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

no code implementations • 3 Dec 2023 • David Hason Rudd, Huan Huo, Md Rafiqul Islam, Guandong Xu

Our novel approach demonstrates a marked improvement in churn prediction, achieving a test accuracy of 91. 2%, a Mean Average Precision (MAP) score of 66, and a Macro-Averaged F1 score of 54 through the proposed hybrid fusion learning technique compared with late fusion and baseline models.

Speech Emotion Recognition

AutoCl : A Visual Interactive System for Automatic Deep Learning Classifier Recommendation Based on Models Performance

no code implementations • 24 Feb 2022 • Fuad Ahmed, Rubayea Ferdows, Md Rafiqul Islam, Abu Raihan M. Kamal

Nowadays, deep learning (DL) models being increasingly applied to various fields, people without technical expertise and domain knowledge struggle to find an appropriate model for their task.

AutoML Image Classification +1