A quantum autoencoder for multivariate time series anomaly detection achieves competitive performance with neural-network autoencoders using fewer trainable parameters.
Quantum autoencoder for enhanced fraud detection in imbalanced credit card dataset
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SQLyzr is a new evaluation platform that adds diverse metrics, realistic settings, query classification, and analysis features to overcome the single-score limitations of existing text-to-SQL benchmarks.
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Quantum Autoencoder for Multivariate Time Series Anomaly Detection
A quantum autoencoder for multivariate time series anomaly detection achieves competitive performance with neural-network autoencoders using fewer trainable parameters.
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A Demonstration of SQLyzr: A Platform for Fine-Grained Text-to-SQL Evaluation and Analysis
SQLyzr is a new evaluation platform that adds diverse metrics, realistic settings, query classification, and analysis features to overcome the single-score limitations of existing text-to-SQL benchmarks.