M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles,”10.1609/aaai.v38i13.29352__Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 13, pp. 14388–14396, 2024, doi:10.1609/aaai.v38i13.29352 .
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DOI: 10.1609/aaai.v38i13.29352

A. Amiri, M. Tavana, and H. Arman, “An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction,”10.1016/j.iot.2023.101027__Internet of Things, vol. 25, Art. no. 101027, 2024, doi:10.1016/j.iot.2023.101027 .
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I. Habernal et al., “Mining legal arguments in court decisions,”10.1007/s10506-023-09361-y__Artificial Intelligence and Law, 2023, doi:10.1007/s10506-023-09361-y .
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DOI: 10.1007/s10506-023-09361-y

F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “Incremental permutation feature importance (iPFI): towards online explanations on data streams,”10.1007/s10994-023-06385-y__Machine Learning, 2023, doi:10.1007/s10994-023-06385-y .
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DOI: 10.1007/s10994-023-06385-y

A. Artelt, R. Visser, and B. Hammer, “‘I do not know! but why?’ — Local model-agnostic example-based explanations of reject,”10.1016/j.neucom.2023.126722__Neurocomputing, vol. 558, Art. no. 126722, 2023, doi:10.1016/j.neucom.2023.126722 .
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J. A. Hoppe et al., “When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty,”10.1016/j.chbr.2022.100258__Computers in Human Behavior Reports, vol. 9, Art. no. 100258, 2023, doi:10.1016/j.chbr.2022.100258 .
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A. Groß, C. Schütze, M. Brandt, B. Wrede, and B. Richter, “RISE: an open-source architecture for interdisciplinary and reproducible human–robot interaction research,”10.3389/frobt.2023.1245501__Frontiers in Robotics and AI, vol. 10, 2023, doi:10.3389/frobt.2023.1245501 .
LibreCat: /record/49516
DOI: 10.3389/frobt.2023.1245501

D. Leffrang, “AI Washing: The Framing Effect of Labels on Algorithmic Advice Utilization,” in International Conference on Information Systems, Hyderabad, India, 2023, no. 10.
LibreCat: /record/50121

F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “Incremental permutation feature importance (iPFI): towards online explanations on data streams,”10.1007/s10994-023-06385-y__Machine Learning, vol. 112, no. 12, pp. 4863–4903, 2023, doi:10.1007/s10994-023-06385-y .
LibreCat: /record/50262
DOI: 10.1007/s10994-023-06385-y

S. Vieluf, T. Hasija, M. Kuschel, C. Reinsberger, and T. Loddenkemper, “Developing a deep canonical correlation-based technique for seizure prediction,”10.1016/j.eswa.2023.120986__Expert Systems with Applications, vol. 234, Art. no. 120986, 2023, doi:10.1016/j.eswa.2023.120986 .
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M. Tavana, A. Khalili Nasr, A. B. Ahmadabadi, A. S. Amiri, and H. Mina, “An interval multi-criteria decision-making model for evaluating blockchain-IoT technology in supply chain networks,”10.1016/j.iot.2023.100786__Internet of Things, vol. 22, Art. no. 100786, 2023, doi:10.1016/j.iot.2023.100786 .
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DOI: 10.1016/j.iot.2023.100786

M. Tavana, M. Soltanifar, F. J. Santos-Arteaga, and H. Sharafi, “Analytic hierarchy process and data envelopment analysis: A match made in heaven,”10.1016/j.eswa.2023.119902__Expert Systems with Applications, vol. 223, Art. no. 119902, 2023, doi:10.1016/j.eswa.2023.119902 .
LibreCat: /record/53218
DOI: 10.1016/j.eswa.2023.119902

F. J. Santos-Arteaga, D. Di Caprio, M. Tavana, and E. C. Tena, “A Credibility and Strategic Behavior Approach in Hesitant Multiple Criteria Decision-Making With Application to Sustainable Transportation,”10.1109/tfuzz.2022.3188875__IEEE Transactions on Fuzzy Systems, vol. 31, no. 2, pp. 460–474, 2023, doi:10.1109/tfuzz.2022.3188875 .
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DOI: 10.1109/tfuzz.2022.3188875

E. B. Tirkolaee, A. E. Torkayesh, M. Tavana, A. Goli, V. Simic, and W. Ding, “An integrated decision support framework for resilient vaccine supply chain network design,”10.1016/j.engappai.2023.106945__Engineering Applications of Artificial Intelligence, vol. 126, Art. no. 106945, 2023, doi:10.1016/j.engappai.2023.106945 .
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H. A. Mahdiraji, M. Tavana, and A. Rezayar, “A Game-Theoretic Framework for Analyzing the Impact of Social Responsibility and Supply Chain Profitability,”10.1080/01969722.2022.2055402__Cybernetics and Systems, vol. 54, no. 1, pp. 104–137, 2023, doi:10.1080/01969722.2022.2055402 .
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DOI: 10.1080/01969722.2022.2055402

J.-P. Kucklick, “Visual Interpretability of Image-based Real Estate Appraisal,” presented at the Hawaii International Conference on System Science (HICSS), Virtual, 2022.
LibreCat: /record/27506

J.-P. Kucklick, “Towards a model- and data-focused taxonomy of XAI systems,” presented at the Wirtschaftsinformatik 2022 (W), Nürnberg (online), 2022.
LibreCat: /record/29539

M. Meyer, T. Fichtler, C. Koldewey, and R. Dumitrescu, “Potentials and challenges of analyzing use phase data in product planning of manufacturing companies,”10.1017/s0890060421000408__Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 36, Art. no. e14, 2022, doi:10.1017/s0890060421000408 .
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DOI: 10.1017/s0890060421000408

C. Hoffmann and K. Thommes, “Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers’ Use of Cruise Control,”10.1109/thms.2022.3212335__IEEE Transactions on Human-Machine Systems, pp. 1–11, 2022, doi:10.1109/thms.2022.3212335 .
LibreCat: /record/34046
DOI: 10.1109/thms.2022.3212335

K. Rohlfing et al., “Social/dialogical roles of social robots in supporting children’s learning of language and literacy—A review and analysis of innovative roles,”10.3389/frobt.2022.971749__Frontiers in Robotics and AI, vol. 9, 2022, doi:10.3389/frobt.2022.971749 .
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DOI: 10.3389/frobt.2022.971749