Cooperative data-driven modeling. - Aleksandr Dekhovich; O. Taylan Turan; Jiaxiang Yi; Miguel A. Bessa (CoRR, 2022)

Continual prune-and-select: class-incremental learning with specialized subnetworks. - Aleksandr Dekhovich; David M. J. Tax; Marcel H. F. Sluiter; Miguel A. Bessa (Appl. Intell., 2023)

Continual learning by subnetwork creation and selection. - Aleksandr Dekhovich (2024)

Neural network relief: a pruning algorithm based on neural activity. - Aleksandr Dekhovich; David M. J. Tax; Marcel H. F. Sluiter; Miguel A. Bessa (Mach. Learn., 2024)

Sequential wafer map inspection via feedback loop with reinforcement learning. - Aleksandr Dekhovich; Oleg Soloviev; Michel Verhaegen (Expert Syst. Appl., 2025)

iPINNs: incremental learning for Physics-informed neural networks. - Aleksandr Dekhovich; Marcel H. F. Sluiter; David M. J. Tax; Miguel A. Bessa (Eng. Comput., 2025)

Continual learning for surface defect segmentation by subnetwork creation and selection. - Aleksandr Dekhovich; Miguel A. Bessa (J. Intell. Manuf., 2025)