activity
20212025
most citedIdentifying Biased Subgroups in Ranking and Classification

4 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2025

HydroChronos: Forecasting Decades of Surface Water Change

Daniele Rege Cambrin, Eleonora Poeta, Eliana Pastor +4

Forecasting surface water dynamics is crucial for water resource management and climate change adaptation. However, the field lacks comprehensive datasets and standardized benchmar…

cs.CL2025

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding

Alkis Koudounas, Moreno La Quatra, Eliana Pastor +2

Kolmogorov-Arnold Networks (KANs) have recently emerged as a promising alternative to traditional neural architectures, yet their application to speech processing remains under exp…

cs.LG2024

A Synthetic Benchmark to Explore Limitations of Localized Drift Detections

Flavio Giobergia, Eliana Pastor, Luca de Alfaro +1

Concept drift is a common phenomenon in data streams where the statistical properties of the target variable change over time. Traditionally, drift is assumed to occur globally, af…

cs.LG2024

Detecting Interpretable Subgroup Drifts

Flavio Giobergia, Eliana Pastor, Luca de Alfaro +1

The ability to detect and adapt to changes in data distributions is crucial to maintain the accuracy and reliability of machine learning models. Detection is generally approached b…

cs.LG20214 cited

Identifying Biased Subgroups in Ranking and Classification

Eliana Pastor, Luca de Alfaro, Elena Baralis

When analyzing the behavior of machine learning algorithms, it is important to identify specific data subgroups for which the considered algorithm shows different performance with…