Elena Haedecke

According to our database, Elena Haedecke authored at least 10 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Global Properties from Local Explanations with Concept Explanation Clusters.

Elena Haedecke, Maram Akila, Laura von Rüden

Proceedings of the Explainable Artificial Intelligence, 2025

2024

Using ScrutinAI for visual inspection of DNN performance in a medical use case.

Rebekka Görge, Elena Haedecke, Michael Mock

AI Ethics, February, 2024

Developing trustworthy AI applications with foundation models.

Michael Mock, Sebastian Schmidt, Felix Müller, Rebekka Görge, Anna Schmitz, Elena Haedecke, Angelika Voss, Dirk Hecker, Maximilian Poretschkin

CoRR, 2024

2023

ScrutinAI: A visual analytics tool supporting semantic assessments of object detection models.

Elena Haedecke, Michael Mock, Maram Akila

Comput. Graph., August, 2023

Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog.

Maximilian Poretschkin, Anna Schmitz, Maram Akila, Linara Adilova, Daniel Becker, Armin B. Cremers, Dirk Hecker, Sebastian Houben, Michael Mock, Julia Rosenzweig, Joachim Sicking, Elena Schulz, Angelika Voss, Stefan Wrobel

CoRR, 2023

2022

ScrutinAI: A Visual Analytics Approach for the Semantic Analysis of Deep Neural Network Predictions.

Elena Haedecke, Michael Mock, Maram Akila

Proceedings of the 13th International EuroVis Workshop on Visual Analytics, 2022

2021

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety.

Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle

CoRR, 2021

Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation.

Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2017

Practical undergraduate projects within the BRSU race academy: An example for conducting a new tutored peer-teaching learning approach.

Dirk Reith, Tobias Haedecke, Elena Schulz, Lutz Langel, Lukas Gemein, Iris Gross

Proceedings of the 2017 IEEE Global Engineering Education Conference, 2017

2016

The BRSU Race Academy: A Tutored Peer-Teaching Learning Approach.

Dirk Reith, Tobias Haedecke, Elena Schulz, Lutz Langel, Lukas Gemein, Iris Groß

Proceedings of the Interactive Collaborative Learning - Proceedings of the 19th ICL Conference, 2016