81 citations · 96 across the 8 of their papers we have counts for
8 papers
Machine Learning-based Early Detection of Potato Sprouting Using Electrophysiological Signals
Davide Andreoletti, Aris Marcolongo, Natasa Sarafijanovic Djukic +8
Accurately predicting potato sprouting before the emergence of any visual signs is critical for effective storage management, as sprouting degrades both the commercial and nutritio…
The Magic XRoom: A Flexible VR Platform for Controlled Emotion Elicitation and Recognition
S. M. Hossein Mousavi, Matteo Besenzoni, Davide Andreoletti +2
Affective computing has recently gained popularity, especially in the field of human-computer interaction systems, where effectively evoking and detecting emotions is of paramount…
Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability
Fatima Ezzeddine, Mirna Saad, Omran Ayoub +5
Anomaly detection (AD), also referred to as outlier detection, is a statistical process aimed at identifying observations within a dataset that significantly deviate from the expec…
Liquid Neural Network-based Adaptive Learning vs. Incremental Learning for Link Load Prediction amid Concept Drift due to Network Failures
Omran Ayoub, Davide Andreoletti, Aleksandra Knapińska +6
Adapting to concept drift is a challenging task in machine learning, which is usually tackled using incremental learning techniques that periodically re-fit a learning model levera…
ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text
Sandra Mitrović, Davide Andreoletti, Omran Ayoub
ChatGPT has the ability to generate grammatically flawless and seemingly-human replies to different types of questions from various domains. The number of its users and of its appl…
The Virtual Emotion Loop: Towards Emotion-Driven Services via Virtual Reality
Davide Andreoletti, Luca Luceri, Tiziano Leidi +2
The importance of emotions in service and in product design is well known. However, it is still not very well understood how users' emotions can be incorporated in a product or ser…
Privacy-Preserving Multi-Operator Contact Tracing for Early Detection of Covid19 Contagions
Davide Andreoletti, Omran Ayoub, Silvia Giordano +2
The outbreak of coronavirus disease 2019 (covid-19) is imposing a severe worldwide lock-down. Contact tracing based on smartphones' applications (apps) has emerged as a possible so…
Infringement of Tweets Geo-Location Privacy: an approach based on Graph Convolutional Neural Networks
Luca Luceri, Davide Andreoletti, Silvia Giordano
The tremendous popularity gained by Online Social Networks (OSNs) raises natural concerns about user privacy in social media platforms. Though users in OSNs can tune their privacy…