2,921 to 2,930 of 3,295 Results
Tabular Data - 1.4 KB - 4 Variables, 27 Observations - UNF:6:y7x4q8SunuxkhsPwBRoCSw==
Stability of neutral and fermented sheep/ goat whey: Screening of Stabilizers |
Tabular Data - 1.6 KB - 11 Variables, 15 Observations - UNF:6:/Nwi4UpfqzGCbQWanPCmUg==
These data refer to the NIR backscatter measurement of beverages produced with goat and sheep whey. From these data it is possible to determine the destabilization of whey beverages during storage. |
Oct 9, 2023 -
Microbiology, physicochemical and structural data of goat and sheep cheese whey samples added with sugar and pectin
Tabular Data - 2.6 KB - 18 Variables, 24 Observations - UNF:6:Ag2Vsl/tjNynewPw/tOoLA==
Microbiology, physicochemical and structural data of goat and sheep cheese whey samples added with sugar and pectin |
Tabular Data - 2.3 KB - 11 Variables, 23 Observations - UNF:6:DN/gB/8lMv+Z7CcyNf512g==
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RAR Archive - 704.6 MB -
MD5: f433c739362def50a6edfa4c2471c854
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Sep 26, 2023 -
Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics
Tabular Data - 5.9 MB - 15 Variables, 48842 Observations - UNF:6:OHfKRD3JlsvMnf3iK3R/CA==
Adult Income Dataset |
Sep 26, 2023 -
Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics
RAR Archive - 459.0 KB -
MD5: 2d283c56971c459d10911f31488c8b02
Codes used to count lines on case studies 2 and 3 |
Sep 26, 2023 -
Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics
RAR Archive - 37.6 KB -
MD5: 4e4b84e25d2b9887f3359e12d504b062
System configuration files used in each experiment |
Sep 26, 2023 -
Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics
Unknown - 79.2 KB -
MD5: 7747fc3ebd57a0f879ec58841ee33286
German Credit Dataset, used in case study 1 |
Sep 26, 2023 -
Replication data for: A semi-autonomic framework for developing machine learning-based applications using fairness metrics
Tabular Data - 242.3 MB - 22 Variables, 1345310 Observations - UNF:6:UrOjDuI1TKgnS/J+za81NA==
Lendingclub Dataset, used in case studies 2 and 3 |
