Publications - Machine Learning SG

Evolution and Current Applications of Robot-Assisted Fracture Reduction: A Comprehensive Review. (2020)

Jing-Xin Zhao Changsheng Li Hongliang Ren Ming Hao Li-Cheng Zhang Pei-Fu Tang

robotics robot parallel manipulator robotic arm navigation system +6 more

Annals of Biomedical Engineering 9 citations Published 2020-01-01
Entropy Learning for Dynamic Treatment Regimes. (2020)

Binyan Jiang Rui Song Jialiang Li Donglin Zeng

dynamic treatment regime inference entropy machine learning bootstrapping +4 more

Statistica Sinica 5 citations Published 2020-01-01
Entity-Sensitive Attention and Fusion Network for Entity-Level Multimodal Sentiment Classification (2020)

Jianfei Yu Jing Jiang Rui Xia

sentiment analysis context model visualization task analysis natural language processing +6 more

IEEE Transactions on Audio, Speech, and Language Processing 4 citations Published 2020-01-01
EndoGoose: a flexible and steerable endoscopic forceps with actively pose-retaining bendable sections (2020)

Liting Pang Ngu Tzce Chuing Joyce Yeo Ling Li Joe Tan Wei Wen Dinesh Manivannan Manivannan Sivaperuman Kalairaj Hongliang Ren

forceps endoscope active steering computer vision computer science +5 more

Published 2020-01-01
Emerging trends in IoT and big data analytics for biomedical and health care technologies (2020)

Amit Banerjee Chinmay Chakraborty Anand Kumar Debabrata Biswas

big data health care telemedicine wearable technology the internet +6 more

13 citations Published 2020-01-01
Efficient Sparse to Dense Stereo Matching Technique. (2020)

Piyush Bhandari Meiqing Wu Nazia Aslam Siew-Kei Lam Maheshkumar Kolekar

3d reconstruction computational complexity theory interpolation computation computer vision +5 more

CVIP (1) Published 2020-01-01
Efficient Novelty Search Through Deep Reinforcement Learning (2020)

Longxiang Shi Shijian Li Qian Zheng Min Yao Gang Pan

novelty reinforcement learning genetic algorithm deep learning evolutionary computation +3 more

IEEE Access Published 2020-01-01
Efficient Moth-Flame-Based Neuroevolution Models (2020)

Ali Asghar Heidari Yingyu Yin Majdi Mafarja Seyed Mohammad Jafar Jalali Jin Song Dong Seyedali Mirjalili

neuroevolution population metaheuristic swarm behaviour differential evolution +5 more

1 citations Published 2020-01-01
Efficient Hybrid Nature-Inspired Binary Optimizers for Feature Selection (2020)

Majdi M. Mafarja Asma Qasem Ali Asghar Heidari Ali Asghar Heidari Ibrahim Aljarah Hossam Faris Seyedali Mirjalili

dimensionality reduction feature selection metaheuristic curse of dimensionality local optimum +6 more

Cognitive Computation 23 citations Published 2020-01-01
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization (2020)

Sreejith Balakrishnan Quoc Phong Nguyen Bryan Kian Hsiang Low Harold Soh

bayesian optimization artificial intelligence computer science inverse reinforcement learning

Advances in Neural Information Processing Systems Published 2020-01-01
Efficient and Fair Data Valuation for Horizontal Federated Learning (2020)

Shuyue Wei Yongxin Tong Zimu Zhou Tianshu Song

big data shapley value information privacy valuation data set +6 more

Federated Learning Published 2020-01-01
Driver Lane-Change Intention Inference (2020)

Yang Xing Chen Lv Dongpu Cao

inference intelligent control recurrent neural network machine vision machine learning +6 more

Published 2020-01-01
Driver Behavior Recognition in Driver Intention Inference Systems (2020)

Yang Xing Chen Lv Dongpu Cao

distraction mobile phone feedforward neural network random forest inference +6 more

Published 2020-01-01
DoA Estimation for Lens Antenna Array via Root-MUSIC, Outlier Detection, and Clustering (2020)

Zhengwei Ni Yinan Luo Mehul Motani Chuanhuang Li

cluster analysis anomaly detection lens pattern recognition small number +6 more

IEEE Access Published 2020-01-01
DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation (2020)

Yu Zhang Yahui Long Rui Yin Chee Keong Kwoh

cross validation crispr cas9 data modeling deep learning +6 more

IEEE Access Published 2020-01-01
Development of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation (2020)

Jin Jing Jin Jing Haoqi Sun Jennifer A Kim Aline Herlopian Ioannis Karakis Marcus Ng Jonathan J Halford Douglas Maus Fonda Chan Marjan Dolatshahi Carlos Muniz Catherine Chu Valeria Sacca Jay Pathmanathan Wendong Ge Justin Dauwels Alice Lam Andrew J Cole Sydney S Cash M Brandon Westover

receiver operating characteristic electroencephalography binary classification ictal artificial neural network +6 more

JAMA Neurology 13 citations Published 2020-01-01
Design of Integrated Road Perception and Lane Detection System for Driver Intention Inference (2020)

Yang Xing Chen Lv Dongpu Cao

advanced driver assistance systems sensor fusion inference computer vision computer science +6 more

Published 2020-01-01
Denoising Raman spectra by Wiener estimation with a numerical calibration dataset. (2020)

Yanru Bai Quan Liu

wavelet imaging phantom filter calibration noise reduction +6 more

Biomedical Optics Express Published 2020-01-01
DeepAttent: Saliency Prediction with Deep Multi-scale Residual Network (2020)

Kshitij Dwivedi Nitin Singh Sabari R. Shanmugham Manoj Kumar

artificial neural network salience residual pattern recognition fixation +5 more

CVIP (2) Published 2020-01-01
Deep Learning Solutions for Skin Cancer Detection and Diagnosis (2020)

Hardik Nahata Satya P. Singh

skin cancer cancer deep learning convolutional neural network basal cell carcinoma +6 more

4 citations Published 2020-01-01

Previous Next

Evolution and Current Applications of Robot-Assisted Fracture Reduction: A Comprehensive Review. (2020)

Entropy Learning for Dynamic Treatment Regimes. (2020)

Entity-Sensitive Attention and Fusion Network for Entity-Level Multimodal Sentiment Classification (2020)

EndoGoose: a flexible and steerable endoscopic forceps with actively pose-retaining bendable sections (2020)

Emerging trends in IoT and big data analytics for biomedical and health care technologies (2020)

Efficient Sparse to Dense Stereo Matching Technique. (2020)

Efficient Novelty Search Through Deep Reinforcement Learning (2020)

Efficient Moth-Flame-Based Neuroevolution Models (2020)

Efficient Hybrid Nature-Inspired Binary Optimizers for Feature Selection (2020)

Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization (2020)

Efficient and Fair Data Valuation for Horizontal Federated Learning (2020)

Driver Lane-Change Intention Inference (2020)

Driver Behavior Recognition in Driver Intention Inference Systems (2020)

DoA Estimation for Lens Antenna Array via Root-MUSIC, Outlier Detection, and Clustering (2020)

DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation (2020)

Development of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation (2020)

Design of Integrated Road Perception and Lane Detection System for Driver Intention Inference (2020)

Denoising Raman spectra by Wiener estimation with a numerical calibration dataset. (2020)

DeepAttent: Saliency Prediction with Deep Multi-scale Residual Network (2020)

Deep Learning Solutions for Skin Cancer Detection and Diagnosis (2020)