15–19 Sept 2024
Leuven, Belgium
Europe/Berlin timezone

Session

Data Science

17 Sept 2024, 10:05
Leuven, Belgium

Leuven, Belgium

Janseniusstraat 1, 3000 Leuven

Conveners

Data Science

  • Sonja Kuhnt (Dortmund University of Applied Sciences and Arts)

Presentation materials

There are no materials yet.

  1. Paula-Alexandra Gitu (Maastricht University)
    17/09/2024, 10:05
    Data Science

    AdDownloader is a Python package for downloading advertisements and their media content from the Meta Online Ad Library. With a valid Meta developer access token, AdDownloader automates the process of downloading relevant ads data and storing it in a user-friendly format. Additionally, AdDownloader uses individual ad links from the downloaded data to access each ad's media content (i.e. images...

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  2. Amalia Vanacore (Department of Industrial Engineering University of Naples Federico II), Dr Armando Ciardiello (Dept. of Industrial Engineering, University of Naples Federico II)
    17/09/2024, 10:25
    Data Science

    Different data difficulty factors (e.g., class imbalance, class overlapping, presence of outliers and noisy observations and difficult border decisions) make classification tasks challenging in many practical applications and are hot topics in the domain of pattern recognition, machine learning and deep learning. Data complexity factors have been widely discussed in specialized literature from...

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