Auflistung Fakultät für Elektrotechnik und Informatik nach Autor/in "cefc7e30-8e29-4f09-836c-efd47af8e39f"

Auflistung Fakultät für Elektrotechnik und Informatik nach Autor/in "cefc7e30-8e29-4f09-836c-efd47af8e39f"

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  • Active feature acquisition for opinion stream classification under drift 
    Shivakumaraswamy, Ranjith; Beyer, Christian; Unnikrishnan, Vishnu; Ntoutsi, Eirini; Spiliopoulou, Myra (Aachen, Germany : RWTH Aachen, 2019)
    Active stream learning is frequently used to acquire labels for instances and less frequently to determine which features should be considered as the stream evolves. We introduce a framework for active feature selection, ...
  • Active feature acquisition on data streams under feature drift 
    Beyer, Christian; Büttner, Maik; Unnikrishnan, Vishnu; Schleicher, Miro; Ntoutsi, Eirini; Spiliopoulou, Myra (Berlin : Springer, 2020)
    Traditional active learning tries to identify instances for which the acquisition of the label increases model performance under budget constraints. Less research has been devoted to the task of actively acquiring feature ...
  • AdaCC: cumulative cost-sensitive boosting for imbalanced classification 
    Iosifidis, Vasileios; Papadopoulos, Symeon; Rosenhahn, Bodo; Ntoutsi, Eirini (London : Springer, 2022)
    Class imbalance poses a major challenge for machine learning as most supervised learning models might exhibit bias towards the majority class and under-perform in the minority class. Cost-sensitive learning tackles this ...
  • Correction to: Studying bias in visual features through the lens of optimal transport 
    Fabbrizzi, Simone; Zhao, Xuan; Krasanakis, Emmanouil; Papadopoulos, Symeon; Ntoutsi, Eirini (Dordrecht [u.a.] : Springer Science + Business Media B.V, 2023)
    In this article the statement after Equation 1 had an error in the published version. Please refer the correction as follows: “where ν = T#µ and T# is the push-forward of µ along the function T : X → Y” was incorrectly ...
  • Studying bias in visual features through the lens of optimal transport 
    Fabbrizzi, Simone; Zhao, Xuan; Krasanakis, Emmanouil; Papadopoulos, Symeon; Ntoutsi, Eirini (Dordrecht [u.a.] : Springer Science + Business Media B.V, 2023)
    Computer vision systems are employed in a variety of high-impact applications. However, making them trustworthy requires methods for the detection of potential biases in their training data, before models learn to harm ...

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