Erich Teppan

26 papers A* 2A 2B 3C 3Misc 1Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2026 — conf
Simulation-Based Optimization of Demand Flexibility and Storage Capacity in Distributed Solar Energy Systems.
ICAART (4)
Marco A. Hudelist, Claudia Maussner, Erich Teppan, Elena Wiegelmann
2025 B conf
Aggregated Dataset vs. Ensemble Learning for Spatial Transferability in Water Demand Forecasting.
ICTAI
Claudia Maussner, Erich Teppan
2025 J jnl
Enabling Horizontal Collaboration in Logistics Through Secure Multi-Party Computation.
Future Internet
Gabriele Spini, Stephan Krenn, Erich Teppan, Christina Petschnigg, Elena Wiegelmann
2024 C conf
Summary of "Randomized Problem-Relaxation Solving for Over-Constrained Schedules" (Extended Abstract).
DX
Patrick Rodler, Erich Teppan, Dietmar Jannach
2023 — conf
Pursuing the Optimal CP Model: A Batch Scheduling Case Study.
IntelliSys (1)
Giacomo Da Col, Erich Teppan
2022 — conf
Sensor-Based Moisture Prediction for Flat Roofs.
PAIS@ECAI
Giacomo Da Col, Eva Eggeling, Marco A. Hudelist, Christoph Schinko, Christof Surtmann, Erich Teppan
2021 J jnl
Large-Scale Benchmarks for the Job Shop Scheduling Problem.
CoRR
Giacomo Da Col, Erich Teppan
2021 A* conf
Randomized Problem-Relaxation Solving for Over-Constrained Schedules.
KR
Patrick Rodler, Erich Teppan, Dietmar Jannach
2020 C conf
Exploiting Answer Set Programming for Building explainable Recommendations.
ISMIS
Erich Teppan, Markus Zanker
2020 J jnl
The Scheduling Job-Set Optimization Problem: A Model-Based Diagnosis Approach.
CoRR
Patrick Rodler, Erich Teppan
2019 — conf
Google vs IBM: A Constraint Solving Challenge on the Job-Shop Scheduling Problem.
ICLP Technical Communications
Giacomo Da Col, Erich Teppan
2018 — conf
Automatic Generation of Dispatching Rules for Large Job Shops by Means of Genetic Algorithms.
CIMA@ICTAI
Erich Teppan, Giacomo Da Col
2016 Misc conf
Influence of ASP Language Constructs on the Performance of State-of-the-Art Solvers.
KI
Richard Taupe, Erich Teppan
2014 — conf
Representing Production Scheduling with Constraint Answer Set Programming.
OR
Gerhard Friedrich, Melanie Frühstück, Vera Mersheeva, Anna Ryabokon, Maria Sander, Andreas Starzacher, Erich Teppan
2011 J jnl
Consumer decision making in knowledge-based recommendation.
J. Intell. Inf. Syst.
Monika Mandl, Alexander Felfernig, Erich Teppan, Monika Schubert
2010 — conf
Adaptive Utility-Based Recommendation.
IEA/AIE (1)
Alexander Felfernig, Monika Mandl, Stefan Schippel, Monika Schubert, Erich Teppan
2010 A conf
Efficient Explanations for Inconsistent Constraint Sets.
ECAI
Alexander Felfernig, Monika Schubert, Monika Mandl, Gerhard Friedrich, Erich Teppan
2009 J jnl
Automated debugging of recommender user interface descriptions.
Appl. Intell.
Alexander Felfernig, Gerhard Friedrich, Klaus Isak, Kostyantyn M. Shchekotykhin, Erich Teppan, Dietmar Jannach
2009 A* conf
Plausible Repairs for Inconsistent Requirements.
IJCAI
Alexander Felfernig, Gerhard Friedrich, Monika Schubert, Monika Mandl, Markus Mairitsch, Erich Teppan
2009 C conf
Utility-Based Repair of Inconsistent Requirements.
IEA/AIE
Alexander Felfernig, Markus Mairitsch, Monika Mandl, Monika Schubert, Erich Teppan
2008 A conf
Intelligent debugging and repair of utility constraint sets in knowledge-based recommender applications.
IUI
Alexander Felfernig, Erich Teppan, Gerhard Friedrich, Klaus Isak
2008 B conf
Persuasion in Knowledge-Based Recommendation.
PERSUASIVE
Alexander Felfernig, Bartosz Gula, Gerhard Leitner, Marco Maier, Rudolf Melcher, Erich Teppan
2008 — ch.
User Acceptance of Knowledge-based Recommenders.
Personalization Techniques and Recommender Systems
Alexander Felfernig, Erich Teppan, Bartosz Gula
2007 J jnl
Knowledge representations for the interactive selling of financial services.
Inf. Syst. E Bus. Manag.
Alexander Felfernig, Klaus Isak, Gerold Kreutler, Thomas Kruggel, Erich Teppan
2007 J jnl
Knowledge-Based Recommender Technologies for Marketing and Sales.
Int. J. Pattern Recognit. Artif. Intell.
Alexander Felfernig, Erich Teppan, Bartosz Gula
2007 B conf
Persuasive Recommendation: Serial Position Effects in Knowledge-Based Recommender Systems.
PERSUASIVE
Alexander Felfernig, Gerhard Friedrich, Bartosz Gula, Martin Hitz, Thomas Kruggel, Gerhard Leitner, Rudolf Melcher, D. Riepan, S. Strauss, Erich Teppan, Oliver Vitouch