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MLA

Antúnez-Muiños, Pablo, et al. "Assessing the Effectiveness of Textual Recommendations in KoopaML: A Comparative Study on Non-Expert Users' ML Pipeline Development." IJSWIS vol.20, no.1 2024: pp.1-21. http://doi.org/10.4018/IJSWIS.340727

APA

Antúnez-Muiños, P., Pérez-Sánchez, P., Vázquez-Ingelmo, A., García-Peñalvo, F. J., Sánchez-Puente, A., Vicente-Palacios, V., García-Holgado, A., Dorado-Díaz, P. I., Sampedro-Gómez, J., Cruz-González, I., & Sánchez, P. L. (2024). Assessing the Effectiveness of Textual Recommendations in KoopaML: A Comparative Study on Non-Expert Users' ML Pipeline Development. International Journal on Semantic Web and Information Systems (IJSWIS), 20(1), 1-21. http://doi.org/10.4018/IJSWIS.340727

Chicago

Antúnez-Muiños, Pablo, et al. "Assessing the Effectiveness of Textual Recommendations in KoopaML: A Comparative Study on Non-Expert Users' ML Pipeline Development," International Journal on Semantic Web and Information Systems (IJSWIS) 20, no.1: 1-21. http://doi.org/10.4018/IJSWIS.340727

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Assessing the Effectiveness of Textual Recommendations in KoopaML: A Comparative Study on Non-Expert Users' ML Pipeline Development

International Journal on Semantic Web and Information Systems (IJSWIS)

The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.


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