Fraud

2024 Workshop on Anomaly Detection

Workshop on Anomaly Detection


We’re pleased to invite you to take part in the symposium on anomaly detection to be held on February 29 at CentraleSupélec. It’s also an opportunity for your teams’ researchers/doctoral students to present their research work on the subject, either in the form of a 10-minute oral presentation, or a poster. Please send your intention to participate to chaire-lusis@centralesupelec.fr by 15th February 2024.

Subject: Symposium on anomaly detection

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Enhancing Trading Strategy Robustness through Anomaly Detection

This project explores the use of anomaly detection techniques, such as One-Class SVM, to identify the conditions under which algorithmic trading strategies are likely to succeed, ensuring their applicability and extending the approach to portfolio-wide strategy optimization.

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Graph-Based and Time-Series Hybrid Modeling for Fraud Detection

This project develops a hybrid fraud detection model by combining graph-based learning and time-series analysis to capture complex transaction relationships, aiming to enhance fraud prediction accuracy while minimizing false positives in large-scale payment datasets.

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JDSE 2022

The Junior Conference on DataScience and Engeneering 2022 (JDSE) took place on september 15-16, on the Polytechnique campus (Palaiseau).

Hugo Thimonier has the opportunity to present “TracInAD: Measuring Influence for Anomaly Detection” to the audience.

Marc Velay won the best poster contest with his poster about “Robustness Analysis of Deep RL for Portfolio Selection”.

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