Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations von Mohajerin Esfahani, Peyman, Kuhn, Daniel

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Distributionally Robust Convex Optimization von Wiesemann, Wolfram, Kuhn, Daniel, Sim, Melvyn

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Primal and dual linear decision rules in stochastic and robust optimization von Kuhn, Daniel, Wiesemann, Wolfram, Georghiou, Angelos

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DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment von VOLKAMER, Andrea, KUHN, Daniel, RIPPMANN, Friedrich, RAREY, Matthias

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Combining Global and Local Measures for Structure-Based Druggability Predictions von Volkamer, Andrea, Kuhn, Daniel, Grombacher, Thomas, Rippmann, Friedrich, Rarey, Matthias

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From Data to Decisions: Distributionally Robust Optimization Is Optimal von Van Parys, Bart P. G., Esfahani, Peyman Mohajerin, Kuhn, Daniel

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Worst-Case Value at Risk of Nonlinear Portfolios von Zymler, Steve, Kuhn, Daniel, Rustem, Berç

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Generalized Bounds for Convex Multistage Stochastic Programs von Beckmann, M, Basile, A, Dawid, H, Drexl, A, Fandel, G, Inderfurth, K, Kü, W, Künzi, H. P, Trockel, W

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Effects of Concurrent Training on Resuscitation and Cognitive Performance in Paramedics-A Pilot Study von Brandt, Tom, Schittenhelm, Andrea, Kuhn Botelho, Daniel, Müller, Tim, Schmidt, Annette

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Practical guidelines for the use of gradient boosting for molecular property prediction von Boldini, Davide, Grisoni, Francesca, Kuhn, Daniel, Friedrich, Lukas, Sieber, Stephan A.

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A New Method to Detect Related Function Among Proteins Independent of Sequence and Fold Homology von Schmitt, Stefan, Kuhn, Daniel, Klebe, Gerhard

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Tuning gradient boosting for imbalanced bioassay modelling with custom loss functions von Boldini, Davide, Friedrich, Lukas, Kuhn, Daniel, Sieber, Stephan A.

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Degradation of micropollutant cephalexin by ultraviolet (UV) and assessment of residual antimicrobial activity of transformation products von Cordeiro, Sabrina Grando, Ziem, Rafaela, Schweizer, Ytan Andreine, Costa, Bruna, Kuhn, Daniel, Haas, Peterson, Weber, Ani Caroline, Heidrich, Daiane, Ethur, Eduardo Miranda, Steffens, Clarice, Hoehne, Lucélia

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Machine Learning Assisted Hit Prioritization for High Throughput Screening in Drug Discovery von Boldini, Davide, Friedrich, Lukas, Kuhn, Daniel, Sieber, Stephan A.

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Unexpected Nanomolar Inhibition of Carbonic Anhydrase by COX-2-Selective Celecoxib:  New Pharmacological Opportunities Due to Related Binding Site Recognition von Weber, Alexander, Casini, Angela, Heine, Andreas, Kuhn, Daniel, Supuran, Claudiu T, Scozzafava, Andrea, Klebe, Gerhard

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Valuation of electricity swing options by multistage stochastic programming von Haarbrücker, Gido, Kuhn, Daniel

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A Comparison of Three Methods of Measuring Dementia-Specific Quality of Life: Perspectives of Residents, Staff, and Observers von Edelman, Perry, Fulton, Bradley R., Kuhn, Daniel, Chang, Chih-Hung

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Technical Note—Data-Driven Chance Constrained Programs over Wasserstein Balls von Chen, Zhi, Kuhn, Daniel, Wiesemann, Wolfram

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Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls von Hanasusanto, Grani A., Kuhn, Daniel

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Adsorption of Emerging Pollutant by Pecan Shell-Based Biosorbent von Cordeiro, Sabrina Grando, Weber, Ani Caroline, Costa, Bruna, Dahmer, Bruno Rampanelli, Kuhn, Daniel, Ethur, Eduardo Miranda, Corbellini, Valeriano Antonio, Hoehne, Lucélia

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