Javier De La Hoz-M, Susana Mendes, María José Fernández-Gómez, Yolanda González Silva. Capturing the Complexity of COVID-19 Research: Trend Analysis in the First Two Years of the Pandemic Using a Bayesian Probabilistic Model and Machine Learning Tools. Computation, 10(9):156, 2022. [doi]
@article{Hoz-MMFS22, title = {Capturing the Complexity of COVID-19 Research: Trend Analysis in the First Two Years of the Pandemic Using a Bayesian Probabilistic Model and Machine Learning Tools}, author = {Javier De La Hoz-M and Susana Mendes and María José Fernández-Gómez and Yolanda González Silva}, year = {2022}, doi = {10.3390/computation10090156}, url = {https://doi.org/10.3390/computation10090156}, researchr = {https://researchr.org/publication/Hoz-MMFS22}, cites = {0}, citedby = {0}, journal = {Computation}, volume = {10}, number = {9}, pages = {156}, }