Showing 201 - 220 results of 7,363 for search '(( significantly ((we decrease) OR (linear decrease)) ) OR ( significant concern decrease ))', query time: 0.45s Refine Results
  1. 201

    Hyperparameter ranges by Eloy Geenjaar (21533195)

    Published 2025
    “…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
  2. 202

    Convolutional vs RNN context encoder by Eloy Geenjaar (21533195)

    Published 2025
    “…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
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    Ethogram describing all outcome measures. by Sara Hintze (3216885)

    Published 2024
    “…<div><p>Animal boredom is a potentially prevalent, but underresearched animal welfare concern. To study the characteristics of boredom and its welfare consequences, we need to be sure that animals are actually bored and do not suffer from other negatively valenced states like apathy and depression. …”
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    Row data. by Xiangyu Wang (341093)

    Published 2025
    “…Traditional aesthetic education often neglects direct engagement with body image concerns. To address this gap, we developed an innovative general education course, <i>Aesthetics in Traditional Chinese Medicine and Western Medicine</i>, integrating medical aesthetics with multidisciplinary perspectives. …”
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