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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Unknown - 3.1 MB - MD5: 764daa30997c2b2cbb2b5a51ad6453eb
TS-TCC_emadeldeen (Nanyang Technological University)
Mar 8, 2022
This dataverse contains the codes and preprocessed datasets for the IJCAI-21 work: "Time-Series Representation Learning via Temporal and Contextual Contrasting".
7Z Archive - 17.1 KB - MD5: 62ad8dec6da617bc7dc2992fcc573075
Code
Analysis scripts (for rule-based and random forest models, visualization, and some statistics). A small sample test data will be provided on request.
Tabular Data - 10.2 KB - 11 Variables, 84 Observations - UNF:6:LJ5Ya18vtvU92erY3iyLfA==
Data
List of incomplete influenza virus genomes that were extrapolated.
Tabular Data - 17.6 KB - 11 Variables, 145 Observations - UNF:6:NFU6GUKKhdlCJXRr6BXzDQ==
Data
List of partial influenza virus sequences that were extrapolated.
Tabular Data - 180.0 KB - 9 Variables, 2087 Observations - UNF:6:bSUeeZ/3TTCwfuWQ4zMqyg==
Data
Metadata of influenza sequences being collected, GISAID acknowledgement table and mutant/recombinant viruses being generated.
MS Word - 29.9 KB - MD5: 3f99aeb4dabe407b4819bc7e50fc5195
Data
List of references that provide virulence information of influenza virus infections in mice.
7Z Archive - 11.8 KB - MD5: 33653261f98c86e85fc76a8f649afb45
Code
Preprocessing scripts. A small sample test data will be provided on request.
MS Word - 303.1 KB - MD5: 9f34c1a16970ba2add0bf7a9971638f5
Documentation
Description of methods and steps taken for creating VI2VI datasets.
7Z Archive - 47.9 KB - MD5: e3c84250d93d54ce1008bdc98b07fa94
Data
Initial VI2VI dataset - preprocessed VI2VI-raw datasets (determining the lower or upper bound for MLD50, adding the virulence classes, etc.).
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