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)

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)

Integrated Learning and Decision Making for Autonomous Agents through Energy based Bayesian Models. - Abrham Shiferaw Alemaw; Pamela Zontone; Lucio Marcenaro; Pablo Marin; David Martín Gómez; Carlo S. Regazzoni (FUSION, 2024)

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)

Imitation learning in multi-sensor self-aware autonomous systems. - Abrham Shiferaw Alemaw (2025)