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Ranking philosophy journals: a meta-ranking and a new survey ranking
This paper presents a meta-ranking of philosophy journals based on existing rankings, and a new ranking of philosophy journals developed through a...
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Centroid and Graded Mean Ranking Methods for Intuitionistic Trapezoidal Dense Fuzzy Set to Solve MCDM Problems of Robot Selection
Fuzzy ranking plays a vital role in decision-making problems and various fuzzy applications. There are plenty of ranking methods that are used to...
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Ranking Cities According to Their Fundamental Power: A Comparison Among Results of Different Methods of Linear Ordering
City managers search for new concepts of city development in order to satisfy growing demands and manage risk. The research assumes that city...
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A Study of Pre-processing Fairness Intervention Methods for Ranking People
Fairness interventions are hard to use in practice when ranking people due to legal constraints that limit access to sensitive information....
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Ranking blame
A social planner wants to rank people. Utilitarianism implies that a natural ranking which orders people from most to least sensitive to their rank...
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Regional selection of satellite estimates over the Northwest Himalayan region using the merged ranking methods
Mountainous regions are often faced with various challenges of monitoring and predicting accurate rainfall due to complex topography. Satellite...
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Application of Ranking Methods for Evaluation of Critical Factors Involved in Roof Fall Fatal Accidents in Indian Underground Coal Mines
Director General of Mines Safety under Ministry of Labour, Government of India (DGMS), has presented data related to fatal accidents due to roof fall...
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Pairwise ranking with Gaussian kernel
Regularized pairwise ranking with Gaussian kernels is one of the cutting-edge learning algorithms. Despite a wide range of applications, a rigorous...
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An anatomy of the academic ranking of world universities (Shanghai ranking)
International academic rankings of research universities are widely applied and heavily criticised. Amongst the many international rankings, the...
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Intersectional fair ranking via subgroup divergence
Societal biases encoded in real-world data can contaminate algorithmic decisions, perpetuating preexisting inequalities in domains such as employment...
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Users’ satisfaction based ranking for Yahoo Answers
Community based question and answer websites; such as, Yahoo Answers, Stack Overflow, Stack Exchange and Quora are briskly generating content in the...
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Bias-aware ranking from pairwise comparisons
Human feedback is often used, either directly or indirectly, as input to algorithmic decision making. However, humans are biased: if the algorithm...
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Automatic diagnosis of myopic maculopathy using continuous severity ranking labels
Clinical lesions progress continuously but previous grading strategies are not fine-grained enough to model the continuously changing features of...
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Spectral Ranking with Covariates
We consider spectral approaches to the problem of ranking n players given their incomplete and noisy pairwise comparisons, but revisit this classical...
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Ranking routes in semiconductor wafer fabs
We develop a method to estimate the quality of processing routes in a wafer fabrication process. Ranking such routes can be useful for identifying...
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Multi-Label Ranking: Mining Multi-Label and Label Ranking Data
We survey multi-label ranking tasks, specifically multi-label classification and label ranking classification. We highlight the unique challenges,...
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Comparative Results of Ranking of Alternatives Using Different Normalization Methods: Computational Experiment
This chapter presents a comparative analysis of the ranking of alternatives when applying various normalization methods based on a numerical...
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Kemeny ranking aggregation meets the GPU
Ranking aggregation, studied in the field of social choice theory, focuses on the combination of information with the aim of determining a winning...
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Ranking-preserved generative label enhancement
Label distribution learning (LDL) is effective for addressing label ambiguity. In LDL, ground-truth label distributions are hardly available due to...
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RefinerHash: a new hashing-based re-ranking technique for image retrieval
Re-ranking is a task of refining an initially ranked list of images obtained from an image retrieval technique for a given query image, with the goal...
