| DEAL: Deep evidential active learning for image classification P Hemmer, N Kuehl, J Schoeffer IEEE ICMLA '20, 2020 | 40 | 2020 |
| "There is not enough information": On the effects of explanations on perceptions of informational fairness and trustworthiness in automated decision-making J Schoeffer, N Kuehl, Y Machowski ACM FAccT '22, 2022 | 26 | 2022 |
| A study on fairness and trust perceptions in automated decision making J Schoeffer, Y Machowski, N Kuehl TExSS Workshop @ ACM IUI '21, 2021 | 20 | 2021 |
| Detecting concept drift with neural network model uncertainty L Baier, T Schloer, J Schoeffer, N Kuehl HICSS '23, 2023 | 18 | 2023 |
| Appropriate fairness perceptions? On the effectiveness of explanations in enabling people to assess the fairness of automated decision systems J Schoeffer, N Kuehl ACM CSCW '21 Companion, 2021 | 15 | 2021 |
| Perceptions of fairness and trustworthiness based on explanations in human vs. automated decision-making J Schoeffer, Y Machowski, N Kuehl HICSS '22, 2022 | 10 | 2022 |
| A ranking approach to fair classification J Schoeffer, N Kuehl, I Valera ACM COMPASS '21, 2021 | 7 | 2021 |
| On explanations, fairness, and appropriate reliance in human-AI decision-making J Schoeffer, M De-Arteaga, N Kuehl TRAIT Workshop @ ACM CHI '23, 2023 | 6 | 2023 |
| An empirical evaluation of predicted outcomes as explanations in human-AI decision-making J Jakubik, J Schoeffer, V Hoge, M Voessing, N Kuehl XKDD Workshop @ ECML PKDD '22, 2022 | 6 | 2022 |
| On the relationship between explanations, fairness perceptions, and decisions J Schoeffer, M De-Arteaga, N Kuehl HCXAI Workshop @ ACM CHI '22, 2022 | 5 | 2022 |
| Utilizing active machine learning for quality assurance: A case study of virtual car renderings in the automotive industry P Hemmer, N Kuehl, J Schoeffer HICSS '22, 2022 | 5 | 2022 |
| On the interdependence of reliance behavior and accuracy in AI-assisted decision-making J Schoeffer, J Jakubik, M Voessing, N Kuehl, G Satzger 🏆 HHAI '23, 2023 | 1 | 2023 |
| Online platforms and the fair exposure problem under homophily J Schoeffer, A Ritchie, K Naggita, F Monachou, J Finocchiaro, M Juarez AAAI '23, 2023 | 1 | 2023 |
| A human-centric perspective on fairness and transparency in algorithmic decision-making J Schoeffer ACM CHI '22 Extended Abstracts, 2022 | 1 | 2022 |
| A critical survey on fairness benefits of XAI L Deck, J Schoeffer, M De-Arteaga, N Kuehl XAIA Workshop @ NeurIPS '23, 2023 | | 2023 |
Niklas KühlUniversity of BayreuthVerified email at uni-bayreuth.de
