Halfpap, S., Schlosser, R.: Memory-Efficient Database Fragment Allocation for Robust Load Balancing when Nodes Fail.ICDE 2021. pp. 1-6 (2021).
Richly, K., Schlosser, R., Brauer, J.: Enabling Risk-averse Dispatch Processes for Transportation Network Companies by Probabilistic Location Prediction.Communications in Computer and Information Science, Springer.1-23 (2021).
Richly, K., Schlosser, R., Boissier, M.: Joint Index, Sorting, and Compression Optimization for Memory-Efficient Spatio-Temporal Data Management.ICDE 2021. pp. 1-6 (2021).
Richly, K., Schlosser, R., Brauer, J., Plattner, H.: A Probabilistic Location Prediction Approach to Optimize Dispatch Processes in the Ride-Hailing Industry.HICSS 2021, to appear. pp. 1-12 (2021).
Schlosser, R.: Scalable Relaxation Techniques to Solve Stochastic Dynamic Multi-Product Pricing Problems with Substitution Effects.Journal of Revenue and Pricing Management.1-14 (2021).
Kastius, A., Schlosser, R.: Dynamic Pricing under Competition using Reinforcement Learning.Journal of Revenue and Pricing Management.1-22 (2021).
Kaminsky, Y., Maltenberger, T., Pörschke, M., Westphal, J., Schlosser, R.: Pricing Competition in a Duopoly with Self-Adapting Strategies.10th International Conference on Operations Research and Enterprise Systems (ICORES 2021). pp. 1-12 (2021).
Schlosser, R., Halfpap, S.: Robust and Memory-Efficient Database Fragment Allocation for Large and Uncertain Database Workloads.24th International Conference on Extending Database Technology (EDBT 2021). pp. 1-6 (2021).
Halfpap, S., Schlosser, R.: Exploration of Dynamic Query-Based Load Balancing for Partially Replicated Database Systems with Node Failures.CIKM '20: The 29th ACM International Conference on Information and Knowledge Management. pp. 3409-3412 (2020).
Kossmann, J., Halfpap, S., Jankrift, M., Schlosser, R.: Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms.Proceedings of the VLDB Endowment. pp. 2382-2395 (2020).
Schlosser, R.: Risk-Sensitive Control of Markov Decision Processes: A Moment-Based Approach with Target Distributions.Computers and Operations Research.123 (104997),1-15 (2020).
Schlosser, R., Halfpap, S.: A Decomposition Approach for Risk-Averse Index Selection.32nd International Conference on Scientific and Statistical Database Management (SSDBM 2020). pp. 16:1-16:4 (2020).
Kossmann, J., Schlosser, R.: Self-driving database systems: a conceptual approach.Distributed and Parallel Databases.38,795-817 (2020).
Richly, K., Brauer, J., Schlosser, R.: Predicting Location Probabilities of Drivers to Improve Dispatch Decisions of Transportation Network Companies Based on Trajectory Data.9th International Conference on Operations Research and Enterprise Systems, ICORES 2020, accepted for publication. pp. 47-58 (2020).
Schlosser, R.: Stochastic Dynamic Pricing with Waiting and Forward-Looking Consumers.Communications in Computer and Information Science (CCIS), Vol. 1162. pp. 47-69. Springer (2020).
Schlosser, R.: Stochastic Dynamic Pricing with Strategic Customers and Reference Price Effects.8th International Conference on Operations Research and Enterprise Systems, ICORES 2019. pp. 179-188 (2019).
Schlosser, R.: Data-Driven Stochastic Dynamic Pricing and Ordering.Operations Research Proceedings 2018. pp. 397-403 (2019).
Schlosser, R., Walther, C., Boissier, M., Uflacker, M.: Automated Repricing and Ordering Strategies in Competitive Markets.AI Communications.32,15-29 (2019).
Schlosser, R., Richly, K.: Dynamic Pricing Competition with Unobservable Inventory Levels: A Hidden Markov Model Approach.Communications in Computer and Information Science. pp. 15-36. Springer (2019).
Halfpap, S., Schlosser, R.: A Comparison of Allocation Algorithms for Partially Replicated Databases.IEEE 35th International Conference on Data Engineering (ICDE 2019). pp. 2008-2011 (2019).
Schlosser, R., Kossmann, J., Boissier, M.: Efficient Scalable Multi-Attribute Index Selection Using Recursive Strategies.IEEE 35th International Conference on Data Engineering (ICDE 2019). pp. 1238-1249. IEEE (2019).
Schlosser, R., Richly, K.: Dynamic Pricing under Competition with Data-Driven Price Anticipations and Endogenous Reference Price Effects.Journal of Revenue & Pricing Management.18,451-464 (2019).
Kossmann, J., Schlosser, R.: A Framework for Self-Managing Database Systems.2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW). pp. 100-106 (2019).
Halfpap, S., Schlosser, R.: Workload-Driven Fragment Allocation for Partially Replicated Databases Using Linear Programming.IEEE 35th International Conference on Data Engineering (ICDE 2019). pp. 1746-1749 (2019).
Schlosser, R., Boissier, M.: Dealing with the Dimensionality Curse in Dynamic Pricing Competition: Using Frequent Repricing to Compensate Imperfect Market Anticipations.Computers and Operations Research.100,26-42 (2018).
Schlosser, R., Boissier, M.: Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach.KDD '18 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. pp. 705-714 (2018).
Schlosser, R., Walther, C., Boissier, M., Uflacker, M.: Data-Driven Inventory Management and Dynamic Pricing Competition on Online Marketplaces.Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2018). pp. 5856-5858 (2018).
Boissier, M., Schlosser, R., Uflacker, M.: Hybrid Data Layouts for Tiered HTAP Databases with Pareto-Optimal Data Placements.IEEE 34th International Conference on Data Engineering (ICDE 2018). pp. 209-220 (2018).
Schlosser, R., Richly, K.: Dynamic Pricing Strategies in a Finite Horizon Duopoly with Partial Information.7th International Conference on Operations Research and Enterprise Systems, ICORES 2018. pp. 21-30 (2018).
Schlosser, R.: Stochastic Dynamic Multi-Product Pricing under Competition.Operations Research Proceedings 2017. pp. 527-533 (2018).
Schlosser, R., Boissier, M.: Optimal Repricing Strategies in a Stochastic Infinite Horizon Duopoly.Communications in Computer and Information Science (CCIS). pp. 129-150. Springer (2018).
Uflacker, M., Schlosser, R., Meinel, C.: Ertragsmanagement im Wandel - Potentiale der In-Memory Technologie. In: Gläß, R. and Leukert, B. (eds.) Handel 4.0: Die Digitalisierung des Handels. Strategien, Technologien, Transformation. pp. 177-190. Springer Gabler (2017).
Schlosser, R., Boissier, M.: Optimal Price Reaction Strategies in the Presence of Active and Passive Competitors.Proceedings of the 6th International Conference on Operations Research and Enterprise Systems (ICORES), Porto, Portugal. pp. 47-56 (2017).
Zimmermann, T., Djürken, T., Mayer, A., Janke, M., Boissier, M., Schwarz, C., Schlosser, R., Uflacker, M.: Detecting Fraudulent Advertisements on a Large E-Commerce Platform.Proceedings of the Nineteenth International Workshop on Data Warehousing and OLAP, DOLAP, Venice, Italy, March 21, 2017 (2017).
Schlosser, R.: Stochastic Dynamic Pricing and Advertising in Isoelastic Oligopoly Models.European Journal of Operational Research.259,1144-1155 (2017).
Boissier, M., Schlosser, R., Podlesny, N., Serth, S., Bornstein, M., Latt, J., Lindemann, J., Selke, J., Uflacker, M.: Data-Driven Repricing Strategies in Competitive Markets: An Interactive Simulation Platform.Proceedings of the Eleventh ACM Conference on Recommender Systems (RecSys '17). pp. 355-357. ACM, New York, NY, USA (2017).
Seiffert, M., Holstein, F., Schlosser, R., Schiller, J.: Next Generation Cooperate Wearables: Generalized Activity Assessment Computed Fully Distributed Within a Wireless Body Area Network.IEEE Access Journal.5,16793-16807 (2017).
Serth, S., Podlesny, N., Bornstein, M., Lindemann, J., Latt, J., Selke, J., Schlosser, R., Boissier, M., Uflacker, M.: An Interactive Platform to Simulate Dynamic Pricing Competition on Online Marketplaces.21st IEEE International Enterprise Distributed Object Computing Conference, EDOC 2017, Quebec City, QC, Canada, October 10-13, 2017. pp. 61-66. IEEE (2017).
Schlosser, R.: Stochastic Dynamic Multi-Product Pricing with Dynamic Advertising and Adoption Effects.Journal of Revenue and Pricing Management.15,153-169 (2016).
Schlosser, R., Boissier, M., Schober, A., Uflacker, M.: How To Survive Dynamic Pricing Competition in E-commerce.Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), Boston, USA, September 17, 2016 (2016).
Boissier, M., Djürken, T., Schlosser, R., Faust, M.: A Cost-Aware and Workload-Based Index Advisor for Columnar In-Memory Databases.22nd International Conference, ICIST 2016, Druskininkai, Lithuania, October 13-15, 2016, Proceedings, CCIS 639. p. 285--299 (2016).
Schlosser, R.: Joint Stochastic Dynamic Pricing and Advertising with Time-Dependent Demand.Journal of Economic Dynamics and Control.73,439-452 (2016).
Schlosser, R.: Dynamic Pricing with Time-Dependent Elasticities.Journal of Revenue and Pricing Management.14,365-383 (2015).
Schlosser, R.: A Stochastic Dynamic Pricing and Advertising Model under Risk Aversion.Journal of Revenue and Pricing Management.14,451-468 (2015).
Helmes, K., Schlosser, R.: Oligopoly Pricing and Advertising in Isoelastic Adoption Models.Dynamic Games and Applications.5,334-360 (2015).
Schlosser, R.: Dynamic Pricing and Advertising Models with Inventory Holding Costs.Journal of Economic Dynamics and Control.57,163-181 (2015).
Helmes, K., Schlosser, R.: Dynamic Advertising and Pricing with Constant Demand Elasticities.Journal of Economic Dynamics and Control.37,2814-2832 (2013).
Helmes, K., Schlosser, R., Weber, M.: Dynamic Advertising and Pricing in a Class of General New-Product Adoption Models.European Journal of Operational Research.229,433-443 (2013).