9 citations · 10 across the 4 of their papers we have counts for
4 papers
Trade-offs Between Individual and Group Fairness in Machine Learning: A Comprehensive Review
Sandra Benítez-Peña, Blas Kolic, Victoria Menendez +1
Algorithmic fairness has become a central concern in computational decision-making systems, where ensuring equitable outcomes is essential for both ethical and legal reasons. Two d…
Area-based epigraph and hypograph indices for functional outlier detection
Belen Pulido, Alba M. Franco-Pereira, Rosa E. Lillo +1
Detecting outliers in Functional Data Analysis is challenging because curves can stray from the majority in many different ways. The Modified Epigraph Index (MEI) and Modified Hypo…
Clustering multivariate functional data using the epigraph and hypograph indices: a case study on Madrid air quality
Belén Pulido, Alba M. Franco-Pereira, Rosa E. Lillo
With the rapid growth of data generation, advancements in functional data analysis (FDA) have become essential, especially for approaches that handle multiple variables at the same…
Functional clustering via multivariate clustering
Belén Pulido, Alba María Franco-Pereira, Rosa Elvira Lillo
Clustering techniques applied to multivariate data are a very useful tool in Statistics and have been fully studied in the literature. Nevertheless, these clustering methodologies…