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13315 Publications
2020 | Journal Article | LibreCat-ID: 21252
Traue, Arne, et al. “Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control.” IEEE Transactions on Neural Networks and Learning Systems, 2020, pp. 1–10, doi:10.1109/tnnls.2020.3029573.
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| DOI
2020 | Journal Article | LibreCat-ID: 21257
Altenhöner, Reinhard, et al. “NFDI4Culture - Consortium for Research Data on Material and Immaterial Cultural Heritage.” Research Ideas and Outcomes, 2020, doi:10.3897/rio.6.e57036.
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| DOI
2020 | Journal Article | LibreCat-ID: 20874
Sievers, Sönke, et al. “Downturn M&A: Die Erfolgsstrategie der Stunde?” M&A Review, 2020, pp. 266–71.
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2020 | Journal Article | LibreCat-ID: 21269
Ködding, Patrick, et al. “Consulting via Research in IMPRESS.” Journal of Systemics, Cybernetics and Informatics, vol. 18, no. 2, 2020, pp. 14–19.
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2020 | Conference Paper | LibreCat-ID: 13584
Szopinski, Daniel, et al. “Criteria as a Prelude for Guiding Taxonomy Evaluation.” Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS), 2020.
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2020 | Conference Paper | LibreCat-ID: 15826
Chen, Wei-Fan, et al. “Abstractive Snippet Generation.” Proceedings of the the Web Conference 2020, 2020, pp. 1309–19.
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2020 | Conference Abstract | LibreCat-ID: 15225
Poniatowski, Martin, and Jürgen Neumann. “You Write What You Are - Exploring the Relationship between Online Reviewers’ Personality Traits and Their Reviewing Behavior.” Tagungsband Der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI), 2020.
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2020 | Conference Paper | LibreCat-ID: 15629
Wever, Marcel Dominik, et al. LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification. Springer.
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2020 | Journal Article | LibreCat-ID: 15489
Claes, Leander, et al. “Estimation of Acoustic Wave Non-Linearity in Ultrasonic Measurement Systems.” ArXiv.Org, Cornell University, 2020.
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| arXiv
2020 | Journal Article | LibreCat-ID: 16273
Hoyer, Britta, et al. “Gender, Competitiveness, and Task Difficulty: Evidence from the Field.” Labour Economics, 2020, doi:10.1016/j.labeco.2020.101815.
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