| Towards multi-modal causability with graph neural networks enabling information fusion for explainable AI A Holzinger, B Malle, A Saranti, B Pfeifer Information Fusion 71, 28-37, 2021 | 319 | 2021 |
| 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 | 94 | 2017 |
| The right to be forgotten: towards machine learning on perturbed knowledge bases B Malle, P Kieseberg, E Weippl, A Holzinger Availability, Reliability, and Security in Information Systems: IFIP WG 8.4 …, 2016 | 50 | 2016 |
| 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: BIRS Workshop …, 2017 | 49 | 2017 |
| 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: state-of-the-art and future …, 2016 | 47 | 2016 |
| 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, 269-279, 2016 | 40 | 2016 |
| The more the merrier-federated learning from local sphere recommendations B Malle, N Giuliani, P Kieseberg, A Holzinger Machine Learning and Knowledge Extraction: First IFIP TC 5, WG 8.4, 8.9, 12 …, 2017 | 24 | 2017 |
| Do not disturb? classifier behavior on perturbed datasets B Malle, P Kieseberg, A Holzinger Machine Learning and Knowledge Extraction: First IFIP TC 5, WG 8.4, 8.9, 12 …, 2017 | 24 | 2017 |
| 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 …, 2014 | 17 | 2014 |
| On graph extraction from image data A Holzinger, B Malle, N Giuliani Brain Informatics and Health: International Conference, BIH 2014, Warsaw …, 2014 | 16 | 2014 |
| 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 | 12 | 2016 |
| Towards the augmented pathologist: challenges of explainable‑AI in digital pathology. CoRR A Holzinger, B Malle, P Kieseberg, PM Roth, H Müller, R Reihs, ... arXiv preprint arXiv:1712.06657, 2017 | 8 | 2017 |
| Interactive Anonymization for Privacy aware Machine Learning B Malle12, P Kieseberg12, A Holzinger IAL@ ECML PKDD 2017, 15, 2017 | 8 | 2017 |
| Towards the augmented pathologist: Challenges of explainable-ai in digital pathology. arXiv 2017 A Holzinger, B Malle, P Kieseberg, PM Roth, H Müller, R Reihs, ... arXiv preprint arXiv:1712.06657, 0 | 7 | |
| Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology.(dec 2017) A Holzinger, B Malle, P Kieseberg, PM Roth, H Müller, R Reihs, ... arXiv preprint arXiv:1712.06657, 2017 | 6 | 2017 |
| 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 | 5 | 2018 |
| " 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 | | |
Andreas HolzingerHuman-Centered AI Lab, University of Natural Resources and Life Sciences, Vienna, Austria在 boku.ac.at 的电子邮件经过验证
