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2020
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Hochschule Koblenz
- Siebert, Julien; Joeckel, Lisa; Heidrich, Jens et al.
- Towards Guidelines for Assessing Qualities of Machine Learning Systems
- Quality of Information and Communications Technology. Bd. 1266. 2020 S. 17 - 31
- Kläs, Michael; Adler, Rasmus; Heidrich, Jens
- Testen im Zeitalter von KI
- Informatik Aktuell. online. 2020
- Hellebrandt, Thomas; Ohlig, Jasmin; Poetters, Patrick et al.
- Integrated Human-Centered Performance Management on the Shop Floor
- Kantola J., Nazir S., Salminen V. (Hrsg). Advances in Human Factors, Business Management and Leadership : AHFE 2020 ; Advances in Intelligent Systems and Computing. Cham: Springer 2020 S. 584 - 591 (1209)
- Jung, Patrick; Mikhailyuk, Tatiana; Emrich, Dina et al.
- Shifting Boundaries: Ecological and Geographical Range extension Based on Three New Species in the Cyanobacterial Genera Cyanocohniella, Oculatella, and Aliterella
- Journal of Phycology. Bd. 56. H. 5. Wiley 2020 S. 1216 - 1231
- Ahrbeck, Bernd; Felder, Marion
- Die klassische Familie wird zum Ausnahmefall
- Frankfurter Allgemeine : Zeitung für Deutschland. o. A. 2020
- Luck, Susan; Swartz, Stephanie
- The textbook didn't mention that: An intercultural experiential exercise in business communication.
- Management Teaching Review. Bd. 5. H. 3. 2020 S. 231 - 245
- Hedderich, Dennis M.; Boeckh-Behrens, Tobias; Bäuml, Josef G. et al.
- Sequelae of Premature Birth in Young Adults
- Clinical neuroradiology : official publication of the German, Austrian and Swiss societies of neuroradiology. Bd. 31. H. 2. Springer 2020 S. 325 - 333
- Weber, I.; Bongartz, J.; Roscher, R.
- Learning with Real-World and Artificial Data for Improved Vehicle Detection in Aerial Imagery
- ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. V-2-2020. Katlenburg-Lindau: Copernicus 2020 S. 917 - 924
- Schüßler, Werner
- Dynamik des Glaubens (Dynamics of Faith)
- Berlin; Boston: De Gruyter 2020 201 S.
- Acosta, Ruth; Wu, Haoran; Sridaran Venkat, Ramanan et al.
- SteBLife, a New Approach for the Accelerated Generation of Metallic Materials’ Fatigue Data
- Metals. Bd. 10. H. 6. Basel: MDPI AG 2020 S. 798