67 citations · 77 across the 4 of their papers we have counts for
3 papers · 1 filter
A Distributional Approach for Soft Clustering Comparison and Evaluation
Andrea Campagner, Davide Ciucci, Thierry Denœux
The development of external evaluation criteria for soft clustering (SC) has received limited attention: existing methods do not provide a general approach to extend comparison mea…
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
Valerio Basile, Federico Cabitza, Andrea Campagner +1
Most Artificial Intelligence applications are based on supervised machine learning (ML), which ultimately grounds on manually annotated data. The annotation process is often perfor…
Who wants accurate models? Arguing for a different metrics to take classification models seriously
Federico Cabitza, Andrea Campagner
With the increasing availability of AI-based decision support, there is an increasing need for their certification by both AI manufacturers and notified bodies, as well as the prag…