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MIDA performs an imputation data method based on a boosted and incremental approach and returns an imputed dataset. Please, insert all necessary information and press submit. If you do not want wait, an email with results will be sent to you. Some datasets to be used as examples can be downloaded here.

More details on this tool can be found in the paper:
Acampora, G., Vitiello, A., & Siciliano, R. (2020, July). MIDA: a Web Tool for MIssing DAta Imputation based on a Boosted and Incremental Learning Algorithm. In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-6). IEEE.

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Authors acknowledge financial support from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 689669 (MAGIC).



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Conventionality in research belongs to yesterday!

The QUASAR Lab is part of the Department of Physics "Ettore Pancini" of University of Naples Federico II,
where it is committed to perform research activities in theory and applications of
Computational Intelligence, Quantum Machine Intelligence and Cognitive Robotics.