activity
20212024
most citedApproaching sales forecasting using recurrent neural networks and transformers

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 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

PixLore: A Dataset-driven Approach to Rich Image Captioning

Diego Bonilla-Salvador, Marcelino Martínez-Sober, Joan Vila-Francés +3

In the domain of vision-language integration, generating detailed image captions poses a significant challenge due to the lack of curated and rich datasets. This study introduces P…

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…

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…