Dr. Jakob Huber

Researcher

E-Mail: jakob (at) informatik.uni-mannheim.de

Research Group: Artificial Intelligence

Publications

Articles
Research Papers
Conference Publications
Dissertation

Huber, J. and Stuckenschmidt, H. (2021). Intraday shelf replenishment decision support for perishable goods. International Journal of Production Economics, 231, 1–14.
Huber, J. and Stuckenschmidt, H. (2020). Daily retail demand forecasting using machine learning with emphasis on calendric special days. International Journal of Forecasting, 36, 1420-1438.
Huber, J., Müller, S., Fleischmann, M. and Stuckenschmidt, H. (2019). A data-driven newsvendor problem: From data to decision. European Journal of Operational Research : EJOR, 278, 904–915.
Huber, J., Gossmann, A. and Stuckenschmidt, H. (2017). Cluster-based hierarchical demand forecasting for perishable goods. Expert Systems with Applications, 76, 140–151.
Huber, J., Niepert, M., Noessner, J., Schönfisch, J., Meilicke, C. and Stuckenschmidt, H. (2017). An infrastructure for probabilistic reasoning with web ontologies. Semantic Web, 8, 255–269.

Müller, S., Huber, J., Fleischmann, M. and Stuckenschmidt, H. (2020). Data-driven inventory management under customer substitution. Mannheim.
Huber, J., Müller, S., Fleischmann, M. and Stuckenschmidt, H. (2017). A data-driven newsvendor problem: From data to decision. SSRN Working Paper Series. Rochester, NY.
Chekol, M. W., Huber, J. and Stuckenschmidt, H. (2015). Towards log-linear logics with concrete domains. Mannheim.
Huber, J. (2014). Temporal Reasoning for RDF(S): A Markov Logic based Approach. Mannheim.
Huber, J., Kopf, S. and Schaber, P. (2013). Analyse von Bildmerkmalen zur Identifikation wichtiger Bildregionen. Technical Reports, 13–004. Mannheim.

Chekol, M. W., Huber, J., Meilicke, C. and Stuckenschmidt, H. (2016). Markov logic networks with numerical constraints. In , ECAI 2016 : 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands : including Prestigious applications of intelligent systems (PAIS 2016) : proceedings (S. 1017-1025). Frontiers in Artificial Intelligence and Applications, IOS Press BV: Amsterdam.
Chekol, M. W., Huber, J., Meilicke, C. and Stuckenschmidt, H. (2015). Probabilistic EL++ with nominals and concrete domains. In , Working Papers of the IJCAI-2015 Workshop on Weighted Logics for Artificial Intelligence WL4AI-2015, July 27, 2015, Buenos Aires (Argentina) (S. 80–87). , University of Sao Paulo: Sao Paulo.
Huber, J., Meilicke, C. and Stuckenschmidt, H. (2014). Applying Markov logic for debugging probabilistic temporal knowledge bases. In , AKBC 2014 : 4th Workshop on Automated Knowledge Base Construction (AKBC) 2014 at NIPS 2014 in Montreal, Canada, December 13, 2014 (S. 1–6). , ACM: New York, NY.
Sztyler, T., Huber, J., Noessner, J., Murdock, J., Allen, C. and Niepert, M. (2014). LODE: Linking digital humanities content to the web of data. In , 2014 IEEE/ACM Joint Conference on Digital Libraries (JCDL) : 8th to 12th September 2014 ; City University London, London, United Kingdom (S. 423–424). , IEEE: Piscataway, NJ.
Huber, J., Sztyler, T., Noessner, J. and Meilicke, C. (2011). CODI: Combinatorial Optimization for Data Integration – Results for OAEI 2011. In , OM 2011 : Proceedings of the 6th International Workshop on Ontology Matching, In conjunction with the International Semantic Web Conference (ISWC2011) Bonn, Germany, October 24, 2011 (S. 134–141). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.

Huber, J. (2019). Data-driven decision support for perishable goods. Dissertation. Mannheim.