Publications - Machine Learning SG

Eugene: Towards Deep Intelligence as a Service (2019)

Shuochao Yao Kasthuri Jayarajah Archan Misra Tarek Abdelzaher Yifan Hao Yiran Zhao Ailing Piao Huajie Shao Dongxin Liu Shengzhong Liu Shaohan Hu Dulanga Weerakoon

edge computing server deep learning suite cooperative learning +6 more

2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS) 7 citations Published 2019-07-07
Assessing Heuristic Machine Learning Explanations with Model Counting (2019)

Nina Narodytska Aditya A. Shrotri Kuldeep S. Meel Alexey Ignatiev João Marques-Silva

propositional formula heuristic black box successor cardinal computer science +5 more

International Conference on Theory and Applications of Satisfiability Testing 2019 8 citations Published 2019-07-07
ET-GRU: using multi-layer gated recurrent units to identify electron transport proteins (2019)

Nguyen Quoc Khanh Le Edward Kien Yee Yapp Hui Yuan Yeh

protein function prediction transport protein recurrent neural network deep learning artificial neural network +6 more

BMC Bioinformatics 17 citations Published 2019-07-06
Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units (2019)

Lakmal Meegahapola Vengateswaran Subramaniam Lance M. Kaplan Archan Misra

mnist database artificial neural network pattern recognition computer science artificial intelligence +2 more

arXiv preprint arXiv:1907.02711 1 citations Published 2019-07-05
Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation (2019)

Farhan Akram Vivek Kumar Singh Hatem A. Rashwan Mohamed Abdel-Nasser Md. Mostafa Kamal Sarker Nidhi Pandey Domenec Puig

segmentation sharpening kernel computational complexity theory pattern recognition +6 more

arXiv preprint arXiv:1907.02742 1 citations Published 2019-07-05
A High Performance of Single Cell Imaging Detection with Deep Learning (2019)

S. B. Luo D. L. Kwong A. Q. Liu K. T. Nguyen X. D. Jiang J. F. Wu B. H. Wen Y. Zhang G. Chierchia H. Talbot T. Bourouina

deep learning real time computing computer science artificial intelligence cellular level +2 more

2019 IEEE 4th International Conference on Image, Vision and Computing (ICIVC) Published 2019-07-05
Multi-Instance Multi-Scale CNN for Medical Image Classification (2019)

Shaohua Li Yong Liu Xiuchao Sui Cheng Chen Gabriel Tjio Daniel Shu Wei Ting Rick Siow Mong Goh

contextual image classification deep learning pattern recognition pooling small number +3 more

arXiv: Computer Vision and Pattern Recognition Published 2019-07-04
Deep neural networks meet recommender systems (2019)

Shuai Zhang Lina Yao Aixin Sun Guibing Guo Xiwei Xu Liming Zhu

deep learning big data recommender system scalability software +6 more

Published 2019-07-04
Machine learning and behavioral economics for personalized choice architecture (2019)

Emir Hrnjic Nikodem Tomczak

behavioral economics choice architecture population nudge theory predictive power +6 more

arXiv preprint arXiv:1907.02100 Published 2019-07-03
Automatic detection approach for bioresorbable vascular scaffolds using a u-shaped convolutional neural network (2019)

Wen Zhou Fei Chen Yongshuo Zong Dadong Zhao Biao Jie Zhengdong Wang Chenxi Huang Eddie Yin Kwee Ng

convolutional neural network supervised learning upsampling medical imaging optical coherence tomography +6 more

IEEE Access 1 citations Published 2019-07-03
Multi-modal image cytometry approach - From dynamic to whole organ imaging. (2019)

Nazihah Husna Nicholas R.J. Gascoigne Hong Liang Tey Lai Guan Ng Lai Guan Ng Yingrou Tan Yingrou Tan

image cytometry light sheet fluorescence microscopy microscope confocal computer vision +6 more

Cellular Immunology 1 citations Published 2019-07-02
Fidelity: A Property of Deep Neural Networks to Measure the Trustworthiness of Prediction Results (2019)

Ziqi Yang

deep learning artificial neural network fidelity machine learning malware +6 more

Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security 1 citations Published 2019-07-02
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. (2019)

Jibin Wu Yansong Chua Malu Zhang Guoqi Li Haizhou Li Kay Chen Tan

spiking neural network learning rule artificial neural network neuromorphic engineering bio inspired computing +5 more

arXiv preprint arXiv:1907.01167 3 citations Published 2019-07-02
A Closer Look Tells More: A Facial Distortion Based Liveness Detection for Face Authentication (2019)

Yan Li Zilong Wang Yingjiu Li Robert Deng Binbin Chen Weizhi Meng Hui Li

liveness authentication mobile device distortion perspective distortion +3 more

Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security 2 citations Published 2019-07-02
Wide-Baseline Obstacle Mapping Using Monocular Camera for Unmanned Surface Vehicle (2019)

Jiaying Chen Han Wang

compass parallax global positioning system obstacle radar +6 more

2019 IEEE 15th International Conference on Control and Automation (ICCA) 1 citations Published 2019-07-01
Understanding Deep Convolutional Networks for Biomedical Imaging: A Practical Tutorial (2019)

Dianwen Huang Mengling Feng

deep learning generative model convolutional neural network feature extraction machine learning +6 more

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Published 2019-07-01
UAV-based Traffic Flow Estimation and Analysis (2019)

Ji Hong Zhi Gao Tiancan Mei Yifan Li Chunyang Zhao

traffic flow optical flow robust principal component analysis jitter computer vision +6 more

2019 IEEE 15th International Conference on Control and Automation (ICCA) Published 2019-07-01
Tree Communication Models for Sentiment Analysis. (2019)

Yuan Zhang Yue Zhang

sentiment analysis recurrent neural network convolutional neural network treebank phrase +6 more

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics 12 citations Published 2019-07-01
Towards Utilizing Deep Uncertainty In Traditional SLAM (2019)

Mahdi Abolfazli Esfahani Keyu Wu Shenghai Yuan Han Wang

motion estimation simultaneous localization and mapping deep learning robot computer vision +4 more

2019 IEEE 15th International Conference on Control and Automation (ICCA) Published 2019-07-01
Towards the interpretation of time-varying regularization parameters in streaming penalized regression models (2019)

Lenka Zboňáková Ricardo Pio Monti Wolfgang Karl Härdle Wolfgang Karl Härdle Wolfgang Karl Härdle

linear model regularization inference machine learning computer science +4 more

Pattern Recognition Letters Published 2019-07-01

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Eugene: Towards Deep Intelligence as a Service (2019)

Assessing Heuristic Machine Learning Explanations with Model Counting (2019)

ET-GRU: using multi-layer gated recurrent units to identify electron transport proteins (2019)

Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units (2019)

Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation (2019)

A High Performance of Single Cell Imaging Detection with Deep Learning (2019)

Multi-Instance Multi-Scale CNN for Medical Image Classification (2019)

Deep neural networks meet recommender systems (2019)

Machine learning and behavioral economics for personalized choice architecture (2019)

Automatic detection approach for bioresorbable vascular scaffolds using a u-shaped convolutional neural network (2019)

Multi-modal image cytometry approach - From dynamic to whole organ imaging. (2019)

Fidelity: A Property of Deep Neural Networks to Measure the Trustworthiness of Prediction Results (2019)

A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. (2019)

A Closer Look Tells More: A Facial Distortion Based Liveness Detection for Face Authentication (2019)

Wide-Baseline Obstacle Mapping Using Monocular Camera for Unmanned Surface Vehicle (2019)

Understanding Deep Convolutional Networks for Biomedical Imaging: A Practical Tutorial (2019)

UAV-based Traffic Flow Estimation and Analysis (2019)

Tree Communication Models for Sentiment Analysis. (2019)

Towards Utilizing Deep Uncertainty In Traditional SLAM (2019)

Towards the interpretation of time-varying regularization parameters in streaming penalized regression models (2019)