TY  - GEN 
AU  - Ruiz Águilar, Juan Jesús
AU  - Urda, Daniel
AU  - Moscoso López, José Antonio
AU  - González Enrique, Francisco Javier
AU  - Turias Domínguez, Ignacio José
A4  - Ingeniería Industrial e Ingeniería Civil
A4  - Ingeniería Informática
PY  - 2020
SN  - 1872-8286
SN  - 0925-2312
UR  - http://hdl.handle.net/10498/35202
AB  - Machine learning methods are a powerful tool to detect workload peaks and congestion in goods inspec- tion facilities of seaports. In this paper, a time series data of freight inspection volume at the Border Inspections Posts in the Port of Algeciras...
LA  - eng
PB  - Elsevier
KW  - Machine learning
KW  - Ensembles
KW  - Artificial neural networks
KW  - Bayesian regularization
KW  - Aggregation/disaggregation
KW  - Time series inspection
TI  - A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models
DO  - 10.1016/J.NEUCOM.2019.06.109
ER  -