| In AI we trust incrementally: A multi-layer model of trust to analyze human-artificial intelligence interactions A Ferrario, M Loi, E Viganò Philosophy & Technology 33 (3), 523-539, 2020 | 155 | 2020 |
| How Explainability Contributes to Trust in AI A Ferrario, M Loi FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022 | 74 | 2022 |
| Transparency as design publicity: explaining and justifying inscrutable algorithms M Loi, A Ferrario, E Viganò Ethics and Information Technology 23 (3), 253-263, 2021 | 66 | 2021 |
| Insights from inside neural networks A Ferrario, A Noll, MV Wuthrich Available at SSRN 3226852, 2020 | 40 | 2020 |
| AI support for ethical decision-making around resuscitation: proceed with care N Biller-Andorno, A Ferrario, S Joebges, T Krones, F Massini, P Barth, ... Journal of medical ethics 48 (3), 175-183, 2022 | 36 | 2022 |
| The effects of acute work stress and appraisal on psychobiological stress responses in a group office environment JI Kerr, M Naegelin, RP Weibel, A Ferrario, R La Marca, ... Psychoneuroendocrinology 121, 104837, 2020 | 34 | 2020 |
| Trust does not need to be human: it is possible to trust medical AI A Ferrario, M Loi, E Viganò Journal of Medical Ethics 47 (6), 437-438, 2021 | 33 | 2021 |
| The Ethics of the Algorithmic Prediction of Goal of Care Preferences: From Theory to Practice A Ferrario, S Gloeckler, N Biller-Andorno Journal of Medical Ethics, 2022 - jme.bmj.com, 2022 | 26 | 2022 |
| Bimodules and branes in deformation quantization D Calaque, G Felder, A Ferrario, CA Rossi Compositio Mathematica 147 (1), 105-160, 2011 | 25 | 2011 |
| On boosting: Theory and applications A Ferrario, R Hämmerli Available at SSRN 3402687, 2019 | 24 | 2019 |
| An interpretable machine learning approach to multimodal stress detection in a simulated office environment M Naegelin, RP Weibel, JI Kerr, VR Schinazi, R La Marca, ... Journal of Biomedical Informatics 139, 104299, 2023 | 22 | 2023 |
| The Robustness of Counterfactual Explanations over Time A Ferrario, M Loi IEEE Access 10, 82736 - 82750, 2022 | 21 | 2022 |
| Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning A Ferrario, B Demiray, K Yordanova, M Luo, M Martin Journal of medical Internet research 22 (9), 2020 | 19 | 2020 |
| The Art of Natural Language Processing: Classical, Modern and Contemporary Approaches to Text Document Classification A Ferrario, M Naegelin Available at SSRN 3547887, 2020 | 17 | 2020 |
| Virtual reality-supported biofeedback for stress management: Beneficial effects on heart rate variability and user experience RP Weibel, JI Kerr, M Naegelin, A Ferrario, VR Schinazi, R La Marca, ... Computers in Human Behavior 141, 107607, 2023 | 16 | 2023 |
| ALEEDSA: Augmented reality for interactive machine learning A Ferrario, R Weibel, S Feuerriegel Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020 | 13 | 2020 |
| Towards an ethical code for data-based business M Loi, C Heitz, A Ferrario, A Schmid, M Christen 2019 6th Swiss Conference on Data Science (SDS), 6-12, 2019 | 13 | 2019 |
| The Value of Measuring Trust in AI-A Socio-Technical System Perspective M Benk, S Tolmeijer, F von Wangenheim, A Ferrario CHI 2022 Workshop on Trust and Reliance in AI-Human Teams (TRAIT), 2022 | 12 | 2022 |
| Poisson sigma model with branes and hyperelliptic Riemann surfaces A Ferrario Journal of mathematical physics 49 (9), 2008 | 11 | 2008 |
| The Meaning of'Explainability Fosters Trust in AI' A Ferrario, M Loi Available at SSRN 3916396, 2021 | 9 | 2021 |
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