Carlo Regazzoni
0000-0001-6617-1417
404 papers found
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AI-Based Abnormality Detection at the PHY-Layer of Cognitive Radio by Learning Generative Models
Learning Probabilistic Awareness Models for Detecting Abnormalities in Vehicle Motions
Collective awareness for abnormality detection in connected autonomous vehicles
Learning Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models
Multisensorial Generative and Descriptive Self-Awareness Models for Autonomous Systems
Dynamic Bayesian collective awareness models for a network of ego-things
Incremental Learning of Abnormalities in Autonomous Systems
Introduction to the Special Section on Deep Learning for Visual Surveillance
Abnormality Detection using Graph Matching for Multi-Task Dynamics of Autonomous Systems
Perspectives in Autonomous Systems Research [In the Spotlight]
Jammer detection in M-QAM-OFDM by learning a Dynamic Bayesian Model for the Cognitive Radio
Interference mitigation in wideband radios using spectrum correlation and neural network
Prediction of Multi-target Dynamics Using Discrete Descriptors: an Interactive Approach
Learning a Switching Bayesian Model for Jammer Detection in the Cognitive-Radio-Based Internet of Things
Dynamic Bayesian Approach for decision-making in Ego-Things
Towards a Deeper Understanding of the Behavioural Implications of Bidirectional Activity-Based Ambient Displays in Ambient Assisted Living Environments
Clustering Optimization for Abnormality Detection in Semi-Autonomous Systems
Fast but Not Deep: Efficient Crowd Abnormality Detection with Local Binary Tracklets
Anomaly Detection in Crowds Using Multi Sensory Information
Hierarchy of Gans for Learning Embodied Self-Awareness Model
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