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Showing 1 - 7 results of 7 for search 'month : ((cengage learning) OR (feature learning)),~', query time: 0.17s Refine Results
  1. 1
    Uncovering latent features in massive open online courses

    Uncovering latent features in massive open online courses by Gillani, N

    Published 2014
    “…</p> <p>Moving from the structural properties of global-scale discussion to the discussion content itself, we employ existing educational theories to qualitatively content-analyse over 6,500 forum posts from a particular MOOC. …”
    Thesis
  2. 2
    A novel machine learning based framework for developing composite digital biomarkers of disease progression

    A novel machine learning based framework for developing composite digital biomarkers of disease progression by Zhai, S, Liaw, A, Shen, J, Xu, Y, Svetnik, V, FitzGerald, JJ, Antoniades, CA, Holder, D, Dockendorf, MF, Ren, J, Baumgartner, R

    Published 2025
    “…The data consisted of Opal™ sensor-based movement measurements and MDS-UPDRS Part III scores collected at 3-month intervals for 2 years in 30 PD and 10 healthy control participants. …”
    Journal article
  3. 3
    A machine learning approach on past ADS-B data to predict planning controller’s actions

    A machine learning approach on past ADS-B data to predict planning controller’s actions by Pham, Duc-Thinh, Alam, Sameer, Su, Yi-Lin, Duong, Vu N.

    Published 2021
    “…The learning problem is modeled as a supervised learning problem where the target variables are D-side controller actions and the explanatory variables are the aircraft 4D trajectory features. …”
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    Conference Paper
  4. 4
    Exploring employee working productivity: initial insights from machine learning predictive analytics and visualization

    Exploring employee working productivity: initial insights from machine learning predictive analytics and visualization by Razali, Mohd Norhisham, Ibrahim, Norizuandi, Hanapi, Rozita, Mohd Zamri, Norfarahzila, Abdul Manaf, Syaifulnizam

    Published 2023
    “…To address these challenges, this research aims to develop a predictive model using machine learning techniques to determine employee productivity within organizations. …”
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    Article
  5. 5
    RES.STP.001 Science Policy Bootcamp, January IAP 2010

    RES.STP.001 Science Policy Bootcamp, January IAP 2010 by Bonvillian, William

    Published 2010
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    Learning Object
  6. 6
    Sector entry flow prediction based on graph convolutional networks

    Sector entry flow prediction based on graph convolutional networks by Ma, Chunyao, Alam, Sameer, Cai, Qing, Delahaye, Daniel

    Published 2022
    “…The proposed method is applied on 164 sectors of French airspace for one-month ADS-B data )from Dec 1, 2019, to Dec 31, 2019) which includes 158,856 flights. …”
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    Conference Paper
  7. 7
    Annual dilated convolution neural network for newbuilding ship prices forecasting

    Annual dilated convolution neural network for newbuilding ship prices forecasting by Gao, Ruobin, Liu, Jiahui, Bai, Xiwen, Yuen, Kum Fai

    Published 2022
    “…Finally, the convoluted features are fed into a linear layer which maps the features to future values. …”
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    Journal Article

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