Aleksandr Dekhovich

According to our database, Aleksandr Dekhovich authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Continual learning for surface defect segmentation by subnetwork creation and selection.

Aleksandr Dekhovich, Miguel A. Bessa

J. Intell. Manuf., June, 2025

iPINNs: incremental learning for Physics-informed neural networks.

Aleksandr Dekhovich, Marcel H. F. Sluiter, David M. J. Tax, Miguel A. Bessa

Eng. Comput., February, 2025

Sequential wafer map inspection via feedback loop with reinforcement learning.

Aleksandr Dekhovich, Oleg Soloviev, Michel Verhaegen

Expert Syst. Appl., 2025

SupConWI-RL: Wafer Inspection with Reinforcement Learning Enhanced by Supervised Contrastive Learning.

Aleksandr Dekhovich, Oleg Soloviev

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

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., May, 2024

Continual learning by subnetwork creation and selection.

Aleksandr Dekhovich

PhD thesis, 2024

2023

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., July, 2023

2022

Cooperative data-driven modeling.

Aleksandr Dekhovich, O. Taylan Turan, Jiaxiang Yi, Miguel A. Bessa

CoRR, 2022