Daniele Rege Cambrin

Orcid: 0000-0002-5067-2118

According to our database1, Daniele Rege Cambrin authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment.
CoRR, 2024

KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation.
CoRR, 2024

Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation.
CoRR, 2024

Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking.
CoRR, 2024

QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1.
CoRR, 2024

CaBuAr: California Burned Areas dataset for delineation.
CoRR, 2024

Ground-Based Contrail Detection by Means of Computer Vision Models: A Comparison Between Visible and Infrared Images.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

Paraphrase Loss for Abstractive Summarization.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

DQNC2S: DQN-Based Cross-Stream Crisis Event Summarizer.
Proceedings of the Advances in Information Retrieval, 2024

2023
Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

DANTE at GeoLingIt: Dialect-Aware Multi-Granularity Pre-training for Locating Tweets within Italy.
Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023), 2023

2022
Vision Transformers for Burned Area Delineation.
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2022), 2022


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