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Scientific Publications

List of scientific and research publications developed in the context of iToBoS project.

  • Towards the Interpretability of Deep Learning Models for Human Neuroimaging.
  • CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations.
  • Explain and improve: LRP-inference fine-tuning for image captioning models.
  • Finding and removing Clever Hans: Using explanation methods to debug and improve deep models.
  • Explaining Machine Learning Models for Clinical Gait Analysis.
  • PatClarC: Using pattern concept activation vectors for noise-robust model debugging.
  • Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations.
  • Measurably Stronger Explanation Reliability via Model Canonization.
  • Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement.

  

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EU Flag This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 965221. The information and views of this website lie entirely with the authors. The European Commission is not responsible for any use that may be made of the information it contains.

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    • Context
    • Objectives
    • About iToBoS
    • Consortium
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    • Promotional Material
  • Publications
    • Articles
    • Scientific Publications
  • Media
  • Events
  • News