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Diagnostics (Basel, Switzerland)|June 28, 2023
Infant Cry Signal Diagnostic System Using Deep Learning and Fused FeaturesYara Zayed, Ahmad Hasasneh, Chakib TadjDiagnostics (Basel, Switzerland)|November 26, 2022
Newborn Cry-Based Diagnostic System to Distinguish between Sepsis and Respiratory Distress Syndrome Using Combined Acoustic FeaturesZahra Khalilzad, Ahmad Hasasneh, Chakib TadjJournal of Voice : Official Journal of the Voice Foundation|September 2, 2014
Resonance frequencies behavior in pathologic cries of newbornsYasmina Kheddache, Chakib TadjDiagnostics (Basel, Switzerland)|March 11, 2023
Using CCA-Fused Cepstral Features in a Deep Learning-Based Cry Diagnostic System for Detecting an Ensemble of Pathologies in NewbornsZahra Khalilzad, Chakib TadjBiomedical Signal Processing and Control|December 7, 2020
Identification of Diseases in Newborns Using Advanced Acoustic Features of Cry SignalsYasmina Kheddache, Chakib TadjThe Journal of the Acoustical Society of America|February 4, 2024
Use of psychoacoustic spectrum warping, decision template fusion, and neighborhood component analysis in newborn cry diagnostic systemsZahra Khalilzad, Chakib TadjJournal of Voice : Official Journal of the Voice Foundation|February 23, 2022
Machine Learning-Based Cry Diagnostic System for Identifying Septic NewbornsFatemeh Salehian Matikolaie, Chakib TadjEntropy (Basel, Switzerland)|September 23, 2022
An Entropy-Based Architecture for Detection of Sepsis in Newborn Cry Diagnostic SystemsZahra Khalilzad, Yasmina Kheddache, Chakib TadjEntropy (Basel, Switzerland)|August 26, 2022
Nonlinear Statistical Analysis of Normal and Pathological Infant Cry Signals in Cepstrum Domain by Multifractal Wavelet LeadersSalim Lahmiri, Chakib Tadj, Christian GargourEntropy (Basel, Switzerland)|November 26, 2025
Distinguishing Between Healthy and Unhealthy Newborns Based on Acoustic Features and Deep Learning Neural Networks Tuned by Bayesian Optimization and Random Search AlgorithmSalim Lahmiri, Chakib Tadj, Christian GargourPageof 3