Laurent Boué

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Single Parameter

Tennessee Eastman

Fault Detection

Top Venues

Publications

Manpreet Singh, Ravdeep Pasricha, Nitish Singh, Ravi Prasad Kondapalli, Manoj R, Kiran Rama, Laurent Boué
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)
Pranay Lohia, Laurent Boué, Sharath Ranganath, Vijay Agneeswaran
High Significant Fault Detection in Azure Core Workload Insights. AAAI (2024)
Pranay Lohia, Laurent Boué, Sharath Kumar Rangappa, Vijay Agneeswaran
High Significant Fault Detection in Azure Core Workload Insights. CoRR (2024)
Manpreet Singh, Ravdeep Pasricha, Ravi Prasad Kondapalli, Kiran Rama, Nitish Singh, Akshita Agarwalla, Manoj R, Manish Prabhakar, Laurent Boué
Fine-grained large-scale content recommendations for MSX sellers. CoRR (2024)
Dayananda Ubrangala, Juhi Sharma, Sharath Kumar Rangappa, Kiran Rama, Ravi Prasad Kondapalli, Laurent Boué
Searching, fast and slow, through product catalogs. CoRR (2024)
Nitin Agarwal, Ashish Kumar, Kiran Rama, Manish Gupta, Laurent Boué
Improving search relevance of Azure Cognitive Search by Bayesian optimization. CoRR (2023)
Laurent Boué, Pratap Kunireddy, Pavle Subotic
Automatically Resolving Data Source Dependency Hell in Large Scale Data Science Projects. CAIN (2023)
Dayananda Ubrangala, Juhi Sharma, Ravi Prasad Kondapalli, Kiran Rama, Amit Agarwala, Laurent Boué
Domain specificity and data efficiency in typo tolerant spell checkers: the case of search in online marketplaces. CoRR (2023)
Laurent Boué, Pratap Kunireddy, Pavle Subotic
A Data Source Dependency Analysis Framework for Large Scale Data Science Projects. CoRR (2022)
Laurent Boué
Real numbers, data science and chaos: How to fit any dataset with a single parameter. CoRR (2019)
Laurent Boué
Deep learning for pedestrians: backpropagation in CNNs. CoRR (2018)