A Probabilistic Ensemble-Based Decision Support Framework for Teacher Promotion Assessment
Journal of Applied Informatics and ComputingThis study proposes a probabilistic ensemble-based decision support framework for analyzing teacher promotion eligibility within the institutional Credit Point Assessment system.
Ray Eka Novasani, MY Teguh Sulistyono
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Scientific ReportsThe uncertainty of true labels in medical images hinders diagnosis owing to the variability across professionals when applying deep learning models. We used deep learning to obtain an optimal convolutional neural network (CNN) by adequately annotating ...
Shintaro Sukegawa +14 more
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Efficient Parkinson’s disease classification from speech with filter-based feature selection and Genetic Algorithm–Bayesian Optimization ensemble integration [PDF]
PeerJ Computer ScienceParkinson’s disease (PD) is a progressive neurodegenerative disorder of the central nervous system that significantly impairs quality of life. Early and accurate diagnosis is essential to improve treatment outcomes and slow disease progression.
Hakan Gunduz
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A probabilistic voting model of progressive taxation with incentive effects [PDF]
The purpose of this work is to show under what conditions a marginally progressive income tax emerges as the result of political competition between two parties when labor is elastically supplied and candidates are uncertain about voters' decisions on ...
Jenny de Freitas
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Three-Candidate Competition When Candidates Have Valence: Stochastic Voting [PDF]
We study the effects of stochastic (probabilistic) voting on equilibrium locations, equilibrium vote shares and comparative statics in a setup with three heterogenous candidates and a single-dimensional issue space.
Kha, Dmitriy, Evrenk, Haldun
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Engineered ScienceAnemia remains a widespread clinical and public health challenge, particularly in women and children, often leading to delayed or incorrect treatment due to diagnostic complexity.
Indira Uvaliyeva +4 more
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Description of shape patterns using circular arcs for object detection
IET Computer Vision, 2013 The authors propose a novel object detection algorithm based on shape matching using a single sketch of an object. The proposed algorithm uses circular arc segments to describe image edges; this approach is advantageous for shape description, shape ...
Wonil Chang, Soo‐Young Lee
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A Probabilistic Voting Model of Social Security: The Role of Myopic Agents
, 2012 This paper investigates the political incentives for the design of social security policy in competitive democracies with both far-sighted and myopic households.
Wen, Xue
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Generic Difference of Expected Vote Share and Probability of Victory Maximization in Simple Plurality Elections with Probabilistic Voters [PDF]
In this paper I examine single member, simple plurality elections with n > 2 probabilistic voters and show that the maximization of expected vote share and maximization of probability of victory are “generically different” in a specific sense.
John W. Patty
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Probabilistic values for bicooperative games [PDF]
The present paper develops some general conditions under which we analize the bicooperative games introduced by Bilbao (2000). We define the probabilistic values for these games and observe in detail the axioms that characterize such values.
Nieves Jiménez +3 more
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