Prediction of landslide displacement with an ensemble-based extreme learning machine and copula models
Sign Up to like & getrecommendations! Published in 2018 at "Landslides"
DOI: 10.1007/s10346-018-1020-2
Abstract: Research on the dynamics of landslide displacement forms the basis for landslide hazard prevention. This paper proposes a novel data-driven approach to monitor and predict the landslide displacement. In the first part, autoregressive moving average… read more here.
Keywords: machine; extreme learning; landslide displacement; displacement ... See more keywords
A clustering method based on extreme learning machine
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.02.100
Abstract: Abstract Though many successful methods have been proposed for supervised learning tasks, such as support vector machines and extreme learning machines (ELM), it is still an open problem to extend the successful supervised learning methods… read more here.
Keywords: clustering method; method based; extreme learning; learning machine ... See more keywords
Estimating and forecasting portfolio’s Value-at-Risk with wavelet-based extreme value theory: Evidence from crude oil prices and US exchange rates
Sign Up to like & getrecommendations! Published in 2017 at "Journal of the Operational Research Society"
DOI: 10.1057/s41274-016-0133-z
Abstract: This article proposes a wavelet-based extreme value theory (W-EVT) approach to estimate and forecast portfolio’s Value-at-Risk (VaR) given the stylized facts and complex structure of financial data. Our empirical application to portfolios of crude oil… read more here.
Keywords: wavelet based; extreme value; portfolio; value ... See more keywords
Deep Auto Encoder Based Extreme Learning System for Automatic Segmentation of Cervical Cells
Sign Up to like & getrecommendations! Published in 2021 at "IETE Journal of Research"
DOI: 10.1080/03772063.2021.1958075
Abstract: Nowadays, cervical cancer has emerged as one of the major causes of death and thus makes it incredibly difficult to identify it. In this research, three novel methods have been developed for the au... read more here.
Keywords: extreme learning; auto encoder; learning system; encoder based ... See more keywords
A Novel Feature Selection Method Based on Extreme Learning Machine and Fractional-Order Darwinian PSO
Sign Up to like & getrecommendations! Published in 2018 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2018/5078268
Abstract: The paper presents a novel approach for feature selection based on extreme learning machine (ELM) and Fractional-order Darwinian particle swarm optimization (FODPSO) for regression problems. The proposed method constructs a fitness function by calculating mean… read more here.
Keywords: order; feature selection; feature; extreme learning ... See more keywords
Clinical Prediction of Heart Failure in Hemodialysis Patients: Based on the Extreme Gradient Boosting Method
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.889378
Abstract: Background: Heart failure (HF) is the main cause of mortality in hemodialysis (HD) patients. However, it is still a challenge for the prediction of HF in HD patients. Therefore, we aimed to establish and validate… read more here.
Keywords: heart failure; based extreme; prediction; hemodialysis patients ... See more keywords