cross-Network Recommendations (2020)

Dilruk Perera Roger Zimmermann

recommender system novelty machine learning computer science artificial intelligence +2 more

arXiv preprint arXiv:2008.10849 Published 2020-08-25
Exploring the use of Time-Dependent Cross-Network Information for Personalized Recommendations (2020)

Dilruk Perera Roger Zimmermann

novelty information retrieval machine learning computer science baseline +5 more

arXiv preprint arXiv:2008.10866 Published 2020-08-25
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets. (2020)

Marc-Andre Schulz B. T. Thomas Yeo Joshua T. Vogelstein Janaina Mourao-Miranada Jakob N. Kather Jakob N. Kather Konrad Kording Blake Richards Danilo Bzdok

mnist database deep learning linear model sample size determination kernel +6 more

Nature Communications 7 citations Published 2020-08-25
CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users (2020)

Dilruk Perera Roger Zimmermann

pairwise comparison novelty machine learning computer science drawback +6 more

arXiv preprint arXiv:2008.10845 Published 2020-08-25
nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks (2020)

Kin Wai Cheuk Hans Anderson Kat Agres Dorien Herremans

spectrogram audio signal processing convolutional neural network short time fourier transform cuda +6 more

IEEE Access 3 citations Published 2020-08-24
Diverse Feature Blend Based on Filter-Bank Common Spatial Pattern and Brain Functional Connectivity for Multiple Motor Imagery Detection (2020)

Hongtao Wang Tao Xu Cong Tang Hongwei Yue Chuangquan Chen Linfeng Xu Zian Pei Jiajun Dong Anastasios Bezerianos Junhua Li

motor imagery relevance vector machine feature extraction support vector machine brain computer interface +6 more

IEEE Access Published 2020-08-24
TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering (2020)

Xiaofeng Yang Guosheng Lin Fengmao Lv Fayao Liu

visual reasoning question answering pairwise comparison natural language processing computer science +4 more

European Conference on Computer Vision Published 2020-08-23
Rethinking pruning for accelerating deep inference at the edge (2020)

Dawei Gao Xiaoxi He Zimu Zhou Yongxin Tong Ke Xu Lothar Thiele

deep inference deep learning pruning computer science machine learning +1 more

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining Published 2020-08-23
Object Tracking Using Spatio-Temporal Networks for Future Prediction Location. (2020)

Yuan Liu Ruoteng Li Yu Cheng Robby T. Tan Xiubao Sui

video tracking trajectory computer vision inference salient +5 more

European Conference on Computer Vision Published 2020-08-23
NodeAug: Semi-Supervised Node Classification with Data Augmentation. (2020)

Yiwei Wang Wei Wang Yuxuan Liang Yujun Cai Juncheng Liu Bryan Hooi

computer science pattern recognition artificial intelligence

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 3 citations Published 2020-08-23
Nighttime Defogging Using High-Low Frequency Decomposition and Grayscale-Color Networks (2020)

Wending Yan Robby T. Tan Robby T. Tan Dengxin Dai

grayscale rgb color model visibility computer vision fuse +5 more

European Conference on Computer Vision 1 citations Published 2020-08-23
Metamaterials, deep learning, and optical super-resolution (Conference Presentation) (2020)

Nikolay I. Zheludev Nikolay I. Zheludev Tanchao Pu Guanghui Yuan Jun Yu Ou Vassili Savinov Nikitas Papasimakis

structured light metamaterial scattering diffraction singularity +6 more

Metamaterials, Metadevices, and Metasystems 2020 Published 2020-08-23
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation. (2020)

Tak-Wai Hui Chen Change Loy

optical flow initialization image warping inference decoding methods +6 more

European Conference on Computer Vision Published 2020-08-23
Learning transferrable parameters for long-tailed sequential user behavior modeling (2020)

Jianwen Yin Chenghao Liu Weiqing Wang Jianling Sun Steven C.H. Hoi

computer science machine learning artificial intelligence

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining Published 2020-08-23

Previous Next

Screen Content Video Quality Assessment: Subjective and Objective Study (2020)

Performance Optimization for Federated Person Re-identification via Benchmark Analysis (2020)

Effective Action Recognition with Embedded Key Point Shifts. (2020)

Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge, and Skeleton (2020)

Towards Comprehensive Recommender Systems: Time-Aware UnifiedcRecommendations Based on Listwise Ranking of Implicit Cross-Network Data (2020)

Prediction of breakthrough pain during labour neuraxial analgesia: comparison of machine learning and multivariable regression approaches. (2020)

LSTM Networks for Online Cross-Network Recommendations (2020)

Exploring the use of Time-Dependent Cross-Network Information for Personalized Recommendations (2020)

Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets. (2020)

CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users (2020)

nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks (2020)

Diverse Feature Blend Based on Filter-Bank Common Spatial Pattern and Brain Functional Connectivity for Multiple Motor Imagery Detection (2020)

TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering (2020)

Rethinking pruning for accelerating deep inference at the edge (2020)

Object Tracking Using Spatio-Temporal Networks for Future Prediction Location. (2020)

NodeAug: Semi-Supervised Node Classification with Data Augmentation. (2020)

Nighttime Defogging Using High-Low Frequency Decomposition and Grayscale-Color Networks (2020)

Metamaterials, deep learning, and optical super-resolution (Conference Presentation) (2020)

LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation. (2020)

Learning transferrable parameters for long-tailed sequential user behavior modeling (2020)