Laurent Boué

According to our database1, Laurent Boué authored at least 11 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

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Bibliography

2024
Fine-grained large-scale content recommendations for MSX sellers.
CoRR, 2024

High Significant Fault Detection in Azure Core Workload Insights.
CoRR, 2024

A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation.
CoRR, 2024

Searching, fast and slow, through product catalogs.
CoRR, 2024

High Significant Fault Detection in Azure Core Workload Insights.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Improving search relevance of Azure Cognitive Search by Bayesian optimization.
CoRR, 2023

Domain specificity and data efficiency in typo tolerant spell checkers: the case of search in online marketplaces.
CoRR, 2023

Automatically Resolving Data Source Dependency Hell in Large Scale Data Science Projects.
Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

2022
A Data Source Dependency Analysis Framework for Large Scale Data Science Projects.
CoRR, 2022

2019
Real numbers, data science and chaos: How to fit any dataset with a single parameter.
CoRR, 2019

2018
Deep learning for pedestrians: backpropagation in CNNs.
CoRR, 2018


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