Data Analytics & Complex Systems (DACS)

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Publications

C-RT1.1

  • Thanh Tuan, Benjamin BIGOT, Eng Siong CHNG.
    Speech Enhancement Using Beamforming And Non Negative Matrix Factorization For Robust Speech Recognition In The Chime-3 Challenge”. In Proceedings of 2015 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2015) , Scottsdale, Arizona, USA, December 13-17, 2015
 
  • Vu THANH, Benjamin BIGOT and Eng Siong CHNG.
    Combining Deep Neural Networks and Non negative Matrix Factorization for Speech Enhancement and Automatic Speech Recognition. in 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016)
 
 

 
 

C-RT1.2

 
 
 
  • Ceyda Sanli, Anupam Mondal, and Erik Cambria,
    “Tracing Linguistic Relations in Winning and Losing Sides of Explicit Opposing Groups”, The 30th International FLAIRS Conference (The Florida Artificial Intelligence Research Society), on May 22-24, 2017, Marco Island, Florida, USA.
 
 
 

C-RT2.1

 
  • Patrick Chen Pei-Hung and Shen-Shyang Ho,
    "Is OVERFEAT Useful for Image-based Surface Defect Classification Task?", 23rd IEEE International Conference on Image Processing, Phoenix, Arizona, USA, September 25-28, 2016.
 
 
 

C-RT2.2

 
 

 

 
 

C-RT3.1
 

      • Bingshui Da, ingshui Da, Abhishek Gupta, Yew-S​oon Ong, Liang Feng, Puay-Siew Tan.
        The Boom of Gene-Culture Interaction for Effective Evolutionary Multitasking. Australasian Conference on Artificial Life and Computational Intelligence (ACALCI), 2-5 February 2016, Canberra, Australia

 

  • Wan-Yu Deng, Yew-Soon Ong, Qing-Hua Zheng.
    A Fast Reduced Kernel Extreme Learning Machine. Neural Networks. 201
 
    • A.T.​W. Min, R. Sagarna, A. Gupta, O.Y. Soo​n and C.K. Goh,
      Knowledge Transfer through Machine Learning in Aircraft Design", Computational Intelligence Magazine
 
    • A. Gup​ta, J. Mandziuk, Y-S Ong,
      "Evolutionary Multitasking in Bi-Level Optimization", Complex & Intelligent Systems, Vol. 1, pp. 83-95, Feb 2016.
 
        • Y.ZHAI, Y-S Ong, and I. W. Tsang,
          "Making Trillion Correlations Feasible in Feature Grouping and Selection", IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 23 Feb 2016.
 
        • A. Gupta, Y-S Ong, L. Feng, K. C. Tan,
          "Multi-Objective Multifactorial Optimization in evolutionary Multitasking", IEEE Transactions on Cybernetics, May 2016.
 
        • A. Gu​pta, Y-S Ong, P. A. Kelly, C. K. Goh,
          "Pareto Rank Learning for Multi-Objective Bi-Level Optimization: A Study in Composites Manufacturing", 2016 IEEE World Congress on Computational Intelligence, Vancouver, Canada, July 2016.
 
        • A. Gupta, Y-S Ong, B. Da, L. Feng, D. Handoko,
          "Measuring Complementarity between Function Landscapes in Evolutionary Multitasking", 2016 IEEE World Congress on Computational Intelligence, Vancouver, Canada, July 2016.
 
        • P. W​ei, Y. Ke, C-K Goh,
          "Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation", 2016 International Joint Conference on Artificial Intelligence, New Work, USA, July 2016.
 
        • R. Chandra, A. Gupta, Y-S Ong and C-K. Goh,
          “Evolutionary multi-task learning for modular training of feedforward neural networks”, 23rd International Conference on Neural Information Processing, Kyoto, Japan, October 16-21, 2016.
 
        •  R. Sagarna, Y-S Ong,
          “Concurrently Searching Branches in Software Tests Generation through Multitask Evolution”, 2016 IEEE Symposium Series on Computational Intelligence, Athens, Greece, December 6-9, 2016.
 
        • Y. Liu, X. Li, A. W-K Kong, C-K Goh,
          "Learning from small data: a pairwise approach for ordinal regression", 2016 IEEE Symposium Series on Computational Intelligence, Athens, Greece, December 6-9, 2016.
 
        • D. Lim, Y-S Ong, A. Gupta, C.K. Goh, P. Dutta,
          "Towards A New Praxis in Optinformatics for Evolutionary Computation: Simultaneous Problem Learning and Optimization", Evolutionary Intelligence, Sep 2016.
 
 
        • Y. LiuA. W-K Kong and C-K Goh,
          "Deep Ordinal Regression based on Data Relationship for Small Datasets", Twenty-sixth International Joint Conference on Artificial Intelligence (IJCAI-17), Melbourne, Australia, 19-25 August 2017
 
  
        • P.Wei, Y. Ke, and C-K Goh,
          "Domain Specific Feature Transfer for Hybrid Domain Adaptation", IEEE International Conference on Data Mining (ICDM) 2017, New Orleans, USA, 18-21 November, 2017.
 
 
      • Yanzhu Liu, Adams Kong and Chi Keong Goh,
        "A Constrainted Deep Neral Network for Ordinal Regression" Computer Vision and Pattern Recognition 2018 (CVPR) Jun 19, 2018 - Jun 21, Salt Lake City, USA

 

 
 

C-RT3.2

 
 
 

C-RT3.3

  • Vinod Rajendran, Yiping Ke, Erwin Leonardi, Kevin Menzies,
    "Vortex Detection on Unsteady CFD Simulations Using Recuurent Neural Networks", 2018 AIAA AVIATION Forum, 25-29 June 2018, Atlanta, GA, USA.
 


RT3.5

  • H. Yang, J. T. Zhou and J. Cai,
    “Improving multi-label learning with missing labels by structured semantic correlations”, The 14th European Conference on Computer Vision (ECCV2016, Oral presentation), Amsterdam, 8-16 October, 2016.
 
 
 
 
 
  • Jianfei Cai, Yew - Soon Ong,
    "Remarks on multi-output Gaussian Process regression", Knoweldge-Based Systems 2017, p1-22
 
 
  • Haitao Liu, Jianfei Cai,Yew - Soon Ong, Yi Wang,
    "A comparison study of large-scale Gaussian Process Regression." AIAA Aviation Conference, 2018
 
 
 

C-RT4.1

 
 
 
 
 
 
 
 

C-RT4.2

 
 
 
 
 

C-RT5.1

  • Moath JARRAH and Jie ZHANG,
    Trusted Mediator Agents to Better Manage Complex and Competitive Supply Chains. In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (AAMAS '15). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 1811-1812, 2015
 
 
 
 
 
 
 
 
 
 
 

     C-RT5.2

     
    •  M. A. Kabir, Z. Xing, P. Chandrasekaran, and S.-W. Lin,
      “Process Pattern: A Reusable Design Artifact for Business Process Models”, IEEE Computer Society Signature Conference on Computers, Software and Applications (COMSAC 2017), 4-8 July, Torino, Italy, 2017.
     
    • S. Gao, Z. Xing, Y. Ma, D. Ye and S.-W. Lin,
      "Enhancing Knowledge Sharing in Stack Overflow via Automatic External Web Resources Linking", International Conference on Engineering of Complex Computer Systems (ICECCS), 2017.
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