9 citations · 10 across the 5 of their papers we have counts for
5 papers
DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions
Muhammad Shakeel Akram, Amal Htait, Abdul Hamid Sadka +2
Insurance fraud remains costly and operationally difficult, particularly in call-centre workflows where many customer interactions begin at FNOL. While recent fraud detection metho…
Dialogue to Detection: A Multimodal Hybrid NLP Pipeline for Insurance Fraud Detection
Muhammad Shakeel Akram, Amal Htait, Abdul Hamid Sadka +2
Insurance fraud imposes substantial financial losses and operational inefficiencies, raising premiums and impacting trust among legitimate policyholders. Early detection at FNOL re…
Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks
Pourya Shamsolmoali, Masoumeh Zareapoor, Linlin Shen +2
The fact that image datasets are often imbalanced poses an intense challenge for deep learning techniques. In this paper, we propose a method to restore the balance in imbalanced i…
Innovative 3D Depth Map Generation From A Holoscopic 3D Image Based on Graph Cut Technique
Bodor Almatrouk, Mohammad Rafiq Swash, Abdul Hamid Sadka
Holoscopic 3D imaging is a promising technique for capturing full colour spatial 3D images using a single aperture holoscopic 3D camera. It mimics fly's eye technique with a microl…
3D Holoscopic Imaging for Cultural Heritage Digitalisation
Taha Alfaqheri, Seif Allah El Mesloul Nasri, Abdul Hamid Sadka
The growing interest in archaeology has enabled the discovery of an immense number of cultural heritage assets and historical sites. Hence, preservation of CH through digitalisatio…