132 citations · 344 across the 12 of their papers we have counts for
12 papers
Resource Saving via Ensemble Techniques for Quantum Neural Networks
Massimiliano Incudini, Michele Grossi, Andrea Ceschini +4
Quantum neural networks hold significant promise for numerous applications, particularly as they can be executed on the current generation of quantum hardware. However, due to limi…
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
Massimiliano Incudini, Michele Grossi, Antonio Mandarino +3
Building a quantum analog of classical deep neural networks represents a fundamental challenge in quantum computing. A key issue is how to address the inherent non-linearity of cla…
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Hojjat Navidan, Parisa Fard Moshiri, Mohammad Nabati +4
Despite the recency of their conception, Generative Adversarial Networks (GANs) constitute an extensively researched machine learning sub-field for the creation of synthetic data t…
Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach
Mohammad Nabati, Hojjat Navidan, Reza Shahbazian +2
Human-centered data collection is typically costly and implicates issues of privacy. Various solutions have been proposed in the literature to reduce this cost, such as crowdsource…
Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition
Parisa Fard Moshiri, Hojjat Navidan, Reza Shahbazian +2
Indoor human activity recognition (HAR) explores the correlation between human body movements and the reflected WiFi signals to classify different activities. By analyzing WiFi sig…
Automatic Delineation of Kidney Region in DCE-MRI
Santosh Tirunagari, Norman Poh, Kevin Wells +3
Delineation of the kidney region in dynamic contrast-enhanced magnetic resonance Imaging (DCE-MRI) is required during post-acquisition analysis in order to quantify various aspects…