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Dive into the research topics where Karina Brotto Rebuli is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Slim: a Python Library for the non-bloating SLIM-GSGP algorithm [poster]
Rosenfeld, L., Farinati, D., Rasteiro, D., Pietropolli, G., Rebuli, K. B., Silva, S. & Vanneschi, L., 27 Sept 2024, (Unpublished) p. 1. 1 p.Research output: Contribution to conference › Poster
File44 Downloads (Pure) -
A Comparison of Structural Complexity Metrics for Explainable Genetic Programming [Poster]
Rebuli, K. B., Giacobini, M., Silva, S. & Vanneschi, L., 24 Jul 2023, GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. Silva, S. & Paquete, L. (eds.). New York: ACM - Association for Computing Machinery, p. 539–542 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile11 Link opens in a new tab Citations (Scopus)119 Downloads (Pure) -
Single and Multi-objective Genetic Programming Methods for Prediction Intervals
Brotto Rebuli, K., Giacobini, M., Tallone, N. & Vanneschi, L., 30 Apr 2023, Artificial Life and Evolutionary Computation: 16th Italian Workshop, WIVACE 2022, Gaeta, Italy, September 14–16, 2022, Revised Selected Papers. de Stefano, C., Fontanella, F. & Vanneschi, L. (eds.). Gewerbestrasse, Cham, Switzerland: Springer, Cham, p. 205-218 14 p. (Communications in Computer and Information Science; vol. 1780).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile10 Downloads (Pure) -
An Empirical Study of Progressive Insular Cooperative GP
Rebuli, K. B. & Vanneschi, L., 1 Mar 2022, In: SN Computer Science. 3, 2, p. 1-16 16 p., 119.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Citation (Scopus) -
A preliminary study of prediction interval methods with genetic programming
Rebuli, K. B., Giacobini, M., Tallone, N. & Vanneschi, L., 19 Jul 2022, GECCO’22 Companion : Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion. ACM - Association for Computing Machinery, p. 530-533 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review