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Seyedsaman Emami

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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2026
[j4]
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Seyedsaman Emami, Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato:
Robust-multi-task gradient boosting. Expert Syst. Appl. 303: 130696 (2026)
[i4]
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  - journals/corr/abs-2602-14231
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Seyedsaman Emami, Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz:
Robust multi-task boosting using clustering and local ensembling. CoRR abs/2602.14231 (2026)
2025
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Seyedsaman Emami:
Gradient Boosting Extensions ; Extensiones de Gradient Boosting. Autonomous University of Madrid, Spain, 2025
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Seyedsaman Emami, Gonzalo Martínez-Muñoz:
Condensed-gradient boosting. Int. J. Mach. Learn. Cybern. 16(1): 687-701 (2025)
[i3]
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  - journals/corr/abs-2507-11411
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Seyedsaman Emami, Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato:
Robust-Multi-Task Gradient Boosting. CoRR abs/2507.11411 (2025)
2024
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Seyedsaman Emami, Gonzalo Martínez-Muñoz:
Deep Learning for Multi-Output Regression Using Gradient Boosting. IEEE Access 12: 17760-17772 (2024)
2023
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Seyedsaman Emami, Gonzalo Martínez-Muñoz:
Sequential Training of Neural Networks With Gradient Boosting. IEEE Access 11: 42738-42750 (2023)
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Seyedsaman Emami, Carlos Ruiz Pastor, Gonzalo Martínez-Muñoz:
Multi-Task Gradient Boosting. HAIS 2023: 97-107
[i2]
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  - journals/corr/abs-2302-11327
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Seyedsaman Emami, Gonzalo Martínez-Muñoz:
A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks. CoRR abs/2302.11327 (2023)
2022
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Seyedsaman Emami, Gonzalo Martínez-Muñoz:
Multioutput Regression Neural Network Training via Gradient Boosting. ESANN 2022
[i1]
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  - journals/corr/abs-2211-14599
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Seyedsaman Emami, Gonzalo Martínez-Muñoz:
Condensed Gradient Boosting. CoRR abs/2211.14599 (2022)

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