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09/15/2023
Intent Detection at Scale: Tuning a Generic Model using Relevant Intents
Accurately predicting the intent of customer support requests is vital f...
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08/29/2023
Natural language to SQL in low-code platforms
One of the developers' biggest challenges in low-code platforms is retri...
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07/25/2023
The GANfather: Controllable generation of malicious activity to improve defence systems
Machine learning methods to aid defence systems in detecting malicious a...
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07/17/2023
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs
Many real-world datasets have an underlying dynamic graph structure, whe...
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09/21/2022
T5QL: Taming language models for SQL generation
Automatic SQL generation has been an active research area, aiming at str...
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12/14/2021
Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs
Money laundering is a global problem that concerns legitimizing proceeds...
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02/10/2021
GuiltyWalker: Distance to illicit nodes in the Bitcoin network
Money laundering is a global phenomenon with wide-reaching social and ec...
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05/29/2020
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity
Every year, criminals launder billions of dollars acquired from serious ...
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02/14/2020
ARMS: Automated rules management system for fraud detection
Fraud detection is essential in financial services, with the potential o...
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10/29/2019
A Survey on Subgraph Counting: Concepts, Algorithms and Applications to Network Motifs and Graphlets
Computing subgraph frequencies is a fundamental task that lies at the co...
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08/24/2018
