112 citations · 455 across the 21 of their papers we have counts for
9 papers · 1 filter
Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection
Owais Ishtiaq Siddiqui, Nouhaila Innan, Alberto Marchisio +2
Quantum Machine Learning (QML) has shown promise in diverse applications such as environmental monitoring, healthcare diagnostics, and financial modeling. However, its practical im…
Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection
Mansour El Alami, Nouhaila Innan, Muhammad Shafique +1
As financial fraud becomes increasingly complex, effective detection methods are essential. Quantum Machine Learning (QML) introduces certain capabilities that may enhance both acc…
LEP-QNN: Loan Eligibility Prediction using Quantum Neural Networks
Nouhaila Innan, Alberto Marchisio, Mohamed Bennai +1
Predicting loan eligibility with high accuracy remains a significant challenge in the finance sector. Accurate predictions enable financial institutions to make informed decisions,…
Designing Robust Quantum Neural Networks via Optimized Circuit Metrics
Walid El Maouaki, Alberto Marchisio, Taoufik Said +2
In this study, we investigated the robustness of Quanvolutional Neural Networks (QuNNs) in comparison to their classical counterparts, Convolutional Neural Networks (CNNs), against…
Quantum Clustering for Cybersecurity
Walid El Maouaki, Nouhaila Innan, Alberto Marchisio +3
In this study, we develop a novel quantum machine learning (QML) framework to analyze cybersecurity vulnerabilities using data from the 2022 CISA Known Exploited Vulnerabilities ca…
RobQuNNs: A Methodology for Robust Quanvolutional Neural Networks against Adversarial Attacks
Walid El Maouaki, Alberto Marchisio, Taoufik Said +2
Recent advancements in quantum computing have led to the emergence of hybrid quantum neural networks, such as Quanvolutional Neural Networks (QuNNs), which integrate quantum and cl…
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection
Nouhaila Innan, Alberto Marchisio, Mohamed Bennai +1
This study introduces the Quantum Federated Neural Network for Financial Fraud Detection (QFNN-FFD), a cutting-edge framework merging Quantum Machine Learning (QML) and quantum com…
FedQNN: Federated Learning using Quantum Neural Networks
Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio +2
In this study, we explore the innovative domain of Quantum Federated Learning (QFL) as a framework for training Quantum Machine Learning (QML) models via distributed networks. Conv…
Brain Tumor Diagnosis Using Quantum Convolutional Neural Networks
Muhammad Al-Zafar Khan, Abdullah Al Omar Galib, Nouhaila Innan +1
Accurate classification of brain tumors from MRI scans is critical for effective treatment planning. This study presents a Hybrid Quantum Convolutional Neural Network (HQCNN) that…