activity
20202025
most citedUsing GAN to Enhance the Accuracy of Indoor Human Activity Recognition

21 citations · 22 across the 3 of their papers we have counts for

collaborators

5 papers

eess.IV2025

A Total Variation Regularized Framework for Epilepsy-Related MRI Image Segmentation

Mehdi Rabiee, Sergio Greco, Reza Shahbazian +1

Focal Cortical Dysplasia (FCD) is a primary cause of drug-resistant epilepsy and is difficult to detect in brain {magnetic resonance imaging} (MRI) due to the subtle and small-scal…

cs.AI2024★ 1 cited

Even-if Explanations: Formal Foundations, Priorities and Complexity

Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio +3

EXplainable AI has received significant attention in recent years. Machine learning models often operate as black boxes, lacking explainability and transparency while supporting de…

cs.NI2021

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…

eess.SP2021

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…

eess.SP2020★ 21 cited

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…