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Voting with random classifiers (VORACE): theoretical and experimental analysis.

, , , , and . Auton. Agents Multi Agent Syst., 35 (2): 22 (2021)

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Incompleteness and incomparability in preference aggregation: Complexity results., , , and . Artif. Intell., 175 (7-8): 1272-1289 (2011)Proof of Evolution: leveraging blockchain mining for a cooperative execution of Genetic Algorithms., , and . Blockchain, page 450-455. IEEE, (2020)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)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)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)Bribery in voting with CP-nets., , , and . Ann. Math. Artif. Intell., 68 (1-3): 135-160 (2013)Voting with Random Classifiers (VORACE)., , , , and . AAMAS, page 1822-1824. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Sequential Voting in Multi-agent Soft Constraint Aggregation., , , and . AAMAS, page 2131-2133. International Foundation for Autonomous Agents and Multiagent Systems, (2020)