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| Erscheinungsdatum | Titel | Beteiligte Person(en) |
| 2019 | Detecting prolonged sitting bouts with the ActiGraph GT3X | Kuster, Roman; Grooten, Wilhelmus J. A.; Baumgartner, Daniel; Blom, Victoria; Hagströmer, Maria, et al. |
| 20-Okt-2023 | Digital marker for early screening of mild cognitive impairment through hand and eye movement analysis in virtual reality using machine learning : first validation study | Kim, Se Young; Park, Jinseok; Choi, Hojin; Loeser, Martin; Ryu, Hokyoung, et al. |
| 2019 | Digitales Toolkit BWL-Studierende : Emerging Technologies virtualisiert | Seiler, Roger; Koruna, Stefan |
| 9-Aug-2020 | Don’t click : towards an effective anti-phishing training. A comparative literature review | Jampen, Daniel; Gür, Gürkan; Sutter, Thomas; Tellenbach, Bernhard |
| 2020 | Dual oxygen and temperature luminescence learning sensor with parallel inference | Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael |
| 1-Apr-2020 | Dual oxygen and temperature sensing with single indicator using multi-task-learning neural networks | Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael |
| Jul-2020 | Early fault detection based on wind turbine SCADA data using convolutional neural networks | Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Manninen, Jaakko; Goren Huber, Lilach |
| 9-Sep-2022 | Editorial: Artificial intelligence in finance and industry: highlights from 6 European COST conferences | Henrici, Andreas; Osterrieder, Jörg |
| 2023 | EEG-based brain-computer interfaces are vulnerable to backdoor attacks | Meng, Lubin; Jiang, Xue; Huang, Jian; Zeng, Zhigang; Yu, Shan, et al. |
| 15-Jun-2021 | Employing explainable AI to optimize the return target function of a loan portfolio | Gramespacher, Thomas; Posth, Jan-Alexander |
| 2022 | Enforcing group fairness in algorithmic decision making : utility maximization under sufficiency | Baumann, Joachim; Hannák, Anikó; Heitz, Christoph |
| 8-Apr-2024 | Enhancing portfolio management using artificial intelligence : literature review | Sutiene, Kristina; Schwendner, Peter; Sipos, Ciprian; Lorenzo, Luis; Mirchev, Miroslav, et al. |
| Mär-2020 | Entity matching with transformer architectures - a step forward in data integration | Brunner, Ursin; Stockinger, Kurt |
| 2021 | Estimating neural network’s performance with bootstrap : a tutorial | Michelucci, Umberto; Venturini, Francesca |
| 2023 | Evaluating XAI algorithms in skin cancer classification : a path towards trustworthy AI systems | Reif, Monika Ulrike; Hochberg, Alan; Homa, Celina |
| Mär-2022 | Evaluation of algorithms for interaction-sparse recommendations : neural networks don’t always win | Klingler, Yasamin; Lehmann, Claude; Monteiro, Joao Pedro; Saladin, Carlo; Bernstein, Abraham, et al. |
| 23-Jun-2020 | Examining redundancy in the context of safe machine learning | Doran, Hans Dermot; Reif, Monika Ulrike |
| Jan-2023 | Experimental evaluation of quantum machine learning algorithms | Monteiro Simoes, Ricardo Daniel; Huber, Patrick; Meier, Nicola; Smailov, Nikita; Füchslin, Rudolf M., et al. |
| 6-Mai-2021 | Exploration of Spanish olive oil quality with a miniaturized low-cost fluorescence sensor and machine learning techniques | Venturini, Francesca; Sperti, Michela; Michelucci, Umberto; Herzig, Ivo; Baumgartner, Michael, et al. |
| Jul-2022 | Extraction of physicochemical properties from the fluorescence spectrum with 1D convolutional neural networks : application to olive oil | Venturini, Francesca; Sperti, Michela; Michelucci, Umberto; Gucciardi, Arnaud; Martos, Vanessa M., et al. |
