8 papers
Plainbook: Data Science, in Plain Language
Luca de Alfaro, Mathis Aubert, Ranjit Jhala +2
Jupyter Notebooks have become widely adopted in data science, as they allow the sharing of reproducible computational analysis. They are, however, accessible only to people who und…
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…
"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…
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…
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…
KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation
Daniele Rege Cambrin, Eleonora Poeta, Eliana Pastor +3
Segmentation of crop fields is essential for enhancing agricultural productivity, monitoring crop health, and promoting sustainable practices. Deep learning models adopted for this…