Ana Lavalle

Orcid: 0000-0002-8399-4666

According to our database1, Ana Lavalle authored at least 15 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Bibliography

2025
Study of gender perspective in STEM degrees and its relationship with video games.
Entertain. Comput., 2025

2024
An extension of iStar for Machine Learning requirements by following the PRISE methodology.
Comput. Stand. Interfaces, March, 2024

Integrating Business and Process Analytics for Enhanced Data-Driven Decision-Making.
Proceedings of the Companion Proceedings of the 43rd International Conference on Conceptual Modeling: ER Forum, 2024

2023
On making informed decisions regarding clustering event logs in process discovery.
Dataset, July, 2023

On making informed decisions regarding clustering event logs in process discovery.
Dataset, July, 2023

A Data Analytics Methodology to Visually Analyze the Impact of Bias and Rebalancing.
IEEE Access, 2023

A modeling approach for designing explainable Artificial Intelligence.
Proceedings of the Companion Proceedings of the 42nd International Conference on Conceptual Modeling: ER Forum, 2023

A smart data holistic approach for context-aware data analytics (AETHER-UA) (short paper).
Proceedings of the Companion Proceedings of the 42nd International Conference on Conceptual Modeling: ER Forum, 2023

2022
Law Modeling for Fairness Requirements Elicitation in Artificial Intelligence Systems.
Proceedings of the Conceptual Modeling - 41st International Conference, 2022

A Methodology based on Rebalancing Techniques to Measure and Improve Fairness in Artificial Intelligence algorithms.
Proceedings of the 24th International Workshop on Design, 2022

2021
A methodology to automatically translate user requirements into visualizations: Experimental validation.
Inf. Softw. Technol., 2021

2020
Fostering Sustainability through Visualization Techniques for Real-Time IoT Data: A Case Study Based on Gas Turbines for Electricity Production.
Sensors, 2020

An Approach to Automatically Detect and Visualize Bias in Data Analytics.
Proceedings of the 22nd International Workshop on Design, 2020

2019
Visualization Requirements for Business Intelligence Analytics: A Goal-Based, Iterative Framework.
Proceedings of the 27th IEEE International Requirements Engineering Conference, 2019

Requirements-Driven Visualizations for Big Data Analytics: A Model-Driven Approach.
Proceedings of the Conceptual Modeling - 38th International Conference, 2019


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