Peer-reviewed journals
Emami, Seyedsaman, Daniel Hernández-Lobato, and Gonzalo Martínez-Muñoz. "Robust Multi-Task Boosting Using Clustering and Local Ensembling." Neurocomputing, 2026, article 134327. https://doi.org/10.1016/j.neucom.2026.134327 .
DOI: 10.1016/j.neucom.2026.134327Shahin, Taraneh, and Seyedsaman Emami. "Learning Shared Economic Representations through the Application of Multi-Task Gradient Boosting." Computational Economics, 2026. https://doi.org/10.1007/s10614-026-11358-z .
DOI: 10.1007/s10614-026-11358-zEmami, Seyedsaman, Gonzalo Martínez-Muñoz, and Daniel Hernández-Lobato. "Robust-Multi-Task Gradient Boosting." Expert Systems with Applications, vol. 303, 2026, article 130696. https://doi.org/10.1016/j.eswa.2025.130696 .
DOI: 10.1016/j.eswa.2025.130696Emami, Seyedsaman, and Gonzalo Martínez-Muñoz. "Condensed-Gradient Boosting." International Journal of Machine Learning and Cybernetics, vol. 16, 2025, pp. 687–701. https://doi.org/10.1007/s13042-024-02279-0 .
DOI: 10.1007/s13042-024-02279-0Emami, Seyedsaman, and Gonzalo Martínez-Muñoz. "Deep Learning for Multi-Output Regression Using Gradient Boosting." IEEE Access, vol. 12, 2024, pp. 17760–17772. https://doi.org/10.1109/ACCESS.2024.3359115 .
DOI: 10.1109/ACCESS.2024.3359115Emami, Seyedsaman, and Gonzalo Martínez-Muñoz. "A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks." IEEE Open Journal of Signal Processing, vol. 4, 2023, pp. 313–321. https://doi.org/10.1109/OJSP.2023.3279011 .
DOI: 10.1109/OJSP.2023.3279011Emami, Seyedsaman, and Gonzalo Martínez-Muñoz. "Sequential Training of Neural Networks with Gradient Boosting." IEEE Access, vol. 11, 2023, pp. 42738–42750. https://doi.org/10.1109/ACCESS.2023.3271515 .
DOI: 10.1109/ACCESS.2023.3271515Conferences
Emami, Seyedsaman, Cristina Ruiz Pastor, and Gonzalo Martínez-Muñoz. "Multi-Task Gradient Boosting." Hybrid Artificial Intelligent Systems, edited by Francisco Martínez-Álvarez et al., Lecture Notes in Computer Science, vol. 14001, Springer, 2023. https://doi.org/10.1007/978-3-031-40725-3_9 .
DOI: 10.1007/978-3-031-40725-3_9Emami, Seyedsaman, and Gonzalo Martínez-Muñoz. "Multioutput Regression Neural Network Training via Gradient Boosting." Proceedings of the 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2022, Bruges, Belgium, 2022, pp. 95–100. https://doi.org/10.14428/esann/2022.ES2022-95 .
DOI: 10.14428/esann/2022.ES2022-95Ph.D. thesis
Emami, Seyedsaman. Gradient Boosting Extensions. 2024. Universidad Autónoma de Madrid, PhD dissertation. https://repositorio.uam.es/handle/10486/717883 .
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