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AutoRank: MCDA Based Rank Personalization for LoRA-Enabled Distributed Learning

Autor: Chen, Shuaijun, Tavallaie, Omid, Nazemi, Niousha, Chen, Xin, Zomaya, Albert Y.

As data volumes expand rapidly, distributed machine learning has become essential for addressing the growing computational demands of modern AI systems. However, training models in distributed environments is challenging with participants hold skew,

Externí odkaz: http://arxiv.org/abs/2412.15553

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The value of the reflective discussion in decision-making using multi-criteria decision analysis (MCDA): an example of determining the value contribution of tabelecleucel for the treatment of the Epstein Barr virus-positive post-transplant lymphoproliferative disease (EBV⁺ PTLD)

Autor: Badia, Xavier¹ (AUTHOR) xbadia@omakaseconsulting.com, Calleja, Miguel Ángel² (AUTHOR), Escudero-Vilaplana, Vicente³ (AUTHOR), Pérez-Martínez, Antonio⁴ (AUTHOR), Piñana, José Luis⁵ (AUTHOR), Poveda, José Luis⁶ (AUTHOR), Vallès, Joan-Antoni⁷ (AUTHOR)

Publikováno v: Orphanet Journal of Rare Diseases. 8/23/2024, Vol. 19 Issue 1, p1-13. 13p.

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Optimal site selection for floating photovoltaic systems based on Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA): a case study.

Autor: Di Grazia, Salvatore¹ (AUTHOR) digraziasal@tiscali.it, Tina, Giuseppe Marco¹ (AUTHOR)

Publikováno v: International Journal of Sustainable Energy. Dec2024, Vol. 43 Issue 1, p1-23. 23p.

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Financial Performance of BIST Sustainability Index Enterprises: Unearthing the Most Optimum MCDA Methods for Decision-Makers

Autor: Orhan Emre Elma

Publikováno v: Verimlilik Dergisi, Vol 58, Iss 4, Pp 461-478 (2024)

Purpose: The aim of this study is to examine the financial performance of companies traded in BIST Sustainability index using 7 MCDA applications. Although there have been previous studies on aforementioned index, this study will be the first compara

Externí odkaz: https://doaj.org/article/62ecf333c6574b1481d16aa6af55c5be

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Autor: Xavier Badia, Miguel Ángel Calleja, Vicente Escudero-Vilaplana, Antonio Pérez-Martínez, José Luis Piñana, José Luis Poveda, Joan-Antoni Vallès

Publikováno v: Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-13 (2024)

Abstract Background The aim of this study was to assess the contribution of the reflective multidisciplinary discussion in determining the value contribution of innovative drugs through the multi-criteria decision analysis (MCDA). This methodology co

Externí odkaz: https://doaj.org/article/4d63a80e3d964c45aa87a2e03bd1deca

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Version [1.3]- [pyrepo-mcda - Reference objects based MCDA software package]

Autor: Aleksandra Bączkiewicz, Jarosław Wątróbski, Kesra Nermend, Wojciech Sałabun

Publikováno v: SoftwareX, Vol 28, Iss , Pp 101876- (2024)

This paper presents the pyrepo-mcda Python package upgrade with the implementation of the Preference Vector Method (PVM) multi-criteria method. This upgrade extends the scope of multi-criteria decision analysis offered by this package. Several advant

Externí odkaz: https://doaj.org/article/ea17231d0f1f444990ed8ccae0e69438

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