Investigació i publicacions
Els títols i les dades bibliogràfiques es conserven en la llengua original. Citacions consultades l'11 de setembre de 2026; no se sumen registres duplicats.
Intel·ligència artificial i suport a decisions
- Machine learning applied to global scale species distribution models — 2025.
- Estimating production functions through additive models based on regression splines — 2024.
- An adaptation of Random Forest to estimate convex non-parametric production technologies: an empirical illustration of efficiency measurement in education — 2025.
- eat: An R Package for fitting Efficiency Analysis Trees — 2022.
- Estimating production technologies using multi-output adaptive constrained enveloping splines — 2025.
- BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients — 2020.
- Bayesian Networks for the Diagnosis and Prognosis of Diseases: A Scoping Review — 2024.
- Concordance Between Clinical Practice Recommendations Generated by Generative Artificial Intelligence and the Vía RICA 2026 Enhanced Recovery Guideline: A Proof-of-Concept Study Using a Closed Evidence Corpus — 2026.
- A calculator for musculoskeletal injuries prediction in surgeons: a machine learning approach — 2024.
- Discovering HIV related information by means of association rules and machine learning — 2022.
- UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays — 2020.
Estadística espacial i espaciotemporal
Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models — Barber, Conesa, Lladosa and López-Quílez; Geospatial Health. 2016.
Estadística espacial i ambiental 17 citacions
Multivariate Bioclimatic Indices Modelling: A Coregionalised Approach — Barber, Conesa, López-Quílez and Morales; Journal of Agricultural, Biological and Environmental Statistics. 2019.
Estadística espacial i ambiental 4 citacions
Incorporating Biotic Information in Species Distribution Models: A Coregionalized Approach — Barber et al.; Mathematics. 2021.
Estadística espacial i ambiental 15 citacions
Bayesian feedback in the framework of ecological sciences — Figueira et al.; Ecological Informatics. 2024.
Estadística espacial i ambiental 9 citacions
Machine learning applied to global scale species distribution models — Fuster-Alonso et al.; Scientific Reports. 2025.
Intel·ligència artificial Estadística espacial i ambiental 14* citacions
Marine heatwaves in the western Mediterranean: Considerations for coastal aquaculture adaptation — Atalah, Ibañez, Aixalà, Barber and Sánchez-Jerez; Aquaculture. 2024.
Estadística espacial i ambiental 36 citacions
Anàlisi d'eficiència i productivitat
Estimating production functions through additive models based on regression splines — España, Aparicio, Barber and Esteve; European Journal of Operational Research, 312(2), 684–699. 2024.
Intel·ligència artificial Eficiència i productivitat 33 citacions
An adaptation of Random Forest to estimate convex non-parametric production technologies: an empirical illustration of efficiency measurement in education — España, Aparicio and Barber; International Transactions in Operational Research, 32(5), 2523–2546. 2025.
Intel·ligència artificial Eficiència i productivitat 14 citacions
eat: An R Package for fitting Efficiency Analysis Trees — Esteve, España, Aparicio and Barber; The R Journal, 14(3), 249–281. 2022.
Intel·ligència artificial Eficiència i productivitat 9 citacions
Estimating production technologies using multi-output adaptive constrained enveloping splines — España, Aparicio and Barber; Computers & Operations Research, article 107242. 2025.
Intel·ligència artificial Eficiència i productivitat 5 citacions
Treballs destacats i interdisciplinaris
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients — de la Iglesia Vayá et al.; arXiv:2006.01174. 2020.
Intel·ligència artificial Preprint · Recurs de dades 304 citacions
Assessing the Impact of the COVID-19 Pandemic in Spain: Large-Scale, Online, Self-Reported Population Survey — Oliver, Barber, Kirsten Roomp and Kristof Roomp; Journal of Medical Internet Research, 22(9), e21319. 2020.
155* citacions
Assessment of chemical, physico-chemical, techno-functional and antioxidant properties of fig (Ficus carica L.) powder co-products — Viuda-Martos, Barber, Pérez-Álvarez and Fernández-López; Industrial Crops and Products, 69, 472–479. 2015.
134 citacions
Esophageal cancer risk by type of alcohol drinking and smoking: a case-control study in Spain — Vioque et al.; BMC Cancer, 8, 221. 2008.
123 citacions
Effect of home-based prehabilitation in an enhanced recovery after surgery program for patients undergoing colorectal cancer surgery during the COVID-19 pandemic — López-Rodríguez-Arias et al.; Supportive Care in Cancer, 29, 7785–7791. 2021.
103 citacions
Bayesian Networks for the Diagnosis and Prognosis of Diseases: A Scoping Review — Polotskaya et al.; Machine Learning and Knowledge Extraction, 6(2), 1243–1262. 2024.
Intel·ligència artificial 75 citacions
Altres publicacions en intel·ligència artificial
Concordance Between Clinical Practice Recommendations Generated by Generative Artificial Intelligence and the Vía RICA 2026 Enhanced Recovery Guideline: A Proof-of-Concept Study Using a Closed Evidence Corpus
Moral, A.; Arroyo, A.; Aparicio, J.; Barber, X. 2026. Machine Learning and Knowledge Extraction, 8(9), 256.
Intel·ligència artificial
A calculator for musculoskeletal injuries prediction in surgeons: a machine learning approach
Sánchez-Guillén, L., et al. 2024. Surgical Endoscopy, 38, 6577–6585.
Intel·ligència artificial
Discovering HIV related information by means of association rules and machine learning
Araujo, L.; Martinez-Romo, J.; Bisbal, O.; Sanchez-de-Madariaga, R.; The Cohort of the National AIDS Network (CoRIS). 2022. Scientific Reports, 12, 18208. CoRIS collaboration.
Intel·ligència artificial
UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays
González, G., et al. 2020. arXiv:2006.05274 · Preprint.
Intel·ligència artificial