Multioutput Regression Neural Network Training via Gradient Boosting. - Seyedsaman Emami; Gonzalo Martínez-Muñoz (ESANN, 2022)

Multi-Task Gradient Boosting. - Seyedsaman Emami; Carlos Ruiz Pastor; Gonzalo Martínez-Muñoz (HAIS, 2023)

Sequential Training of Neural Networks With Gradient Boosting. - Seyedsaman Emami; Gonzalo Martínez-Muñoz (IEEE Access, 2023)

A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks. - Seyedsaman Emami; Gonzalo Martínez-Muñoz (CoRR, 2023)

Deep Learning for Multi-Output Regression Using Gradient Boosting. - Seyedsaman Emami; Gonzalo Martínez-Muñoz (IEEE Access, 2024)

Condensed-gradient boosting. - Seyedsaman Emami; Gonzalo Martínez-Muñoz (Int. J. Mach. Learn. Cybern., 2025)

Robust-Multi-Task Gradient Boosting. - Seyedsaman Emami; Gonzalo Martínez-Muñoz; Daniel Hernández-Lobato (CoRR, 2025)