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2020 – today
- 2023
[c29]Giacomo Da Col, Erich Teppan:
Pursuing the Optimal CP Model: A Batch Scheduling Case Study. IntelliSys (1) 2023: 508-520- 2022
- [c28]Giacomo Da Col, Eva Eggeling, Marco A. Hudelist, Christoph Schinko, Christof Surtmann, Erich Teppan:
Sensor-Based Moisture Prediction for Flat Roofs. PAIS@ECAI 2022: 149-152 - [c27]Erich Christian Teppan:
Types of Flexible Job Shop Scheduling: A Constraint Programming Experiment. ICAART (3) 2022: 516-523 - [p2]Gerhard Friedrich
, Martin Gebser, Erich Christian Teppan:
Symbolic Artificial Intelligence Methods for Prescriptive Analytics. Digital Transformation 2022: 385-414 - 2021
- [c26]Patrick Rodler, Erich Teppan, Dietmar Jannach:
Randomized Problem-Relaxation Solving for Over-Constrained Schedules. KR 2021: 696-701 - [i3]Giacomo Da Col, Erich Teppan:
Large-Scale Benchmarks for the Job Shop Scheduling Problem. CoRR abs/2102.08778 (2021) - 2020
- [c25]Erich Teppan, Markus Zanker:
Exploiting Answer Set Programming for Building explainable Recommendations. ISMIS 2020: 395-404 - [i2]Patrick Rodler, Erich Teppan:
The Scheduling Job-Set Optimization Problem: A Model-Based Diagnosis Approach. CoRR abs/2009.11142 (2020)
2010 – 2019
- 2019
- [c24]Giacomo Da Col, Erich Christian Teppan:
Industrial Size Job Shop Scheduling Tackled by Present Day CP Solvers. CP 2019: 144-160 - [c23]Giacomo Da Col, Erich Teppan:
Google vs IBM: A Constraint Solving Challenge on the Job-Shop Scheduling Problem. ICLP Technical Communications 2019: 259-265 - 2018
- [j9]Andreas A. Falkner, Gerhard Friedrich, Konstantin Schekotihin, Richard Taupe, Erich Christian Teppan:
Industrial Applications of Answer Set Programming. Künstliche Intell. 32(2-3): 165-176 (2018) - [c22]Erich Teppan, Giacomo Da Col:
Automatic Generation of Dispatching Rules for Large Job Shops by Means of Genetic Algorithms. CIMA@ICTAI 2018: 43-57 - [c21]Erich Christian Teppan:
Dispatching Rules Revisited-A Large Scale Job Shop Scheduling Experiment. SSCI 2018: 561-568 - 2017
- [j8]Erich Christian Teppan:
On the complexity of the partner units decision problem. Artif. Intell. 248: 112-122 (2017) - 2016
- [j7]Erich Christian Teppan, Gerhard Friedrich, Georg Gottlob:
Tractability frontiers of the partner units configuration problem. J. Comput. Syst. Sci. 82(5): 739-755 (2016) - [c20]Erich Christian Teppan, Gerhard Friedrich:
Heuristic Constraint Answer Set Programming. ECAI 2016: 1692-1693 - [c19]Richard Taupe, Erich Teppan:
Influence of ASP Language Constructs on the Performance of State-of-the-Art Solvers. KI 2016: 88-101 - [c18]Giacomo Da Col, Erich Christian Teppan:
Declarative Decomposition and Dispatching for Large-Scale Job-Shop Scheduling. KI 2016: 134-140 - 2014
- [c17]Gerhard Friedrich, Melanie Frühstück, Vera Mersheeva, Anna Ryabokon, Maria Sander, Andreas Starzacher, Erich Teppan:
Representing Production Scheduling with Constraint Answer Set Programming. OR 2014: 159-165 - 2013
- [c16]Erich Christian Teppan, Gerhard Friedrich:
Declarative Heuristics in Constraint Satisfaction. ICTAI 2013: 996-1003 - [i1]Erich Christian Teppan, Gerhard Friedrich:
The Partner Units Configuration Problem. CoRR abs/1308.6206 (2013) - 2012
- [j6]Erich Christian Teppan, Alexander Felfernig:
Minimization of decoy effects in recommender result sets. Web Intell. Agent Syst. 10(4): 385-395 (2012) - [c15]Erich Christian Teppan, Gerhard Friedrich, Andreas A. Falkner:
QuickPup: A Heuristic Backtracking Algorithm for the Partner Units Configuration Problem. IAAI 2012: 2329-2334 - [c14]Erich Christian Teppan:
Re-configuring Legacy Instances of the Partner Units Problem. ICTAI 2012: 154-161 - 2011
- [j5]Monika Mandl, Alexander Felfernig, Erich Teppan, Monika Schubert:
Consumer decision making in knowledge-based recommendation. J. Intell. Inf. Syst. 37(1): 1-22 (2011) - 2010
- [c13]Alexander Felfernig, Monika Schubert, Monika Mandl, Gerhard Friedrich, Erich Teppan:
Efficient Explanations for Inconsistent Constraint Sets. ECAI 2010: 1043-1044 - [c12]Alexander Felfernig, Monika Mandl, Stefan Schippel, Monika Schubert, Erich Teppan:
Adaptive Utility-Based Recommendation. IEA/AIE (1) 2010: 641-650 - [c11]Erich Christian Teppan, Gerhard Friedrich, Alexander Felfernig:
Impacts of Decoy Effects on the Decision Making Ability. CEC 2010: 112-119
2000 – 2009
- 2009
- [j4]Alexander Felfernig, Gerhard Friedrich, Klaus Isak, Kostyantyn M. Shchekotykhin, Erich Teppan, Dietmar Jannach:
Automated debugging of recommender user interface descriptions. Appl. Intell. 31(1): 1-14 (2009) - [j3]Erich Christian Teppan, Alexander Felfernig:
Impacts of decoy elements on result set evaluations in knowledge-based recommendation. Int. J. Adv. Intell. Paradigms 1(3): 358-373 (2009) - [c10]Alexander Felfernig, Markus Mairitsch, Monika Mandl, Monika Schubert, Erich Teppan:
Utility-Based Repair of Inconsistent Requirements. IEA/AIE 2009: 162-171 - [c9]Erich Christian Teppan, Alexander Felfernig:
Calculating Decoy Items in Utility-Based Recommendation. IEA/AIE 2009: 183-192 - [c8]Alexander Felfernig, Gerhard Friedrich, Monika Schubert, Monika Mandl, Markus Mairitsch, Erich Teppan:
Plausible Repairs for Inconsistent Requirements. IJCAI 2009: 791-796 - [c7]Erich Christian Teppan, Alexander Felfernig:
Minimization of Product Utility Estimation Errors in Recommender Result Set Evaluations. Web Intelligence 2009: 20-27 - [c6]Erich Christian Teppan, Alexander Felfernig:
Asymmetric Dominance- and Compromise Effects in the Financial Services Domain. CEC 2009: 57-64 - [c5]Erich Christian Teppan, Alexander Felfernig:
Der Asymmetrische Dominanzeffekt und seine Bedeutung für E-Tourismus-Plattformen. Wirtschaftsinformatik (2) 2009: 791-800 - 2008
- [c4]Alexander Felfernig, Erich Teppan, Gerhard Friedrich, Klaus Isak:
Intelligent debugging and repair of utility constraint sets in knowledge-based recommender applications. IUI 2008: 217-226 - [c3]Alexander Felfernig, Bartosz Gula, Gerhard Leitner, Marco Maier, Rudolf Melcher, Erich Teppan:
Persuasion in Knowledge-Based Recommendation. PERSUASIVE 2008: 71-82 - [c2]Erich Christian Teppan:
Implications of psychological phenomenons for recommender systems. RecSys 2008: 323-326 - [p1]Alexander Felfernig, Erich Teppan, Bartosz Gula:
User Acceptance of Knowledge-based Recommenders. Personalization Techniques and Recommender Systems 2008: 249-276 - 2007
- [j2]Alexander Felfernig, Erich Teppan, Bartosz Gula:
Knowledge-Based Recommender Technologies for Marketing and Sales. Int. J. Pattern Recognit. Artif. Intell. 21(2): 333-354 (2007) - [j1]Alexander Felfernig, Klaus Isak, Gerold Kreutler, Thomas Kruggel, Erich Teppan:
Knowledge representations for the interactive selling of financial services. Inf. Syst. E Bus. Manag. 5(2): 143-166 (2007) - [c1]Alexander Felfernig, Gerhard Friedrich, Bartosz Gula, Martin Hitz, Thomas Kruggel, Gerhard Leitner, Rudolf Melcher, D. Riepan, S. Strauss, Erich Teppan, Oliver Vitouch:
Persuasive Recommendation: Serial Position Effects in Knowledge-Based Recommender Systems. PERSUASIVE 2007: 283-294
Coauthor Index
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