Federico Pennino

According to our database, Federico Pennino authored at least 13 papers between 2024 and 2026.

Collaborative distances:

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

2026

Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets.

Andrea Gurioli, Davide D'Ascenzo, Federico Pennino, Maurizio Gabbrielli, Stefano Zacchiroli

CoRR, May, 2026

Do not copy and paste! Rewriting strategies for code retrieval.

Andrea Gurioli, Federico Pennino, Maurizio Gabbrielli

CoRR, May, 2026

Optimizing the Training Diet: Data Mixture Search for Robust Time Series Forecasting.

Federico Pennino, Maurizio Gabbrielli

Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings.

Andrea Gurioli, Federico Pennino, João Monteiro, Maurizio Gabbrielli

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

From Reasoning to Code: GRPO Optimization for Underrepresented Languages.

Federico Pennino, Bianca Raimondi, Massimo Rondelli, Andrea Gurioli, Maurizio Gabbrielli

CoRR, June, 2025

One Model to Train them All: Hierarchical Self-Distillation for Enhanced Early Layer Embeddings.

Andrea Gurioli, Federico Pennino, João Monteiro, Maurizio Gabbrielli

CoRR, March, 2025

Contextual Contrastive Learning for Rider Behavior Modeling Using Motorcycle Sensor Data.

Federico Pennino, David Attisano, Davide Sette, Maurizio Gabbrielli

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

A Dual-Encoder framework for Enhancing Driving Behavior and Mission Profiling Characterization.

Federico Pennino, Davide Sette, David Attisano, Maurizio Gabbrielli

Proceedings of the International Joint Conference on Neural Networks, 2025

Trajectory-Embedded Matryoshka Representation Learning for Enhanced Similarity Analysis.

Federico Pennino, Andrea Gurioli, Maurizio Gabbrielli

Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

2024

Contrastive learning for body gesture detection during Adapted Physical Activity.

Juan Martinez Rocha, Federico Pennino, Cécile Dubois, Éric Monacelli, Maurizio Gabbrielli

Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

Driving Style Representation via Convolutional Neural Networks: A Contrastive Learning Approach.

Federico Pennino, Davide Sette, David Attisano, Maurizio Gabbrielli

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

A Machine Learning Based Tool to Estimate Coolant Engine Temperature Based on Motorcycle Riding Data.

Federico Pennino, Davide Sette, David Attisano, Maurizio Gabbrielli

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

Recognising non-named spatial entities in literary texts: a novel spatial entities classifier.

Daniel Kababgi, Giulia Grisot, Federico Pennino, J. Berenike Herrmann

Proceedings of the Computational Humanities Research Conference 2024, 2024