Výsledky vyhledávání

Report

Predicting Financial Literacy via Semi-supervised Learning

Autor: Rudd, David Hason, Huo, Huan, Xu, Guandong

Publikováno v: Advances in Artificial Intelligence. AI 2022. Lecture Notes in Computer Science(), vol 13151. Springer, Cham

Financial literacy (FL) represents a person's ability to turn assets into income, and understanding digital currencies has been added to the modern definition. FL can be predicted by exploiting unlabelled recorded data in financial networks via semi-

Externí odkaz: http://arxiv.org/abs/2312.10984

Zobrazit plný text záznamu

Report

Leveraged Mel spectrograms using Harmonic and Percussive Components in Speech Emotion Recognition

Autor: Rudd, David Hason, Huo, Huan, Xu, Guandong

Publikováno v: Advances in Knowledge Discovery and Data Mining. PAKDD 2022. Lecture Notes in Computer Science(), vol 13281. Springer, Cham

Speech Emotion Recognition (SER) affective technology enables the intelligent embedded devices to interact with sensitivity. Similarly, call centre employees recognise customers' emotions from their pitch, energy, and tone of voice so as to modify th

Externí odkaz: http://arxiv.org/abs/2312.10949

Zobrazit plný text záznamu

Report

An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance

Autor: Rudd, David Hason, Huo, Huan, Xu, Guandong

Publikováno v: Advances in Knowledge Discovery and Data Mining. PAKDD 2023. Lecture Notes in Computer Science(), vol 13937. Springer, Cham

Emotion recognition (ER) from speech signals is a robust approach since it cannot be imitated like facial expression or text based sentiment analysis. Valuable information underlying the emotions are significant for human-computer interactions enabli

Externí odkaz: http://arxiv.org/abs/2312.10937

Zobrazit plný text záznamu

Report

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

Autor: Rudd, David Hason, Huo, Huan, Islam, Md Rafiqul, Xu, Guandong

In todays competitive landscape, businesses grapple with customer retention. Churn prediction models, although beneficial, often lack accuracy due to the reliance on a single data source. The intricate nature of human behavior and high dimensional cu

Externí odkaz: http://arxiv.org/abs/2312.01301

Zobrazit plný text záznamu

Report

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

Autor: Rudd, David Hason, Huo, Huan, Xu, Guandong

Publikováno v: Human-Centric Intelligent Systems 2022, P(70-80)

Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Customer acquisition cost can be five to six times that of customer retention, hence investing in customers with churn risk is

Externí odkaz: http://arxiv.org/abs/2304.11503

Zobrazit plný text záznamu

Report

Causal Analysis of Customer Churn Using Deep Learning

Autor: Rudd, David Hason, Huo, Huan, Xu, Guandong

Publikováno v: 021 International Conference on Digital Society and Intelligent Systems (DSInS), 2021, pp. 319-324

Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Two main business marketing strategies play vital roles to increase market share dollar-value: gaining new and preserving exis

Externí odkaz: http://arxiv.org/abs/2304.10604

Zobrazit plný text záznamu