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Mathematik für Wirtschaftsinformatiker & Übungen
Hoffmann, U., 2005, Lüneburg: Universität Lüneburg, 242 p. (FINAL - Forum Informatics at Lüneburg; vol. 15, no. 1).
Research output: Working paper › Working papers
Published
Mathematik für Wirtschaftsinformatiker und Informatiker: [& Übungen]
Hoffmann, U., 2007, Lüneburg: Universität Lüneburg, 346 p. (Final; vol. 23, no. 1).
Research output: Working paper › Working papers
Published
Multi-Agent Path Finding with Kinematic Constraints for Robotic Mobile Fulfillment Systems
Merschformann, M., Xie, L. & Erdman, D., 2018, arXiv, 38 p. (ArXiv.org).
Research output: Working paper › Working papers
Published
Multilayer neural networks
Jacobs, J., 01.2004, Lüneburg: Universität Lüneburg, 19 p. (Final; vol. 14, no. 1).
Research output: Working paper › Working papers
Published
Prolog und relationale Datenbanken als Grundlagen zur Implementierung einer NF2-Datenbank
Riebesehl, D., 11.1996, Lüneburg: Universität Lüneburg, 121 p. (Final; vol. 6, no. 5).
Research output: Working paper › Working papers
Published
Strukturanalogien in Datenmodellen
Riebesehl, D., 2006, Lüneburg: Universität Lüneburg, Fakultät III, Umwelt und Technik, 92 p. (Final; vol. 16, no. 3).
Research output: Working paper › Working papers
Published
Systemanalyse für Softwaresysteme
Bonin, H. E. G., 10.08.2006, Lüneburg: Universität Lüneburg, 199 p. (Final; vol. 16, no. 1).
Research output: Working paper › Working papers
Published
Übungen mit Lösungen zur Mathematik für Wirtschaftsinformatik
Hoffmann, U., 2013, überarb. Fassung 2013 ed., Lüneburg: Universität Lüneburg, 104 p. (FINAL; vol. 23, no. 2).
Research output: Working paper › Working papers
Published
Datengetriebene Agilität: Auf der Erfolgsspur zur Digitalen Exzellenz
Böhmann, T., Drews, P. & Zolnowski, A., 2016, Hamburg: Sopra Steria Consulting, 40 p.
Research output: Working paper › Project reports › Transfer
Published
Digitale Exzellenz: Eine Bestandsaufnahme zur Digitalisierung deutscher Unternehmen und Behörden
Böhmann, T., Drews, P. & Meyer-Blankart, C., 07.2015, Hamburg: Sopra Steria Consulting, 56 p.
Research output: Working paper › Project reports › Transfer
Data-Driven flood detection using neural networks
Nogueira, K., Fadel, S. G., Dourado, I. C., De Werneck, R. O., Munoz, J. A., Penatti, O. A. B., Calumby, R. T., Li, L. T., Santos, J. A. D. & Torres, R. D. S., 2017, In: CEUR Workshop Proceedings. 1984, 3 p.
Research output: Journal contributions › Conference article in journal › Research › peer-review
Published
Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions: Machine Learning Approach
Bremer, V., Chow, P., Funk, B., Thorndike, F. P. & Ritterband, L. M., 28.10.2020, In: Journal of Medical Internet Research. 22, 10, 20 p., e17738.
Research output: Journal contributions › Conference article in journal › Research › peer-review
Published
Evaluating OWL 2 reasoners in the context of checking entity-relationship diagrams during software development
Kropotin, A. A., 2014, In: CEUR Workshop Proceedings. 1207, p. 44-50 7 p.
Research output: Journal contributions › Conference article in journal › Research › peer-review
Published
Feature Extraction and Aggregation for Predicting the Euro 2016
Tavakol, M., Zafartavanaelmi, H. & Brefeld, U., 09.2016, In: CEUR Workshop Proceedings. 1842, 1842, 7 p.
Research output: Journal contributions › Conference article in journal › Research › peer-review
Published
Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
Rudolph, Y., Brefeld, U. & Dick, U., 2020, In: Proceedings of Machine Learning Research. 137, p. 136-147 12 p.
Research output: Journal contributions › Conference article in journal › Research › peer-review
Published
Modeling Conditional Dependencies in Multiagent Trajectories
Rudolph, Y. & Brefeld, U., 2022, In: Proceedings of Machine Learning Research. 151, p. 10518-10533 16 p.
Research output: Journal contributions › Conference article in journal › Research › peer-review
Published
Nmap: A novel neighborhood preservation space-filling algorithm
Duarte, F. S. L. G., Sikansi, F., Fatore, F. M., Fadel, S. G. & Paulovich, F. V., 31.12.2014, In: IEEE Transactions on Visualization and Computer Graphics. 20, 12, p. 2063-2071 9 p., 6876012.
Research output: Journal contributions › Conference article in journal › Research › peer-review
Sentiment, we-talk and engagement on social media: insights from Twitter data mining on the US presidential elections 2020
Hagemann, L. & Abramova, O., 27.11.2023, In: Internet Research. 33, 6, p. 2058-2085 28 p.
Research output: Journal contributions › Conference article in journal › Research › peer-review
Support vector machines with example dependent costs
Brefeld, U., Geibel, P. & Wysotzki, F., 01.01.2003, In: Lecture Notes in Computer Science. 2837, p. 23-34 12 p.
Research output: Journal contributions › Conference article in journal › Research › peer-review
Published
Comparing two hybrid neural network models to predict real-world bus travel time
Nimpanomprasert, T., Xie, L. & Kliewer, N., 01.01.2022, In: Transportation Research Procedia. 62, p. 393-400 8 p.
Research output: Journal contributions › Conference article in journal › Research

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