Search Results - "Leow, Steven Mun Hong"

  • Showing 1 - 4 results of 4
Refine Results
  1. 1

    Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review by Chan, Jireh Yi-Le, Leow, Steven Mun Hong, Bea, Khean Thye, Cheng, Wai Khuen, Phoong, Seuk Wai, Hong, Zeng-Wei, Chen, Yen-Lin

    Published in Mathematics (Basel) (01-04-2022)
    “…Technologies have driven big data collection across many fields, such as genomics and business intelligence. This results in a significant increase in…”
    Get full text
    Journal Article
  2. 2

    A Review of Sentiment, Semantic and Event-Extraction-Based Approaches in Stock Forecasting by Cheng, Wai Khuen, Bea, Khean Thye, Leow, Steven Mun Hong, Chan, Jireh Yi-Le, Hong, Zeng-Wei, Chen, Yen-Lin

    Published in Mathematics (Basel) (01-07-2022)
    “…Stock forecasting is a significant and challenging task. The recent development of web technologies has transformed the communication channel to allow the…”
    Get full text
    Journal Article
  3. 3

    A Correlation-Embedded Attention Module to Mitigate Multicollinearity: An Algorithmic Trading Application by Chan, Jireh Yi-Le, Leow, Steven Mun Hong, Bea, Khean Thye, Cheng, Wai Khuen, Phoong, Seuk Wai, Hong, Zeng-Wei, Lin, Jim-Min, Chen, Yen-Lin

    Published in Mathematics (Basel) (01-04-2022)
    “…Algorithmic trading is a common topic researched in the neural network due to the abundance of data available. It is a phenomenon where an approximately linear…”
    Get full text
    Journal Article
  4. 4

    State of the art: a review of sentiment analysis based on sequential transfer learning by Chan, Jireh Yi-Le, Bea, Khean Thye, Leow, Steven Mun Hong, Phoong, Seuk Wai, Cheng, Wai Khuen

    “…Recently, sequential transfer learning emerged as a modern technique for applying the “pretrain then fine-tune” paradigm to leverage existing knowledge to…”
    Get full text
    Journal Article