31 citations · 176 across the 37 of their papers we have counts for
5 papers · 1 filter
Unsupervised Deep Learning-based clustering for Human Activity Recognition
Hamza Amrani, Daniela Micucci, Paolo Napoletano
One of the main problems in applying deep learning techniques to recognize activities of daily living (ADLs) based on inertial sensors is the lack of appropriately large labelled d…
Non-Functional Testing of Runtime Enforcers in Android
Oliviero Riganelli, Daniela Micucci, Leonardo Mariani
Runtime enforcers can be used to ensure that running applications satisfy desired correctness properties. Although runtime enforcers that are correct-by-construction with respect t…
Proactive Libraries: Enforcing Correct Behaviors in Android Apps
Oliviero Riganelli, Ionut Daniel Fagadau, Daniela Micucci +1
The Android framework provides a rich set of APIs that can be exploited by developers to build their apps. However, the rapid evolution of these APIs jointly with the specific char…
Homogenization of Existing Inertial-Based Datasets to Support Human Activity Recognition
Hamza Amrani, Daniela Micucci, Marco Mobilio +1
Several techniques have been proposed to address the problem of recognizing activities of daily living from signals. Deep learning techniques applied to inertial signals have prove…
Exception-Driven Fault Localization for Automated Program Repair
Davide Ginelli, Oliviero Riganelli, Daniela Micucci +1
Automated Program Repair (APR) techniques typically exploit spectrum-based fault localization (SBFL) to identify the program locations that should be patched, making the effectiven…