An Entropy-Based Architecture for Detection of Sepsis in Newborn Cry Diagnostic Systems von Khalilzad, Zahra, Kheddache, Yasmina, Tadj, Chakib

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Using CCA-Fused Cepstral Features in a Deep Learning-Based Cry Diagnostic System for Detecting an Ensemble of Pathologies in Newborns von Khalilzad, Zahra, Tadj, Chakib

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Nonlinear Statistical Analysis of Normal and Pathological Infant Cry Signals in Cepstrum Domain by Multifractal Wavelet Leaders von Lahmiri, Salim, Tadj, Chakib, Gargour, Christian

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Infant Cry Signal Diagnostic System Using Deep Learning and Fused Features von Zayed, Yara, Hasasneh, Ahmad, Tadj, Chakib

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Newborn Cry-Based Diagnostic System to Distinguish between Sepsis and Respiratory Distress Syndrome Using Combined Acoustic Features von Khalilzad, Zahra, Hasasneh, Ahmad, Tadj, Chakib

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Exploring the Impact of Image-Based Audio Representations in Classification Tasks Using Vision Transformers and Explainable AI Techniques von Masri, Sari, Hasasneh, Ahmad, Tami, Mohammad, Tadj, Chakib

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Transformer-Based Approach to Pathology Diagnosis Using Audio Spectrogram von Tami, Mohammad, Masri, Sari, Hasasneh, Ahmad, Tadj, Chakib

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Use of psychoacoustic spectrum warping, decision template fusion, and neighborhood component analysis in newborn cry diagnostic systems von Khalilzad, Zahra, Tadj, Chakib

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Machine Learning-Based Cry Diagnostic System for Identifying Septic Newborns von Matikolaie, Fatemeh Salehian, Tadj, Chakib

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Context-Based Method Using Bayesian Network in Multimodal Fission System von Zaguia, Atef, Tadj, Chakib, Ramdane-Cherif, Amar

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Identification of diseases in newborns using advanced acoustic features of cry signals von Kheddache, Yasmina, Tadj, Chakib

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Deep learning systems for automatic diagnosis of infant cry signals von Lahmiri, Salim, Tadj, Chakib, Gargour, Christian, Bekiros, Stelios

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Characterization of infant healthy and pathological cry signals in cepstrum domain based on approximate entropy and correlation dimension von Lahmiri, Salim, Tadj, Chakib, Gargour, Christian, Bekiros, Stelios

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Optimal tuning of support vector machines and k-NN algorithm by using Bayesian optimization for newborn cry signal diagnosis based on audio signal processing features von Lahmiri, Salim, Tadj, Chakib, Gargour, Christian, Bekiros, Stelios

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Resonance Frequencies Behavior in Pathologic Cries of Newborns von Kheddache, Yasmina, Tadj, Chakib

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Automated newborn cry diagnostic system using machine learning approach von Salehian Matikolaie, Fatemeh, Kheddache, Yasmina, Tadj, Chakib

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A fully automated approach for baby cry signal segmentation and boundary detection of expiratory and inspiratory episodes von Abou-Abbas, Lina, Tadj, Chakib, Fersaie, Hesam Alaie

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On the use of long-term features in a newborn cry diagnostic system von Salehian Matikolaie, Fatemeh, Tadj, Chakib

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Cry-Based Classification of Healthy and Sick Infants Using Adapted Boosting Mixture Learning Method for Gaussian Mixture Models von Farsaie Alaie, Hesam, Tadj, Chakib

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Cry-based infant pathology classification using GMMs von Farsaie Alaie, Hesam, Abou-Abbas, Lina, Tadj, Chakib

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