Óscar Escudero-Arnanz

Orcid: 0000-0002-5632-1212

According to our database1, Óscar Escudero-Arnanz authored at least 10 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

On csauthors.net:

Bibliography

2025
Multimodal interpretable data-driven models for early prediction of multidrug resistance using multivariate time series.
Health Inf. Sci. Syst., December, 2025

Early detection of Multidrug Resistance using Multivariate Time Series analysis and interpretable patient-similarity representations.
Comput. Methods Programs Biomed., 2025

Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units.
Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2024
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data.
CoRR, 2024

Explainable Artificial Intelligence Techniques for Irregular Temporal Classification of Multidrug Resistance Acquisition in Intensive Care Unit Patients.
CoRR, 2024

Low-Rank Tensor Completion for Heart Failure Exacerbation Detection in Multivariate Time Series with Missing Data.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

Irregular Temporal Classification of Multidrug Resistance Development in Intensive Care Unit Patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
dtwParallel: A Python package to efficiently compute dynamic time warping between time series.
SoftwareX, May, 2023

2021
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit.
CoRR, 2021

2020
Temporal Feature Selection for Characterizing Antimicrobial Multidrug Resistance in the Intensive Care Unit.
Proceedings of the First International AAI4H, 2020


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