output
20172025
most citedIntegration of Machine Learning Techniques to Evaluate Dynamic Customer Segmentation Analysis for Mobile Customers

34 citations

5 papers

quant-ph2025

Bridging Theory and Practice in Quantum Game Theory: Optimized Implementation of the Battle of the Sexes with Error Mitigation on NISQ Hardware

Germán Díaz Agreda, Carlos Andres Duran Paredes, Mateo Buenaventura Samboni +2

Implementing quantum game theory on real hardware is challenging due to noise, decoherence, and limited qubit connectivity, yet such demonstrations are essential to validate theore…

q-bio.PE2025★ 1 cited

Identifying Heart Attack Risk in Vulnerable Population: A Machine Learning Approach

Subhagata Chattopadhyay, Amit K Chattopadhyay

The COVID-19 pandemic has significantly increased the incidence of post-infection cardiovascular events, particularly myocardial infarction, in individuals over 40. While the under…

q-bio.QM2025★ 1 cited

Hybrid Machine Learning and Mathematical Modeling for Tumor Dynamics Prediction: Comparing SPIONs against mNP-FDG

Amit K Chattopadhyay, Aimee Pascaline N Unkundiye, Gillian Pearce

This is a Machine Learning guided study towards zone-specific ray therapy. Combining Machine Learning (Extreme Gradient Boosting) with continuum modeling (exponential and logistic…

cs.CL2024★ 8 cited

Simulation, Modelling and Classification of Wiki Contributors: Spotting The Good, The Bad, and The Ugly

Silvia García Méndez, Fátima Leal, Benedita Malheiro +4

Data crowdsourcing is a data acquisition process where groups of voluntary contributors feed platforms with highly relevant data ranging from news, comments, and media to knowledge…

cs.CY2017★ 34 cited

Integration of Machine Learning Techniques to Evaluate Dynamic Customer Segmentation Analysis for Mobile Customers

Cormac Dullaghan, Eleni Rozaki

The telecommunications industry is highly competitive, which means that the mobile providers need a business intelligence model that can be used to achieve an optimal level of chur…