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Pablo Ferri

Polytechnic University of Valencia

Camino de Vera, s/n

Valencia, 46022

Spain

  • Polytechnic University of Valencia

SCHOLARLY PAPERS

3

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125

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0

Scholarly Papers (3)

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1.

Characterizing Temporal Dataset Shifts Explains Ai Performance Changes Over Time: An Evaluation Using the Mimic-Iv Dataset

Number of pages: 14 Posted: 02 Apr 2024
David Fernández Narro, Pablo Ferri, Alba Gutiérrez-Sacristán, Juan M. García-Gómez and Carlos Sáez
Polytechnic University of Valencia, Polytechnic University of Valencia, Harvard University - Department of Biomedical Informatics, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 64 (942,565)

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Artificial Intelligence (AI), Temporal Variability, Data Quality, machine learning

2.

Unsupervised Characterization of Temporal Dataset Shifts as Early Indicator of AI Performance Variations

Number of pages: 19 Posted: 03 Apr 2025
David Fernández Narro, Pablo Ferri, Alba Gutiérrez-Sacristán, Juan M. García-Gómez and Carlos Sáez
Polytechnic University of Valencia, Polytechnic University of Valencia, Harvard University - Department of Biomedical Informatics, Polytechnic University of Valencia and Universidad Politécnica de Valencia
Downloads 33 (1,277,121)

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Artificial Intelligence (AI), Temporal Variability, Data Quality, Machine Learning

3.

Exploring the Trade-Off between Generalist and Specialized Models: A Center-Based Comparative Analysis for Glioblastoma Segmentation

Number of pages: 17 Posted: 08 Mar 2024
Francisco Javier Gil-Terrón Rodríguez, Pablo Ferri, Víctor Montosa-i-Micó, María Gómez Mahiques, Carles Lopez-Mateu, Pau Martí, Juan M. García-Gómez and Elies Fuster-Garcia
Polytechnic University of Valencia, Polytechnic University of Valencia, Polytechnic University of Valencia, Polytechnic University of Valencia, Polytechnic University of Valencia, Universitat de les Illes Balears, Polytechnic University of Valencia and Polytechnic University of Valencia
Downloads 28 (1,345,526)

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glioblastoma, Brain Tumor, Segmentation, Dataset shift assessment, Model specialization, Convolutional Neural Network, Deep learning