39 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
7 papers
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…
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…
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…
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…
Visual cues in estimation of part-to-whole comparison
Stephen Redmond
Pie charts were first published in 1801 by William Playfair and have caused some controversy since. Despite the suggestions of many experts against their use, several empirical stu…
Sensor scheduling with time, energy and communication constraints
Cristian Rusu, John Thompson, Neil M. Robertson
In this paper we present new algorithms and analysis for the linear inverse sensor placement and scheduling problems over multiple time instances with power and communications cons…
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…