Peter Schüller
A General Formal Framework for Pathfinding Problems with Multiple Agents
E Erdem, DG Kisa, U Oztok, P Schüller
AAAI Conference on Artificial Intelligence, 2013
Finding explanations of inconsistency in multi-context systems
T Eiter, M Fink, P Schüller, A Weinzierl
Artificial Intelligence 216, 233-274, 2014
Tackling winograd schemas by formalizing relevance theory in knowledge graphs
P Schüller
Principles of Knowledge Representation and Reasoning (KR), 2014
A model building framework for Answer Set Programming with external computations
T Eiter, M Fink, G Ianni, T Krennwallner, C Redl, P Schüller
Theory and Practice of Logic Programming 16 (04), 418-464, 2016
TUWienKBS at Germeval 2018: German Abusive Tweet Detection
JP Montani, P Schüller
14th Conference on Natural Language Processing KONVENS 2018, 45, 2018
The MCS-IE system for explaining inconsistency in multi-context systems
M Bögl, T Eiter, M Fink, P Schüller
European Conference on Logics in Artificial Intelligence (JELIA), 356-359, 2010
A systematic analysis of levels of integration between high-level task planning and low-level feasibility checks
E Erdem, V Patoglu, P Schüller
AI Communications, 2016
Efficient HEX-Program Evaluation Based on Unfounded Sets
T Eiter, M Fink, T Krennwallner, C Redl, P Schüller
Journal of Artificial Intelligence Research 49, 269-321, 2014
Best-effort inductive logic programming via fine-grained cost-based hypothesis generation
P Schüller, M Benz
Machine Learning 107 (7), 1141-1169, 2018
Abstraction for non-ground answer set programs
ZG Saribatur, T Eiter, P Schüller
Artificial Intelligence 300, 103563, 2021
The DLVHEX system
T Eiter, S Germano, G Ianni, T Kaminski, C Redl, P Schüller, A Weinzierl
KI-Künstliche Intelligenz 32 (2), 187-189, 2018
Modeling Variations of First-Order Horn Abduction in Answer Set Programming
P Schüller
Fundamenta Informaticae 149 (1-2), 159-207, 2016
Constraints, lazy constraints, or propagators in ASP solving: An empirical analysis
B Cuteri, C Dodaro, F Ricca, P Schüller
Theory and Practice of Logic Programming 17 (5-6), 780-799, 2017
Finding optimal plans for multiple teams of robots through a mediator: A logic-based approach
E Erdem, V Patoglu, ZG Saribatur, P Schüller, T Uras
Theory and Practice of Logic Programming, 831-846, 2013
Combining Task and Motion Planning: Challenges and Guidelines
M Mansouri, F Pecora, P Schüller
Frontiers in Robotics and AI, 133, 2021
Parsing Combinatory Categorial Grammar via Planning in Answer Set Programming.
Y Lierler, P Schüller
Correct Reasoning 7265, 436-453, 2012
Defining and validating similarity measures for industrial alarm flood analysis
M Fullen, P Schüller, O Niggemann
2017 IEEE 15th International Conference on Industrial Informatics (INDIN …, 2017
Pushing efficient evaluation of HEX programs by modular decomposition
T Eiter, M Fink, G Ianni, T Krennwallner, P Schüller
International Conference on Logic Programming and Nonmonotonic Reasoning, 93-106, 2011
Improving scalability of inductive logic programming via pruning and best-effort optimisation
M Kazmi, P Schüller, Y Saygın
Expert Systems with Applications 87, 291-303, 2017
Answer Set Programming with External Source Access
T Eiter, T Kaminski, C Redl, P Schüller, A Weinzierl
Reasoning Web International Summer School, 204-275, 2017
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