Seyedsaman Emami

According to our database, Seyedsaman Emami authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

Robust multi-task boosting using clustering and local ensembling.

Seyedsaman Emami, Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz

CoRR, February, 2026

Robust-multi-task gradient boosting.

Seyedsaman Emami, Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato

Expert Syst. Appl., 2026

2025

Condensed-gradient boosting.

Seyedsaman Emami, Gonzalo Martínez-Muñoz

Int. J. Mach. Learn. Cybern., January, 2025

Gradient Boosting Extensions ; Extensiones de Gradient Boosting.

Seyedsaman Emami

PhD thesis, 2025

2024

Deep Learning for Multi-Output Regression Using Gradient Boosting.

Seyedsaman Emami, Gonzalo Martínez-Muñoz

IEEE Access, 2024

2023

A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks.

Seyedsaman Emami, Gonzalo Martínez-Muñoz

CoRR, 2023

Sequential Training of Neural Networks With Gradient Boosting.

Seyedsaman Emami, Gonzalo Martínez-Muñoz

IEEE Access, 2023

Multi-Task Gradient Boosting.

Seyedsaman Emami, Carlos Ruiz Pastor, Gonzalo Martínez-Muñoz

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

2022

Multioutput Regression Neural Network Training via Gradient Boosting.

Seyedsaman Emami, Gonzalo Martínez-Muñoz

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022