Camacho, L., & Bacao, F. (2024). Correction to: WSMOTER: a novel approach for imbalanced regression. Applied Intelligence, 54, 11160. https://doi.org/10.1007/s10489-024-05704-7; The chapter WSMOTER: a novel approach for imbalanced regression, written by Luís Camacho and Fernando Bacao, was originally published without open access. Following the author’s/authors’ decision to opt for open access, the copyright of...
Fonseca, J., & Bacao, F. (2023). Tabular and latent space synthetic data generation: a literature review. Journal of Big Data, 10, 1-37. [115]. https://doi.org/10.1186/s40537-023-00792-7 --- This research was supported by two research grants of the Portuguese Foundation for Science and Technology (“Fundação para a Ciência e a Tecnologia”), references SFRH/BD/151473/2021 and DSAIPA/DS/0116/2019, and by project U...
Frank, F., & Bacao, F. (2023). Advanced Genetic Programming vs. State-of-the-Art AutoML in Imbalanced Binary Classification. Emerging Science Journal, 7(4), 1349-1363. https://doi.org/10.28991/ESJ-2023-07-04-021--- Data Availability Statement: Publicly available datasets were analyzed in this study. This data can be found here: https://github.com/joaopfonseca/mlresearch. ---This work was supported by a grant of...
Mutemi, A., & Bacao, F. (2023). A numeric-based machine learning design for detecting organized retail fraud in digital marketplaces. Scientific Reports, 13(1), 1-16. [12499]. https://doi.org/10.1038/s41598-023-38304-5; Organized retail crime (ORC) is a significant issue for retailers, marketplace platforms, and consumers. Its prevalence and influence have increased fast in lockstep with the expansion of online...
Fonseca, J., & Bacao, F. (2023). Geometric SMOTE for imbalanced datasets with nominal and continuous features. Expert Systems with Applications, 234(December), 1-9. [121053]. https://doi.org/10.1016/j.eswa.2023.121053 --- This research was supported by research grants of the Portuguese Foundation for Science and Technology (“Fundação para a Ciência e a Tecnologia”), references SFRH/BD/151473/2021, DSAIPA/DS/011...
Crisóstomo, J., Lobo, V., & Bação, F. (2023). Detecting Fraudulent Wallets in Ethereum Blockchain Combining Supervised and Unsupervised Techniques: Using Autoencoders and XGboost. In J. M. Machado, P. Vieira, A. Abelha, L. Vigneri, J. Prieto, H. Peixoto, & D. Arroyo (Eds.), Blockchain and Applications, 5th International Congress: BLOCKCHAIN 2023 (pp. 224-233). (Lecture Notes in Networks and Systems; Vol. 778). ...
Lyra, M. S., Damásio, B., Pinheiro, F. L., & Bacao, F. (2022). Fraud, corruption, and collusion in public procurement activities, a systematic literature review on data-driven methods. Applied Network Science, 7(1), 1-30. [83]. https://doi.org/10.1007/s41109-022-00523-6 --- MSL was fnancially supported by Tribunal de Contas do Estado do Ceará through a Ph.D. scholarship. FLP, FB and BD acknowledge the fnancial ...
Silva, H., António, N., & Bacao, F. (2022). A Rapid Semi-automated Literature Review on Legal Precedents Retrieval. In G. Marreiros, B. Martins, A. Paiva, B. Ribeiro, & A. Sardinha (Eds.), Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings (pp. 53-65). (Lecture Notes in Artificial Intelligence; Vol. 13566). ...
Silva, D., & Bacao, F. (2022). MapIntel: Enhancing Competitive Intelligence Acquisition Through Embeddings and Visual Analytics. In G. Marreiros, B. Martins, A. Paiva, A. Sardinha, & B. Ribeiro (Eds.), Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings (pp. 599-610). (Lecture Notes in Computer Science (inclu...
Lyra, M. S., Pinheiro, F. L., & Bacao, F. (2022). Public Procurement Fraud Detection: A Review Using Network Analysis. In R. M. Benito, C. Cherifi, H. Cherifi, E. Moro, L. M. Rocha, & M. Sales-Pardo (Eds.), Complex Networks & Their Applications X: Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 (Vol. 1) (Vol. I, pp. 116-129). (Studies in Computa...