María Teresa Arredondo

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with María Fernanda Cabrera

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Publications

2025
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Beatriz Merino-Barbancho, Miguel Rujas, Rodrigo Martín Gómez Del Moral Herranz, Kristina Livitckaia, Konstantina Pantelidou, Elena Castellano, Konstantina Kostopoulou, María Fernanda Cabrera, María Teresa Arredondo, Giuseppe Fico:
Evaluating Usability, Acceptance, and Trust in the BEAMER Adherence Intelligence Visualization Platform: A Preliminary Study. HCI (26) 2025: 53-71
2024
[j33]
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Laura Lopez-Perez, Eleni I. Georga, Carlo Conti, Victor Vicente, Rebeca García, Leandro Pecchia, Dimitrios I. Fotiadis, Lisa Licitra, María Fernanda Cabrera, María Teresa Arredondo, Giuseppe Fico:
Statistical and machine learning methods for cancer research and clinical practice: A systematic review. Biomed. Signal Process. Control. 92: 106067 (2024)
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Peña Arroyo, Miguel Rujas, Beatriz Merino-Barbancho, Rodrigo Martín Gómez Del Moral Herranz, Jaime Barrio Cortes, Ana Isabel Villimar Rodríguez, Beatriz Benito, Jim Ingebretsen Carlson, Francisco Lupiáñez-Villanueva, María Teresa Arredondo, María Fernanda Cabrera, Giuseppe Fico:
Understanding Adherence to Medication in Chronic Patients: A Comprehensive Approach for Optimization and Analysis of Structural Factors. EMBC 2024: 1-4
2023
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Beatriz Merino-Barbancho, Peña Arroyo, Miguel Rujas, Ana Cipric, Nicholas Ciccone, Francisco Lupiáñez-Villanueva, Ana Roca-Umbert Würth, Frans Folkvord, María Fernanda Cabrera, María Teresa Arredondo, Giuseppe Fico:
Multi-stakeholder Approach for Designing an AI Model to Predict Treatment Adherence. HCI (19) 2023: 260-271

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