A weighted principal component analysis and its application to gene expression data JFP Da Costa, H Alonso, L Roque IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (1), 246-252, 2009 | 79 | 2009 |
A hybrid biased random key genetic algorithm approach for the unit commitment problem LAC Roque, DBMM Fontes, FACC Fontes Journal of Combinatorial Optimization 28, 140-166, 2014 | 34 | 2014 |
A biased random key genetic algorithm approach for unit commitment problem LAC Roque, DBMM Fontes, FACC Fontes International Symposium on Experimental Algorithms, 327-339, 2011 | 30 | 2011 |
Layout optimization of an airborne wind energy farm for maximum power generation LAC Roque, LT Paiva, MCRM Fernandes, DBMM Fontes, FACC Fontes Energy Reports 6, 165-171, 2020 | 21 | 2020 |
A metaheuristic approach to the multi-objective unit commitment problem combining economic and environmental criteria LAC Roque, DBMM Fontes, FACC Fontes Energies 10 (12), 2029, 2017 | 17 | 2017 |
Limit distribution for the weighted rank correlation coefficient, rw JFP da Costa, LAC Roque REVSTAT-Statistical Journal 4 (3), 189–200-189–200, 2006 | 17 | 2006 |
A multi-objective unit commitment problem combining economic and environmental criteria in a metaheuristic approach LAC Roque, DBMM Fontes, FACC Fontes Energy Procedia 136, 362-368, 2017 | 12 | 2017 |
An optimal control approach to the unit commitment problem FACC Fontes, DBMM Fontes, LA Roque 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 7069-7074, 2012 | 11 | 2012 |
Optimization methods for the unit commitment problem in electric power systems LAC Roque PQDT-Global, 2014 | 7 | 2014 |
BRKGA adapted to multiobjective unit commitment problem Solving Pareto frontier for UC multiobjective Problem using BRKGA SPEA2 NPGA and NSGA II techniques FACC Fontes, L Roque, D Fontes | 6 | 2012 |
Supervised and unsupervised selection of genes in microarray data JFP da Costa, H Alonso, LAC Roque, MM Oliveira Statistics in Genomics and Proteomics, 73, 2005 | 4 | 2005 |
Rhiots: A framework for evaluating hierarchical time series forecasting algorithms L Roque, C Soares, L Torgo Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 3 | 2024 |
Optimal combination forecasts on retail multi-dimensional sales data L Roque, CAC Fernandes, T Silva arXiv preprint arXiv:1903.09478, 2019 | 3 | 2019 |
The weighted rank correlation coefficient rW2 in the case of ties JP Da Costa, LAC Roque, C Soares Statistics & Probability Letters 99, 20-26, 2015 | 3 | 2015 |
Optimal Control Formulations for the Unit Commitment Problem DBMM Fontes, FACC Fontes, LAC Roque Dynamics of Information Systems: Computational and Mathematical Challenges …, 2014 | 3 | 2014 |
Automatic hierarchical time-series forecasting using Gaussian processes L Roque, L Torgo, C Soares Engineering Proceedings 5 (1), 49, 2021 | 2 | 2021 |
The impact of the COVID-19 pandemic in a mathematics subject AJ Viamonte, A Sousa, L Roque, M Ferreira 2021 4th International Conference of the Portuguese Society for Engineering …, 2021 | 2 | 2021 |
Interdisciplinarity to Integrate Knowledge in Engineering S Abreu, A Caldeira, AR Costa, T Gomes, L Roque | 2 | 2017 |
Interdisciplinary team work applying working methods to a math project S Abreu, A Caldeira, AR Costa, T Gomes, LAC Roque 2016 2nd International Conference of the Portuguese Society for Engineering …, 2016 | 2 | 2016 |
Métodos inferenciais para o coeficiente de correlação pw LAC Roque Universidade do Porto. Reitoria, 2003 | 2 | 2003 |