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Towards a Framework for Intelligent Sampling: Comprehensive Review of Challenges, AI Techniques, and Tools
Towards a Framework for Intelligent Sampling: Comprehensive Review of Challenges, AI Techniques, and Tools
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[u' @inproceedings{bonilla_towards_2025, address = {Cork, Ireland}, title = {Towards a {Framework} for {Intelligent} {Sampling}: {Comprehensive} {Review} of {Challenges}, {AI} {Techniques}, and {Tools}}, copyright = {https://doi.org/10.15223/policy-029}, shorttitle = {Towards a {Framework} for {Intelligent} {Sampling}}, url = {https://ieeexplore.ieee.org/document/11058678/}, doi = {10.1109/smartcomp65954.2025.00096}, urldate = {2025-07-07}, booktitle = {2025 {IEEE} {International} {Conference} on {Smart} {Computing} ({SMARTCOMP})}, publisher = {IEEE}, author = {Bonilla, Lander and Aguirre-Usandizaga, Jon and Garcia-Perez, Asier and Osa, Mar\xeda Jos\xe9 L\xf3pez and Belacortu, Idoia Murua and Diaz-de-Arcaya, J Osu and Aroca, Jordi Arjona and Torre-Bastida, Ana Isabel and Milio\xf1, Raul and Almeida, Aitor}, month = jun, year = {2025}, keywords = {Generative Adversarial Network, Intelligent Data Sampling, active learning, machine learning}, pages = {504--509}, } ']
Abstract