Sfoglia per Autore
A time-series classification approach to shallow web traffic de-anonymization
2021-01-01 de Nardin, A.; Miculan, M.; Piciarelli, C.; Foresti, G. L.
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.
Bringing Attention to Image Anomaly Detection
2022-01-01 de Nardin, Axel; Mishra, Pankaj; Piciarelli, Claudio; Foresti, Gian Luca
Masked Transformer for Image Anomaly Localization
2022-01-01 De Nardin, Axel; Mishra, Pankaj; Foresti, Gian Luca; Piciarelli, Claudio
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
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
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
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
ICDAR 2024 Competition on Few-Shot and Many-Shot Layout Segmentation of Ancient Manuscripts (SAM)
2024-01-01 Zottin, S.; De Nardin, A.; Foresti, G. L.; Colombi, E.; Piciarelli, C.
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.
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.
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.
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.
Deep learning techniques for image segmentation and anomaly detection in low data regimes
2024-03-05 DE NARDIN, Axel
Exploring few-shot text line segmentation approaches in challenging ancient manuscripts
2025-01-01 Zottin, S.; De Nardin, A.; Branca, G.; Colombi, E.; Piciarelli, C.; Shujat, H.; Foresti, G. L.
ICDAR 2025 Competition on FEw-Shot Text Line Segmentation of Ancient Handwritten Documents (FEST)
2025-01-01 Zottin, Silvia; De Nardin, Axel; Branca, Giuseppe; Piciarelli, Claudio; Foresti, Gian Luca
Real-Time Anomaly Detection in Docker Containers: A Continuous Learning Approach Using SF-SOINN
2025-01-01 Ejeh, D. G.; Foresti, G. L.; Miculan, M.; De Nardin, A.
FsBAD: Data-efficient feature reconstruction for few-shot brain anomaly detection
2025-01-01 Madni, Hussain Ahmad; Shujat, Hafsa; De Nardin, Axel; Zottin, Silvia; Foresti, Gian Luca
A Deep Learning Model Integrating Clinical and MRI Features Improves Risk Stratification and Reduces Unnecessary Biopsies in Men with Suspected Prostate Cancer
2025-01-01 Bacchetti, Emiliano; De Nardin, Axel; Giannarini, Gianluca; Cereser, Lorenzo; Zuiani, Chiara; Crestani, Alessandro; Girometti, Rossano; Foresti, Gian Luca
A multibranch and multiattention framework for floor plan segmentation
2025-01-01 De Nardin, A.; Zottin, S.; Toma, A.; Piciarelli, C.; Foresti, G. L.
Unsupervised Brain MRI Anomaly Detection via Inter-Realization Channels
2025-01-01 Madni, Hussain Ahmad; Shujat, Hafsa; De Nardin, Axel; Zottin, Silvia; Foresti, Gian Luca
Multi-modal Analysis of Bi-Parametric MRI Slices for Lesion Detection in Prostate Cancer Screening
2025-01-01 Antonutti, D.; Nardin, A. D.; Zottin, S.; Piciarelli, C.; Foresti, G. L.
Deep Acoustic Learning on Unmanned Aerial Vehicles for Real-Time Human and Drone Detection
In corso di stampa Toma, Andrea; Salvati, Daniele; De Nardin, Axel; Zottin, Silvia; Scagnetto, Ivan; Ferrin, Giovanni; Drioli, Carlo; Foresti, Gian Luca
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A time-series classification approach to shallow web traffic de-anonymization | 1-gen-2021 | de Nardin, A.; Miculan, M.; Piciarelli, C.; Foresti, G. L. | |
| 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. | |
| Bringing Attention to Image Anomaly Detection | 1-gen-2022 | de Nardin, Axel; Mishra, Pankaj; Piciarelli, Claudio; Foresti, Gian Luca | |
| Masked Transformer for Image Anomaly Localization | 1-gen-2022 | De Nardin, Axel; Mishra, Pankaj; Foresti, Gian Luca; Piciarelli, Claudio | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| Deep learning techniques for image segmentation and anomaly detection in low data regimes | 5-mar-2024 | DE NARDIN, Axel | |
| 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. | |
| ICDAR 2025 Competition on FEw-Shot Text Line Segmentation of Ancient Handwritten Documents (FEST) | 1-gen-2025 | Zottin, Silvia; De Nardin, Axel; Branca, Giuseppe; Piciarelli, Claudio; Foresti, Gian Luca | |
| 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. | |
| FsBAD: Data-efficient feature reconstruction for few-shot brain anomaly detection | 1-gen-2025 | Madni, Hussain Ahmad; Shujat, Hafsa; De Nardin, Axel; Zottin, Silvia; Foresti, Gian Luca | |
| A Deep Learning Model Integrating Clinical and MRI Features Improves Risk Stratification and Reduces Unnecessary Biopsies in Men with Suspected Prostate Cancer | 1-gen-2025 | Bacchetti, Emiliano; De Nardin, Axel; Giannarini, Gianluca; Cereser, Lorenzo; Zuiani, Chiara; Crestani, Alessandro; Girometti, Rossano; Foresti, Gian Luca | |
| A multibranch and multiattention framework for floor plan segmentation | 1-gen-2025 | De Nardin, A.; Zottin, S.; Toma, A.; Piciarelli, C.; 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 | |
| Multi-modal Analysis of Bi-Parametric MRI Slices for Lesion Detection in Prostate Cancer Screening | 1-gen-2025 | Antonutti, D.; Nardin, A. D.; Zottin, S.; Piciarelli, C.; Foresti, G. L. | |
| Deep Acoustic Learning on Unmanned Aerial Vehicles for Real-Time Human and Drone Detection | In corso di stampa | Toma, Andrea; Salvati, Daniele; De Nardin, Axel; Zottin, Silvia; Scagnetto, Ivan; Ferrin, Giovanni; Drioli, Carlo; Foresti, Gian Luca |
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