Emelin, D., Titov, I., Sennrich, R. (2020) Detecting word sense disambiguation biases in machine translation for model-agnostic adversarial attacks.

In Webber, B. Cohn, T. He, Y. Liu, Y. (Eds.), 2020 Conference on Empirical Methods in Natural Language Processing: EMNLP 2020 : proceedings of the conference : November 16-20, 2020 (pp 7635-7653). The Association for Computational Linguistics.

Endriss, U., de Haan, R., Lang, J., Slavkovik, M. (2020) The Complexity Landscape of Outcome Determination in Judgment Aggregation.

Journal of Artificial Intelligence Research, Vol. 69 (pp 687–731)

Article | https://doi.org/10.1613/jair.1.11970 | UvA-DARE

Endriss, U., de Haan, R., Novaro, A., Proff, Iris, Rey, S.J. (2021) When residents design their city.

ILLC, UvA.

Web publication or website | https://resources.illc.uva.nl/illc-blog/when-residents-design-their-city/ | UvA-DARE

Endriss, U., de Haan, R., Szeider, S. (2015) Parameterized Complexity Results for Agenda Safety in Judgment Aggregation.

In AAMAS '15: proceedings of the 2015 International Conference on Autonomous Agents & Multiagent Systems : May, 4-8, 2015, Istanbul, Turkey (pp 127-136). International Foundation for Autonomous Agents and Multiagent Systems.

Endriss, U., de Haan, R. (2015) Complexity of the Winner Determination Problem in Judgment Aggregation: Kemeny, Slater, Tideman, Young.

In AAMAS '15: proceedings of the 2015 International Conference on Autonomous Agents & Multiagent Systems : May, 4-8, 2015, Istanbul, Turkey (pp 117-125). International Foundation for Autonomous Agents and Multiagent Systems.

Endriss, U., Fernández, R. (2013) Collective Annotation of Linguistic Resources: Basic Principles and a Formal Model.

In Fung, P. Poesio, M. (Eds.), ACL 2013 : 51st Annual Meeting of the Association for Computational Linguistics: proceedings of the conference : August 4-9, 2013, Sofia, Bulgaria (pp 539-549). Association for Computational Linguistics.

Endriss, U., Fernández, R. (2014) Collective Annotation: Unexpected Connections between Computational Linguistics and Voting Theory.

CNGL Blog.

Web publication or website | http://tinyurl.com/ca-coling | UvA-DARE

Endriss, U., Goldberg, P.W. (2008) Proceedings of the 2nd International Workshop on Computational Social Choice (COMSOC-2008).

University of Liverpool, Department of Computer Science.

Book (Editorship) | http://www.csc.liv.ac.uk/~pwg/COMSOC-2008/COMSOC-2008.pdf | UvA-DARE

Endriss, U., Grandi, U., de Haan, R., Lang, J. (2016) Succinctness of Languages for Judgment Aggregation.

In Baral, C. Delgrande, J. Wolter, F. (Eds.), Proceedings, Fifteenth International Conference on Principles of Knowledge Representation and Reasoning (pp 176-186). AAAI Press.

Endriss, U., Grandi, U., Porello, D. (2010) Complexity of winner determination and strategic manipulation in judgment aggregation.

In Conitzer, V. Rothe, J. (Eds.), Proceedings of the 3rd International Workshop on Computational Social Choice (COMSOC-2010) (pp 139-150). Institut für Informatik, Heinrich-Heine-Universität Düsseldorf.

Endriss, U., Grandi, U., Porello, D. (2010) Complexity of judgment aggregation: safety of the agenda.

In van der Hoek, W. Kaminka, G.A. Lespérance, Y. Luck, M. Sen, S. (Eds.), AAMAS 2010: the 9th International Conference on Autonomous Agents and Multiagent Systems, May 10-14, 2010, Toronto, Canada : conference proceedings (pp 359-366). IFAAMAS.

Endriss, U., Grandi, U., Porello, D. (2012) Complexity of Judgment Aggregation.

Journal of Artificial Intelligence Research, Vol. 45 (pp 481-514)

Article | https://doi.org/10.1613/jair.3708 | UvA-DARE

Endriss, U., Grandi, U. (2013) Binary Aggregation by Selection of the Most Representative Voter.

Paper | https://www.dbis.informatik.uni-augsburg.de/mpref/mpref2013/proceedings/mpref13_submission_9.pdf | UvA-DARE

Endriss, U., Grandi, U. (2014) Binary Aggregation by Selection of the Most Representative Voter.

In Proceedings of the twenty-eighth AAAI Conference on Artificial Intelligence and the twenty-sixth Innovative Applications of Artificial Intelligence Conference: 27-31 July 2014, Québec City, Québec, Canada (pp 668-674). AAAI Press.

Endriss, U., Grandi, U. (2014) Collective Rationality in Graph Aggregation.

In Schaub, T. Friedrich, G. O'Sullivan, B. (Eds.), ECAI 2014: 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic: including Prestigious Applications of Intelligent Systems (PAIS 2014): proceedings (pp 291-296) (Frontiers in Artificial Intelligence and Applications, Vol. 263). IOS Press.

Endriss, U., Grandi, U. (2017) Graph Aggregation.

Artificial Intelligence, Vol. 245 (pp 86-114)

Article | https://doi.org/10.1016/j.artint.2017.01.001 | UvA-DARE

Endriss, U., Grandi, U. (2018) Graph Aggregation.

In The Web Conference 2018: companion of the World Wide Web Conference WWW2018 : April 23-27, 2018, Lyon, France (pp 447-450). International World Wide Web Conferences Steering Committee.

Endriss, U., Kraus, S., Lang, J., Wooldridge, M. (2011) Designing Incentives for Boolean Games.

In Turner, K. Yolum, P. Sonenberg, L. Stone, P. (Eds.), AAMAS 2011: the 10th International Conference on Autonomous Agents and Multiagent Systems : May 2-6, 2011, Taipei, Taiwan : proceedings (pp 79-86). IFAAMAS.

Endriss, U., Kraus, S., Lang, J., Wooldridge, M. (2011) Incentive Engineering for Boolean Games.

In Walsh, T. (Eds.), IJCAI-11: proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence : Barcelona, Catalonia, Spain, 16-22 July 2011 (pp 2602-2607). AAAI Press/International Joint Conferences on Artificial Intelligence.

Endriss, U., Lang, J., Rossi, F., Sandholm, T. (2007) Computational Issues in Social Choice: Dagstuhl seminar : abstracts collection.

Dagstuhl Seminar Proceedings, Vol. 07431. Schloss Dagstuhl - Leibniz-Zentrum für Informatik.

Book (Editorship) | http://drops.dagstuhl.de/opus/volltexte/2007/1273/ | UvA-DARE