Universidad de Granada
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
Sajid Ali, Tamer Abuhmed, Shaker El–Sappagh et al.
2023 · 1.412 Zit.
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation
Natalia Díaz-Rodríguez, Javier Del Ser, Mark Coeckelbergh et al.
2023 · 636 Zit.
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
Luca Longo, Mario Brčić, Federico Cabitza et al.
2024 · 447 Zit.
COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images
Siham Tabik, Anabel Gómez-Ríos, José Luis Martín Rodríguez et al.
2020 · 380 Zit.
Artificial Intelligence in Higher Education: A Bibliometric Study on its Impact in the Scientific Literature
Francisco-Javier Hinojo-Lucena, Inmaculada Aznar Díaz, María Pilar Cáceres Reche et al.
2019 · 363 Zit.
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges
Nuria Rodríguez-Barroso, Daniel Jiménez-López, M. Victoria Luzón et al.
2022 · 266 Zit.
Use of ChatGPT at University as a Tool for Complex Thinking: Students’ Perceived Usefulness
José María Romero Rodríguez, María Soledad, Mariana Buenestado Fernández et al.
2023 · 239 Zit.
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
Andreas Holzinger, Matthias Dehmer, Frank Emmert‐Streib et al.
2021 · 207 Zit.
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
J. M. Górriz, I. Álvarez, Agustín Álvarez-Marquina et al.
2023 · 178 Zit.
Artificial intelligence in scientific writing: a friend or a foe?
Signe Altmäe, Alberto Sola‐Leyva, Andres Salumets
2023 · 162 Zit.
Machine learning methods applied to triage in emergency services: A systematic review
Rocío Sánchez-Salmerón, José Luis Gómez‐Urquiza, Luis Albendín‐García et al.
2021 · 108 Zit.
Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari et al.
2024 · 91 Zit.
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance
Isaac Triguero, Daniel Molina, Javier Poyatos et al.
2023 · 67 Zit.
“Just” accuracy? Procedural fairness demands explainability in AI-based medical resource allocations
Jon Rueda, Janet Delgado, Iris Parra Jounou et al.
2022 · 54 Zit.
Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry
Milan Karan-Romero, Rodrigo Salazar‐Gamarra, Ximena Alejandra Leon-Rios
2023 · 49 Zit.