Multimodal Computing & Machine Intelligence

@article{Nauta2023_csur_evaluating-xai-survey,
  author = {Nauta, Meike and Trienes, Jan and Pathak, Shreyasi and Nguyen, Elisa and Peters, Michelle and Schmitt, Yasmin and Schl\"{o}tterer, J\"{o}rg and van Keulen, Maurice and Seifert, Christin},
  journal = {ACM Comput. Surv.},
  title = {From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI},
  year = {2023},
  issn = {0360-0300},
  month = feb,
  address = {New York, NY, USA},
  doi = {10.1145/3583558},
  keywords = {explainability, explainable AI, explainable artificial intelligence, XAI, interpretable machine learning, interpretability, quantitative evaluation methods, evaluation},
  publisher = {Association for Computing Machinery},
  url = {https://doi.org/10.1145/3583558}
}

@article{Rietberg2023_mdpi_classifying-ms-patient-reports,
  author = {Rietberg, Max Tigo and Nguyen, Van Bach and Geerdink, Jeroen and Vijlbrief, Onno and Seifert, Christin},
  journal = {Diagnostics},
  title = {Accurate and Reliable Classification of Unstructured Reports on Their Diagnostic Goal Using BERT Models},
  year = {2023},
  issn = {2075-4418},
  number = {7},
  volume = {13},
  article-number = {1251},
  doi = {10.3390/diagnostics13071251},
  url = {https://www.mdpi.com/2075-4418/13/7/1251}
}

@article{Borys2023_ejr_xai-in-medical-saliency,
  author = {Borys, Katarzyna and {Alyssa Schmitt}, Yasmin and Nauta, Meike and Seifert, Christin and Krämer, Nicole and Friedrich, Christoph M. and Nensa, Felix},
  journal = {European Journal of Radiology},
  title = {Explainable AI in Medical Imaging: An overview for clinical practitioners – Saliency-based XAI approaches},
  year = {2023},
  issn = {0720-048X},
  pages = {110787},
  doi = {https://doi.org/10.1016/j.ejrad.2023.110787},
  keywords = {Explainable AI, Medical Imaging, Radiology, Black-Box, Explainability, Interpretability},
  url = {https://www.sciencedirect.com/science/article/pii/S0720048X23001018}
}

@article{Borys2023_ejr_xai-in-medical-beyond-saliency,
  author = {Borys, Katarzyna and Schmitt, Yasmin Alyssa and Nauta, Meike and Seifert, Christin and Krämer, Nicole and Friedrich, Christoph M. and Nensa, Felix},
  journal = {European Journal of Radiology},
  title = {Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches},
  year = {2023},
  issn = {0720-048X},
  pages = {110786},
  volume = {162},
  doi = {https://doi.org/10.1016/j.ejrad.2023.110786},
  keywords = {Explainable AI, Medical imaging, Radiology, Black-Box, Explainability, Interpretability},
  url = {https://www.sciencedirect.com/science/article/pii/S0720048X23001006}
}

@article{Lu2023_tsnre_channel-contribution-sleep-scoring,
  author = {Lu, Changqing and Pathak, Shreyasi and Englebienne, Gwenn and Seifert, Christin},
  journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  title = {Channel Contribution In Deep Learning Based Automatic Sleep Scoring – How Many Channels Do We Need?},
  year = {2023},
  pages = {494-505},
  doi = {10.1109/TNSRE.2022.3227040}
}