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DE NARDIN, Axel

DE NARDIN, Axel  

DMIF - DIPARTIMENTO DI SCIENZE MATEMATICHE, INFORMATICHE E FISICHE  

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Titolo Data di pubblicazione Autore(i) File
A One-Shot Learning Approach to Document Layout Segmentation of Ancient Arabic Manuscripts 1-gen-2024 De Nardin, A.; Zottin, S.; Piciarelli, C.; Colombi, E.; Foresti, G. L.
A time-series classification approach to shallow web traffic de-anonymization 1-gen-2021 de Nardin, A.; Miculan, M.; Piciarelli, C.; Foresti, G. L.
Behind the mask: a critical perspective on the ethical, moral, and legal implications of AI in ophthalmology 1-gen-2023 Veritti, Daniele; Rubinato, Leopoldo; Sarao, Valentina; De Nardin, Axel; Foresti, Gian Luca; Lanzetta, Paolo
Bringing Attention to Image Anomaly Detection 1-gen-2022 de Nardin, Axel; Mishra, Pankaj; Piciarelli, Claudio; Foresti, Gian Luca
Combining Deep Phenotyping of Serum Proteomics and Clinical Data via Machine Learning for COVID-19 Biomarker Discovery 1-gen-2022 Beltrami, Antonio Paolo; De Martino, Maria; Dalla, Emiliano; Malfatti, Matilde Clarissa; Caponnetto, Federica; Codrich, Marta; Stefanizzi, Daniele; Fabris, Martina; Sozio, Emanuela; D'Aurizio, Federica; Pucillo, Carlo E M; Sechi, Leonardo A; Tascini, Carlo; Curcio, Francesco; Foresti, Gian Luca; Piciarelli, Claudio; De Nardin, Axel; Tell, Gianluca; Isola, Miriam
Deep learning techniques for image segmentation and anomaly detection in low data regimes 5-mar-2024 DE NARDIN, Axel
Dynamic instance generation for few-shot handwritten document layout segmentation (short paper) 1-gen-2022 De Nardin, A.; Zottin, S.; Paier, M.; Foresti, G. L.; Colombi, E.; Piciarelli, C.
Efficient few-shot learning for pixel-precise handwritten document layout analysis 1-gen-2023 DE NARDIN, Axel; Zottin, Silvia; Paier, Matteo; Foresti, Gian Luca; Colombi, Emanuela; Piciarelli, Claudio
Explainable artificial intelligence model for the detection of geographic atrophy using colour retinal photographs 1-gen-2023 Sarao, V.; Veritti, D.; De Nardin, A.; Misciagna, M.; Foresti, G.; Lanzetta, P.
Exploring few-shot text line segmentation approaches in challenging ancient manuscripts 1-gen-2025 Zottin, S.; De Nardin, A.; Branca, G.; Colombi, E.; Piciarelli, C.; Shujat, H.; Foresti, G. L.
Few-Shot Pixel-Precise Document Layout Segmentation via Dynamic Instance Generation and Local Thresholding 1-gen-2023 Nardin, Axel De; Zottin, Silvia; Piciarelli, Claudio; Colombi, Emanuela; Foresti, Gian Luca
ICDAR 2024 Competition on Few-Shot and Many-Shot Layout Segmentation of Ancient Manuscripts (SAM) 1-gen-2024 Zottin, S.; De Nardin, A.; Foresti, G. L.; Colombi, E.; Piciarelli, C.
In-domain versus out-of-domain transfer learning for document layout analysis 1-gen-2024 De Nardin, A.; Zottin, S.; Piciarelli, C.; Foresti, G. L.; Colombi, E.
Is ImageNet Always the Best Option? An Overview on Transfer Learning Strategies for Document Layout Analysis 1-gen-2024 De Nardin, A.; Zottin, S.; Colombi, E.; Piciarelli, C.; Foresti, G. L.
Masked Transformer for Image Anomaly Localization 1-gen-2022 De Nardin, Axel; Mishra, Pankaj; Foresti, Gian Luca; Piciarelli, Claudio
Real-Time Anomaly Detection in Docker Containers: A Continuous Learning Approach Using SF-SOINN 1-gen-2025 Ejeh, D. G.; Foresti, G. L.; Miculan, M.; De Nardin, A.
U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscripts 1-gen-2024 Zottin, S.; De Nardin, A.; Colombi, E.; Piciarelli, C.; Pavan, F.; Foresti, G. L.
Unsupervised Brain MRI Anomaly Detection via Inter-Realization Channels 1-gen-2025 Madni, Hussain Ahmad; Shujat, Hafsa; De Nardin, Axel; Zottin, Silvia; Foresti, Gian Luca