Scikit-Weak: A Python Library for Weakly Supervised Machine Learning
A. Campagner, J. Lienen, E. Hüllermeier, D. Ciucci, in: Lecture Notes in Computer Science, Springer, 2022, pp. 57–70.
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Conference Paper
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Author
Campagner, Andrea;
Lienen, JulianLibreCat;
Hüllermeier, EykeLibreCat;
Ciucci, Davide
Publishing Year
Proceedings Title
Lecture Notes in Computer Science
Volume
13633
Page
57-70
Conference
International Joint Conference on Rough Sets
Conference Location
Suzhou, China
Conference Date
2022-11-11 – 2022-11-14
LibreCat-ID
Cite this
Campagner A, Lienen J, Hüllermeier E, Ciucci D. Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. In: Lecture Notes in Computer Science. Vol 13633. Springer; 2022:57-70.
Campagner, A., Lienen, J., Hüllermeier, E., & Ciucci, D. (2022). Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. Lecture Notes in Computer Science, 13633, 57–70.
@inproceedings{Campagner_Lienen_Hüllermeier_Ciucci_2022, title={Scikit-Weak: A Python Library for Weakly Supervised Machine Learning}, volume={13633}, booktitle={Lecture Notes in Computer Science}, publisher={Springer}, author={Campagner, Andrea and Lienen, Julian and Hüllermeier, Eyke and Ciucci, Davide}, year={2022}, pages={57–70} }
Campagner, Andrea, Julian Lienen, Eyke Hüllermeier, and Davide Ciucci. “Scikit-Weak: A Python Library for Weakly Supervised Machine Learning.” In Lecture Notes in Computer Science, 13633:57–70. Springer, 2022.
A. Campagner, J. Lienen, E. Hüllermeier, and D. Ciucci, “Scikit-Weak: A Python Library for Weakly Supervised Machine Learning,” in Lecture Notes in Computer Science, Suzhou, China, 2022, vol. 13633, pp. 57–70.
Campagner, Andrea, et al. “Scikit-Weak: A Python Library for Weakly Supervised Machine Learning.” Lecture Notes in Computer Science, vol. 13633, Springer, 2022, pp. 57–70.
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