Department of Finance and Economics

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  • ELM Feature Selection and SOM Data Visualization for Nursing Survey Datasets

    Hu, R., Farag, A., Björk, K-M. & Lendasse, A., 2021, Proceedings of ELM2019. Cao, J., Vong, C. M., Miche, Y. & Lendasse, A. (eds.). Springer, p. 99-108 10 p. (Proceedings of ELM2019; vol. 14).

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

  • Extreme Learning Machines for Signature Verification

    Espinosa-Leal, L., Akusok, A., Lendasse, A. & Björk, K-M., 2021, Proceedings of ELM2019. Cao, J., Vong, C. M., Miche, Y. & Lendasse, A. (eds.). Springer, p. 31-40 10 p. (Proceedings of ELM2019; vol. 14).

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

  • Validating Untrained Human Annotations Using Extreme Learning Machines

    Forss, T., Espinosa-Leal, L., Akusok, A., Lendasse, A. & Björk, K-M., 2021, Proceedings of ELM2019. Cao, J., Vong, C. M., Miche, Y. & Lendasse, A. (eds.). Springer, p. 89-98 10 p. (Proceedings of ELM2019; vol. 14).

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review