Publications - Machine Learning SG

How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes] (2020)

Shad Akhtar Asif Ekbal Erik Cambria

sentiment analysis deep learning perceptron convolutional neural network support vector machine +6 more

IEEE Computational Intelligence Magazine 21 citations Published 2020-01-10
Semantic Segmentation With Context Encoding and Multi-Path Decoding (2020)

Henghui Ding Xudong Jiang Bing Shuai Ai Qun Liu Gang Wang

segmentation cognitive neuroscience of visual object recognition convolutional neural network encoding deep learning +6 more

IEEE Transactions on Image Processing 13 citations Published 2020-01-09
Fraud detection via behavioral sequence embedding (2020)

Guannan Liu Jia Guo Yuan Zuo Junjie Wu Ren-yong Guo

behavioral pattern interaction network haystack feature vector embedding +5 more

Knowledge and Information Systems Published 2020-01-09
Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders (2020)

Sarthak Bhagat Shagun Uppal Zhuyun Yin Nengli Lim

autoencoder gaussian process unsupervised learning geodesic curvature +6 more

arXiv preprint arXiv:2001.02408 Published 2020-01-08
IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules (2020)

Bishwamittra Ghosh Kuldeep S. Meel

interpretability conjunctive normal form heuristic maximum satisfiability problem machine learning +6 more

arXiv preprint arXiv:2001.01891 Published 2020-01-07
Digital Confucius? Exploring the implications of artificial intelligence in spiritual education (2020)

Charlene Tan

sociology artificial intelligence

Connection Science Published 2020-01-07
Review on Line-Scan Camera Calibration Methods (2020)

Wang Guohui Qian Kemao

camera resectioning calibration computer vision computer science artificial intelligence +2 more

Acta Optica Sinica Published 2020-01-06
Probabilistic Models of Larval Zebrafish Behavior Reveal Structure on Many Scales (2020)

Robert Evan Johnson Scott Linderman Thomas Panier Thomas Panier Caroline Lei Wee Caroline Lei Wee Erin Song Kristian Joseph Herrera Andrew Miller Florian Engert

action selection zebrafish probabilistic logic biological neural network machine learning +6 more

Current Biology 20 citations Published 2020-01-06
Machine Learning Treasury Yields (2020)

Zura Kakushadze Willie Yu

cluster analysis non negative matrix factorization k means clustering treasury document classification +6 more

Bulletin of Applied Economics Published 2020-01-06
Continuous-time model identification: application on a behavioural (miLife) study (2020)

Korkut Bekiroglu Michael A. Russell Constantino Lagoa Rong Su Mario Sznaier Stephanie T. Lanza Candice L. Odgers

machine learning computer science artificial intelligence time model

International Journal of Control 1 citations Published 2020-01-06
Breast Cancer Image Classification via Multi-Network Features and Dual-Network Orthogonal Low-Rank Learning (2020)

Yongjun Wang Baiying Lei Ahmed Elazab Ee-Leng Tan Wei Wang Fanglin Huang Xuehao Gong Tianfu Wang

feature extraction boosting contextual image classification deep learning feature selection +6 more

IEEE Access 3 citations Published 2020-01-06
General Partial Label Learning via Dual Bipartite Graph Autoencoder. (2020)

Brian Chen Bo Wu Alireza Zareian Hanwang Zhang Shih-Fu Chang

autoencoder bipartite graph transduction pattern recognition ambiguity +6 more

arXiv preprint arXiv:2001.01290 1 citations Published 2020-01-05
EcoNAS: Finding Proxies for Economical Neural Architecture Search (2020)

Dongzhan Zhou Xinchi Zhou Wenwei Zhang Chen Change Loy Shuai Yi Xuesen Zhang Wanli Ouyang

machine learning computer science proxy architecture computation +1 more

arXiv preprint arXiv:2001.01233 1 citations Published 2020-01-05
Unsupervised feature learning with sparse Bayesian auto-encoding based extreme learning machine (2020)

Guanghao Zhang Dongshun Cui Shangbo Mao Guang-Bin Huang

feature learning extreme learning machine bayesian inference computational intelligence bayesian probability +6 more

International Journal of Machine Learning and Cybernetics 1 citations Published 2020-01-03
Low-Energy Voice Activity Detection via Energy-Quality Scaling From Data Conversion to Machine Learning (2020)

Jinq Horng Teo Shuai Cheng Massimo Alioto

voice activity detection overfitting decision tree signal chain data conversion +6 more

IEEE Transactions on Circuits and Systems I-regular Papers Published 2020-01-03
Gait identification using a new time-warped similarity metric based on smartphone inertial signals (2020)

Sougata Deb Youheng Ou Yang Matthew Chin Heng Chua Jing Tian

computational intelligence word error rate template matching ubiquitous computing computer vision +6 more

Journal of Ambient Intelligence and Humanized Computing 3 citations Published 2020-01-02
Direction Concentration Learning: Enhancing Congruency in Machine Learning. (2020)

Yan Luo Yongkang Wong Mohan S. Kankanhalli Qi Zhao

salience forgetting semantics machine learning artificial intelligence +5 more

IEEE Transactions on Pattern Analysis and Machine Intelligence 4 citations Published 2020-01-02
Detecting Spatiotemporal Irregularities in Videos via a 3D Convolutional Autoencoder (2020)

Mengjia Yan Jingjing Meng Chunluan Zhou Zhigang Tu Yap-Peng Tan Junsong Yuan

autoencoder pattern recognition generalizability theory computer science artificial intelligence +1 more

Journal of Visual Communication and Image Representation 1 citations Published 2020-01-02
Design of a 360-deg panoramic capture system based on a smart phone (2020)

Weitao Song Xumin Liu Qijia Cheng Yetao Huang Yuanjin Zheng Yue Liu Yongtian Wang

afocal photography panoramic photography exit pupil lens image quality +6 more

Optical Engineering Published 2020-01-02
BIVAS: A Scalable Bayesian Method for Bi-Level Variable Selection With Applications (2020)

Mingxuan Cai Mingwei Dai Jingsi Ming Heng Peng Jin Liu Can Yang

feature selection bayesian probability machine learning scalability computer science +3 more

Journal of Computational and Graphical Statistics 1 citations Published 2020-01-02

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How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes] (2020)

Semantic Segmentation With Context Encoding and Multi-Path Decoding (2020)

Fraud detection via behavioral sequence embedding (2020)

Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders (2020)

IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules (2020)

Digital Confucius? Exploring the implications of artificial intelligence in spiritual education (2020)

Review on Line-Scan Camera Calibration Methods (2020)

Probabilistic Models of Larval Zebrafish Behavior Reveal Structure on Many Scales (2020)

Machine Learning Treasury Yields (2020)

Continuous-time model identification: application on a behavioural (miLife) study (2020)

Breast Cancer Image Classification via Multi-Network Features and Dual-Network Orthogonal Low-Rank Learning (2020)

General Partial Label Learning via Dual Bipartite Graph Autoencoder. (2020)

EcoNAS: Finding Proxies for Economical Neural Architecture Search (2020)

Unsupervised feature learning with sparse Bayesian auto-encoding based extreme learning machine (2020)

Low-Energy Voice Activity Detection via Energy-Quality Scaling From Data Conversion to Machine Learning (2020)

Gait identification using a new time-warped similarity metric based on smartphone inertial signals (2020)

Direction Concentration Learning: Enhancing Congruency in Machine Learning. (2020)

Detecting Spatiotemporal Irregularities in Videos via a 3D Convolutional Autoencoder (2020)

Design of a 360-deg panoramic capture system based on a smart phone (2020)

BIVAS: A Scalable Bayesian Method for Bi-Level Variable Selection With Applications (2020)