Browse by Relators
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Number of items: 8.
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Filippo Struffi.
Data Guided Benchmarking of Optimization Strategies = -.
Rel. Paolo Garza, Daniele Rege Cambrin. Politecnico di Torino, Master of science program in Data Science And Engineering, 2026
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Mehrnoosh Liravi.
Deep Learning for Electric Network Mapping Using Aerial Imagery.
Rel. Paolo Garza, Daniele Rege Cambrin. Politecnico di Torino, Master of science program in Data Science And Engineering, 2026
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Mattia Ottoborgo.
Beyond Cross-Entropy: Custom Loss Functions for Finetuning SLMs on Structured Recipe Generation.
Rel. Paolo Garza, Daniele Rege Cambrin. Politecnico di Torino, Master of science program in Data Science And Engineering, 2025
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Fabrizio Gallo.
Curriculum Learning in Earth Observation.
Rel. Paolo Garza, Daniele Rege Cambrin. Politecnico di Torino, Master of science program in Data Science And Engineering, 2025
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Paolo Rizzo.
Model-Free Multi-Agent Reinforcement Learning Approach in NeurIPS LuxAI S3 Competition.
Rel. Daniele Apiletti, Simone Monaco, Daniele Rege Cambrin. Politecnico di Torino, Master of science program in Data Science And Engineering, 2025
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Claudiu Constantin Tcaciuc.
Topic-Aware Multi-Stream Text Retrieval for Crisis Related Summarization.
Rel. Paolo Garza, Daniele Rege Cambrin. Politecnico di Torino, Master of science program in Computer Engineering, 2025
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Elena Buccoliero.
Epicenter Detection integrating Sentinel-1 InSAR data and Deep Learning.
Rel. Paolo Garza, Daniele Rege Cambrin. Politecnico di Torino, Master of science program in Computer Engineering, 2024
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Alessandro Chiabodo.
Deep Learning Techniques for Water Level Forecasting in Satellite Images.
Rel. Paolo Garza, Daniele Rege Cambrin. Politecnico di Torino, Master of science program in Computer Engineering, 2024
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