| Exploring the use of deep neural networks for sales forecasting in fashion retail ALD Loureiro, VL Miguéis, LFM Da Silva Decision Support Systems 114, 81-93, 2018 | 304 | 2018 |
| Early segmentation of students according to their academic performance: A predictive modelling approach VL Miguéis, A Freitas, PJV Garcia, A Silva Decision Support Systems 115, 36-51, 2018 | 281 | 2018 |
| Modeling partial customer churn: On the value of first product-category purchase sequences VL Miguéis, D Van den Poel, AS Camanho, JF e Cunha Expert systems with applications 39 (12), 11250-11256, 2012 | 149 | 2012 |
| Customer data mining for lifestyle segmentation VL Miguéis, AS Camanho, JF e Cunha Expert systems with applications 39 (10), 9359-9366, 2012 | 128 | 2012 |
| Quality of life experienced by human capital: An assessment of European cities P Morais, VL Miguéis, AS Camanho Social indicators research 110, 187-206, 2013 | 97 | 2013 |
| Customer attrition in retailing: an application of multivariate adaptive regression splines VL Miguéis, A Camanho, JF e Cunha Expert Systems with Applications 40 (16), 6225-6232, 2013 | 74 | 2013 |
| Productivity change and innovation in Norwegian electricity distribution companies VL Miguéis, AS Camanho, E Bjørndal, M Bjørndal Journal of the Operational Research Society 63 (7), 982-990, 2012 | 66 | 2012 |
| Predicting direct marketing response in banking: comparison of class imbalance methods VL Miguéis, AS Camanho, J Borges Service Business 11, 831-849, 2017 | 59 | 2017 |
| Automatic root cause analysis in manufacturing: an overview & conceptualization E e Oliveira, VL Miguéis, JL Borges Journal of Intelligent Manufacturing 34 (5), 2061-2078, 2023 | 57 | 2023 |
| Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences VL Miguéis, D Van den Poel, AS Camanho, J Falcão e Cunha Advances in Data Analysis and Classification 6, 337-353, 2012 | 47 | 2012 |
| Leveraging email marketing: Using the subject line to anticipate the open rate M Paulo, VL Miguéis, I Pereira Expert systems with applications 207, 117974, 2022 | 46 | 2022 |
| Sustainability dimensions of the Mediterranean diet: a systematic review of the indicators used and its results JM Bôto, A Rocha, V Miguéis, M Meireles, B Neto Advances in Nutrition 13 (5), 2015-2038, 2022 | 42 | 2022 |
| Enhanced decision support in credit scoring using Bayesian binary quantile regression VL Miguéis, DF Benoit, D Van den Poel Journal of the Operational Research Society 64 (9), 1374-1383, 2013 | 37 | 2013 |
| Reducing fresh fish waste while ensuring availability: Demand forecast using censored data and machine learning VL Miguéis, A Pereira, J Pereira, G Figueira Journal of cleaner Production 359, 131852, 2022 | 32 | 2022 |
| A data mining approach for predicting academic success–A case study MPG Martins, VL Miguéis, DSB Fonseca, A Alves Information Technology and Systems: Proceedings of ICITS 2019, 45-56, 2019 | 32 | 2019 |
| Mining customer loyalty card programs: The improvement of service levels enabled by innovative segmentation and promotions design VL Miguéis, AS Camanho, JF Cunha Exploring Services Science: Second International Conference, IESS 2011 …, 2011 | 21 | 2011 |
| Machine learning models for short-term demand forecasting in food catering services: A solution to reduce food waste M Rodrigues, V Miguéis, S Freitas, T Machado Journal of Cleaner Production 435, 140265, 2024 | 18 | 2024 |
| Exploring online travel reviews using data analytics: An exploratory study VL Miguéis, H Nóvoa Service Science 9 (4), 315-323, 2017 | 18 | 2017 |
| On the influence of overlap in automatic root cause analysis in manufacturing E e Oliveira, VL Miguéis, JL Borges International Journal of Production Research 60 (21), 6491-6507, 2022 | 17 | 2022 |
| Forecasting bivalve landings with multiple regression and data mining techniques: The case of the Portuguese Artisanal Dredge Fleet MM Oliveira, AS Camanho, JB Walden, VL Migueis, NB Ferreira, ... Marine Policy 84, 110-118, 2017 | 10 | 2017 |
