Leuphana Universität Lüneburg
Organisational unit: Institution
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Predicting the impacts of human population growth on forest mammals in the highlands of southwestern Ethiopia
Rodrigues, P., Dorresteijn, I., Guilherme, J. L., Hanspach, J., De Beenhouwer, M., Hylander, K., Bekele, B., Senbeta, F., Fischer, J. & Nimmo, D., 01.04.2021, In: Biological Conservation. 256, 109046.Research output: Journal contributions › Journal articles › Research › peer-review
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Predicting the Individual Mood Level based on Diary Data
Bremer, V., Becker, D., Funk, B. & Lehr, D., 06.2017, Proceedings of the 25th European Conference on Information Systems, ECIS 2017. AIS eLibrary, p. 1161-1177 17 p. (Proceedings of the 25th European Conference on Information Systems, ECIS 2017).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis
Bremer, V., Becker, D., Kolovos, S., Funk, B., van Breda, W., Hoogendoorn, M. & Riper, H., 21.08.2018, In: Journal of Medical Internet Research. 20, 8, 11 p., e10275.Research output: Journal contributions › Journal articles › Research › peer-review
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Predicting Therapy Success For Treatment as Usual and Blended Treatment in the Domain of Depression
van Breda, W. R. J., Bremer, V., Becker, D., Funk, B., Ruwaard, J. & Riper, H., 01.06.2018, In: Internet Interventions. 12, p. 100-104 5 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Prediction of improvement in quality of life (QoL-AGHDA) in adults with growth hormone deficiency by normative reference limits: data of the German KIMS cohort
Moock, J., Friedrich, N., Völzke, H., Spielhagen, C., Nauck, M., Koltowska-Häggström, M., Buchfelder, M., Wallaschofski, H. & Kohlmann, T., 01.10.2011, In: Growth Hormone and IGF Research. 21, 5, p. 272-278 7 p.Research output: Journal contributions › Journal articles › Research
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Prediction of nanoparticle transport behavior from physicochemical properties: Machine learning provides insights to guide the next generation of transport models
Goldberg, E., Scheringer, M., Bucheli, T. D. & Hungerbühler, K., 2015, In: Environmental Sciences: Nano. 2, 4, p. 352-360 9 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Prediction of the tool change point in a polishing process using a modular software framework
Meier, N., Papadoudis, J. & Georgiadis, A., 2020, In: Procedia CIRP. 88, p. 341-345 5 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
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Predictions of entrepreneurial behavior: A personality approach
Rauch, A., 01.01.2014, Handbook of Research on Small Business and Entrepreneurship. Chell, E. & Karatas-Özkan, M. (eds.). Edward Elgar Publishing, p. 165–184 20 p.Research output: Contributions to collected editions/works › Chapter › peer-review
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Predictive Maintenance of Bearings Through IoT and Cloud-Based Systems
Meier, N., Georgiadis, A. & Sanchez, A., 03.2019, Proceedings of the 2019 International Conference on Industrial Engineering: A Regional Conference of Society for Industrial and Systems Engineering. Cordova, X., Garcia, G., Camacho, C., Vernaza, E., Fernandez, J. & Subramanian, A. (eds.). Quito, Ecuador: Society for Industrial and Systems Engineering, p. 23 1 p.Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review
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Predictive mapping of species richness and plant species' distributions of a peruvian fog oasis along an altitudinal gradient
Muenchow, J., Bräuning, A., Rodríguez, E. F. & von Wehrden, H., 09.2013, In: Biotropica. 45, 5, p. 557-566 10 p.Research output: Journal contributions › Journal articles › Research › peer-review