Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study. - Joel Castaño; Silverio Martínez-Fernández; Xavier Franch; Justus Bogner (ESEM, 2023)

Replication Package for 'Analyzing the Evolution and Maintenance of ML Models on Hugging Face'. - Joel Castaño; Silverio Martínez-Fernández; Xavier Franch; Justus Bogner (Zenodo, 2023)

Analyzing the Evolution and Maintenance of ML Models on Hugging Face. - Joel Castaño; Silverio Martínez-Fernández; Xavier Franch; Justus Bogner (MSR, 2024)

GAISSALabel: A Tool for Energy Labeling of ML Models. - Pau Duran; Joel Castaño; Cristina Gómez 001; Silverio Martínez-Fernández (SIGSOFT FSE Companion, 2024)

Lessons Learned from Mining the Hugging Face Repository. - Joel Castaño; Silverio Martínez-Fernández; Xavier Franch (WSESE@ICSE, 2024)

How do Machine Learning Models Change? - Joel Castaño; Rafael Cabañas 001; Antonio Salmerón; David Lo 001; Silverio Martínez-Fernández (CoRR, 2024)

Experiences from Using LLMs for Repository Mining Studies in Empirical Software Engineering. - Vincenzo De Martino; Joel Castaño; Fabio Palomba; Xavier Franch; Silverio Martínez-Fernández (CoRR, 2024)

Replication Package for "Impact of ML Optimization Tactics on Greener Pre-Trained ML Models". - Alexandra González Álvarez; Joel Castaño; Xavier Franch; Silverio Martínez-Fernández (Zenodo, 2024)

Replication Package for "Impact of ML Optimization Tactics on Greener Pre-Trained ML Models". - Alexandra González Álvarez; Joel Castaño; Xavier Franch; Silverio Martínez-Fernández (Zenodo, 2024)

Replication Package for "Impact of ML Optimization Tactics on Greener Pre-Trained ML Models". - Alexandra González Álvarez; Joel Castaño; Xavier Franch; Silverio Martínez-Fernández (Zenodo, 2024)

Replication Package for 'How do Machine Learning Models Change?'. - Joel Castaño Fernández; Rafael Cabañas 001; Antonio Salmerón; David Lo 001; Silverio Martínez-Fernández (Zenodo, 2024)

Replication Package for 'How do Machine Learning Models Change?'. - Joel Castaño Fernández; Rafael Cabañas 001; Antonio Salmerón; David Lo 001; Silverio Martínez-Fernández (Zenodo, 2024)

A Framework for Using LLMs for Repository Mining Studies in Empirical Software Engineering. - Vincenzo De Martino; Joel Castaño; Fabio Palomba; Xavier Franch; Silverio Martínez-Fernández (WSESE@ICSE, 2025)

Replication Package for "Impact of ML Optimization Tactics on Greener Pre-Trained ML Models". - Alexandra González Álvarez; Joel Castaño; Xavier Franch; Silverio Martínez-Fernández (Zenodo, 2025)

Impact of ML optimization tactics on greener pre-trained ML models. - Alexandra González Álvarez; Joel Castaño; Xavier Franch; Silverio Martínez-Fernández (Computing, 2025)

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices. - Luis Cruz 002; 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; et al. (CoRR, 2025)

A Methodological Framework for LLM-Based Mining of Software Repositories. - Vincenzo De Martino; Joel Castaño; Fabio Palomba; Xavier Franch; Silverio Martínez-Fernández (CoRR, 2025)