IEEE

Root Cause Debugging of Financial Forecast Failures Using Attention-Augmented LSTM and Local Interpretable Model Explanations (LIME)

Abstract: This study presents a hybrid interpretability framework for diagnosing financial forecast failures using attention-augmented Long Short-Term Memory (LSTM) networks in conjunction with Local ...
GitHub

bethington/cheat-engine-server-python

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IEEE

Classifying Programming Ability: A Machine Learning Approach Using Debugging Metrics

Abstract: The high failure rate in introductory programming courses (CS1) remains a persistent challenge, prompting research into predictive models that can identify struggling students early. This ...
GitHub

iflow-mcp/bethington-cheat-engine-server-python

This server operates in READ-ONLY mode for safety. It can read and analyze memory but cannot modify it. All operations are logged for security auditing.