Publications - Machine Learning SG

Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles. (2020)

Andrea Piazzoni Jim Cherian Martin Slavik Justin Dauwels

robust decision making perception machine learning computer science artificial intelligence

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence Published 2020-07-01
Modeling Code-Switch Languages Using Bilingual Parallel Corpus (2020)

Grandee Lee Haizhou Li

perplexity language model natural language processing normalization computer science +5 more

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics 4 citations Published 2020-07-01
Minimizing Hybrid Dice Loss for Highly Imbalanced 3D Neuroimage Segmentation (2020)

Yuhao Lu Juan Helen Zhou Cuntai Guan

image segmentation segmentation dice cross entropy deep learning +6 more

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Published 2020-07-01
Metaheuristic Spatial Transformation (MST) for accurate detection of Attention Deficit Hyperactivity Disorder (ADHD) using rs-fMRI (2020)

Abhay M S Aradhya Suresh Sundaram Mahardhika Pratama

cross validation classifier metaheuristic pattern recognition genetic algorithm +6 more

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Published 2020-07-01
Learning Semisupervised Multilabel Fully Convolutional Network for Hierarchical Object Parsing (2020)

Xiaobai Liu Qian Xu Grayson Adkins Eric Medwedeff Liang Lin Shuicheng Yan

image segmentation softmax function parsing artificial neural network pixel +6 more

IEEE Transactions on Neural Networks 1 citations Published 2020-07-01
Introduction to the Special Issue on Federated Machine Learning (2020)

Yang Liu Han Yu Qiang Yang

collaborative learning edge computing information privacy metasearch engine computer science +4 more

The Missouri Review 1 citations Published 2020-07-01
Improving multimodal named entity recognition via entity span detection with unified multimodal transformer (2020)

Jianfei Yu Jing Jiang Li Yang Rui Xia

multimodal interaction named entity recognition natural language processing computer science social media +2 more

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics 1 citations Published 2020-07-01
Improving Event Detection via Open-domain Trigger Knowledge (2020)

Meihan Tong Bin Xu Shuai Wang Yixin Cao Lei Hou Juanzi Li Jun Xie

overfitting source code machine learning structuring computer science +3 more

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics 1 citations Published 2020-07-01
Graph-to-Tree Learning for Solving Math Word Problems. (2020)

Jipeng Zhang Lei Wang Roy Ka-Wei Lee Yi Bin Yan Wang Jie Shao Ee-Peng Lim

word problem expression deep learning encoder theoretical computer science +4 more

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics 3 citations Published 2020-07-01
Goal scoring, coherent loss and applications to machine learning (2020)

Wenzhuo Yang Wenzhuo Yang Melvyn Sim Huan Xu

decision problem binary classification optimization problem support vector machine robustness +6 more

Mathematical Programming Published 2020-07-01
Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning (2020)

Jie Li Lanjia Pan Manu Suvarna Yen Wah Tong Xiaonan Wang

fossil fuel hydrothermal carbonization renewable energy performance improvement raw material +6 more

Applied Energy 4 citations Published 2020-07-01
Federated Transfer Learning for EEG Signal Classification (2020)

Ce Ju Dashan Gao Ravikiran Mane Ben Tan Yang Liu Cuntai Guan

discriminative model deep learning transfer of learning machine learning brain computer interface +6 more

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2 citations Published 2020-07-01
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading (2020)

Yifan Gao Chien-Sheng Wu Shafiq R. Joty Caiming Xiong Richard Socher Irwin King Michael R. Lyu Steven C. H. Hoi

conversation knowledge base natural language processing explicit memory computer science +5 more

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics Published 2020-07-01
Emotion Recognition with Refined Labels for Deep Learning (2020)

Su Zhang Cuntai Guan

emotion classification feature extraction deep learning thresholding speech recognition +6 more

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Published 2020-07-01
Efficient Deep Learning-based Wound-bed Segmentation For Mobile Applications (2020)

Ee Ping Ong Christina Tang Ka Yin Beng-Hai Lee

image segmentation segmentation deep learning convolutional neural network file size +6 more

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Published 2020-07-01
Efficient Aerodynamic Shape Optimization with Deep-Learning-Based Geometric Filtering (2020)

Jichao Li Mengqi Zhang Joaquim R. R. A. Martins Chang Shu

curse of dimensionality deep learning filter algorithm computer science +2 more

AIAA Journal 4 citations Published 2020-07-01
Differentiable Window for Dynamic Local Attention (2020)

Thanh-Tung Nguyen Xuan-Phi Nguyen Shafiq R. Joty Xiaoli Li

transformer differentiable function machine translation sentiment analysis language model +6 more

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics 1 citations Published 2020-07-01
Deep Reinforcement Learning for Motion Planning of Quadrotors Using Raw Depth Images (2020)

Efe Camci Domenico Campolo Erdal Kayacan

motion planning reinforcement learning computer vision computer science rough path +5 more

2020 International Joint Conference on Neural Networks (IJCNN) Published 2020-07-01
Deep Learning-Based Estimation of Non-Specific Uptake in Amyloid-PET Images from Structural MRI for Improved Quantification of Amyloid Load in Alzheimer's Disease (2020)

Haohui Liu Ying-Hwey Nai Christopher Chen Anthonin Reilhac

positron emission tomography amyloid white matter grey matter biomedical engineering +6 more

2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS) 1 citations Published 2020-07-01
Deep learning with long short-term memory networks for classification of dementia related travel patterns (2020)

Nhu Khue Vuong Yong Liu Syin Chan Chiew Tong Lau Zhenghua Chen Min Wu Xiaoli Li

deep learning mobile device dementia machine learning computer science +3 more

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Published 2020-07-01

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Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles. (2020)

Modeling Code-Switch Languages Using Bilingual Parallel Corpus (2020)

Minimizing Hybrid Dice Loss for Highly Imbalanced 3D Neuroimage Segmentation (2020)

Metaheuristic Spatial Transformation (MST) for accurate detection of Attention Deficit Hyperactivity Disorder (ADHD) using rs-fMRI (2020)

Learning Semisupervised Multilabel Fully Convolutional Network for Hierarchical Object Parsing (2020)

Introduction to the Special Issue on Federated Machine Learning (2020)

Improving multimodal named entity recognition via entity span detection with unified multimodal transformer (2020)

Improving Event Detection via Open-domain Trigger Knowledge (2020)

Graph-to-Tree Learning for Solving Math Word Problems. (2020)

Goal scoring, coherent loss and applications to machine learning (2020)

Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning (2020)

Federated Transfer Learning for EEG Signal Classification (2020)

Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading (2020)

Emotion Recognition with Refined Labels for Deep Learning (2020)

Efficient Deep Learning-based Wound-bed Segmentation For Mobile Applications (2020)

Efficient Aerodynamic Shape Optimization with Deep-Learning-Based Geometric Filtering (2020)

Differentiable Window for Dynamic Local Attention (2020)

Deep Reinforcement Learning for Motion Planning of Quadrotors Using Raw Depth Images (2020)

Deep Learning-Based Estimation of Non-Specific Uptake in Amyloid-PET Images from Structural MRI for Improved Quantification of Amyloid Load in Alzheimer's Disease (2020)

Deep learning with long short-term memory networks for classification of dementia related travel patterns (2020)