Article-Journal

A Generalised Exponentiated Gradient Approach to Enhance Fairness in Binary and Multi-class Classification Tasks
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A kernel-based approach for accurate steady-state detection in performance time series
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Forecasting software runtime metrics: A comparative study of classical statistical, neural network, and foundation models
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How do generative models draw a software engineer? An empirical study on implicit bias of open-source image generation models
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How fair are we? From conceptualization to automated assessment of fairness definitions
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On the role of search budgets in model-based software refactoring optimization
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A Kernel-Based Approach for Accurate Steady-State Detection in Performance Time Series
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An Evaluation Framework for the FAIR Assessment tools in Open Science
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How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias
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Identifying and Replicating Code Patterns Driving Performance Regressions in Software Systems
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