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09/07/2021
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation
Identifying vulnerable code is a precautionary measure to counter softwa...
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05/25/2021
Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Advancements in deep learning and machine learning algorithms have enabl...
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11/27/2020
CASTELO: Clustered Atom Subtypes aidEd Lead Optimization – a combined machine learning and molecular modeling method
Drug discovery is a multi-stage process that comprises two costly major ...
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06/22/2020
Exploring Software Naturalness through Neural Language Models
The Software Naturalness hypothesis argues that programming languages ca...
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06/22/2020
Exploring Software Naturalness throughNeural Language Models
The Software Naturalness hypothesis argues that programming languages ca...
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07/31/2019
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Anti-money laundering (AML) regulations play a critical role in safeguar...
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02/26/2019