Fast Adaptive Stacking of Ensembles Adaptation for Supporting Active Learning. a Real Case Application. - Agustín Alejandro Ortiz Díaz; Flavio Roberto Bayer; Fabiano Baldo; Alberto Verdecia-Cabrera; Laura Maria Palomino Mariño; Isvani Frías Blanco (ICNC-FSKD, 2018)

Cosine Similarity Drift Detector. - Juan Isidro González Hidalgo; Laura Maria Palomino Mariño; Roberto Souto Maior de Barros (ICANN (4), 2019)

Improving Fast Adaptive Stacking of Ensembles. - Laura Maria Palomino Mariño; Juan Isidro González Hidalgo; Roberto S. M. Barros; Germano C. Vasconcelos (IJCNN, 2019)

Comparative Study of Fast Stacking Ensembles Families Algorithms. - Laura Maria Palomino Mariño; Agustín Alejandro Ortiz Díaz; Germano Crispim Vasconcelos (BRACIS (2), 2020)

A new batch SOM algorithm for relational data with weighted medoids. - Laura M. P. Mariño; Francisco de A. T. de Carvalho (IJCNN, 2020)

Fase-AL - Adaptation of Fast Adaptive Stacking of Ensembles for Supporting Active Learning. - Agustín Alejandro Ortiz Díaz; Fabiano Baldo; Laura Maria Palomino Mariño; Alberto Verdecia-Cabrera (CoRR, 2020)

An Online Tree-Based Approach for Mining Non-Stationary High-Speed Data Streams. - Agustín Alejandro Ortiz Díaz; Isvani Inocencio Frías Blanco; Laura Maria Palomino Mariño; Fabiano Baldo (RITA, 2020)

Improving Diversity in Concept Drift Ensembles. - José Luis Martínez Pérez; Laura Maria Palomino Mariño; Roberto Souto Maior de Barros (SSCI, 2021)

Two weighted c-medoids batch SOM algorithms for dissimilarity data. - Laura M. P. Mariño; Francisco de A. T. de Carvalho (Inf. Sci., 2022)

Vector batch SOM algorithms for multi-view dissimilarity data. - Laura M. P. Mariño; Francisco de A. T. de Carvalho (Knowl. Based Syst., 2022)

Self-organizing maps with adaptive distances for multiple dissimilarity matrices. - Laura Maria Palomino Mariño; Francisco de Assis Tenório de Carvalho (Mach. Learn., 2024)