Universitat Politècnica de València

ChatGPT Challenges Blended Learning Methodologies in Engineering Education: A Case Study in Mathematics

Luis Manuel Sánchez Ruiz, Santiago Moll-López, Adolfo Nuñez-Pérez et al.

2023 · 199 Zit.

Overview of the 1st international competition on plagiarism detection

Martin Potthast, Benno Stein, Andreas Eiselt et al.

2009 · 138 Zit.

Larger and more instructable language models become less reliable

Lexin Zhou, Wout Schellaert, Fernando Martínez‐Plumed et al.

2024 · 127 Zit.

Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset

Carlos Sáez, Nekane Romero-García, J. Alberto Conejero et al.

2020 · 84 Zit.

Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review

Roberto Tornero-Costa, Antonio Martínez-Millana, Natasha Azzopardi‐Muscat et al.

2023 · 84 Zit.

Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects

Haridimos Kondylakis, Varvara Kalokyri, Stelios Sfakianakis et al.

2023 · 70 Zit.

Artificial intelligence and its impact on the domains of universal health coverage, health emergencies and health promotion: An overview of systematic reviews

Antonio Martínez-Millana, Aida Saez-Saez, Roberto Tornero-Costa et al.

2022 · 60 Zit.

Corpus and Evaluation Measures for Automatic Plagiarism Detection

Alberto Barrón‐Cedeño, Martin Potthast, Paolo Rosso et al.

2010 · 57 Zit.

Prediction models using artificial intelligence and longitudinal data from electronic health records: a systematic methodological review

Lucía A. Carrasco‐Ribelles, José Llanes-Jurado, Carlos Gallego-Moll et al.

2023 · 54 Zit.

A practical solution to estimate the sample size required for clinical prediction models generated from observational research on data

Carlos Baeza-Delgado, L. Cerdá Alberich, José Miguel Carot-Sierra et al.

2022 · 39 Zit.

CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools

Luis Martí‐Bonmatí, Ana Miguel, A. Suárez-Garcı́a et al.

2022 · 35 Zit.

Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

Domenica D’Elia, Jaak Truu, Leo Lahti et al.

2023 · 30 Zit.

The potential of Generative Pre-trained Transformer 4 (GPT-4) to analyse medical notes in three different languages: a retrospective model-evaluation study

Maria Clara Saad Menezes, Alexander Hoffmann, Amelia L.M. Tan et al.

2024 · 29 Zit.

A multinational study on artificial intelligence adoption: Clinical implementers' perspectives

Luis Marco-Ruiz, Miguel Ángel Tejedor Hernández, Phuong Dinh Ngo et al.

2024 · 29 Zit.

A historical perspective of biomedical explainable AI research

Luca Malinverno, Vesna Barros, Francesco Ghisoni et al.

2023 · 29 Zit.