Axel De Nardin

According to our database, Axel De Nardin authored at least 22 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FsBAD: Data-efficient feature reconstruction for few-shot brain anomaly detection.

Hussain Ahmad Madni, Hafsa Shujat, Axel De Nardin, Silvia Zottin, Gian Luca Foresti

Pattern Recognit. Lett., 2026

Mitigating Data Scarcity in Cancer Classification With Synthetic Data.

Hussain Ahmad Madni, Hafsa Shujat, Silvia Zottin, Axel De Nardin, Gian Luca Foresti

IEEE Access, 2026

SA-SOINN: A Self-Adaptive Neural Network for Continuous Intrusion Detection in Dynamic Environments.

Dennis Glenn Ejeh, Gian Luca Foresti, Marino Miculan, Axel De Nardin

Proceedings of the Joint National Conference on Cybersecurity (ITASEC & SERICS 2026), 2026

2025

Unsupervised Brain MRI Anomaly Detection via Inter-Realization Channels.

Hussain Ahmad Madni, Hafsa Shujat, Axel De Nardin, Silvia Zottin, Gian Luca Foresti

Int. J. Neural Syst., October, 2025

In-domain versus out-of-domain transfer learning for document layout analysis.

Axel De Nardin, Silvia Zottin, Claudio Piciarelli, Gian Luca Foresti, Emanuela Colombi

Int. J. Document Anal. Recognit., June, 2025

A multibranch and multiattention framework for floor plan segmentation.

Axel De Nardin, Silvia Zottin, Andrea Toma, Claudio Piciarelli, Gian Luca Foresti

Comput. Aided Civ. Infrastructure Eng., 2025

Multi-Modal Analysis of Bi-Parametric MRI Slices for Lesion Detection in Prostate Cancer Screening.

Davide Antonutti, Axel De Nardin, Silvia Zottin, Claudio Piciarelli, Gian Luca Foresti

IEEE Access, 2025

Real-Time Anomaly Detection in Docker Containers: A Continuous Learning Approach Using SF-SOINN.

Dennis Glenn Ejeh, Gian Luca Foresti, Marino Miculan, Axel De Nardin

Proceedings of the Joint National Conference on Cybersecurity (ITASEC & SERICS 2025), 2025

Exploring Few-Shot Text Line Segmentation Approaches in Challenging Ancient Manuscripts.

Silvia Zottin, Axel De Nardin, Giuseppe Branca, Emanuela Colombi, Claudio Piciarelli, Hafsa Shujat, Gian Luca Foresti

Proceedings of the 21st Conference on Information and Research science Connecting to Digital and Library science, 2025

Segmenting Anything in Architecture: A Tailored Approach to Segmenting Floor Plan Documents.

Claudio Piciarelli, Silvia Zottin, Axel De Nardin, Gian Luca Foresti

Proceedings of the Image Analysis and Processing - ICIAP 2025, 2025

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

Proceedings of the Document Analysis and Recognition - ICDAR 2025, 2025

Deep Learning-Based Intrusion Detection Systems for Phishing Email Detection: A Short Survey.

Axel De Nardin, Silvia Zottin, Claudio Piciarelli, Gian Luca Foresti

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscripts.

Silvia Zottin, Axel De Nardin, Emanuela Colombi, Claudio Piciarelli, Filippo Pavan, Gian Luca Foresti

Neural Comput. Appl., July, 2024

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

2023

Few-Shot Pixel-Precise Document Layout Segmentation via Dynamic Instance Generation and Local Thresholding.

Axel De Nardin, Silvia Zottin, Claudio Piciarelli, Emanuela Colombi, Gian Luca Foresti

Int. J. Neural Syst., October, 2023

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

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

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

2022

Masked Transformer for Image Anomaly Localization.

Axel De Nardin, Pankaj Mishra, Gian Luca Foresti, Claudio Piciarelli

Int. J. Neural Syst., 2022

Bringing Attention to Image Anomaly Detection.

Axel De Nardin, Pankaj Mishra, Claudio Piciarelli, Gian Luca Foresti

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Dynamic Instance Generation for Few-Shot Handwritten Document Layout Segmentation (short paper).

Axel De Nardin, Silvia Zottin, Matteo Paier, Gian Luca Foresti, Emanuela Colombi, Claudio Piciarelli

Proceedings of the 1st Workshop on Artificial Intelligence for Cultural Heritage, 2022

2021

A Time-series Classification Approach to Shallow Web Traffic De-anonymization.

Axel De Nardin, Marino Miculan, Claudio Piciarelli, Gian Luca Foresti

Proceedings of the Italian Conference on Cybersecurity, 2021