E-LIB Suche - Ergebnisse für: Martínez Fernández, Silverio Juan - Sprache DE

Personensuche X

Sortierung: Relevanz

Sortierung: Jahr

1

Bayesian network analysis of software logs for data-driven ..:

Rey Juárez, Santiago del ; Martínez Fernández, Silverio Juan ; Salmerón Cerdán, Antonio
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/sfw2.12121. , 2023

Link: http://hdl.handle.net/21..

2

Training future ML engineers: a project-based course on MLO..:

Lanubile, Filippo ; Martínez Fernández, Silverio Juan ; Quaranta, Luigi
https://ieeexplore.ieee.org/document/10243109. , 2023

Link: http://hdl.handle.net/21..

3

Teaching MLOps in higher education through project-based le..:

Lanubile, Filippo ; Martínez Fernández, Silverio Juan ; Quaranta, Luigi
https://ieeexplore.ieee.org/document/10172734. , 2023

Link: http://hdl.handle.net/21..

4

Exploring the carbon footprint of Hugging Face's ML models:..:

Castaño Fernández, Joel ; Martínez Fernández, Silverio Juan ; Franch Gutiérrez, Javier.
https://ieeexplore.ieee.org/document/10304801. , 2023

Link: http://hdl.handle.net/21..

5

Applying project-based learning to teach software analytics..:

Martínez Fernández, Silverio Juan ; Gómez Seoane, Cristina ; Lenarduzzi, Valentina
https://www.ijee.ie/contents/c390223.html. , 2023

Link: http://hdl.handle.net/21..

6

Bayesian Network analysis of software logs for data‐driven ..:

del Rey, Santiago ; Salmerón Cerdán, Antonio ; Martínez Fernández, Silverio Juan
1751-8814. , 2023

Link: http://hdl.handle.net/10..

7

Guiding the retraining of convolutional neural networks aga..:

Durán López, Francisco Javier ; Martínez Fernández, Silverio Juan ; Felderer, Michael.
https://peerj.com/articles/cs-1454/. , 2023

Link: http://hdl.handle.net/21..

8

Energy efficiency of training neural network architectures:..:

Xu, Yinlena ; Martínez Fernández, Silverio Juan ; Martínez Martínez, Matías-Sebastián.
https://hdl.handle.net/10125/102727. , 2023

Link: http://hdl.handle.net/21..

9

DOGO4ML: Development, operation and data governance for ML-..:

Ayala Martínez, Claudia Patricia ; Bilalli, Besim ; Gómez Seoane, Cristina.
http://ceur-ws.org/Vol-3144/RP-paper3.pdf. , 2022

Link: http://hdl.handle.net/21..

10

Quality measurement in agile and rapid software development..:

López Cuesta, Lidia ; Burgués Illa, Xavier ; Martínez Fernández, Silverio Juan...
https://www.sciencedirect.com/science/article/pii/S0164121221002661. , 2022

Link: http://hdl.handle.net/21..

11

Architectural decisions in AI-based systems: an ontological..:

Franch Gutiérrez, Javier ; Martínez Fernández, Silverio Juan ; Ayala Martínez, Claudia Patricia.
https://link.springer.com/chapter/10.1007/978-3-031-14179-9_2. , 2022

Link: http://hdl.handle.net/21..

12

Software engineering for AI-based systems: A survey:

Martínez Fernández, Silverio Juan ; Bogner, Justus ; Franch Gutiérrez, Javier...
https://dl.acm.org/doi/10.1145/3487043. , 2022

Link: http://hdl.handle.net/21..

13

Towards suitable description of reference architectures:

Dias Valle, Pedro Henrique ; Garcés, Lina ; Volpato, Tiago..
https://peerj.com/articles/cs-392/. , 2021

Link: http://hdl.handle.net/21..

14

Dealing with non-functional requirements in model-driven de..:

Ameller, David ; Franch Gutiérrez, Javier ; Gómez Seoane, Cristina...
https://ieeexplore.ieee.org/document/8665968. , 2021

Link: http://hdl.handle.net/21..

15

Developing and operating artificial intelligence models in ..:

Martínez Fernández, Silverio Juan ; Franch Gutiérrez, Javier ; Jedlitschka, Andreas..
https://link.springer.com/chapter/10.1007%2F978-3-030-75018-3_14. , 2021

Link: http://hdl.handle.net/21..

1-15