Publications - Machine Learning SG

More Embeddings, Better Sequence Labelers? (2020)

Xinyu Wang Yong Jiang Nguyen Bach Tao Wang Zhongqiang Huang Fei Huang Kewei Tu

sequence labeling embedding natural language processing concatenation computer science +1 more

Findings of the Association for Computational Linguistics: EMNLP 2020 Published 2020-11-01
Learning Numeral Embedding (2020)

Chengyue Jiang Zhonglin Nian Kaihao Guo Shanbo Chu Yinggong Zhao Libin Shen Kewei Tu

word embedding numeral system embedding sequence labeling deep learning +6 more

Findings of the Association for Computational Linguistics: EMNLP 2020 Published 2020-11-01
Landmark-based mixed-reality perceptual alignment of medical imaging data and accuracy validation in living subjects (2020)

Christoph Leuze Supriya Sathyanarayana Bruce L Daniel Jennifer A McNab

mixed reality augmented reality landmark perception computer vision +3 more

2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) Published 2020-11-01
Inducing Target-Specific Latent Structures for Aspect Sentiment Classification (2020)

Chenhua Chen Zhiyang Teng Yue Zhang

sentiment analysis dependency grammar syntax natural language processing computer science +2 more

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) Published 2020-11-01
Improving Probabilistic Load Forecasting Using Quantile Regression NN With Skip Connections (2020)

Wenjie Zhang Hao Quan Oktoviano Gandhi Ram Rajagopal Chin-Woo Tan Dipti Srinivasan

probabilistic forecasting probabilistic logic deep learning artificial neural network machine learning +6 more

IEEE Transactions on Smart Grid Published 2020-11-01
Improving Limited Labeled Dialogue State Tracking with Self-Supervision. (2020)

Chien-Sheng Wu Steven Chu-Hong Hoi Caiming Xiong

machine learning computer science utterance correlation artificial intelligence +2 more

Findings of the Association for Computational Linguistics: EMNLP 2020 Published 2020-11-01
HoAFM: A High-order Attentive Factorization Machine for CTR Prediction (2020)

Zhulin Tao Xiang Wang Xiangnan He Xianglin Huang Tat-Seng Chua

feature engineering feature learning deep learning overfitting domain knowledge +6 more

Information Processing and Management 4 citations Published 2020-11-01
Exposing Fake Bitrate Videos Using Hybrid Deep-Learning Network From Recompression Error (2020)

Peisong He Haoliang Li Bin Li Hongxia Wang Liang Liu

video quality video editing histogram feature extraction deep learning +6 more

IEEE Transactions on Circuits and Systems for Video Technology Published 2020-11-01
ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection. (2020)

Sujatha Das Gollapalli Polina Rozenshtein See-Kiong Ng

deep learning natural language processing random walk computer science artificial intelligence +4 more

Findings of the Association for Computational Linguistics: EMNLP 2020 Published 2020-11-01
Diving deeper into underwater image enhancement: A survey (2020)

Saeed Anwar Saeed Anwar Chongyi Li

underwater deep learning image formation robustness data mining +6 more

Signal Processing-image Communication 3 citations Published 2020-11-01
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading (2020)

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

dialog box conversation natural language processing test set logical consequence +6 more

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) 3 citations Published 2020-11-01
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness. (2020)

Lingjuan Lyu Xuanli He Yitong Li

differential privacy private information retrieval empirical research machine learning computer science +2 more

Findings of the Association for Computational Linguistics: EMNLP 2020 Published 2020-11-01
Diagnostic classification of autism using resting-state fMRI data improves with full correlation functional brain connectivity compared to partial correlation (2020)

Jac Fredo Agastinose Ronicko John Thomas Prasanth Thangavel Vineetha Koneru Georg Langs Justin Dauwels

resting state fmri partial correlation pearson product moment correlation coefficient functional magnetic resonance imaging random forest +6 more

Journal of Neuroscience Methods Published 2020-11-01
DeepRouting: A Deep Neural Network Approach for Ticket Routing in Expert Network (2020)

Jianglei Han Aixin Sun

deep learning ticket graph artificial neural network semantic matching +6 more

2020 IEEE International Conference on Services Computing (SCC) Published 2020-11-01
Deep Weighted MaxSAT for Aspect-based Opinion Extraction (2020)

Meixi Wu Wenya Wang Sinno Jialin Pan

feature learning deep learning rule of inference structured prediction graphical model +5 more

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) Published 2020-11-01
Deep learning network security (2020)

Si Wang Chip-Hong Chang

feature extraction deep learning artificial neural network network security raw data +6 more

Published 2020-11-01
Deep Learning for Human Activity Recognition (2020)

Phyo P. San Pravin Kakar Xiao-Li Li Shonali Krishnaswamy Jian-Bo Yang Minh N. Nguyen

feature engineering feature learning feature semi supervised learning feature +7 more

Neurocomputing 8 citations Published 2020-11-01
Deep Learning Based Detection for Mitigating Sneak Path Interference in Resistive Memory Arrays (2020)

Xingwei Zhong Kui Cai Guanghui Song Nagarajan Raghavan

resistive random access memory artificial neural network deep learning memory cell detection theory +6 more

2020 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) Published 2020-11-01
Data-driven low-frequency signal recovery using deep-learning predictions in full-waveform inversionLow-frequency prediction by CNN (2020)

Jinwei Fang Hui Zhou Yunyue Elita Li Qingchen Zhang Lingqian Wang Pengyuan Sun Jianlei Zhang

deep learning low frequency electronic engineering data driven computer science +3 more

Geophysics 2 citations Published 2020-11-01
Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks. (2020)

Chengyue Jiang Yinggong Zhao Shanbo Chu Libin Shen Kewei Tu

recurrent neural network artificial neural network interpretability regular expression machine learning +4 more

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) Published 2020-11-01

Previous Next

More Embeddings, Better Sequence Labelers? (2020)

Learning Numeral Embedding (2020)

Landmark-based mixed-reality perceptual alignment of medical imaging data and accuracy validation in living subjects (2020)

Inducing Target-Specific Latent Structures for Aspect Sentiment Classification (2020)

Improving Probabilistic Load Forecasting Using Quantile Regression NN With Skip Connections (2020)

Improving Limited Labeled Dialogue State Tracking with Self-Supervision. (2020)

HoAFM: A High-order Attentive Factorization Machine for CTR Prediction (2020)

Exposing Fake Bitrate Videos Using Hybrid Deep-Learning Network From Recompression Error (2020)

ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection. (2020)

Diving deeper into underwater image enhancement: A survey (2020)

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading (2020)

Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness. (2020)

Diagnostic classification of autism using resting-state fMRI data improves with full correlation functional brain connectivity compared to partial correlation (2020)

DeepRouting: A Deep Neural Network Approach for Ticket Routing in Expert Network (2020)

Deep Weighted MaxSAT for Aspect-based Opinion Extraction (2020)

Deep learning network security (2020)

Deep Learning for Human Activity Recognition (2020)

Deep Learning Based Detection for Mitigating Sneak Path Interference in Resistive Memory Arrays (2020)

Data-driven low-frequency signal recovery using deep-learning predictions in full-waveform inversionLow-frequency prediction by CNN (2020)

Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks. (2020)