activity
20152024
most citedOptimization of anemia treatment in hemodialysis patients via reinforcement learning

77 citations · 79 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CE2024

Dynamic classifier auditing by unsupervised anomaly detection methods: an application in packaging industry predictive maintenance

Fernando Mateo, Joan Vila-Francés, Emilio Soria-Olivas +2

Predictive maintenance in manufacturing industry applications is a challenging research field. Packaging machines are widely used in a large number of logistic companies' warehouse…

cs.CV2023

Empirical study of the modulus as activation function in computer vision applications

Iván Vallés-Pérez, Emilio Soria-Olivas, Marcelino Martínez-Sober +3

In this work we propose a new non-monotonic activation function: the modulus. The majority of the reported research on nonlinearities is focused on monotonic functions. We empirica…

econ.TH2022

Integration of Behavioral Economic Models to Optimize ML performance and interpretability: a sandbox example

Emilio Soria-Olivas, José E. Vila Gisbert, Regino Barranquero Cardeñosa +1

This paper presents a sandbox example of how the integration of models borrowed from Behavioral Economic (specifically Protection-Motivation Theory) into ML algorithms (specificall…

cs.LG2022★ 2 cited

Approaching sales forecasting using recurrent neural networks and transformers

Iván Vallés-Pérez, Emilio Soria-Olivas, Marcelino Martínez-Sober +3

Accurate and fast demand forecast is one of the hot topics in supply chain for enabling the precise execution of the corresponding downstream processes (inbound and outbound planni…

cs.CL2021

End-to-end Keyword Spotting using Xception-1d

Iván Vallés-Pérez, Juan Gómez-Sanchis, Marcelino Martínez-Sober +3

The field of conversational agents is growing fast and there is an increasing need for algorithms that enhance natural interaction. In this work we show how we achieved state of th…

stat.ML2015★ 77 cited

Optimization of anemia treatment in hemodialysis patients via reinforcement learning

Pablo Escandell-Montero, Milena Chermisi, José M. Martínez-Martínez +8

Objective: Anemia is a frequent comorbidity in hemodialysis patients that can be successfully treated by administering erythropoiesis-stimulating agents (ESAs). ESAs dosing is curr…