Publications

Explore the publications of David Hason Rudd, a researcher and academic, covering a wide range of topics in data science, machine learning, and artificial intelligence. Discover his latest research findings and insights today.

• DDE-SER: A Dual-Decomposition Ensemble Framework Fusing Adaptive Variational Modes and Harmonic-Percussive Spectrograms for Speech Emotion Recognition

Download in PDF

• Investigate Organizational Member Engagement through Financial X-ray and Artificial Neural Networks

Download in PDF

• Speech Emotion Recognition Using Mel Spectrogram HPCA and Variational Mode Decomposition

Download in PDF

• Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data

Download in PDF

Codes: my GitHub repository

• VGG-optiVMD: An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance
  

Download in PDF

Codes: my GitHub repository

• Causal Analysis of Customer Churn Using Deep Learning

Download in PDF

Codes: my GitHub repository

• Predicting Financial Literacy via Semi-supervised Learning.

Download in PDF

Codes: my GitHub repository

• Leveraged mel spectrograms using harmonic and percussive components in speech emotion recognition

Download in PDF

Codes: my GitHub repository

• Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions

Download in PDF

Codes: my GitHub repository