| 2026 | ICDAR | Bridging the Gaps: Learning to Estimate Missing Text in Fragmentary Greek Inscriptions. | Silvia Zottin, Axel De Nardin, Maddalena Zunino, Valentina Mignosa, Gian Luca Foresti |
| 2025 | ICCV | Deep Learning-Based Intrusion Detection Systems for Phishing Email Detection: A Short Survey. | Axel De Nardin, Silvia Zottin, Claudio Piciarelli, Gian Luca Foresti |
| 2025 | ICDAR | ICDAR 2025 Competition on FEw-Shot Text Line Segmentation of Ancient Handwritten Documents (FEST). | Silvia Zottin, Axel De Nardin, Giuseppe Branca, Claudio Piciarelli, Gian Luca Foresti |
| 2025 | ICIAP | Segmenting Anything in Architecture: A Tailored Approach to Segmenting Floor Plan Documents. | Claudio Piciarelli, Silvia Zottin, Axel De Nardin, Gian Luca Foresti |
| 2024 | ICDAR | ICDAR 2024 Competition on Few-Shot and Many-Shot Layout Segmentation of Ancient Manuscripts (SAM). | Silvia Zottin, Axel De Nardin, Gian Luca Foresti, Emanuela Colombi, Claudio Piciarelli |
| 2024 | WACV | A One-Shot Learning Approach to Document Layout Segmentation of Ancient Arabic Manuscripts. | Axel De Nardin, Silvia Zottin, Claudio Piciarelli, Emanuela Colombi, Gian Luca Foresti |
| 2023 | ICIAP | Is ImageNet Always the Best Option? An Overview on Transfer Learning Strategies for Document Layout Analysis. | Axel De Nardin, Silvia Zottin, Emanuela Colombi, Claudio Piciarelli, Gian Luca Foresti |
| 2023 | WACV | Efficient few-shot learning for pixel-precise handwritten document layout analysis. | Axel De Nardin, Silvia Zottin, Matteo Paier, Gian Luca Foresti, Emanuela Colombi, Claudio Piciarelli |