18 citations · 22 across the 4 of their papers we have counts for
4 papers · 1 filter
Scalable Property Valuation Models via Graph-based Deep Learning
Enrique Riveros, Carla Vairetti, Christian Wegmann +2
This paper aims to enrich the capabilities of existing deep learning-based automated valuation models through an efficient graph representation of peer dependencies, thus capturing…
Efficient Hybrid Oversampling and Intelligent Undersampling for Imbalanced Big Data Classification
Carla Vairetti, José Luis Assadi, Sebastián Maldonado
Imbalanced classification is a well-known challenge faced by many real-world applications. This issue occurs when the distribution of the target variable is skewed, leading to a pr…
A predict-and-optimize approach to profit-driven churn prevention
Nuria Gómez-Vargas, Sebastián Maldonado, Carla Vairetti
In this paper, we introduce a novel predict-and-optimize method for profit-driven churn prevention. We frame the task of targeting customers for a retention campaign as a regret mi…
OWAdapt: An adaptive loss function for deep learning using OWA operators
Sebastián Maldonado, Carla Vairetti, Katherine Jara +2
In this paper, we propose a fuzzy adaptive loss function for enhancing deep learning performance in classification tasks. Specifically, we redefine the cross-entropy loss to effect…