| Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of forecasting 38 (3), 705-871, 2022 | 1276 | 2022 |
| Performance of State Space and ARIMA models for consumer retail sales forecasting P Ramos, N Santos, R Rebelo Robotics and Computer-Integrated Manufacturing 34, 151-163, 2015 | 344 | 2015 |
| Assessing the performance of hierarchical forecasting methods on the retail sector JM Oliveira, P Ramos Entropy 21 (4), 436, 2019 | 49 | 2019 |
| Evaluating the effectiveness of time series transformers for demand forecasting in retail JM Oliveira, P Ramos Mathematics 12 (17), 2728, 2024 | 44 | 2024 |
| A procedure for identification of appropriate state space and ARIMA models based on time-series cross-validation P Ramos, JM Oliveira Algorithms 9 (4), 76, 2016 | 43 | 2016 |
| Mapping and Initial Dilution Estimation of an Ocean Outfall Plume using an Autonomous Underwater Vehicle P Ramos, N Mário, F Pereira Continental Shelf Research 27 (5), 583-593, 2007 | 38 | 2007 |
| Monitoring an Ocean Outfall Using an AUV P Ramos, N Cruz, A Matos, M Neves, F Pereira MTS/IEEE International Conference Oceans 2001 3, 2009-2014, 2001 | 31 | 2001 |
| Outfall Monitoring Using Autonomous Underwater Vehicles P Ramos, M Neves, N Cruz, F Pereira MWWD2000 International Conference on Marine Waste Water Discharges 2000, 321-331, 2000 | 26 | 2000 |
| Automatic Interface for AUV Mission Planning and Supervision N Abreu, A Matos, P Ramos, N Cruz MTS/IEEE International Conference Oceans 2010, 2010 | 20 | 2010 |
| Predictive maintenance of production equipment based on neural network autoregression and ARIMA P Ramos, JM Oliveira, P Silva 21st EurOMA Conference – Operations Management in an Innovation Economy, 2014 | 19 | 2014 |
| Advanced mathematical modeling for outfall plume tracking and management using autonomous underwater vehicles based systems PAG Ramos PQDT-Global, 2004 | 19 | 2004 |
| Robust sales forecasting using deep learning with static and dynamic covariates P Ramos, JM Oliveira Applied System Innovation 6 (5), 85, 2023 | 17 | 2023 |
| Transformer-Based Models for Probabilistic Time Series Forecasting with Explanatory Variables R Caetano, JM Oliveira, P Ramos Mathematics 13 (5), 814, 2025 | 16 | 2025 |
| Forecasting seasonal sales with many drivers: Shrinkage or dimensionality reduction? P Ramos, JM Oliveira, N Kourentzes, R Fildes Applied System Innovation 6 (1), 3, 2022 | 16 | 2022 |
| Socially Responsible Investment Funds—An Analysis Applied to Funds Domiciled in the Portuguese and Spanish Markets L Carvalho, C Mota, P Ramos Risks 12 (1), 9, 2024 | 14 | 2024 |
| Investigating the Accuracy of Autoregressive Recurrent Networks Using Hierarchical Aggregation Structure-Based Data Partitioning JM Oliveira, P Ramos Big Data and Cognitive Computing 7 (2), 100, 2023 | 10 | 2023 |
| Mapping the Aveiro Sea Outfall Plume: Sampling Strategy for an Autonomous Underwater Vehicle P Ramos, M Neves, F Pereira, I Quintaneiro MWWD2002 – 2nd International Conference on Marine Waste Water Discharges, 2002 | 10 | 2002 |
| Prediction Studies for an AUV Monitoring Mission Plan P Ramos, N Cruz, A Matos, M Neves, F Pereira Medcoast 2001 - Fifth International Conference on the Mediterranean Coastal …, 2001 | 10 | 2001 |
| Predicting throughput in IEEE 802.11 based wireless networks using directional antenna S Kandasamy, R Morla, P Ramos, M Ricardo Wireless Networks 25 (4), 1567-1584, 2019 | 9 | 2019 |
| Characterizing retail demand with promotional effects for model selection P Ramos, J Oliveira, R Fildes, S Ma 37th International Symposium on Forecasting (ISF), 2017 | 9 | 2017 |
Fernando Lobo PereiraProfessor de Automação e Controlo, Faculdade de Engenharia da Universidade do PortoVerified email at fe.up.pt
