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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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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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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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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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A Novel Ranking Approach to Rank Interval-Valued Trapezoidal Intuitionistic Fuzzy Sets by Using the Concept of Centroids
An Interval-valued trapezoidal intuitionistic fuzzy set (IVTrIFS) is a powerful tool for modelling uncertainty. The ranking of IVTrIFSs plays a vital...
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Personalized Re-ranking for Recommendation with Mask Pretraining
Re-ranking is to refine the candidate ranking list of recommended items, such that the re-ranked list attracts users to purchase or click more items...
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A compliance-based ranking of certificate authorities using probabilistic approaches
The security of the global Certification Authority (CA) system has recently been compromised as a result of attacks on the Public Key Infrastructure...
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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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Ranking Heterogeneous Search Result Pages Using the Interactive Probability Ranking Principle
The Probability Ranking Principle (PRP) ranks search results based on their expected utility derived solely from document contents, often overlooking...
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Modeling driving task-relevant attention for intelligent vehicles using triplet ranking
Understanding the driving task-relevant attention (i.e. when to pay more attention?) is beneficial for improved safety in intelligent vehicles....
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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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Feature ranking based consensus clustering for feature subset selection
Feature subset selection problem is an NP hard problem and there is a need for computationally efficient algorithms that find near optimal feature...
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Style-aware adversarial pairwise ranking for image recommendation systems
The vulnerability of Machine Learning (ML) models to adversarial attack and their prominence pose security issues, notably in image recommendation...
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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...
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TRIVEA: Transparent Ranking Interpretation using Visual Explanation of black-box Algorithmic rankers
Ranking schemes drive many real-world decisions, like, where to study, whom to hire, what to buy, etc. Many of these decisions often come with high...
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Inferring Attention Shifts for Salient Instance Ranking
The human visual system has limited capacity in simultaneously processing multiple visual inputs. Consequently, humans rely on shifting their...
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CA-PDBPR: category-aware privacy preserving POI recommendation using decentralized Bayesian personalized ranking
Point-of-interest (POI) recommendation has gained significant traction recently due to the rising trend of location-based networks. Traditional...
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Exploring the impact of SEO-based ranking factors for voice queries through machine learning
The use of voice search is proliferating and expected to grow into the foreseeable future; this is why websites increasingly optimize their content...
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XAI-based cross-ensemble feature ranking methodology for machine learning models
Artificial Intelligence (AI) as one robust technology has been used in various fields, making innovative society possible and changing our...
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A Sensor Ranking Approach for Edge–Fog–Cloud Environments
This research work presents a method for ranking sensors using the data produced by these devices. The method classifies the data, identifying the...
