Feature Selection for Anomaly Detection in Banking Transactions Based on Deep Learning and Reconstruction Error

Alayn Lado Chaviano, Vladimir Milián Núñez, Orlando Grabiel Toledano-López. Feature Selection for Anomaly Detection in Banking Transactions Based on Deep Learning and Reconstruction Error. In Yanio Hernádez-Heredia, Vladimir Milián Núñez, José Ruiz-Shulcloper, editors, Progress in Artificial Intelligence and Pattern Recognition - 9th International Congress, IWAIPR 2025, Varadero, Cuba, October 14-17, 2025, Proceedings. Volume 16328 of Lecture Notes in Computer Science, pages 268-278, Springer, 2025. [doi]

@inproceedings{ChavianoNT25,
  title = {Feature Selection for Anomaly Detection in Banking Transactions Based on Deep Learning and Reconstruction Error},
  author = {Alayn Lado Chaviano and Vladimir Milián Núñez and Orlando Grabiel Toledano-López},
  year = {2025},
  doi = {10.1007/978-3-032-11358-0_22},
  url = {https://doi.org/10.1007/978-3-032-11358-0_22},
  researchr = {https://researchr.org/publication/ChavianoNT25},
  cites = {0},
  citedby = {0},
  pages = {268-278},
  booktitle = {Progress in Artificial Intelligence and Pattern Recognition - 9th International Congress, IWAIPR 2025, Varadero, Cuba, October 14-17, 2025, Proceedings},
  editor = {Yanio Hernádez-Heredia and Vladimir Milián Núñez and José Ruiz-Shulcloper},
  volume = {16328},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-032-11358-0},
}