A novel deep ordinal classification approach for aesthetic quality control classification
Published in Neural Computing and Applications, 2022
Recommended citation: Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, César Hervás-Martínez, Emanuele Frontoni, "A novel deep ordinal classification approach for aesthetic quality control classification." Neural Computing and Applications, Vol. 34, 2022, pp.11625--11639. http://dx.doi.org/10.1007/s00521-022-07050-6
JCR (2021): 5.102 Position: 45/144 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE