Publicaciones (11) Publicaciones de PABLO PÉREZ SÁNCHEZ

2024

  1. Assessing the Effectiveness of Textual Recommendations in KoopaML: A Comparative Study on Non-Expert Users' ML Pipeline Development

    International Journal on Semantic Web and Information Systems, Vol. 20, Núm. 1

  2. D-AI-COM: A DICOM Reception Node to Automate the Application of Artificial Intelligence Scripts to Medical Imaging Data

    Lecture Notes in Networks and Systems

  3. Deep-stratification of the cardiovascular risk by ultrasound carotid artery images

    Biomedical Signal Processing and Control, Vol. 91

2023

  1. Are Textual Recommendations Enough? Guiding Physicians Toward the Design of Machine Learning Pipelines Through a Visual Platform

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Estadística y ODS: una relación necesaria

    Propuestas docentes para la integración de la Agenda 2030 y los ODS en la Universidad de Salamanca: modelos y experiencias en el Máster en Profesor de Educación Secundaria Obligatoria y Bachillerato, Formación Profesional y Enseñanzas de Idiomas (Ediciones Universidad de Salamanca), pp. 351-367

  3. Flexible Heuristics for Supporting Recommendations Within an AI Platform Aimed at Non-expert Users

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Refactoring User Interfaces Through a Data-Driven Framework: a Case Study in the Health Domain

    Proceedings - 2023 49th Latin American Computing Conference, CLEI 2023

  5. Testing and Improvements of KoopaML: A Platform to Ease the Development of Machine Learning Pipelines in the Medical Domain

    Lecture Notes in Educational Technology (Springer Science and Business Media Deutschland GmbH), pp. 210-217

  6. Uncertainty to Improve the Automatic Measurement of Left Ventricular Ejection Fraction in 2D Echocardiography Using CNN-Based Segmentation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022

  1. Predictive Power for Thrombus Detection after Atrial Appendage Closure: Machine Learning vs. Classical Methods

    Journal of Personalized Medicine, Vol. 12, Núm. 9

2021

  1. Automatic Classification of Valve Diseases Through Natural Language Processing in Spanish and Active Learning

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)