Anomaly Detection in Video Data Based on Probabilistic Latent Space Models. - Giulia Slavic; Damian Campo; Mohamad Baydoun; Pablo Marin; David Martín 001; Lucio Marcenaro; Carlo S. Regazzoni (EAIS, 2020)

Continual Learning Of Predictive Models In Video Sequences Via Variational Autoencoders. - Damian Campo; Giulia Slavic; Mohamad Baydoun; Lucio Marcenaro; Carlo S. Regazzoni (ICIP, 2020)

Optimization of Probabilistic Switching Models Based on a Two-Step Clustering Approach. - Hafsa Iqbal; Damian Campo; Giulia Slavic; Lucio Marcenaro; David Martín Gómez; Carlo S. Regazzoni (SiPS, 2020)

PETS2021: Through-foliage detection and tracking challenge and evaluation. - Jose Luis Patino; Jonathan Boyle; James M. Ferryman; Jonas Auer; Julian Pegoraro; Roman P. Pflugfelder; Mertcan Cokbas; Janusz Konrad; Prakash Ishwar; Giulia Slavic; Lucio Marcenaro; Yifan Jiang 002; et al. (AVSS, 2021)

Learning Of Linear Video Prediction Models In A Multi-Modal Framework For Anomaly Detection. - Giulia Slavic; Abrham Shiferaw Alemaw; Lucio Marcenaro; Carlo S. Regazzoni (ICIP, 2021)

A Data-Driven Approach for the Localization of Interacting Agents via a Multi-Modal Dynamic Bayesian Network Framework. - Abrham Shiferaw Alemaw; Giulia Slavic; Hafsa Iqbal; Lucio Marcenaro; David Martín Gómez; Carlo S. Regazzoni (AVSS, 2022)

Simultaneous Localization and Anomaly Detection from First-Person Video Data through a Coupled Dynamic Bayesian Network Model. - Giulia Slavic; Pablo Marín-Plaza; Lucio Marcenaro; David Martín Gómez; Carlo S. Regazzoni (AVSS, 2022)

Container Localisation and Mass Estimation with an RGB-D Camera. - Tommaso Apicella; Giulia Slavic; Edoardo Ragusa; Paolo Gastaldo; Lucio Marcenaro (ICASSP, 2022)

Multilevel Anomaly Detection Through Variational Autoencoders and Bayesian Models for Self-Aware Embodied Agents. - Giulia Slavic; Mohamad Baydoun; Damian Campo; Lucio Marcenaro; Carlo S. Regazzoni (IEEE Trans. Multim., 2022)

A Kalman Variational Autoencoder Model Assisted by Odometric Clustering for Video Frame Prediction and Anomaly Detection. - Giulia Slavic; Abrham Shiferaw Alemaw; Lucio Marcenaro; David Martín Gómez; Carlo S. Regazzoni (IEEE Trans. Image Process., 2023)

Systematic and Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications. - Muhammad Adnan; Giulia Slavic; David Martín Gómez; Lucio Marcenaro; Carlo S. Regazzoni (Sensors, 2023)

Joint Data-Driven Analysis of Visual-Odometric Anomaly Signals in Generative Ai-Based Agents. - Giulia Slavic; Mattia Bracco; Lucio Marcenaro; David Martín Gómez; Carlo S. Regazzoni; Pamela Zontone (ICASSP Workshops, 2024)

Emergent self-awareness in multi-sensor physical agents. - Giulia Slavic (2024)

Vehicle localization in an explainable dynamic Bayesian network framework for self-aware agents. - Giulia Slavic; Pamela Zontone; Lucio Marcenaro; David Martín Gómez; Carlo S. Regazzoni (Inf. Fusion, 2025)

Modeling Interactions Between Autonomous Agents in a Multi-Agent Self-Awareness Architecture. - Abrham Shiferaw Alemaw; Giulia Slavic; Pamela Zontone; Lucio Marcenaro; David Martín Gómez; Carlo S. Regazzoni (IEEE Trans. Multim., 2025)