We have received the best paper award (1 out of 100 CD-MAKE submissions) at the International IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE) CD-MAKE 2021 with the paper:

On the overlap between Grad-CAM saliency maps and explainable visual features in skin cancer images

Source: https://youtu.be/OgzC-ZDltFg

Fabrizio Nunnari, Md Abdul Kadir, Daniel Sonntag: On the Overlap Between Grad-CAM Saliency Maps and Explainable Visual Features in Skin Cancer Images. In: Holzinger, Andreas; Kieseberg, Peter; Tjoa, Min; Weippl, Edgar (Ed.): Machine Learning and Knowledge Extraction, pp. 241-253, Springer International Publishing, 2021.

In addition, we presented a second paper at the conference – Anomaly detection for skin lesion images using replicator neural networks:

Source: https://youtu.be/qYRtyvQyaO8
Fabrizio Nunnari, Hasan Md Tusfiqur Alam, Daniel Sonntag: Anomaly Detection for Skin Lesion Images Using Replicator Neural Networks. In: Holzinger, Andreas; Kieseberg, Peter; Tjoa, Min; Weippl, Edgar (Ed.): Machine Learning and Knowledge Extraction, pp. 225-240, Springer International Publishing, 2021.