Publikationen 1 bis 10 von 30 EinträgenZschech, Patrick; Horn, Richard; Höschele, Daniel; Janiesch, Christian; Heinrich, Kai: Intelligent User Assistance for Automated Data Mining Method Selection. In: Business & Information Systems Engineering 62 (2020), Nr. 3Heinrich, Kai; Zschech, Patrick; Janiesch, Christian; Bonin, Markus: Ein Vergleich aktueller Deep-Learning-Architekturen zur Prognose von Prozessverhalten. In: Tagungsband 15. Internationale Tagung Wirtschaftsinformatik (WI) (2020)Heinrich, Kai; Roth, Andreas; Breithaupt, Lukas; Möller, Björn; Maresch, Johannes: Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting. In: In: 14. Internationale Tagung Wirtschaftsinformatik (WI) (2019) (2019)Könning, Michael; Heinrich, Kai; Leyh, Christian; Westner, Markus: A quantitative analysis of culture-induced differences in pivotal IT outsourcing contract features. In: Proceedings of the 27th European Conference on Information Systems (ECIS) (2019)Zschech, Patrick; Bernien, Jonas; Heinrich, Kai: Towards a Taxonomic Benchmarking Framework for Predictive Maintenance: The Case of NASA’s Turbofan Degradation. In: Proceedings of the 40th International Conference on Information Systems (ICIS) (2019)Heinrich, Kai; Möller, Björn; Janiesch, Christian; Zschech, Patrick: Is Bigger Always Better? Lessons Learnt from the Evolution of Deep Learning Architectures for Image Classification. In: 2019 Pre-ICIS SIGDSA Symposium (2019)Zschech, Patrick; Heinrich, Kai; Bink, Raphael; Neufeld, Janis Sebastian: Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine Learning. In: Business & Information Systems Engineering 61 (2019), Nr. 3, S. 327–343Heinrich, Kai; Zschech, Patrick; Skouti, Tarek; Griebenow, Jakob; Riechert, Sebastian: Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems. In: Proceedings of the 25th Americas Conference on Information System (AMCIS) (2019)Zschech, Patrick; Heinrich, Kai; Horn, Richard; Höschele, Daniel: Towards a Text-based Recommender System for Data Mining Method Selection. In: Proceedings of the 25th Americas Conference on Information System (AMCIS) (2019)Heinrich, Kai; Roth, Andreas; Zschech, Patrick: Everything Counts: A Taxonomy of Deep Learning Approaches for Object Counting. In: Proceedings of the 27th European Conference on Information Systems (ECIS) (2019) 1 2 3 WeiterDiese Informationen werden vom Vorgängersystem FIS bereitgestellt.