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Alejandro Reina

Alejandro Reina-Reina

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Journal Articles

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2024
[j3]
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  - journals/csi/BarreraRLMT24
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  - https://dblp.org/rec/journals/csi/BarreraRLMT24
Jose M. Barrera, Alejandro Reina-Reina, Ana Lavalle, Alejandro Maté, Juan Trujillo:
An extension of iStar for Machine Learning requirements by following the PRISE methodology. Comput. Stand. Interfaces 88: 103806 (2024)
2022
[j2]
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  - journals/mlc/BarreraRMM22
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Jose M. Barrera, Alejandro Reina, Alejandro Mate, Juan Carlos Trujillo Mondéjar:
Fault detection and diagnosis for industrial processes based on clustering and autoencoders: a case of gas turbines. Int. J. Mach. Learn. Cybern. 13(10): 3113-3129 (2022)
2020
[j1]
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  - journals/access/Munoz-TerolRZG20
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Rafael Muñoz-Terol, Alejandro Reina, Saber Ziaei, David Gil:
A Machine Learning Approach to Reduce Dimensional Space in Large Datasets. IEEE Access 8: 148181-148192 (2020)

Conference and Workshop Papers

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2022
[c2]
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  dblp key:
  - conf/istar/BarreraRG022
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Jose M. Barrera, Alejandro Reina-Reina, Sandra García-Ponsoda, Juan Trujillo:
Use of a i* Extension for Machine Learning: a Real Case Study. iStar 2022: 14-20
2021
[c1]
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Jose M. Barrera, Alejandro Reina, Alejandro Maté, Juan C. Trujillo:
Applying i* in Conceptual Modelling in Machine Learning. iStar 2021: 56-62

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