DE NARDIN, AXEL
DE NARDIN, AXEL
DMIF - DIPARTIMENTO DI SCIENZE MATEMATICHE, INFORMATICHE E FISICHE
A One-Shot Learning Approach to Document Layout Segmentation of Ancient Arabic Manuscripts
2024-01-01 De Nardin, A.; Zottin, S.; Piciarelli, C.; Colombi, E.; Foresti, G. L.
A time-series classification approach to shallow web traffic de-anonymization
2021-01-01 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
2023-01-01 Veritti, Daniele; Rubinato, Leopoldo; Sarao, Valentina; De Nardin, Axel; Foresti, Gian Luca; Lanzetta, Paolo
Bringing Attention to Image Anomaly Detection
2022-01-01 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
2022-01-01 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
2024-03-05 DE NARDIN, Axel
Dynamic instance generation for few-shot handwritten document layout segmentation (short paper)
2022-01-01 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
2023-01-01 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
2023-01-01 Sarao, V.; Veritti, D.; De Nardin, A.; Misciagna, M.; Foresti, G.; Lanzetta, P.
Few-Shot Pixel-Precise Document Layout Segmentation via Dynamic Instance Generation and Local Thresholding
2023-01-01 Nardin, Axel De; Zottin, Silvia; Piciarelli, Claudio; Colombi, Emanuela; Foresti, Gian Luca
In-domain versus out-of-domain transfer learning for document layout analysis
2024-01-01 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
2024-01-01 De Nardin, A.; Zottin, S.; Colombi, E.; Piciarelli, C.; Foresti, G. L.
Masked Transformer for Image Anomaly Localization
2022-01-01 De Nardin, Axel; Mishra, Pankaj; Foresti, Gian Luca; Piciarelli, Claudio
U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscripts
2024-01-01 Zottin, S.; De Nardin, A.; Colombi, E.; Piciarelli, C.; Pavan, F.; Foresti, G. L.
| 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. | |
| 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 | |
| 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 | |
| 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. |