Vision Transformers for Burned Area Delineation. - Daniele Rege Cambrin; Luca Colomba; Paolo Garza (MACLEAN@PKDD/ECML, 2022)

DANTE at GeoLingIt: Dialect-Aware Multi-Granularity Pre-training for Locating Tweets within Italy. - Giuseppe Gallipoli; Moreno La Quatra; Daniele Rege Cambrin; Salvatore Greco; Luca Cagliero (EVALITA, 2023)

Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification. - Lia Morra; Alberto Azzari; Letizia Bergamasco; Marco Braga; Luigi Capogrosso; Federico Delrio; Giuseppe Di Giacomo; Simone Eiraudo; Giorgia Ghione; Rocco Giudice; Alkis Koudounas; Luca Piano; et al. (NeSy, 2023)

Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation. - Daniele Rege Cambrin; Isaac Corley; Paolo Garza (ECCV Workshops (2), 2024)

Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment. - Daniele Rege Cambrin; Gabriele Scaffidi Militone; Luca Colomba; Giovanni Malnati; Daniele Apiletti; Paolo Garza (ECCV Workshops (2), 2024)

KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation. - Daniele Rege Cambrin; Eleonora Poeta; Eliana Pastor; Tania Cerquitelli; Elena Baralis; Paolo Garza (ECCV Workshops (3), 2024)

DQNC2S: DQN-Based Cross-Stream Crisis Event Summarizer. - Daniele Rege Cambrin; Luca Cagliero; Paolo Garza (ECIR (3), 2024)

Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning. - Daniele Rege Cambrin; Giuseppe Gallipoli; Irene Benedetto; Luca Cagliero; Paolo Garza (EMNLP (Findings), 2024)

Paraphrase Loss for Abstractive Summarization. - Daniele Rege Cambrin; Paolo Garza (Tiny Papers @ ICLR, 2024)

Ground-Based Contrail Detection by Means of Computer Vision Models: A Comparison Between Visible and Infrared Images. - Paolo Pertino; Leonardo Pavarino; Simone Lomolino; Enrico Miotto; Daniele Rege Cambrin; Paolo Garza; Emanuele Ogliari (RTSI, 2024)

CaBuAr: California Burned Areas dataset for delineation. - Daniele Rege Cambrin; Luca Colomba; Paolo Garza (CoRR, 2024)

QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1. - Daniele Rege Cambrin; Paolo Garza (CoRR, 2024)

Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking. - Daniele Rege Cambrin; Isaac Corley; Paolo Garza; Peyman Najafirad (CoRR, 2024)

Magnifier: A Multigrained Neural Network-Based Architecture for Burned Area Delineation. - Daniele Rege Cambrin; Luca Colomba; Paolo Garza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation. - Daniele Rege Cambrin; Luca Colomba; Paolo Garza (CoRR, 2025)

HydroChronos: Forecasting Decades of Surface Water Change. - Daniele Rege Cambrin; Eleonora Poeta; Eliana Pastor; Isaac Corley; Tania Cerquitelli; Elena Baralis; Paolo Garza (CoRR, 2025)

Text-to-Remote-Sensing-Image Retrieval beyond RGB Sources. - Daniele Rege Cambrin; Lorenzo Vaiani; Giuseppe Gallipoli; Luca Cagliero; Paolo Garza (CoRR, 2025)