To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems J Amann, D Vetter, SN Blomberg, HC Christensen, M Coffee, S Gerke, ... PLOS Digital Health 1 (2), e0000016, 2022 | 130 | 2022 |
Co-design of a trustworthy AI system in healthcare: deep learning based skin lesion classifier RV Zicari, S Ahmed, J Amann, SA Braun, J Brodersen, F Bruneault, ... Frontiers in Human Dynamics 3, 688152, 2021 | 56 | 2021 |
On assessing trustworthy AI in healthcare. Machine learning as a supportive tool to recognize cardiac arrest in emergency calls RV Zicari, J Brusseau, SN Blomberg, HC Christensen, M Coffee, ... Frontiers in Human Dynamics 3, 673104, 2021 | 43 | 2021 |
Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients H Allahabadi, J Amann, I Balot, A Beretta, C Binkley, J Bozenhard, ... IEEE Transactions on Technology and Society 3 (4), 272-289, 2022 | 25 | 2022 |
Lessons Learned from Assessing Trustworthy AI in Practice D Vetter, J Amann, F Bruneault, M Coffee, B Düdder, A Gallucci, ... Digital Society 2 (3), 35, 2023 | 19 | 2023 |
How to Assess Trustworthy AI in Practice RV Zicari, J Amann, F Bruneault, M Coffee, B Düdder, E Hickman, ... arXiv preprint arXiv:2206.09887, 2022 | 12 | 2022 |
Finding the Sweet Spot: Batch Selection for One-Class Active Learning A Englhardt, H Trittenbach, D Vetter, K Böhm Proceedings of the 2020 SIAM International Conference on Data Mining, 118-126, 2020 | 9 | 2020 |
Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI D Vetter, JJ Tithi, M Westerlund, RV Zicari, G Roig arXiv preprint arXiv:2208.04608, 2022 | 7 | 2022 |
Co-design of a trustworthy AI system in healthcare: deep learning based skin lesion classifier. Front. Hum. Dyn. 3, 40 RV Zicari, S Ahmed, J Amann, SA Braun, J Brodersen, F Bruneault, ... | 6 | 2021 |
Vision-based localization of modular satellite interfaces for robotic on-orbit manipulation S Scherzinger, D Vetter, J Mangler, S Rühl, A Roennau, R Dillmann Proceedings of the 12th International Symposium on Artificial Intelligence …, 2016 | 1 | 2016 |
On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process G Adhane, MM Dehshibi, D Vetter, D Masip, G Roig arXiv preprint arXiv:2412.13943, 2024 | | 2024 |
Classification of freshwater snails of the genus\emph {Radomaniola} with multimodal triplet networks D Vetter, M Ahsan, D Delicado, TA Neubauer, T Wilke, G Roig arXiv e-prints, arXiv: 2407.20013, 2024 | | 2024 |
Lessons Learned in Performing a Trustworthy AI and Fundamental Rights Assessment M Boonstra, F Bruneault, S Chakraborty, T Faber, A Gallucci, E Hickman, ... arXiv preprint arXiv:2404.14366, 2024 | | 2024 |
Classification of freshwater snails of the genus Radomaniola with multimodal triplet networks D Vetter, M Ahsan, D Delicado, TA Neubauer, T Wilke, G Roig ICML 2024 AI for Science Workshop, 2024 | | 2024 |
Fairness Through Controlled (Un) Awareness in Node Embeddings D Vetter, J Forth, G Roig, H Dell ICML 2024 Next Generation of AI Safety Workshop, 2024 | | 2024 |