MAR: a structure-based search engine for models. - José Antonio Hernández López; Jesús Sánchez Cuadrado (MoDELS, 2020)

Towards the Characterization of Realistic Model Generators using Graph Neural Networks. - José Antonio Hernández López; Jesús Sánchez Cuadrado (MoDELS, 2021)

AST-Probe: Recovering abstract syntax trees from hidden representations of pre-trained language models. - José Antonio Hernández López; Martin Weyssow; Jesús Sánchez Cuadrado; Houari A. Sahraoui (ASE, 2022)

Using the ModelSet dataset to support machine learning in model-driven engineering. - José Antonio Hernández López; Javier Luis Cánovas Izquierdo; Jesús Sánchez Cuadrado (MoDELS (Companion), 2022)

Machine learning methods for model classification: a comparative study. - José Antonio Hernández López; Riccardo Rubei; Jesús Sánchez Cuadrado; Davide Di Ruscio (MoDELS, 2022)

An efficient and scalable search engine for models. - José Antonio Hernández López; Jesús Sánchez Cuadrado (Softw. Syst. Model., 2022)

ModelSet: a dataset for machine learning in model-driven engineering. - José Antonio Hernández López; Javier Luis Cánovas Izquierdo; Jesús Sánchez Cuadrado (Softw. Syst. Model., 2022)

Automated Domain Modeling with Large Language Models: A Comparative Study. - Kua Chen; Yujing Yang; Boqi Chen; José Antonio Hernández López; Gunter Mussbacher; Dániel Varró (MODELS, 2023)

Word Embeddings for Model-Driven Engineering. - José Antonio Hernández López; Carlos Durá; Jesús Sánchez Cuadrado (MODELS, 2023)

Generating Structurally Realistic Models With Deep Autoregressive Networks. - José Antonio Hernández López; Jesús Sánchez Cuadrado (IEEE Trans. Software Eng., 2023)

On Inter-dataset Code Duplication and Data Leakage in Large Language Models. - José Antonio Hernández López; Boqi Chen; Mootez Saad; Tushar Sharma 001; Dániel Varró (Zenodo, 2023)

ModelMate: A recommender for textual modeling languages based on pre-trained language models. - Carlos Durá; José Antonio Hernández López; Jesús Sánchez Cuadrado (MODELS, 2024)

Text2VQL: Teaching a Model Query Language to Open-Source Language Models with ChatGPT. - José Antonio Hernández López; Máté Földiák; Dániel Varró (MODELS, 2024)

Using Run-Time Information to Enhance Static Analysis of Machine Learning Code in Notebooks. - Yiran Wang; José Antonio Hernández López; Ulf Nilsson; Dániel Varró (SIGSOFT FSE Companion, 2024)

Artifacts for "Text2VQL: Teaching a Model Query Language to Open-Source Language Models with ChatGPT". - José Antonio Hernández López; Máté Földiák; Dániel Varró (Zenodo, 2024)

Artifacts for "Text2VQL: Teaching a Model Query Language to Open-Source Language Models with ChatGPT". - José Antonio Hernández López; Máté Földiák; Dániel Varró (Zenodo, 2024)

On Inter-dataset Code Duplication and Data Leakage in Large Language Models. - José Antonio Hernández López; Boqi Chen; Tushar Sharma 001; Dániel Varró (CoRR, 2024)

ALPINE: An adaptive language-agnostic pruning method for language models for code. - Mootez Saad; José Antonio Hernández López; Boqi Chen; Dániel Varró; Tushar Sharma 001 (CoRR, 2024)

Why do Machine Learning Notebooks Crash? - Yiran Wang; Willem Meijer; José Antonio Hernández López; Ulf Nilsson; Dániel Varró (CoRR, 2024)

ModelSet: A labelled dataset of software models for machine learning. - José Antonio Hernández López; Javier Luis Cánovas Izquierdo; Jesús Sánchez Cuadrado (Sci. Comput. Program., 2024)

Dataset of paper "Why do Machine Learning Notebooks Crash?". - Yiran Wang; Willem Meijer; José Antonio Hernández López; Ulf Nilsson; Dániel Varró (Zenodo, 2024)

The Power of Types: Exploring the Impact of Type Checking on Neural Bug Detection in Dynamically Typed Languages. - Boqi Chen; José Antonio Hernández López; Gunter Mussbacher; Dániel Varró (ICSE, 2025)

An Adaptive Language-Agnostic Pruning Method for Greener Language Models for Code. - Mootez Saad; José Antonio Hernández López; Boqi Chen; Dániel Varró; Tushar Sharma 001 (Proc. ACM Softw. Eng., 2025)

On Inter-Dataset Code Duplication and Data Leakage in Large Language Models. - José Antonio Hernández López; Boqi Chen; Mootez Saad; Tushar Sharma 001; Dániel Varró (IEEE Trans. Software Eng., 2025)

Dataset of paper "Why do Machine Learning Notebooks Crash?". - Yiran Wang; Willem Meijer; José Antonio Hernández López; Ulf Nilsson; Dániel Varró (Zenodo, 2025)

SENAI: Towards Software Engineering Native Generative Artificial Intelligence. - Mootez Saad; José Antonio Hernández López; Boqi Chen; Neil A. Ernst; Dániel Varró; Tushar Sharma 001 (CoRR, 2025)

Why Do Machine Learning Notebooks Crash? An Empirical Study on Public Python Jupyter Notebooks. - Yiran Wang; Willem Meijer; José Antonio Hernández López; Ulf Nilsson; Dániel Varró (IEEE Trans. Software Eng., 2025)

ModelXGlue: a benchmarking framework for ML tools in MDE. - José Antonio Hernández López; Jesús Sánchez Cuadrado; Riccardo Rubei; Davide Di Ruscio (Softw. Syst. Model., 2025)