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Published
On the impact of network size and average degree on the robustness of centrality measures
Martin, C. & Niemeyer, P., 20.10.2021, In: Network Science. 9, S1, p. S61-S82 22 p.
Research output: Journal contributions › Journal articles › Research › peer-review
Optimierter Fahrereinsatz: Einsatzplanung im ÖPV mit Operations-Research-Methoden
Xie, L., Kliewer, N. & Suhl, L., 2014, In: OR news. 51, 50, p. 8-10 3 p.
Research output: Journal contributions › Journal articles › Research › peer-review
Published
Optimizing eating disorder treatment outcomes for individuals identified via screening: An idea worth researching
Taylor, C. B., Graham, A. K., Fitzsimmons-Craft, E. E., Sadeh-Sharvit, S., Balantekin, K. N., Flatt, R. E., Goel, N. J., Monterubio, G. E., Topooco, N., Karam, A. M., Firebaugh, M-L., Ruzek, J. I., Funk, B., Oldenburg, B., Wilfley, D. E. & Jacobi, C., 01.11.2019, In: The International journal of eating disorders. 52, 11, p. 1224-1228 5 p.
Research output: Journal contributions › Journal articles › Research › peer-review
Perceptron and SVM learning with generalized cost models
Geibel, P., Brefeld, U. & Wysotzki, F., 2004, In: Intelligent Data Analysis. 8, 5, p. 439-455 17 p.
Research output: Journal contributions › Journal articles › Research › peer-review
Performance predictors for graphics processing units applied to dark-silicon-aware design space exploration
Sonohata, R., Arigoni, D. C. A., Fernandes, E. R., Ribeiro dos Santos, R. & Dessandre Duenha, L., 01.08.2023, In: Concurrency and Computation: Practice and Experience. 35, 17, 16 p., e6877.
Research output: Journal contributions › Journal articles › Research › peer-review
Published
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
Published
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
Published
Preliminary data on help‐seeking intentions and behaviors of individuals completing a widely available online screen for eating disorders in the United States
Fitzsimmons-Craft, E. E., Balantekin, K. N., Graham, A. K., DePietro, B., Laing, O., Firebaugh, M-L., Smolar, L., Park, D., Mysko, C., Funk, B., Taylor, C. B. & Wilfley, D. E., 01.09.2020, In: The International journal of eating disorders. 53, 9, p. 1556-1562 7 p.
Research output: Journal contributions › Journal articles › Research › peer-review
Published
Probabilistic movement models and zones of control
Brefeld, U., Lasek, J. & Mair, S., 15.01.2019, In: Machine Learning. 108, 1, p. 127-147 21 p.
Research output: Journal contributions › Journal articles › Research › peer-review
PyFin-sentiment: Towards a machine-learning-based model for deriving sentiment from financial tweets
Wilksch, M. & Abramova, O., 01.04.2023, In: International Journal of Information Management Data Insights. 3, 1, 10 p., 100171.
Research output: Journal contributions › Journal articles › Research › peer-review
Published
Rating Player Actions in Soccer
Dick, U., Tavakol, M. & Brefeld, U., 15.07.2021, In: Frontiers in Sports and Active Living. 3, 14 p., 682986.
Research output: Journal contributions › Journal articles › Research › peer-review
Published
Real-Time Advertising
Stange, M. & Funk, B., 10.2014, In: Business and Information Systems Engineering. 6, 5, p. 305-308 4 p.
Research output: Journal contributions › Journal articles › Research › peer-review
Published
Real-Time-Advertising
Stange, M. & Funk, B., 2014, In: Wirtschaftsinformatik. 56, 5, p. 335-338 4 p.
Research output: Journal contributions › Journal articles › Research › peer-review
RelHunter: A machine learning method for relation extraction from text
Fernandes, E. R., Milidiú, R. L. & Rentería, R. P., 09.2010, In: Journal of the Brazilian Computer Society. 16, 3, p. 191-199 9 p., 18.
Research output: Journal contributions › Journal articles › Research › peer-review
Published
Responsible Artificial Intelligence Systems: Critical Considerations for Business Model Design
Zimmer, M. P., Minkkinen, M. & Mäntymäki, M., 31.12.2022, In: Scandinavian Journal of Information Systems. 34, 2, p. 113-162 50 p., 4.
Research output: Journal contributions › Journal articles › Research › peer-review
Accepted/In press
Revisiting the richness of integrated vehicle and crew scheduling
Ge, L., Kliewer, N., Nourmohammadzadeh, A., Voß, S. & Xie, L., 2022, (Accepted/In press) In: Public Transport. 27 p.
Research output: Journal contributions › Journal articles › Research › peer-review
Published
Robustness and disturbances in public transport
Ge, L., Voss, S. & Xie, L., 04.03.2022, In: Public Transport. 14, 1, p. 191-261 71 p.
Research output: Journal contributions › Journal articles › Research › peer-review
Published
Schuhhaus Görtz: Blended Learning für die Modetrends von morgen
Groß, M. & Hentschel, M., 2011, In: Wissensmanagement. 13, 2, p. 14-15 2 p., 1848-02-2011.
Research output: Journal contributions › Journal articles › Research › peer-review
Published
Sensor Measures of Affective Leaning
Martens, T., Niemann, M. & Dick, U., 30.04.2020, In: Frontiers in Psychology. 11, 10 p., 379.
Research output: Journal contributions › Journal articles › Research › peer-review
Published
Separable models for interconnected production-inventory systems
Otten, S., Krenzler, R. & Daduna, H., 02.01.2020, In: Stochastic Models. 36, 1, p. 48-93 46 p.
Research output: Journal contributions › Journal articles › Research › peer-review

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