Publications

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1. Ellák Somfai; Benjámin Baffy; Kristian Fenech; Changlu Guo; Rita Hosszú; Dorina Korózs; Fabrizio Nunnari; Marcell Pólik; Daniel Sonntag; Attila Ulbert; András Lorincz

   Minimizing false negative rate in melanoma detection and providing insight into the causes of classification

   In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2102.09199, Pages 1-14, arXiv, 2021.

2. Fabrizio Nunnari; Md Abdul Kadir; Daniel Sonntag

   On the Overlap Between Grad-CAM Saliency Maps and Explainable Visual Features in Skin Cancer Images

   In: Andreas Holzinger; Peter Kieseberg; A. Min Tjoa; Edgar Weippl (Hrsg.). Machine Learning and Knowledge Extraction. International IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE) (CD-MAKE-2021), August 17-20, Virtual, Pages 241-253, LNCS, Vol. 12844, ISBN 978-3-030-84060-0, Springer International Publishing, 2021.

3. Fabrizio Nunnari; Abraham Ezema; Daniel Sonntag

   Crop It, but Not Too Much: The Effects of Masking on the Classification of Melanoma Images

   In: Stefan Edelkamp; Ralf Möller; Elmar Rueckert (Hrsg.). KI 2021: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2021), September 27 - October 1, Germany, Pages 179-193, ISBN 978-3-030-87626-5, Springer International Publishing, 2021.

4. Fabrizio Nunnari; Abraham Ezema; Daniel Sonntag

   The effects of masking in melanoma image classification with CNNs towards international standards for image preprocessing

   In: 2020 EAI International Symposium on Medical Artificial Intelligence. EAI International Symposium on Medical Artificial Intelligence (MedAI-2020), December 18, Online-Conference, EAI, 12/2020.

5. A. Heimann-Steinert; A. Latendorf; Alexander Prange; Daniel Sonntag; U. Müller-Werdan

   Digital pen technology for conducting cognitive assessments: a cross-over study with older adults

   In: Psychological Research, Vol. 85, Pages 1-9, Springer, 2020.

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