4 citations · 4 across the 5 of their papers we have counts for
5 papers
Time-dependent Probabilistic Generative Models for Disease Progression
Onintze Zaballa, Aritz Pérez, Elisa Gómez-Inhiesto +2
Electronic health records contain valuable information for monitoring patients' health trajectories over time. Disease progression models have been developed to understand the unde…
Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees
Verónica Álvarez, Santiago Mazuelas, Jose A. Lozano
For a sequence of classification tasks that arrive over time, it is common that tasks are evolving in the sense that consecutive tasks often have a higher similarity. The increment…
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations
Ainhize Barrainkua, Paula Gordaliza, Jose A. Lozano +1
Several recent works encourage the use of a Bayesian framework when assessing performance and fairness metrics of a classification algorithm in a supervised setting. We propose the…
Towards Competitive Classifiers for Unbalanced Classification Problems: A Study on the Performance Scores
Jonathan Ortigosa-Hernández, Iñaki Inza, Jose A. Lozano
Although a great methodological effort has been invested in proposing competitive solutions to the class-imbalance problem, little effort has been made in pursuing a theoretical un…
Mathematical Programming Strategies for Solving the Minimum Common String Partition Problem
Christian Blum, José A. Lozano, Pedro Pinacho Davidson
The minimum common string partition problem is an NP-hard combinatorial optimization problem with applications in computational biology. In this work we propose the first integer l…