Now showing items 1-4 of 4

    • The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations 

      Chatzimparmpas, Angelos; Martins, Rafael M.; Jusufi, Ilir; Kucher, Kostiantyn; Rossi, Fabrice; Kerren, Andreas (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Machine learning (ML) models are nowadays used in complex applications in various domains, such as medicine, bioinformatics, and other sciences. Due to their black box nature, however, it may sometimes be hard to understand ...
    • The State of the Art in Sentiment Visualization 

      Kucher, Kostiantyn; Paradis, Carita; Kerren, Andreas (© 2018 The Eurographics Association and John Wiley & Sons Ltd., 2018)
      Visualization of sentiments and opinions extracted from or annotated in texts has become a prominent topic of research over the last decade. From basic pie and bar charts used to illustrate customer reviews to extensive ...
    • VA + Embeddings STAR: A State-of-the-Art Report on the Use of Embeddings in Visual Analytics 

      Huang, Zeyang; Witschard, Daniel; Kucher, Kostiantyn; Kerren, Andreas (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Over the past years, an increasing number of publications in information visualization, especially within the field of visual analytics, have mentioned the term ''embedding'' when describing the computational approach. ...
    • VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization 

      Chatzimparmpas, Angelos; Martins, Rafael M.; Kucher, Kostiantyn; Kerren, Andreas (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      During the training phase of machine learning (ML) models, it is usually necessary to configure several hyperparameters. This process is computationally intensive and requires an extensive search to infer the best ...