Research topics:

• Machine Learning and Statistical Inference
• Learning with Unlabeled Data
• Meta and Ensemble learning
• Ontology for Knowledge Representation

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271 to 280 of 879 Results
train_1.pt
May 27, 2022 - HHAR Processed Data
Unknown - 5.7 MB - MD5: 6df27916fc330e0077244458b524b49a
train_2.pt
May 27, 2022 - HHAR Processed Data
Unknown - 5.0 MB - MD5: 519b1ae060d906cbf13a3eee2ee7ca9f
train_3.pt
May 27, 2022 - HHAR Processed Data
Unknown - 4.8 MB - MD5: d9b85031550abcaf0d995334099c517e
train_4.pt
May 27, 2022 - HHAR Processed Data
Unknown - 5.3 MB - MD5: 1b2e1f4580179c7dd1d1f2de4e39247d
train_5.pt
May 27, 2022 - HHAR Processed Data
Unknown - 5.5 MB - MD5: 61d31166c350aa1b9aa59a48fada2879
train_6.pt
May 27, 2022 - HHAR Processed Data
Unknown - 5.3 MB - MD5: b4dbf894d90df42c0e0257e0377df13d
train_7.pt
May 27, 2022 - HHAR Processed Data
Unknown - 5.1 MB - MD5: e1306b7c777212cebe3c6e11e851baf5
train_8.pt
May 27, 2022 - HHAR Processed Data
Unknown - 5.5 MB - MD5: a86e3874d6e4e892668cc464c5f3ba8a
Processed version of C-MAPSS dataset
May 12, 2022
Ragab, Mohamed, 2022, "Processed version of C-MAPSS dataset", https://doi.org/10.21979/N9/FMUP9M, DR-NTU (Data), V1
C-MAPSS is a simulated turbofan engine dataset that consists of four data subsets with different operating conditions and fault modes denoted as FD001, FD002, FD003, and FD004.
cmapps_train_test_cross_domain.pt
May 12, 2022 - Processed version of C-MAPSS dataset
Unknown - 660.0 MB - MD5: 22db2917b7a3a4a1253cfdbb90d4e3f2
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