| 2026 |
A Principled and Data-efficient Information-theoretic Method for Feature Selection |
Articolo in rivista |
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| 2026 |
Information-theoretic quantification of high-order feature effects in classification problems |
Articolo in rivista |
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| 2025 |
Assessment of sex-related differences in cardiovascular control using high-order feature importance |
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| 2025 |
Assessing Feature Importance in Cardiovascular Variability for the Classification of Physiological Stress |
Contributo in atti di convegno pubblicato in volume |
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| 2025 |
Partial information decomposition for discrete target and continuous source random variables |
Lettera |
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| 2025 |
A Signal Normalization Approach for Robust Driving Stress Assessment Using Multi-Domain Physiological Data |
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| 2024 |
Comparison of automatic and physiologically-based feature selection methods for classifying physiological stress using heart rate and pulse rate variability indices |
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| 2024 |
Classification of Physiological States Through Machine Learning Algorithms Applied to Ultra-Short-Term Heart Rate and Pulse Rate Variability Indices on a Single-Feature Basis |
Capitolo o Saggio |
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| 2024 |
Multi-Feature Classification of Physiological Stress in Cardiovascular and Cardiorespiratory Interactions |
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| 2024 |
Gender-Related Differences in Time and Spectral Entropy Rate Measures of Cardiovascular Variability |
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| 2024 |
Conditional Mutual Information-based Feature Selection for Sex Differences Characterization |
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| 2023 |
Comparison of Machine Learning Approaches for Physiological States Classification Using Heart Rate and Pulse Rate Variability Indices |
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