On Knowledge Discovery and Interactive Intelligent Visualization of Biomedical Data - Challenges in Human-Computer Interaction & Biomedical Informatics

By Andreas Holzinger. 2012

67 citations recorded by the source corpus.

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Citations in the corpus

What do we need to build explainable AI systems for the medical domain? (2017, background): “…fosters integrative ML, i.e. a synergistic combination of diverse methodological approaches in a concerted eﬀort to augment human intelligence with artiﬁcial intelligence, and eventually to enable what neither of them could do on their own (Holzinger, 2012, 2013, 2017; Holzinger et al., 2017a).”
Human-Computer Interaction and Knowledge Discovery (HCI-KDD): What Is the Benefit of Bringing Those Two Fields to Work Together? (2013, unknown): “One of the grand challenges in our networked 21 century is the large, complex, and often weakly structured [5], [6], or even unstructured data [7].”
Ask Me Anything: A Conversational Interface to Augment Information Security Workers (2017, background): “In [7] researchers applied NLP to provide an interface enabling users to find and recognize previously unknown, but useful information.”
Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology (2017, background): “The variety of problems in digital pathology requires a synergistic combination of various methodological approaches which calls for an integrated ML approach (Holzinger, 2012, 2013; Holzinger et al., 2017a).”
Biobanks - A Source of Large Biological Data Sets: Open Problems and Future Challenges (2014, background): “One of the grand challenges in our networked world are the large, complex, and often weakly structured data sets along with the increasing amount of unstructured information [1].”