Bernd Malle
Bernd Malle
CEO iNodis (AI recommender service)
Verified email at inodis.net - Homepage
TitleCited byYear
The right to be forgotten: towards machine learning on perturbed knowledge bases
B Malle, P Kieseberg, E Weippl, A Holzinger
International Conference on Availability, Reliability, and Security, 251-266, 2016
262016
A tamper-proof audit and control system for the doctor in the loop
P Kieseberg, B Malle, P Frühwirt, E Weippl, A Holzinger
Brain informatics 3 (4), 269-279, 2016
192016
Machine learning and data mining methods for managing Parkinson’s disease
D Miljkovic, D Aleksovski, V Podpečan, N Lavrač, B Malle, A Holzinger
Machine Learning for Health Informatics, 209-220, 2016
192016
Towards the augmented pathologist: Challenges of explainable-ai in digital pathology
A Holzinger, B Malle, P Kieseberg, PM Roth, H Müller, R Reihs, ...
arXiv preprint arXiv:1712.06657, 2017
162017
On the generation of point cloud data sets: Step one in the knowledge discovery process
A Holzinger, B Malle, M Bloice, M Wiltgen, M Ferri, I Stanganelli, ...
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, 57-80, 2014
132014
On graph extraction from image data
A Holzinger, B Malle, N Giuliani
International Conference on Brain Informatics and Health, 552-563, 2014
102014
Machine learning and knowledge extraction in digital pathology needs an integrative approach
A Holzinger, B Malle, P Kieseberg, PM Roth, H Müller, R Reihs, ...
Towards Integrative Machine Learning and Knowledge Extraction, 13-50, 2017
82017
Privacy Aware Machine Learning and the “Right to be forgotten”
B Malle, P Kieseberg, S Schrittwieser, A Holzinger
ERCIM News 107 (3), 22-23, 2016
72016
The more the merrier-federated learning from local sphere recommendations
B Malle, N Giuliani, P Kieseberg, A Holzinger
International Cross-Domain Conference for Machine Learning and Knowledge …, 2017
62017
Do not disturb? classifier behavior on perturbed datasets
B Malle, P Kieseberg, A Holzinger
International Cross-Domain Conference for Machine Learning and Knowledge …, 2017
52017
The Need for Speed of AI Applications: Performance Comparison of Native vs. Browser-based Algorithm Implementations
B Malle, N Giuliani, P Kieseberg, A Holzinger
arXiv preprint arXiv:1802.03707, 2018
12018
Interactive Anonymization for Privacy aware Machine Learning
B Malle12, P Kieseberg12, A Holzinger
IAL@ ECML PKDD 2017, 15, 2017
12017
" A tamper-proof audit and control system for the doctor in the loop"; Brain Informatics, 3 (2016), 4; S. 269-279.
P Kieseberg, B Malle, P Frühwirt, A Holzinger, E Weippl
Das Testen von Algorithmen in sensibler datengetriebener Forschung
P Kieseberg, S Schrittwieser, B Malle, E Weippl, A Holzinger, JRZ Target, ...
41. WI-MAW-Rundbrief, 0
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