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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext