Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
In a Streaming World, Should You Stand Still? A Comprehensive Benchmark of Anomaly Detection in Streams
Published in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2026
Recommended citation: Magali Parrino, Antoine Ajenjo, Emmanuel Remy, Pierre Stephan, Pierre Senellart and Paul Boniol. (2026). "In a Streaming World, Should You Stand Still? A Comprehensive Benchmark of Anomaly Detection in Streams." KDD 2026.
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What Streaming Anomaly Detection Finds (and Misses) in Industrial Time Series
Published in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2026
Recommended citation: Magali Parrino, Antoine Ajenjo, Emmanuel Remy, Pierre Stephan and Paul Boniol. (2026). "What Streaming Anomaly Detection Finds (and Misses) in Industrial Time Series." ECML-PKDD.
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talks
Unsupervised Anomaly Detection in Multivariate Streaming Time Series
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
teaching
The Art of Computer Programming
International Bachelor of Science in AI, PSL University, 2026
Teaching Assistant for the course The Art of Computer Programming within the International Bachelor of Science in AI at PSL University.