Appointment: Associate Professor

Research topics:

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

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51 to 60 of 888 Results
KAt_preprocessing.m
Oct 7, 2022 - Paderborn Domain Generalization Version
MATLAB Source Code - 4.0 KB - MD5: aa1cc18f7ba9b58dee193317dc0cdbf8
Loading_sample_generations.m
Oct 7, 2022 - Paderborn Domain Generalization Version
MATLAB Source Code - 3.0 KB - MD5: b8bddc13927304f7cca296f42849df25
lstm_data_generator.m
Oct 7, 2022 - Paderborn Domain Generalization Version
MATLAB Source Code - 2.5 KB - MD5: fc28c7b2f00c072d5bc9a5e45426260c
Conditional Contrastive Domain Generalization for Fault Diagnosis(Nanyang Technological University)
Oct 7, 2022
Paderborn Dataset Processed for Domain Adaptation Scenarios
Jun 16, 2022 - Self-Supervised Autoregressive Domain Adaptation for Time Series Data
Ragab, Mohamed, 2022, "Paderborn Dataset Processed for Domain Adaptation Scenarios", https://doi.org/10.21979/N9/X6M827, DR-NTU (Data), V1
The dataset contains sensor readings of bearing machines under 4 different operating conditions, with each having 3 different classes, i.e., healthy, inner-bearing damage, and outer-bearing damage. Each operating condition refers to different operating parameters, including rotat...
test_a.pt
Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios
Unknown - 106.6 MB - MD5: d49294b862a4e35223dcab0b33edc8b1
test_b.pt
Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios
Unknown - 106.6 MB - MD5: c36a04016da94f931902716115d67d25
test_c.pt
Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios
Unknown - 106.6 MB - MD5: 68d8777b709e59a4c0c64ecac14a9615
test_d.pt
Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios
Unknown - 106.6 MB - MD5: d25ca00424069d3fb42cf51f90be3ee5
train_a.pt
Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios
Unknown - 319.8 MB - MD5: 81425cf3defa3003e83f3a0e28ab5095
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