Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation. - Pierfrancesco Ardino; Yahui Liu; Elisa Ricci 001; Bruno Lepri; Marco De Nadai (ICPR, 2020)

Efficient Generation of Structured Objects with Constrained Adversarial Networks. - Luca Di Liello; Pierfrancesco Ardino; Jacopo Gobbi; Paolo Morettin; Stefano Teso; Andrea Passerini (NeurIPS, 2020)

Click to Move: Controlling Video Generation with Sparse Motion. - Pierfrancesco Ardino; Marco De Nadai; Bruno Lepri; Elisa Ricci 001; Stéphane Lathuilière (ICCV, 2021)

Semantic Loss Functions for Neuro-Symbolic Structured Prediction. - Kareem Ahmed; Stefano Teso; Paolo Morettin; Luca Di Liello; Pierfrancesco Ardino; Jacopo Gobbi; Yitao Liang; Eric Wang; Kai-Wei Chang; Andrea Passerini; Guy Van den Broeck (Compendium of Neurosymbolic Artificial Intelligence, 2023)

A Review of Deep Learning-Based Anomaly Detection Strategies in Industry 4.0 Focused on Application Fields, Sensing Equipment, and Algorithms. - Adriano Liso; Angelo Cardellicchio; Cosimo Patruno; Massimiliano Nitti; Pierfrancesco Ardino; Ettore Stella; Vito Renò (IEEE Access, 2024)

Semantic Loss Functions for Neuro-Symbolic Structured Prediction. - Kareem Ahmed; Stefano Teso; Paolo Morettin; Luca Di Liello; Pierfrancesco Ardino; Jacopo Gobbi; Yitao Liang; Eric Wang; Kai-Wei Chang; Andrea Passerini; Guy Van den Broeck (CoRR, 2024)

A Deep Learning-Based Probabilistic Approach for Non-Destructive Testing of Aircraft Components Using Laser Ultrasonic Data. - Adriano Liso; Cosimo Patruno; Angelo Cardellicchio; Pierfrancesco Ardino; Nicola Gallo; Giuseppe del Prete; Valerio Dentico; Veronica Vespini; Sara Coppola; Pietro Ferraro; Vito Renò (IEEE Access, 2025)