Voting under time pressure by Carlos Alós-Ferrer, Michele Garagnani

“…We find that participants under time constraints are more sincere when using the widely-employed Plurality Voting method. That is, time pressure might reduce strategic voting and hence misrepresentation of preferences. …”
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Voting algorithms for large scale fault-tolerant systems by Karimi, Abbas

“…To solve this problem and gain benefits of this algorithm, we employed parallel algorithm technique and by using optimal number of processors, we could propose optimal algorithms known as Parallel Average Voting and Parallel Weighted Average Voting which both have optimal time complexity and less calculation cost. Since Plurality voting, among the popular and widely applied algorithms, has more correct responses even more than the most known and practical voting algorithm like majority and by relying on the benefit of parallel algorithms, we proposed parallel plurality voting with the minimum number of processors in an optimal time compared to its sequential type. …”
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Party Formation and Coalitional Bargaining in a Model of Proportional Representation by Siddhartha Bandyopadhyay, Mandar Oak

“…We show that the incentives for strategic dropout can be higher under proportional representation than plurality voting, contrary to Duverger’s law. Our model explains the diverse electoral outcomes seen under proportional representation and integrates models of political entry with models of coalitional bargaining.…”
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Accurate and reliable diagnosis and classification using probabilistic ensemble simplified fuzzy ARTMAP by Loo, C.K., Rao, M.V.C.

“…In this paper, an accurate and effective probabilistic plurality voting method to combine outputs from multiple simplified fuzzy ARTMAP (SFAM) classifiers is presented. …”

The Power of None by Neal D. Hulkower, John Neatrour

“…The method incorporates the benefits of approval voting, which allows a simple yes/no vote on each candidate and avoids the disadvantages of adding N as a binding outcome to plurality voting. We prove that BwN uniquely satisfies five rational properties which can be viewed as potential axioms that provide a theoretical basis for the method. …”
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Sequential Voting with Confirmation Network by Yakov Babichenko, Oren Dean, Moshe Tennenholtz

“…We prove, however, that in the case of approval voting, the ratio between their popularity is always bounded from above by 2. In the case of plurality voting, we show that there are cases in which some of the equilibria give an unbounded ratio, but there always exists at least one equilibrium with ratio 2 at most.…”
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The Impact of Input Rules and Ballot Options on Voting Error: An Experimental Analysis by J. S. Maloy, Matthew Ward

“…When election reforms such as Ranked Choice Voting or the Alternative Vote are proposed to replace plurality voting, they offer lengthier instructions, more opportunities for political expression, and more opportunities for mistakes on the ballot. …”
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Probabilistic ensemble simplified fuzzy ARTMAP for sonar target differentiation by Loo, Chu Kiong, Law, A., Lim, W.S., Rao, M.V.C.

“…The PESFAM implements an accurate and effective probabilistic plurality voting method to combine outputs from multiple SFAM classifiers. …”

Radar Signal Recognition Based on Bagging SVM by Kaiyin Yu, Yuanyuan Qi, Lai Shen, Xiaofeng Wang, Daying Quan, Dongping Zhang

“…Finally, the performance of each SVM classifier is aggregated using plurality voting to reduce the risk of model overfitting and improve recognition accuracy. …”
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Decision-level fusion of Sentinel-1 SAR and Landsat 8 OLI texture features for crop discrimination and classification: case of Masvingo, Zimbabwe by Shengbo Chen, Juliana Useya, Hillary Mugiyo

“…Classified maps from the best three performers from both speckle filtered and unfiltered are aggregated with classified maps from Landsat 8 using plurality voting algorithm and compared using Z-test. Results indicate an overall classification accuracy of 96.02% from DLF images of Landsat and non-speckle filtered maps, whereas Landsat and speckle filtered achieved 94.69%. …”
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Voting application : where we will go for dinner? by Marcellino

“…In this project, we explore and implement three different voting rules: Plurality Voting, Approval Voting, and Copeland Rule. …”
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Optimal defense against election control by deleting voter groups by Yin, Yue, Vorobeychik, Yevgeniy, An, Bo, Hazon, Noam

“…We introduce the problem of optimal defense against election control, including destructive and constructive control, where manipulation is allowed at the granularity of groups of voters (e.g., voting locations) through a denial-of-service attack, and the defender allocates limited protection resources to prevent control. We consider plurality voting, and show that it is computationally hard to prevent both types of control, though destructive control itself can be performed in polynomial time. …”
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Approval voting / by 186826 Brams, Steven J., Fishburn, Peter C.

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Legal but not Fair: Viktor Orbán’s New Supermajority by Kim Lane Scheppele

“…The governing party got 45% of the vote, but the new “rules of the game” turned this plurality vote into two thirds of the seats in the parliament. …”
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THE POLISH SEJM ELECTIONS OF 2015: SPACE VARIABILITY OF THE RESULTS BASED ON SINGLE-MEMBER CONSTITUENCIES SIMULATION by Oskar SKOMSKI, Bartosz KORINTH, Tomasz WISKULSKI, Dominik WILK

“…Obtained results indicate to the marginalization of the Polish political scene – plural voting would preclude the election victories of the secondary political parties and civil rights movements.…”
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Classification of Dermoscopy Skin Lesion Color-Images Using Fractal-Deep Learning Features by Edgar Omar Molina-Molina, Selene Solorza-Calderón, Josué Álvarez-Borrego

“…The computer-aided diagnosis output was determined based on the linear plurality vote. In this work, we obtained an average accuracy of 97.35%, an average precision of 91.61%, an average sensitivity of 66.45%, and an average specificity of 97.85% in the eight classes’ classification in the International Skin Imaging Collaboration (ISIC) archive-2019.…”
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A generalized approach for producing, quantifying, and validating citizen science data from wildlife images by Swanson, A, Kosmala, M, Lintott, C, Packer, C

“…Species classifications based on the plurality vote of multiple citizen scientists can provide a reliable foundation for large-scale monitoring of African wildlife.…”

Prediction of enzyme function based on 3D templates of evolutionarily important amino acids by Chen Brian Y, Erdin Serkan, Lisewski Andreas, Ward R Matthew, Kristensen David M, Fofanov Viacheslav Y, Kimmel Marek, Kavraki Lydia E, Lichtarge Olivier

“…In many cases (61%) a single most likely function could be predicted as the annotation with the most matches, and in these cases such a plurality vote identified the correct function with 87% accuracy. …”
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