Publikationen
2019
Becker, D. (2019). Possibilities to improve online mental health treatment: Recommendations for future research and developments. in K. Arai, S. Kapoor, & R. Bhatia (Hrsg.), Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1 (S. 91-112). (Advances in Intelligent Systems and Computing; Band 886). Springer Verlag. DOI:
DOI Eintrag in FOX aufrufenBrefeld, U., Curry, E., Daly, E., MacNamee, B., Marascu, A., Pinelli, F., ... Hurley, N. (2019). Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part III. (Lecture Notes in Computer Science; Band 11053). Springer.
Eintrag in FOX aufrufen2019
Bremer, V. , Becker, D., Genz, T., Funk, B. , & Lehr, D. (2019). A two-step approach for the prediction of mood levels based on diary data. in U. Brefeld, E. Curry, E. Daly, B. MacNamee, A. Marascu, F. Pinelli, M. Berlingerio, ... N. Hurley (Hrsg.), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland (S. 626-629). (Lecture Notes in Computer Science (LNCS); Nr. 11053). Cham: Springer International Publishing. DOI:
DOI Eintrag in FOX aufrufenBremer, V. , Funk, B., & Riper, H. (2019). Heterogeneity Matters: Predicting Self-Esteem in Online Interventions Based on Ecological Momentary Assessment Data. Depression Research and Treatment, 2019, [3481624]. DOI:
DOI Eintrag in FOX aufrufenBurmeister, F., Drews, P., & Schirmer, I. (2019). A Privacy-driven Enterprise Architecture Meta-Model for Supporting Compliance with the General Data Protection Regulation. in Proceedings of the 52nd Hawaii International Conference on System Sciences (S. 6052-6061). Honolulu: University of Hawaiʻi at Mānoa.
PDF Eintrag in FOX aufrufenGebken, L., Drews, P., & Schirmer, I. (2019). Enhancing the Building Information Modeling Lifecycle of Complex Structures with IoT: Phases, Capabilities and Use Cases. in Proceedings of the 52nd Hawaii International Conference on System Sciences (S. 5929-5938). Honolulu: University of Hawaiʻi at Mānoa.
PDF Eintrag in FOX aufrufenMair, S., Rudolph, Y., Closius, V., & Brefeld, U. (2019). Frame-based Optimal Design. in M. Berlingerio, F. Bonchi, T. Gärtner, N. Hurley, & G. Ifrim (Hrsg.), Machine learning and knowledge discovery in databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018: proceedings (Band 2, S. 447-463). (Lecture Notes in Computer Science; Band 11052). Cham: Springer Nature. DOI:
DOI Eintrag in FOX aufrufen2018
Becker, D., van Breda, W., Funk, B., Hoogendoorn, M., Ruwaard, J., & Riper, H. (2018). Predictive modeling in e-mental health: A common language framework. Internet Interventions, 12(Juni 2018), 57-67. DOI:
DOI Eintrag in FOX aufrufenBengs, D., Brefeld, U., & Kröhne, U. (2018). Concurrent Adaptive Tests for Formative Assessments in School Classes. in Proceedings of the European Congress of Methodology
Eintrag in FOX aufrufenBengs, D., Brefeld, U., & Kröhne, U. (2018). Adaptive Item Selection Under Matroid Constraints. Journal of Computerized Adaptive Testing, 6(2), 15-36. DOI:
DOI Eintrag in FOX aufrufenBoubekki, A., Jain, S., & Brefeld, U. (2018). Mining User Trajectories in Electronic Text Books. in Educational Data Mining International Educational Data Mining Society.
Eintrag in FOX aufrufenBrefeld, U., Lasek, J., & Mair, S. (2018). Probabilistic Movement Models and Zones of Control. Machine Learning, 108(1), 127-147. DOI:
DOI Eintrag in FOX aufrufenBrefeld, U., Davis, J., Van Haaren, J., & Zimmermann, A. (2018). Proceedings of the 5th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2018), Dublin, Ireland, September 10th, 2018. CEUR-WS.org.
Eintrag in FOX aufrufen2018
Bremer, V. , Funk, B. , & Lehr, D. (2018). Investigating Factors on R estorative Sleep Quality and its Relationship with Personal Work Performance - An Analysis of Diary Data. DOI:
DOI Eintrag in FOX aufrufenBremer, V. , Becker, D., Kolovos, S., Funk, B., van Breda, W., Hoogendoorn, M., & Riper, H. (2018). Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis. Journal of Medical Internet Research, 20(8), [e10275]. DOI:
DOI Eintrag in FOX aufrufenBurmeister, F., Drews, P., & Schirmer, I. (2018). Towards an Extended Enterprise Architecture Meta-Model for Big Data: A Literature-based Approach. in Proceedings of the 24th Americas Conference on Information Systems AMCIS 2018 Association for Information Systems.
Eintrag in FOX aufrufenDaduna, H., Krenzler, R., Ritter, R., & Stoyan, D. (2018). Heuristic approximation and computational algorithms for closed networks: A case study in open-pit mining. Performance Evaluation, 119, 5-26. DOI:
DOI Eintrag in FOX aufrufenDick, U. , & Brefeld, U. (2018). Learning to rate player actions in multi-agent scenarios. in Proceedings of the 1st Northern Lights Deep Learning Workshop
Eintrag in FOX aufrufenDrews, P. , Funk, B. , Niemeyer, P. , & Xie, L. (Hrsg.) (2018). Multikonferenz Wirtschaftsinformatik 2018: Data driven X — Turning Data into Value. Lüneburg: Institut für Wirtschaftsinformatik.
Eintrag in FOX aufrufen2018
Ebert, D. D., Kählke, F., Buntrock, C., Berking, M., Smit, F., Heber, E., ... Lehr, D. (2018). A health economic outcome evaluation of an internet-based mobile-supported stress management intervention for employees. Scandinavian Journal of Work, Environment and Health, 44(2), 171-182. DOI:
DOI Eintrag in FOX aufrufenWeitere Publikationen im Forschungsindex (FOX)
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06.12.2018
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