20.03.2024

Two of theses papers were developed from case studies with the Data Science degree programme!

Congratulations to Bin Li and Simon Klüttermann and all of their co-authors for their four papers that got accepted at IJCNN 2024: Two of these papers were developed from case studies with the Data Science degree program!

  • 'The Phenomenon of Correlated Representations in Contrastive Learning' by Simon Klüttermann and Jerome Rutinowski, Emmanuel Müller
  • 'Cohesive Explanation for Time Series Prediction' by Bin Li and Emmanuel Müller
  • 'Autoencoder Optimization for Anomaly Detection: A Comparative Study with Shallow Algorithms' by Vikas Kumar, Arindam Pal, Vishesh Srivastava, Sadia Mahjabin, Simon Klüttermann, Emmanuel Müller
  • 'Evaluating Anomaly Detection Algorithms: A Multi-Metric Analysis Across Variable Class Imbalances' by Mohammad Sahadat Hossain, Mohammad Sakhawat Hossain, Simon Klüttermann, Emmanuel Müller

 

Looking forward to more of this success news, although there were also several rejections, but without a try there is no success possible. Hence, again, congratulations to all authors.

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