KWOH Chee Keong

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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61 to 70 of 879 Results

val_a.pt Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios Unknown - 106.6 MB - MD5: 07d638049defa8978924ee152f6c5976
val_b.pt Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios Unknown - 106.6 MB - MD5: 7c5564f0283388aa64b4a98491d824ef
val_c.pt Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios Unknown - 106.6 MB - MD5: e205028b35a71cb5489f889f076dcda2
val_d.pt Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios Unknown - 106.6 MB - MD5: 47f5248275dc1795ed084bd0a8a499c5
UCI HAR Dataset Processed May 27, 2022 - ADATIME Ragab, Mohamed; Eldele, Emadeldeen, 2022, "UCI HAR Dataset Processed", https://doi.org/10.21979/N9/0SYHTZ, DR-NTU (Data), V1 UCIHAR is one of the most widely used datasets to evaluate performance on time series data. It contains three different sensors namely, accelerometer, gyroscope, and body sensors. These sensors have been used to collect data from 30 different persons. In our experiments, we treat...
DA_settings.ipynb May 27, 2022 - UCI HAR Dataset Processed Jupyter Notebook - 7.6 KB - MD5: b36404a208e0a1d8bb3d277e16f6421e
DA_settings.py May 27, 2022 - UCI HAR Dataset Processed Python Source Code - 5.6 KB - MD5: c0b9a0a5b7d1faf5f5124a5db641b487
Subject_wise_loader.ipynb May 27, 2022 - UCI HAR Dataset Processed Jupyter Notebook - 15.7 KB - MD5: ccdfa2b866605928618b54812ea09408
superfised_settings.py May 27, 2022 - UCI HAR Dataset Processed Python Source Code - 4.5 KB - MD5: 3adb410b787c9aa64e595eb33aa236bf
supervised_settings.ipynb May 27, 2022 - UCI HAR Dataset Processed Jupyter Notebook - 17.8 KB - MD5: d602968131da94b554e32a64d117dac2

val_a.pt

Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios

Unknown - 106.6 MB -

val_b.pt

Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios

Unknown - 106.6 MB -

val_c.pt

Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios

Unknown - 106.6 MB -

val_d.pt

Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios

Unknown - 106.6 MB -

UCI HAR Dataset Processed

May 27, 2022 - ADATIME

Ragab, Mohamed; Eldele, Emadeldeen, 2022, "UCI HAR Dataset Processed", https://doi.org/10.21979/N9/0SYHTZ, DR-NTU (Data), V1

UCIHAR is one of the most widely used datasets to evaluate performance on time series data. It contains three different sensors namely, accelerometer, gyroscope, and body sensors. These sensors have been used to collect data from 30 different persons. In our experiments, we treat...

DA_settings.ipynb