Explainable Machine Learning

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Our group meeting on 14-Nov-2023 included a glimpse on methods to make machinelearning explainable.

Don't hesitate to reach out to me if you want to discuss our research on explainable ML. You can also become an affiliate of our research group to get invites to our online group meetings:

relevant papers from our group:

A. Jung and P. H. J. Nardelli, "An Information-Theoretic Approach to Personalized Explainable Machine Learning," in IEEE Signal Processing Letters, vol. 27, pp. 825-829, 2020, doi: 10.1109/LSP.2020.2993176.

L. Zhang, G. Karakasidis, A. Odnoblyudova, L. Dogruel, and A. Jung, “Explainable Empirical Risk Minimization”, arXiv e-prints, 2020. doi:10.48550/arXiv.2009.01492.

#explainableai
  1. Alexander Jung
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