Publications - Machine Learning SG

Early Prediction of Vital Signs Using Generative Boosting via LSTM Networks (2019)

Shiyu Liu Jia Yao Mehul Motani

generative model boosting vital signs mean absolute percentage error cluster analysis +6 more

2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 1 citations Published 2019-11-01
Domain Adversarial Training for Speech Enhancement (2019)

Nana Hou Chenglin Xu Eng Siong Chng Haizhou Li

speech enhancement unsupervised learning supervised learning deep learning feature extraction +6 more

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 1 citations Published 2019-11-01
Discriminative Regularized Deep Generative Models for Semi-Supervised Learning (2019)

Qianqian Xie Jimin Huang Min Peng Yihan Zhang Kaifei Peng Hua Wang

semi supervised learning discriminative model overfitting classifier conditional probability +6 more

2019 IEEE International Conference on Data Mining (ICDM) Published 2019-11-01
Develop machine learning-based regression predictive models for engineering protein solubility. (2019)

Xi Han Xiaonan Wang Kang Zhou

solubility protein engineering peptide sequence design of experiments workflow +6 more

Bioinformatics 10 citations Published 2019-11-01
Detecting IRC-based Botnets by Network Traffic Analysis Through Machine Learning (2019)

Xue Jun Li Maode Ma Yi Lin Yen

botnet internet relay chat denial of service attack traffic analysis hypertext transfer protocol +6 more

2019 29th International Telecommunication Networks and Applications Conference (ITNAC) Published 2019-11-01
Denoising with weak signal preservation by group-sparsity transform learning (2019)

Xiaojing Wang Bihan Wen Jianwei Ma

noise reduction pattern recognition computer science artificial intelligence weak signal

Geophysics 2 citations Published 2019-11-01
DeepMutation++: A Mutation Testing Framework for Deep Learning Systems (2019)

Qiang Hu Lei Ma Xiaofei Xie Bing Yu Yang Liu Jianjun Zhao

deep learning recurrent neural network artificial neural network robustness image processing +6 more

2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE) 3 citations Published 2019-11-01
Deep Network Optimization for rs-fMRI Classification (2019)

Abhay M S Aradhya Andri Ashfahani

deep learning convolutional neural network image restoration classifier pattern recognition +5 more

2019 International Conference on Data Mining Workshops (ICDMW) 1 citations Published 2019-11-01
Deep learning-assisted adaptive modulation level assignment for video communication over an elastic optical network (2019)

Hamed Alizadeh Ghazijahani Hamed Alizadeh Ghazijahani Hadi Seyedarabi Javad Musevi Niya Ngai-Man Cheung

video quality spectral efficiency link adaptation modulation deep learning +6 more

Optical Fiber Technology 1 citations Published 2019-11-01
Deep learning for haptic feedback of flexible endoscopic robot without prior knowledge on sheath configuration (2019)

Xiaoguo Li Anthony Meng Huat Tiong Lin Cao Wenjie Lai Phuoc Thien Phan Soo Jay Phee

haptic technology robot deep learning convolutional neural network bending +6 more

International Journal of Mechanical Sciences 3 citations Published 2019-11-01
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank (2019)

Meishan Zhang Yue Zhang Guohong Fu

treebank dependency grammar parsing syntax natural language processing +4 more

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) 10 citations Published 2019-11-01
Coverage-Guided Fuzzing for Feedforward Neural Networks (2019)

Xiaofei Xie Hongxu Chen Yi Li Lei Ma Yang Liu Jianjun Zhao

fuzz testing feedforward neural network code coverage artificial neural network heuristics +4 more

2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE) 3 citations Published 2019-11-01
CNN-based gender classification in near-infrared periocular images (2019)

Anirudh Manyala Hisham Cholakkal Vijay Anand Vivek Kanhangad Deepu Rajan

periocular region local binary patterns convolutional neural network support vector machine histogram +5 more

Pattern Analysis and Applications 5 citations Published 2019-11-01
Center-surround velocity-based segmentation: Speed, eccentricity, and timing of visual stimuli interact to determine interocular dominance (2019)

Egor Ananyev Zixin Yong Po-Jang Hsieh

stimulus eccentricity masking visual perception segmentation +5 more

Journal of Vision Published 2019-11-01
Carpie: A soft, mechanically-reconfigurable worm robot (2019)

Pouya Ahmadian Rainier F. Natividad Chen-Hua Yeow

robot robotics pneumatic actuator control reconfiguration kinematics +6 more

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Published 2019-11-01
Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling (2019)

Jinfeng Rao Linqing Liu Yi Tay Wei Yang Peng Shi Jimmy Lin

semantic matching semantic similarity question answering natural language processing weighting +6 more

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) 22 citations Published 2019-11-01
Autonomous Deep Learning: Incremental Learning of Deep Neural Networks for Evolving Data Streams (2019)

Andri Ashfahani

deep learning data stream mining data stream machine learning computational complexity theory +6 more

2019 International Conference on Data Mining Workshops (ICDMW) 1 citations Published 2019-11-01
Assessing the Generalizability of Code2vec Token Embeddings (2019)

Hong Jin Kang Tegawende F. Bissyande David Lo

source code word embedding sentiment analysis generalizability theory security token +6 more

2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE) 13 citations Published 2019-11-01
Anomalous Rule Detection using Machine Learning in Software Defined Networks (2019)

Vignesh Sridharan Mohan Gurusamy Alberto Leon-Garcia

network packet controller software defined networking dbscan broadcasting +6 more

2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Published 2019-11-01
An image-text consistency driven multimodal sentiment analysis approach for social media (2019)

Ziyuan Zhao Huiying Zhu Zehao Xue Zhao Liu Jing Tian Matthew Chin Heng Chua Maofu Liu

sentiment analysis social media natural language processing exploit computer science +1 more

Information Processing and Management 12 citations Published 2019-11-01

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Early Prediction of Vital Signs Using Generative Boosting via LSTM Networks (2019)

Domain Adversarial Training for Speech Enhancement (2019)

Discriminative Regularized Deep Generative Models for Semi-Supervised Learning (2019)

Develop machine learning-based regression predictive models for engineering protein solubility. (2019)

Detecting IRC-based Botnets by Network Traffic Analysis Through Machine Learning (2019)

Denoising with weak signal preservation by group-sparsity transform learning (2019)

DeepMutation++: A Mutation Testing Framework for Deep Learning Systems (2019)

Deep Network Optimization for rs-fMRI Classification (2019)

Deep learning-assisted adaptive modulation level assignment for video communication over an elastic optical network (2019)

Deep learning for haptic feedback of flexible endoscopic robot without prior knowledge on sheath configuration (2019)

Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank (2019)

Coverage-Guided Fuzzing for Feedforward Neural Networks (2019)

CNN-based gender classification in near-infrared periocular images (2019)

Center-surround velocity-based segmentation: Speed, eccentricity, and timing of visual stimuli interact to determine interocular dominance (2019)

Carpie: A soft, mechanically-reconfigurable worm robot (2019)

Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling (2019)

Autonomous Deep Learning: Incremental Learning of Deep Neural Networks for Evolving Data Streams (2019)

Assessing the Generalizability of Code2vec Token Embeddings (2019)

Anomalous Rule Detection using Machine Learning in Software Defined Networks (2019)

An image-text consistency driven multimodal sentiment analysis approach for social media (2019)