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Federico Pennino

Observed names: FEDERICO PENNINO, Pennino, Federico
Observed institution: University of Bologna
ORCID: 0000-0001-7563-070X
Observed ORCID: 0000-0001-7563-070X
OpenAlex ID: A5114467537
From Reasoning to Code: GRPO Optimization for Underrepresented Languages
2026 · FEDERICO PENNINO, BIANCA RAIMONDI, et al. · Theory and Practice of Logic Programming · 5
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Contrastive learning for body gesture detection during Adapted Physical Activity
2024 · Juan Martinez Rocha, Federico Pennino, et al. · IEEE RO-MAN · 3
Driving Style Representation via Convolutional Neural Networks: A Contrastive Learning Approach
2024 · Federico Pennino, Davide Sette, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC) · 2
A Machine Learning Based Tool to Estimate Coolant Engine Temperature Based on Motorcycle Riding Data
2024 · Federico Pennino, Davide Sette, et al. · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · 1
CodeGraph: Open-Taxonomy Knowledge Graph for Source Code with Wikidata Grounding
2026 · Federico Pennino, Andrea Gurioli, et al. · ACM International Conference on Information and Knowledge Management (CIKM)
Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets
2026 · Andrea Gurioli, Davide D’Ascenzo, et al. · Journal of Systems and Software
Enhancing big data analysis in two-wheeled vehicles through machine learning techniques
2026 · Pennino, Federico · AMS Dottorato Institutional Doctoral Theses Repository (University of Bologna)
Unifying Segmentation and Metric Learning with Mask-Guided Attention for Road Classification
2026 · Giosuè Cotugno, Federico Pennino, et al. · IEEE Intelligent Vehicles Symposium
Do not copy and paste! Rewriting strategies for code retrieval
2026 · Gurioli, Andrea, Pennino, Federico, et al. · arXiv (Cornell University)
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Optimizing the Training Diet: Data Mixture Search for Robust Time Series Forecasting
2026 · Federico Pennino, Maurizio Gabbrielli · ACM Symposium on Applied Computing
MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings
2026 · Andrea Gurioli, Federico Pennino, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
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MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings
2026 · Association for Artificial Intelligence 2026, Gabbrielli, Maurizio, et al. · Underline Science Inc.
Contextual Contrastive Learning for Rider Behavior Modeling Using Motorcycle Sensor Data
2025 · Federico Pennino, David Attisano, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC)
A Dual-Encoder framework for Enhancing Driving Behavior and Mission Profiling Characterization
2025 · Federico Pennino, Davide Sette, et al. · International Joint Conference on Neural Networks (IJCNN)
MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings
2025 · Gurioli, Andrea, Pennino, Federico, et al. · arXiv (Cornell University)
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Trajectory-Embedded Matryoshka Representation Learning for Enhanced Similarity Analysis
2025 · Federico Pennino, Andrea Gurioli, et al. · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)
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Recognising non-named spatial entities in literary texts: a novel spatial entities classifier
2024 · Kababgi, Daniel ; https://orcid.org/0009-0002-0990-6418, Grisot, Giulia ; https://orcid.org/0000-0002-3038-6202, et al. · Research Explorer (The University of Manchester)
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Works count: 20
Citation count: 11
H-index: 2
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