Massimiliano Ciranni

According to our database, Massimiliano Ciranni authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

Lose Your Self (LoYS): an adversarial entropy-based unsupervised approach for model debiasing.

Vito Paolo Pastore, Massimiliano Ciranni, Vittorio Murino

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

A Pair-Weighing Strategy for Enhancing Clip Zero-Shot Classification for Chest X-Rays.

Ibrahim Altufayli, Massimiliano Ciranni, Carlo Alberto Barbano, Vittorio Murino, Vito Paolo Pastore

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Diffusing DeBias: a Recipe for Turning a Bug into a Feature.

Massimiliano Ciranni, Vito Paolo Pastore, Roberto Di Via, Enzo Tartaglione, Francesca Odone, Vittorio Murino

CoRR, February, 2025

Say My Name: a Model's Bias Discovery Framework.

Massimiliano Ciranni, Luca Molinaro, Carlo Alberto Barbano, Attilio Fiandrotti, Vittorio Murino, Vito Paolo Pastore, Enzo Tartaglione

Trans. Mach. Learn. Res., 2025

Looking at Model Debiasing through the Lens of Anomaly Detection.

Vito Paolo Pastore, Massimiliano Ciranni, Davide Marinelli, Francesca Odone, Vittorio Murino

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

In-domain Self-supervised Learning for Plankton Image Classification on a Budget.

Massimiliano Ciranni, Ani Gjergji, Andrea Maracani, Vittorio Murino, Vito Paolo Pastore

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing.

Massimiliano Ciranni, Vito Paolo Pastore, Roberto Di Via, Enzo Tartaglione, Francesca Odone, Vittorio Murino

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Self-Supervised Multi-Modal Learning for Accurate MRI Multiple Sclerosis Segmentation.

Ani Gjergji, Massimiliano Ciranni, Matteo Moro, Vittorio Murino, Vito Paolo Pastore

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

A Handful of Data: Evaluating Few-Shot Incremental Landmark Detection.

Nikil Patel, Allison Clement, Julian Wyatt, Roberto Di Via, Davide Marinelli, Massimiliano Ciranni, Vito Paolo Pastore, Irina Voiculescu

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

Confidently Biased (ConB): A Per-sample Confidence Approach for Unsupervised Model Debiasing.

Massimiliano Ciranni, Aliaksandr Shcharbitski, Vittorio Murino, Vito Paolo Pastore

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

Are X-Ray Landmark Detection Models Fair? A Preliminary Assessment and Mitigation Strategy.

Roberto Di Via, Massimiliano Ciranni, Davide Marinelli, Allison Clement, Nikil Patel, Julian Wyatt, Francesca Odone, Matteo Santacesaria, Irina Voiculescu, Vito Paolo Pastore

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

2024

Computer vision and deep learning meet plankton: Milestones and future directions.

Massimiliano Ciranni, Vittorio Murino, Francesca Odone, Vito Paolo Pastore

Image Vis. Comput., 2024

2023

Efficient unsupervised learning of biological images with compressed deep features.

Vito Paolo Pastore, Massimiliano Ciranni, Simone Bianco, Jennifer Carol Fung, Vittorio Murino, Francesca Odone

Image Vis. Comput., September, 2023