Joel Castaño

16 papers A 2Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data-driven multi-objective optimization of ML inference hardware configurations for energy, performance and cost.
Sustain. Comput. Informatics Syst.
Joel Castaño, Jaime Bustillo, Xavier Franch, Silverio Martínez-Fernández
2025 — conf
A Framework for Using LLMs for Repository Mining Studies in Empirical Software Engineering.
WSESE@ICSE
Vincenzo De Martino, Joel Castaño, Fabio Palomba, Xavier Franch, Silverio Martínez-Fernández
2025 J jnl
A Methodological Framework for LLM-Based Mining of Software Repositories.
CoRR
Vincenzo De Martino, Joel Castaño, Fabio Palomba, Xavier Franch, Silverio Martínez-Fernández
2025 J jnl
Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices.
CoRR
Luis Cruz, João Paulo Fernandes, Maja H. Kirkeby, Silverio Martínez-Fernández, June Sallou, Hina Anwar, Enrique Barba Roque, Justus Bogner, Joel Castaño, Fernando Castor, Aadil Chasmawala, Simão Cunha, Daniel Feitosa, Alexandra González, Andreas Jedlitschka, Patricia Lago, Henry Muccini, Ana Oprescu, Pooja Rani, João Saraiva, Federica Sarro, Raghavendra Selvan, Karthik Vaidhyanathan, Roberto Verdecchia, Ivan P. Yamshchikov
2025 J jnl
Impact of ML optimization tactics on greener pre-trained ML models.
Computing
Alexandra González Álvarez, Joel Castaño, Xavier Franch, Silverio Martínez-Fernández
2024 A conf
Analyzing the Evolution and Maintenance of ML Models on Hugging Face.
MSR
Joel Castaño, Silverio Martínez-Fernández, Xavier Franch, Justus Bogner
2024 J jnl
Experiences from Using LLMs for Repository Mining Studies in Empirical Software Engineering.
CoRR
Vincenzo De Martino, Joel Castaño, Fabio Palomba, Xavier Franch, Silverio Martínez-Fernández
2024 — conf
GAISSALabel: A Tool for Energy Labeling of ML Models.
SIGSOFT FSE Companion
Pau Duran, Joel Castaño, Cristina Gómez, Silverio Martínez-Fernández
2024 J jnl
GAISSALabel: A tool for energy labeling of ML models.
CoRR
Pau Duran, Joel Castaño, Cristina Gómez, Silverio Martínez-Fernández
2024 J jnl
How do Machine Learning Models Change?
CoRR
Joel Castaño, Rafael Cabañas, Antonio Salmerón, David Lo, Silverio Martínez-Fernández
2024 J jnl
Impact of ML Optimization Tactics on Greener Pre-Trained ML Models.
CoRR
Alexandra González Álvarez, Joel Castaño, Xavier Franch, Silverio Martínez-Fernández
2024 — conf
Lessons Learned from Mining the Hugging Face Repository.
WSESE@ICSE
Joel Castaño, Silverio Martínez-Fernández, Xavier Franch
2024 J jnl
Lessons Learned from Mining the Hugging Face Repository.
CoRR
Joel Castaño, Silverio Martínez-Fernández, Xavier Franch
2023 J jnl
Analyzing the Evolution and Maintenance of ML Models on Hugging Face.
CoRR
Joel Castaño, Silverio Martínez-Fernández, Xavier Franch, Justus Bogner
2023 A conf
Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study.
ESEM
Joel Castaño, Silverio Martínez-Fernández, Xavier Franch, Justus Bogner
2023 J jnl
Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study.
CoRR
Joel Castaño, Silverio Martínez-Fernández, Xavier Franch, Justus Bogner