Diverse training dataset generation based on a multi-objective optimization for semi-Supervised classification. - Zahra Donyavi; Shahrokh Asadi (Pattern Recognit., 2020)

Using decomposition-based multi-objective evolutionary algorithm as synthetic example optimization for self-labeling. - Zahra Donyavi; Shahrokh Asadi (Swarm Evol. Comput., 2020)

Ensembles of Classifiers and Quantifiers with Data Fusion for Quantification Learning. - Adriane Beatriz de Souza Serapião; Zahra Donyavi; Gustavo Batista (DS, 2023)

MC-SQ: A Highly Accurate Ensemble for Multi-class Quantification. - Zahra Donyavi; Adriane Serapio; Gustavo Batista (SDM, 2023)

MC-SQ and MC-MQ: Ensembles for Multi-Class Quantification. - Zahra Donyavi; Adriane Beatriz de Souza Serapião; Gustavo Batista (IEEE Trans. Knowl. Data Eng., 2024)

MetaQuant: A framework for metaheuristic based quantification. - Adriane Beatriz de Souza Serapião; Zahra Donyavi; Gustavo Batista (Appl. Soft Comput., 2025)