Peter Schüller

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	All	Since 2019
Citations	1307	727
h-index	20	15
i10-index	37	24

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Thomas EiterVienna University of Technology (TU Wien)Verified email at kr.tuwien.ac.at
Michael FinkChief Scientific Officer, Deutsches MedizinrechenzentrumVerified email at kr.tuwien.ac.at
Christoph RedlUniversity of Applied Sciences Technikum Wien (senior lecturer and researcher)Verified email at technikum-wien.at
Antonius WeinzierlPostDoc, TU Wien (Vienna University of Technology), AustriaVerified email at kr.tuwien.ac.at
Giovambattista IanniProfessor of Computer Science, Università della CalabriaVerified email at unical.it
Volkan PatogluProfessor at Sabanci UniversityVerified email at sabanciuniv.edu
Thomas KrennwallnerAivenVerified email at postsubmeta.net
Zeynep G. SaribaturVienna University of TechnologyVerified email at tuwien.ac.at
Francesco RiccaFull Professor of Computer Science, University of CalabriaVerified email at mat.unical.it
Carmine DodaroDepartment of Mathematics and Computer Science, University of CalabriaVerified email at mat.unical.it
Yuliya LierlerProfessor of Computer Science, University of Nebraska at OmahaVerified email at unomaha.edu
UMUT OZTOKVerified email at g.ucla.edu
Oliver NiggemannHelmut-Schmidt-Universität / Universität der Bundeswehr HamburgVerified email at hsu-hh.de
Bernardo Cuteripost-doc researcher University of CalabriaVerified email at mat.unical.it
Stefano GermanoUniversity of Oxford ; prev. University of CalabriaVerified email at mat.unical.it
Yucel SayginProfessor of Computer Science, Sabanci UniversityVerified email at sabanciuniv.edu
Barış Gün SürmeliResearch Assistant, Institute Industrial IT (inIT)Verified email at marun.edu.tr
Joaquín Padilla MontaniVerified email at univie.ac.at
Markus BöglResearch Assistant, Vienna University of TechnologyVerified email at tuwien.ac.at
Mishal BenzKarlsruhe Institute of TechnologyVerified email at kit.edu

Peter Schüller

Self-Employed

Verified email at peterschueller.com - Homepage

Knowledge Representation Automated Reasoning Machine Learning Intelligent Automation Scalable Big Data Analytics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A General Formal Framework for Pathfinding Problems with Multiple Agents E Erdem, DG Kisa, U Oztok, P Schüller AAAI Conference on Artificial Intelligence, 2013	215	2013
Finding explanations of inconsistency in multi-context systems T Eiter, M Fink, P Schüller, A Weinzierl Artificial Intelligence 216, 233-274, 2014	122	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	63	2016
Tackling winograd schemas by formalizing relevance theory in knowledge graphs P Schüller Principles of Knowledge Representation and Reasoning (KR), 2014	62	2014
TUWienKBS at Germeval 2018: German Abusive Tweet Detection JP Montani, P Schüller 14th Conference on Natural Language Processing KONVENS 2018, 45, 2018	42	2018
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	38	2016
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	36	2010
Best-effort inductive logic programming via fine-grained cost-based hypothesis generation P Schüller, M Benz Machine Learning 107 (7), 1141-1169, 2018	35	2018
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	34	2014
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	32	2018
Abstraction for non-ground answer set programs ZG Saribatur, T Eiter, P Schüller Artificial Intelligence 300, 103563, 2021	31	2021
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	30	2017
Modeling Variations of First-Order Horn Abduction in Answer Set Programming P Schüller Fundamenta Informaticae 149 (1-2), 159-207, 2016	30	2016
Combining Task and Motion Planning: Challenges and Guidelines M Mansouri, F Pecora, P Schüller Frontiers in Robotics and AI, 133, 2021	28	2021
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	27	2013
Parsing Combinatory Categorial Grammar via Planning in Answer Set Programming. Y Lierler, P Schüller Correct Reasoning 7265, 436-453, 2012	23	2012
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	22	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	22	2011
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	21	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	20	2017

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