Machine Learning

Reinforcement learning trading strategy analysis

Explaining the decisions of reinforcement learning agents for portfolio management and comparing them with technical trading indicators.

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Supervised deep learning for fraud detection

Evaluating supervised deep learning for credit card fraud detection on imbalanced tabular data.

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Autoencoders for trading

Predictive models based on autoencoders.

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FraudMemory

Reimplementation of the FraudMemory Architecture.

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Rules Extraction

Extracting readable rules from machine learning models for payment fraud detection.

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Temporal Point Processes

Machine learning applied to Hawkes processes.

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Automated playlists

An investigation about the automation of playlists building for a music provider.

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Explaining classifiers

Comparing LIME and SHAP explanations of credit card fraud classifiers.

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Fraud detection by graphs

An investigation about using graph models and deep learning.

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Metrics for trading

Designing metrics that reflect the potential profitability of market prediction models.

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