• Modelling of shallow landslides with Machine Learning algorithms 

      Liu, Zhongqiang; Gilbert, Graham Lewis; Cepeda, Rivera Jose Mauricio; Lysdahl, Asgeir Olaf Kydland; Piciullo, Luca; Haugland, Heidi Hefre; Lacasse, Suzanne (Peer reviewed; Journal article, 2020)
      This paper introduces three machine learning (ML) algorithms, the 'ensemble' Random Forest (RF), the 'ensemble' Gradient Boosted Regression Tree (GBRT) and the MultiLayer Perceptron neural network (MLP) and applies them ...
    • State-of-the-art review of soft computing applications in underground excavations 

      Zhang, Wengang; Zhang, Runhong; Wu, Chongzhi; Goh, Anthony Teck Chee; Lacasse, Suzanne; Liu, Zhongqiang; Liu, Hanlong (Peer reviewed; Journal article, 2019)
      Soft computing techniques are becoming even more popular and particularly amenable to model the complex behaviors of most geotechnical engineering systems since they have demonstrated superior predictive capacity, compared ...