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R.J. de Almeida e Santos Nogueira

Key publicaties
Tran Thai, S., Almeida , R. J., & Defryn, C. (2023). Order Picking: Exploring the Properties of the Greedy Seed-Based Batching Algorithm. In 2023 IEEE Congress on Evolutionary Computation (pp. 1-8). IEEE Xplore. https://doi.org/10.1109/CEC53210.2023.10254095
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Recente publicaties
  • Stevens, C. L., Adriaans, G. M. C., Spooren, C. E. G. M., Peters, V., Pierik, M. J., Weersma, R. K., van Dullemen, H. M., Festen, E. A. M., Visschedijk, M. C., Hendrix, E. M. B., Perenboom, C. W. M., Feskens, E. J. M., Dijkstra, G., Almeida, R. J., Jonkers, D. M. A. E., & Campmans-Kuijpers, M. J. E. (2025). Exploring diet categorizations and their influence on flare prediction in inflammatory bowel disease, using the Sparse Grouped Least Absolute Shrinkage and Selection Operator method. Clinical Nutrition, 47, 212-226. https://doi.org/10.1016/j.clnu.2025.02.027
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  • Lieb, L., Jassem, A., Almeida, R. J., Bastürk, N., & Smeekes, S. (2025). Min(d)ing the President: A Text Analytic Approach to Measuring Tax News. American Economic Journal: Macroeconomics, 17(2), 285-314. https://doi.org/10.1257/mac.20210226
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  • Bastürk, N., Rajapakshe, C., & de Almeida e Santos Nogueira, R. J. (2024). Graphical Causal Models with Discretized Data and Background Information. In M.-J. Lesot, S. Vieira, M. Z. Reformat, J. P. Carvalho, F. Batista, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems: 20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024, Proceedings, Volume 1 (Vol. 1, pp. 233-244). Springer, Cham. https://doi.org/10.1007/978-3-031-74003-9_19
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  • Esener, S., Wegner, E., Almeida, R. J., Bastürk, N., & Rodrigues, P. (2024). Quantifying Uncertainty of Portfolios using Bayesian Neural Networks. In 2024 International Joint Conference on Neural Networks, IJCNN 2024 - Proceedings (pp. 1-8). IEEE. https://doi.org/10.1109/IJCNN60899.2024.10650382
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  • Seabra, A., Ventura, R., Almeida, R. J., Vieira, S., & Sousa, J. M. C. (2024). Applications of Autonomous Learning Multi Model System to Multiclass Imbalanced Datasets. In 2024 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2024 - Proceedings IEEE. https://doi.org/10.1109/FUZZ-IEEE60900.2024.10611834
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  • Ammon, S., Phillipson, F., & Almeida, R. J. (2024). A Supervised Machine Learning Approach for the Vehicle Routing Problem. In F. Liberatore, S. Wesolkowski, & G. Parlier (Eds.), Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - ICORES (Vol. 1, pp. 364-371). Scitepress - Science And Technology Publications. https://doi.org/10.5220/0012430000003639
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  • Krieger, J. B., Bouder, F., Wibral, M., & Almeida, R. J. (2024). A systematic literature review on risk perception of Artificial Narrow Intelligence. Journal of Risk Research. Advance online publication. https://doi.org/10.1080/13669877.2024.2350725
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  • Stevens, C. L., Adriaans, G. M. C., Spooren, C. E. G. M., Peters, V., Pierik, M. J., Dijkstra, G., Almeida, R. J., Jonkers, D. M. A. E., & Campmans-Kuijpers, M. J. E. (2024). Exploring diet categorisations and their influence on flare prediction in IBD, using Sparse Group LASSO. Journal of Crohn's & Colitis, 18, I509-I510.
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  • Epting, S., Almeida, R. J., & Carvalho, J. P. (2024). Ranking Case Law by Context Dimensions Using Fuzzy Fingerprints. In 2024 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2024 - Proceedings (pp. 1-8). IEEE. https://doi.org/10.1109/FUZZ-IEEE60900.2024.10612086
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  • Tran, S. T., Almeida, R. J., Defryn, C., & Van Nieuwenhuyse, I. (2024). Synchronous Parallel Heuristics for Solving the Joint Order Batching and Picker Routing Problem. In 2024 IEEE Congress on Evolutionary Computation, CEC 2024 - Proceedings (pp. 1-8). IEEE. https://doi.org/10.1109/CEC60901.2024.10612134
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