Publications - Machine Learning SG

Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point Based Approach. (2020)

Wei Zhang Ning Liu Yunfeng Zhang

reinforcement learning obstacle robot computer vision lidar +5 more

arXiv preprint arXiv:2010.10209 Published 2020-10-20
IPMGAN: Integrating Physical Model and Generative Adversarial Network for Underwater Image Enhancement (2020)

Xiaodong Liu Zhi Gao Ben M. Chen Ben M. Chen

image formation network planning and design underwater computer vision computer science +6 more

Neurocomputing Published 2020-10-20
Feature Inference Attack on Model Predictions in Vertical Federated Learning. (2020)

Xinjian Luo Yuncheng Wu Xiaokui Xiao Beng Chin Ooi

inference attack random forest decision tree artificial neural network machine learning +6 more

arXiv preprint arXiv:2010.10152 1 citations Published 2020-10-20
Evaluation of Multimodal Algorithms for the Segmentation of Multiparametric MRI Prostate Images. (2020)

Ying-Hwey Nai Bernice W. Teo Nadya L. Tan Koby Yi Wei Chua Chun Kit Wong Sophie O’Doherty Mary C. Stephenson Josh Schaefferkoetter Josh Schaefferkoetter Josh Schaefferkoetter Yee Liang Thian Edmund Chiong Anthonin Reilhac

segmentation multiparametric magnetic resonance imaging prostate deep learning prostate cancer +6 more

Computational and Mathematical Methods in Medicine Published 2020-10-20
Errors in predictive smooth pursuit across blinks are explained by temporal compression. (2020)

Arnab Biswas Li Yan Chloe Neo Gerrit W Maus

smooth pursuit compression pattern recognition computer science artificial intelligence

Journal of Vision Published 2020-10-20
Entraining Individual Alpha Oscillations Boosts Learning in Cluttered Visual Scenes (2020)

Elizabeth Michael Naomi Vaida Blanka Zicher Julia Heine Victoria Leong Victoria Leong Zoe Kourtzi

alpha computer vision oscillation computer science artificial intelligence

Journal of Vision Published 2020-10-20
Curvature of real and illusory contours across the blind spot and artificial gaps (2020)

Yulia Revina Man Ting Chay Nicklaus Koh Gerrit W. Maus

illusory contours blind spot curvature computer vision computer science +1 more

Journal of Vision Published 2020-10-20
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. (2020)

Hung Le Doyen Sahoo Nancy F. Chen Steven C.H. Hoi

sensory cue semantics natural language processing computer science exploit +4 more

arXiv preprint arXiv:2010.10095 Published 2020-10-20
Visualet: Visualizing Shapelets for Time Series Classification. (2020)

Guozhong Li Byron Choi Sourav S. Bhowmick Grace Lai-Hung Wong Kwok-Pan Chun Shiwen Li

computer science pattern recognition artificial intelligence time series classification

Proceedings of the 29th ACM International Conference on Information & Knowledge Management Published 2020-10-19
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. (2020)

Nicholas Lim Bryan Hooi See-Kiong Ng Xueou Wang Yong Liang Goh Renrong Weng Jagannadan Varadarajan

recurrent neural network social network machine learning computer science exploit +5 more

Proceedings of the 29th ACM International Conference on Information & Knowledge Management Published 2020-10-19
SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis. (2020)

Erik Cambria Yang Li Frank Z. Xing Soujanya Poria Kenneth Kwok

sentiment analysis natural language processing computer science artificial intelligence

Proceedings of the 29th ACM International Conference on Information & Knowledge Management 13 citations Published 2020-10-19
Practical Side-Channel Based Model Extraction Attack on Tree-Based Machine Learning Algorithm (2020)

Dirmanto Jap Ville Yli-Mäyry Akira Ito Rei Ueno Shivam Bhasin Naofumi Homma

decision tree side channel attack artificial neural network arm architecture computer science +7 more

International Conference on Applied Cryptography and Network Security Published 2020-10-19
Multimodal Research in Vision and Language: A Review of Current and Emerging Trends (2020)

Shagun Uppal Sarthak Bhagat Devamanyu Hazarika Navonil Majumdar Soujanya Poria Roger Zimmermann Amir Zadeh

modalities intelligent decision support system perception data science deep learning +4 more

arXiv: Computer Vision and Pattern Recognition Published 2020-10-19
Multi-task gradient descent for multi-task learning (2020)

Lu Bai Yew-Soon Ong Tiantian He Abhishek Gupta

multi task learning gradient descent negative transfer knowledge transfer artificial intelligence +4 more

Memetic Computing Published 2020-10-19
Learning Effective Representations for Person-Job Fit by Feature Fusion. (2020)

Junshu Jiang Songyun Ye Wei Wang Jingran Xu Xiaosheng Luo

computer science machine learning artificial intelligence feature fusion

Proceedings of the 29th ACM International Conference on Information & Knowledge Management Published 2020-10-19
Interaction-aware Kalman Neural Networks for Trajectory Prediction (2020)

Ce Ju Zheng Wang Cheng Long Xiaoyu Zhang Gao Cong Dong Eui Chang

artificial neural network kalman filter trajectory artificial intelligence computer science

2020 IEEE Intelligent Vehicles Symposium (IV) Published 2020-10-19
Hydrologically Informed Machine Learning for Rainfall-Runoff Modelling: Towards Distributed Modelling (2020)

Herath Mudiyanselage Viraj Vidura Herath Jayashree Chadalawada Vladan Babovic

model building model selection genetic programming interpretability machine learning +5 more

Hydrology and Earth System Sciences Discussions 1 citations Published 2020-10-19
How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers. (2020)

Yuanhao Xiong Xuanqing Liu Li-Cheng Lan Yang You Si Si Cho-Jui Hsieh

hyperparameter artificial neural network reinforcement learning benchmarking random search +6 more

arXiv preprint arXiv:2010.09889 Published 2020-10-19
Feature Engineering for Grid-based Multi-Floor Indoor Localisation using Machine Learning (2020)

Senglidet Yean Bu-Sung Lee Hong Lye Oh

feature engineering random forest feature extraction hyperparameter grid +6 more

2020 International Conference on Intelligent Data Science Technologies and Applications (IDSTA) Published 2020-10-19
Towards Dependable Object Detection (2020)

Nithish Muthuchamy Selvaraj Ilyas Muhammad Chien Chern Cheah

object detection visual servoing mobile robot focal length detector +6 more

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society Published 2020-10-18

Previous Next

Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point Based Approach. (2020)

IPMGAN: Integrating Physical Model and Generative Adversarial Network for Underwater Image Enhancement (2020)

Feature Inference Attack on Model Predictions in Vertical Federated Learning. (2020)

Evaluation of Multimodal Algorithms for the Segmentation of Multiparametric MRI Prostate Images. (2020)

Errors in predictive smooth pursuit across blinks are explained by temporal compression. (2020)

Entraining Individual Alpha Oscillations Boosts Learning in Cluttered Visual Scenes (2020)

Curvature of real and illusory contours across the blind spot and artificial gaps (2020)

BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. (2020)

Visualet: Visualizing Shapelets for Time Series Classification. (2020)

STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. (2020)

SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis. (2020)

Practical Side-Channel Based Model Extraction Attack on Tree-Based Machine Learning Algorithm (2020)

Multimodal Research in Vision and Language: A Review of Current and Emerging Trends (2020)

Multi-task gradient descent for multi-task learning (2020)

Learning Effective Representations for Person-Job Fit by Feature Fusion. (2020)

Interaction-aware Kalman Neural Networks for Trajectory Prediction (2020)

Hydrologically Informed Machine Learning for Rainfall-Runoff Modelling: Towards Distributed Modelling (2020)

How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers. (2020)

Feature Engineering for Grid-based Multi-Floor Indoor Localisation using Machine Learning (2020)

Towards Dependable Object Detection (2020)