Alejandro Maté
Orcid: 0000-0001-7770-3693Affiliations:
- University of Alicante, Spain
According to our database1,
Alejandro Maté
authored at least 78 papers
between 2009 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2025
Entertain. Comput., 2025
A methodology for the systematic design of storytelling dashboards applied to Industry 4.0.
Data Knowl. Eng., 2025
2024
Comput. Stand. Interfaces, March, 2024
An extension of iStar for Machine Learning requirements by following the PRISE methodology.
Comput. Stand. Interfaces, March, 2024
Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference.
CoRR, 2024
Enhancing ADHD Diagnosis with EEG: The Critical Role of Preprocessing and Key Features.
CoRR, 2024
Refining ADHD diagnosis with EEG: The impact of preprocessing and temporal segmentation on classification accuracy.
Comput. Biol. Medicine, 2024
Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
How does GPT-2 Predict Acronyms? Extracting and Understanding a Circuit via Mechanistic Interpretability.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Appl. Intell., October, 2023
Dataset, July, 2023
Dataset, July, 2023
IEEE Access, 2023
An Approach Aligned with Model Driven Development to Evaluate the Quality of Explainable Artificial Intelligence.
Proceedings of the Advances in Conceptual Modeling, 2023
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
A Data-Driven Methodology for Guiding the Selection of Preprocessing Techniques in a Machine Learning Pipeline.
Proceedings of the Intelligent Information Systems, 2023
2022
Fault detection and diagnosis for industrial processes based on clustering and autoencoders: a case of gas turbines.
Int. J. Mach. Learn. Cybern., 2022
Future Gener. Comput. Syst., 2022
Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study.
Artif. Intell. Rev., 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
Knowl. Inf. Syst., 2021
A methodology to automatically translate user requirements into visualizations: Experimental validation.
Inf. Softw. Technol., 2021
Int. J. Inf. Manag., 2021
Proceedings of the 14th International iStar Workshop (iStar 2021), 2021
2020
Fostering Sustainability through Visualization Techniques for Real-Time IoT Data: A Case Study Based on Gas Turbines for Electricity Production.
Sensors, 2020
IEEE Access, 2020
Proceedings of the 22nd International Workshop on Design, 2020
2019
Requir. Eng., 2019
The New Era of Business Intelligence Applications: Building from a Collaborative Point of View.
Bus. Inf. Syst. Eng., 2019
IEEE Access, 2019
Visualization Requirements for Business Intelligence Analytics: A Goal-Based, Iterative Framework.
Proceedings of the 27th IEEE International Requirements Engineering Conference, 2019
Proceedings of the Conceptual Modeling - 38th International Conference, 2019
2018
DAQUA-MASS: An ISO 8000-61 Based Data Quality Management Methodology for Sensor Data.
Sensors, 2018
Comput. Ind., 2018
Proceedings of the 11th International Conference on the Quality of Information and Communications Technology, 2018
Proceedings of the Conceptual Modeling - 37th International Conference, 2018
2017
J. Inf. Sci., 2017
Specification and derivation of key performance indicators for business analytics: A semantic approach.
Data Knowl. Eng., 2017
Application of Data Mining techniques to identify relevant Key Performance Indicators.
Comput. Stand. Interfaces, 2017
Using Multidimensional Concepts for Detecting Problematic Sub-KPIs in Analysis Systems.
Proceedings of the Advances in Conceptual Modeling, 2017
Proceedings of the Conceptual Modeling Perspectives., 2017
2016
J. Intell. Inf. Syst., 2016
Inf. Softw. Technol., 2016
Future Gener. Comput. Syst., 2016
The improvement of analytics in massive open online courses by applying data mining techniques.
Expert Syst. J. Knowl. Eng., 2016
Proceedings of the 24th IEEE International Requirements Engineering Conference, 2016
Proceedings of the Practice of Enterprise Modeling, 2016
Proceedings of the Conceptual Modeling - 35th International Conference, 2016
Proceedings of the Conceptual Modeling - 35th International Conference, 2016
2015
J. Database Manag., 2015
Enrichment of the phenotypic and genotypic Data Warehouse analysis using Question Answering systems to facilitate the decision making process in cereal breeding programs.
Ecol. Informatics, 2015
An authoring tool for decision support systems in context questions of ecological knowledge.
Ecol. Informatics, 2015
Proceedings of the Conceptual Modeling - 34th International Conference, 2015
Proceedings of the 19th IEEE International Enterprise Distributed Object Computing Conference, 2015
Publishing a scorecard for evaluating the use of open-access journals using linked data technologies.
Proceedings of the International Conference on Computer, 2015
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
Adding semantic modules to improve goal-oriented analysis of data warehouses using I-star.
J. Syst. Softw., 2014
Tracing conceptual models' evolution in data warehouses by using the model driven architecture.
Comput. Stand. Interfaces, 2014
CSRML4BI: A Goal-Oriented Requirements Approach for Collaborative Business Intelligence.
Proceedings of the Conceptual Modeling - 33rd International Conference, 2014
Energy Consumption Prediction by Using an Integrated Multidimensional Modeling Approach and Data Mining Techniques with Big Data.
Proceedings of the Advances in Conceptual Modeling, 2014
Proceedings of 24th Annual International Conference on Computer Science and Software Engineering, 2014
2013
Proceedings of the 6th International <i>i*</i> Workshop 2013, 2013
Improving Massive Open Online Courses Analysis by Applying Modeling and Text Mining: A Case Study.
Proceedings of the Advances in Conceptual Modeling, 2013
Proceedings of the Center for Advanced Studies on Collaborative Research, 2013
2012
A trace metamodel proposal based on the model driven architecture framework for the traceability of user requirements in data warehouses.
Inf. Syst., 2012
Conceptualizing and Specifying Key Performance Indicators in Business Strategy Models.
Proceedings of the Conceptual Modeling, 2012
An Integrated Multidimensional Modeling Approach to Access Big Data in Business Intelligence Platforms.
Proceedings of the Advances in Conceptual Modeling, 2012
Improving the maintainability of data warehouse designs: modeling relationships between sources and user concepts.
Proceedings of the DOLAP 2012, 2012
2011
Proceedings of the RE 2011, 19th IEEE International Requirements Engineering Conference, Trento, Italy, August 29 2011, 2011
A Modularization Proposal for Goal-Oriented Analysis of Data Warehouses Using I-Star.
Proceedings of the Conceptual Modeling - ER 2011, 30th International Conference, 2011
Proceedings of the Conceptual Modeling - ER 2011, 30th International Conference, 2011
Proceedings of the Business Intelligence - First European Summer School, 2011
2009
An Eclipse-based Tool for Model Driven Web Applications with Personalization Support.
RITA, 2009
Una Aplicación basada en Eclipse para la Personalización de Aplicaciones Web Dirigida por Modelos.
Proceedings of the XIV Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2009), 2009