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Veröffentlichungsdatum
Anzahl der Publikationen: 4
2022
Campagner, Andrea 
ORCID: https://orcid.org/0000-0002-0027-5157; Lienen, Julian ORCID: https://orcid.org/0000-0003-2162-8107; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Ciucci, Davide ORCID: https://orcid.org/0000-0002-8083-7809
(2022):
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning.
International Joint Conference on Rough Sets, Suzhou, China, 11-14 November 2022.
In: Rough Sets,
Bd. 13633
Cham: Springer. S. 57-70
ORCID: https://orcid.org/0000-0002-0027-5157; Lienen, Julian ORCID: https://orcid.org/0000-0003-2162-8107; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Ciucci, Davide ORCID: https://orcid.org/0000-0002-8083-7809
(2022):
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning.
International Joint Conference on Rough Sets, Suzhou, China, 11-14 November 2022.
In: Rough Sets,
Bd. 13633
Cham: Springer. S. 57-70
2021
Campagner, Andrea ORCID: https://orcid.org/0000-0002-0027-5157; Ciucci, Davide ORCID: https://orcid.org/0000-0002-8083-7809 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juni 2021):
Rough set-based feature selection for weakly labeled data.
In: International Journal of Approximate Reasoning: S. 150-167
ORCID: https://orcid.org/0000-0002-0027-5157; Ciucci, Davide ORCID: https://orcid.org/0000-0002-8083-7809 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juni 2021):
Rough set-based feature selection for weakly labeled data.
In: International Journal of Approximate Reasoning: S. 150-167
Campagner, Andrea; Ciucci, Davide und Hüllermeier, Eyke
(2021):
Rough set-based feature selection for weakly labeled data.
In: International Journal of Approximate Reasoning, Bd. 136: S. 150-167
2020
Campagner, Andrea ORCID: https://orcid.org/0000-0002-0027-5157; Ciucci, Davide ORCID: https://orcid.org/0000-0002-8083-7809 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juni 2020):
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory.
International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Lisbon, Portugal, 15-19 June 2020.
In: Information Processing and Management of Uncertainty in Knowledge-Based Systems,
Bd. 1237
Cham: Springer. S. 471-484
[PDF, 325kB]
ORCID: https://orcid.org/0000-0002-0027-5157; Ciucci, Davide ORCID: https://orcid.org/0000-0002-8083-7809 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juni 2020):
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory.
International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Lisbon, Portugal, 15-19 June 2020.
In: Information Processing and Management of Uncertainty in Knowledge-Based Systems,
Bd. 1237
Cham: Springer. S. 471-484
[PDF, 325kB]