Requirements-Driven Visualizations for Big Data Analytics: A Model-Driven Approach. - Ana Lavalle; Alejandro Maté; Juan Trujillo 001 (ER, 2019)

Visualization Requirements for Business Intelligence Analytics: A Goal-Based, Iterative Framework. - Ana Lavalle; Alejandro Maté; Juan Trujillo 001; Stefano Rizzi (RE, 2019)

An Approach to Automatically Detect and Visualize Bias in Data Analytics. - Ana Lavalle; Alejandro Maté; Juan Trujillo 001 (DOLAP, 2020)

Fostering Sustainability through Visualization Techniques for Real-Time IoT Data: A Case Study Based on Gas Turbines for Electricity Production. - Ana Lavalle; Miguel A. Teruel; Alejandro Maté; Juan Trujillo 001 (Sensors, 2020)

A methodology to automatically translate user requirements into visualizations: Experimental validation. - Ana Lavalle; Alejandro Maté; Juan Trujillo 001; Miguel A. Teruel; Stefano Rizzi (Inf. Softw. Technol., 2021)

A Methodology based on Rebalancing Techniques to Measure and Improve Fairness in Artificial Intelligence algorithms. - Ana Lavalle; Alejandro Mate; Juan Trujillo 001; Jorge García 003 (DOLAP, 2022)

Law Modeling for Fairness Requirements Elicitation in Artificial Intelligence Systems. - Ana Lavalle; Alejandro Maté; Juan Trujillo 001; Jorge García-Carrasco (ER, 2022)

A smart data holistic approach for context-aware data analytics (AETHER-UA) (short paper). - Ana Lavalle; Alejandro Maté; Juan Trujillo 001; Miguel A. Teruel; Alexander Sánchez Díaz (ER (Companion), 2023)

A modeling approach for designing explainable Artificial Intelligence. - Álvaro Navarro; Ana Lavalle; Alejandro Maté; Juan C. Trujillo (ER (Companion), 2023)

A Data Analytics Methodology to Visually Analyze the Impact of Bias and Rebalancing. - Ana Lavalle; Alejandro Mate; Juan Trujillo 001; Miguel A. Teruel (IEEE Access, 2023)

On making informed decisions regarding clustering event logs in process discovery. - Belén Ramos-Gutiérrez; Ana Lavalle; Rafael Corchuelo; Alejandro Maté; Juan C. Trujillo; María Teresa Gómez-López (Zenodo, 2023)

On making informed decisions regarding clustering event logs in process discovery. - Belén Ramos-Gutiérrez; Ana Lavalle; Rafael Corchuelo; Alejandro Maté; Juan C. Trujillo; María Teresa Gómez-López (Zenodo, 2023)

Data Analytics from a Social Perspective. - Ana Lavalle; Alejandro Reina-Reina; Alejandro Maté; Juan Trujillo 001 (Social Modeling Using the i* Framework, 2024)

Integrating Business and Process Analytics for Enhanced Data-Driven Decision-Making. - Vânia Sousa; Cristiana Vieira; Ana Lavalle; António Vieira; Maribel Yasmina Santos (ER (Companion), 2024)

Requirements Modeling and Elicitation for Explainable Artificial Intelligence Based on i. - Álvaro Navarro; Ana Lavalle; Alejandro Maté; Juan Trujillo 001 (iStar@ER, 2024)

An extension of iStar for Machine Learning requirements by following the PRISE methodology. - Jose M. Barrera; Alejandro Reina-Reina; Ana Lavalle; Alejandro Maté; Juan Trujillo 001 (Comput. Stand. Interfaces, 2024)

A methodology for the systematic design of storytelling dashboards applied to Industry 4.0. - Ana Lavalle; Alejandro Maté; Maribel Yasmina Santos; Pedro Guimarães; Juan Trujillo 001; Antonina Santos (Data Knowl. Eng., 2025)

Study of gender perspective in STEM degrees and its relationship with video games. - Ana Lavalle; Miguel A. Teruel; Alejandro Maté; Juan Trujillo 001 (Entertain. Comput., 2025)