| Predicting material backorders in inventory management using machine learning RB De Santis, EP de Aguiar, L Goliatt 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2017 | 49 | 2017 |
| Extended isolation forests for fault detection in small hydroelectric plants RB de Santis, MA Costa Sustainability 12 (16), 6421, 2020 | 41 | 2020 |
| Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator RB de Santis, L Golliat, EP de Aguiar Brazilian Journal of Operations & Production Management 14 (3), 428-437, 2017 | 31 | 2017 |
| Electricity price forecasting on electricity spot market: A case study based on the Brazilian Difference Settlement Price TS Gontijo, MA Costa, RB de Santis E3S Web of Conferences 239, 00002, 2021 | 12 | 2021 |
| Condition-based maintenance in hydroelectric plants: A systematic literature review RB de Santis, TS Gontijo, MA Costa Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2022 | 8 | 2022 |
| Similarity search in electricity prices: An ultra-fast method for finding analogs TS Gontijo, MA Costa, RB de Santis Journal of Renewable and Sustainable Energy 12 (5), 2020 | 7 | 2020 |
| A data-driven framework for small hydroelectric plant prognosis using Tsfresh and machine learning survival models RB de Santis, TS Gontijo, MA Costa Sensors 23 (1), 12, 2022 | 3 | 2022 |
| Dynamic time scan forecasting: A benchmark with m4 competition data RB De Santis, TS Gontijo, MA Costa IEEE Latin America Transactions 21 (2), 320-327, 2023 | 2 | 2023 |
| A produção do conhecimento científico sobre hierarchical time series forecasting: uma abordagem bibliométrica TS Gontijo, ALJ Nepomuceno, BPL Paiva, RB de Santis, ... Brazilian Journal of Production Engineering 10 (1), 24-35, 2024 | | 2024 |
| ELECTRICITY PRICE FORECASTING: A SYSTEMATIC LITERATURE REVIEW INFORMED BY TEXT MINING TS Gontijo, MA Costa, RI dos Santos, RB de Santis Revista de Administração, Contabilidade e Economia da Fundace 14 (1), 2023 | | 2023 |
| Modelos de aprendizado de máquina aplicados à manutenção preditiva de pequenas centrais geradoras hidrelétricas RB De Santis Universidade Federal de Minas Gerais, 2023 | | 2023 |
| Condition-based maintenance in hydroelectric plants: A literature review RB de Santis, TS Gontijo, MA Costa | | 2020 |
| ARTIFICIAL NEURAL NETWORKS FOR MATERIAL CLASSIFICATION IN PURCHASING PORTFOLIO MANAGEMENT RB de Santis, EP de Aguiar, L Goliatt Revista Interdisciplinar de Pesquisa em Engenharia 2 (10), 39-50, 2016 | | 2016 |
Marcelo Azevedo CostaFull Professor, Department of Industrial Engineering在 ufmg.br 的电子邮件经过验证
