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Possible and necessary winners in voting trees: majority graphs vs. profiles.

, , , and . AAMAS, page 311-318. IFAAMAS, (2011)

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Incompleteness and incomparability in preference aggregation: Complexity results., , , and . Artif. Intell., 175 (7-8): 1272-1289 (2011)Stability and Optimality in Matching Problems with Weighted Preferences., , , and . ICAART (Revised Selected Papers), volume 271 of Communications in Computer and Information Science, page 319-333. Springer, (2011)Bipolar Preference Problems: Framework, Properties and Solving Techniques., , , and . CSCLP, volume 4651 of Lecture Notes in Computer Science, page 78-92. Springer, (2006)Strategic voting when aggregating partially ordered preferences., , , and . AAMAS, page 685-687. ACM, (2006)Proof of Evolution: leveraging blockchain mining for a cooperative execution of Genetic Algorithms., , and . Blockchain, page 450-455. IEEE, (2020)Compact Preference Representation via Fuzzy Constraints in Stable Matching Problems., , and . ADT, volume 10576 of Lecture Notes in Computer Science, page 333-338. Springer, (2017)Aggregating partially ordered preferences: impossibility and possibility results., , , and . TARK, page 193-206. National University of Singapore, (2005)Bipolar Preference Problems., , , and . ECAI, volume 141 of Frontiers in Artificial Intelligence and Applications, page 705-706. IOS Press, (2006)Resistance to bribery when aggregating soft constraints., , and . AAMAS, page 1301-1302. IFAAMAS, (2013)Robust Solutions in Unstable Optimization Problems., , , and . CSCLP, volume 5655 of Lecture Notes in Computer Science, page 116-131. Springer, (2008)