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Alejandro Maté
Alejandro Mate
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- affiliation: University of Alicante, Spain
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2020 – today
- 2025
- [j35]Ana Lavalle, Miguel A. Teruel, Alejandro Maté, Juan Trujillo:
Study of gender perspective in STEM degrees and its relationship with video games. Entertain. Comput. 52: 100889 (2025) - 2024
- [j34]Manuel Paneque
, María del Mar Roldán García
An ontology-based secure design framework for graph-based databases. Comput. Stand. Interfaces 88: 103801 (2024) - [j33]Jose M. Barrera, Alejandro Reina-Reina
An extension of iStar for Machine Learning requirements by following the PRISE methodology. Comput. Stand. Interfaces 88: 103806 (2024) - [c40]Jorge García-Carrasco, Alejandro Maté, Juan C. Trujillo:
How does GPT-2 Predict Acronyms? Extracting and Understanding a Circuit via Mechanistic Interpretability. AISTATS 2024: 3322-3330 - [c39]Jorge García-Carrasco, Alejandro Maté, Juan Trujillo:
Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability. IJCAI 2024: 385-393 - [i5]Ana Lavalle, Alejandro Maté, Juan Trujillo:
Requirements-Driven Visualizations for Big Data Analytics: a Model-Driven approach. CoRR abs/2402.07914 (2024) - [i4]Ana Lavalle, Alejandro Maté, Juan Trujillo, Stefano Rizzi:
Visualization Requirements for Business Intelligence Analytics: A Goal-Based, Iterative Framework. CoRR abs/2402.09491 (2024) - [i3]Jorge García-Carrasco, Alejandro Maté, Juan Trujillo:
How does GPT-2 Predict Acronyms? Extracting and Understanding a Circuit via Mechanistic Interpretability. CoRR abs/2405.04156 (2024) - [i2]Sandra García-Ponsoda, Alejandro Maté, Juan Trujillo:
Enhancing ADHD Diagnosis with EEG: The Critical Role of Preprocessing and Key Features. CoRR abs/2407.08316 (2024) - [i1]Jorge García-Carrasco, Alejandro Maté, Juan Trujillo:
Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability. CoRR abs/2407.19842 (2024) - 2023
- [j32]Ana Lavalle
A Data Analytics Methodology to Visually Analyze the Impact of Bias and Rebalancing. IEEE Access 11: 56691-56702 (2023) - [j31]Sandra García-Ponsoda
Feature engineering of EEG applied to mental disorders: a systematic mapping study. Appl. Intell. 53(20): 23203-23243 (2023) - [c38]Jorge García-Carrasco
A Data-Driven Methodology for Guiding the Selection of Preprocessing Techniques in a Machine Learning Pipeline. CAiSE Forum 2023: 34-42 - [c37]Ana Lavalle, Alejandro Maté, Juan Trujillo, Miguel A. Teruel, Alexander Sánchez Díaz:
A smart data holistic approach for context-aware data analytics (AETHER-UA) (short paper). ER (Companion) 2023 - [c36]Álvaro Navarro, Ana Lavalle, Alejandro Maté, Juan C. Trujillo:
A modeling approach for designing explainable Artificial Intelligence. ER (Companion) 2023 - [c35]Álvaro Navarro
An Approach Aligned with Model Driven Development to Evaluate the Quality of Explainable Artificial Intelligence. ER (Workshops) 2023: 284-293 - [e2]Sotirios Liaskos, Roxana L. Q. Portugal, Alejandro Maté:
Proceedings of the 16th International iStar Workshop (iStar 2023) co-located with 31st IEEE International Requirements Engineering 2023 Conference (RE 2023), Hannover, Germany, September 03-04, 2023. CEUR Workshop Proceedings 3533, CEUR-WS.org 2023 [contents] - [d2]Belén Ramos-Gutiérrez
On making informed decisions regarding clustering event logs in process discovery. Zenodo, 2023 - [d1]Belén Ramos-Gutiérrez
On making informed decisions regarding clustering event logs in process discovery. Zenodo, 2023 - 2022
- [j30]Manuel J. Rivera, Miguel A. Teruel
Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study. Artif. Intell. Rev. 55(2): 1209-1251 (2022) - [j29]Roberto Tardío
Beyond TPC-DS, a benchmark for Big Data OLAP systems (BDOLAP-Bench). Future Gener. Comput. Syst. 132: 136-151 (2022) - [j28]Carlos Blanco
Security policies by design in NoSQL document databases. J. Inf. Secur. Appl. 65: 103120 (2022) - [j27]Jose M. Barrera
Fault detection and diagnosis for industrial processes based on clustering and autoencoders: a case of gas turbines. Int. J. Mach. Learn. Cybern. 13(10): 3113-3129 (2022) - [c34]Ana Lavalle, Alejandro Mate, Juan Trujillo, Jorge García:
A Methodology based on Rebalancing Techniques to Measure and Improve Fairness in Artificial Intelligence algorithms. DOLAP 2022: 81-85 - [c33]Ana Lavalle
Law Modeling for Fairness Requirements Elicitation in Artificial Intelligence Systems. ER 2022: 423-432 - [e1]Alejandro Maté, Tong Li, Enyo J. T. Gonçalves:
Proceedings of the 15th International iStar Workshop (iStar 2022) co-located with 41th International Conference on Conceptual Modeling (ER 2022), Virtual Event, Hyderabad, India, October 17, 2022. CEUR Workshop Proceedings 3231, CEUR-WS.org 2022 [contents] - 2021
- [j26]María del Mar Roldán García
Ontology-driven approach for KPI meta-modelling, selection and reasoning. Int. J. Inf. Manag. 58: 102018 (2021) - [j25]Ana Lavalle
A methodology to automatically translate user requirements into visualizations: Experimental validation. Inf. Softw. Technol. 136: 106592 (2021) - [j24]Alejandro Maté, Jesús Peral
Improving security in NoSQL document databases through model-driven modernization. Knowl. Inf. Syst. 63(8): 2209-2230 (2021) - [c32]Jose M. Barrera, Alejandro Reina, Alejandro Maté, Juan C. Trujillo:
Applying i* in Conceptual Modelling in Machine Learning. iStar 2021: 56-62 - 2020
- [j23]Roberto Tardío
An Iterative Methodology for Defining Big Data Analytics Architectures. IEEE Access 8: 210597-210616 (2020) - [j22]Ana Lavalle
Fostering Sustainability through Visualization Techniques for Real-Time IoT Data: A Case Study Based on Gas Turbines for Electricity Production. Sensors 20(16): 4556 (2020) - [c31]Ana Lavalle, Alejandro Maté, Juan Trujillo:
An Approach to Automatically Detect and Visualize Bias in Data Analytics. DOLAP 2020: 84-88
2010 – 2019
- 2019
- [j21]Sunho Kim, Ricardo Pérez-Castillo, Ismael Caballero
Extending Data Quality Management for Smart Connected Product Operations. IEEE Access 7: 144663-144678 (2019) - [j20]Miguel A. Teruel, Alejandro Maté
The New Era of Business Intelligence Applications: Building from a Collaborative Point of View. Bus. Inf. Syst. Eng. 61(5): 615-634 (2019) - [j19]Jennifer Horkoff
Goal-oriented requirements engineering: an extended systematic mapping study. Requir. Eng. 24(2): 133-160 (2019) - [c30]Ana Lavalle
Requirements-Driven Visualizations for Big Data Analytics: A Model-Driven Approach. ER 2019: 78-92 - [c29]Ana Lavalle
Visualization Requirements for Business Intelligence Analytics: A Goal-Based, Iterative Framework. RE 2019: 109-119 - 2018
- [j18]José Miguel Pérez-Álvarez
Tactical Business-Process-Decision Support based on KPIs Monitoring and Validation. Comput. Ind. 102: 23-39 (2018) - [j17]Ricardo Pérez-Castillo
DAQUA-MASS: An ISO 8000-61 Based Data Quality Management Methodology for Sensor Data. Sensors 18(9): 3105 (2018) - [c28]Carlos Blanco
How the Conceptual Modelling Improves the Security on Document Databases. ER 2018: 497-504 - [c27]Ricardo Pérez-Castillo
Data Quality Best Practices in IoT Environments. QUATIC 2018: 272-275 - 2017
- [j16]Jesús Peral
Application of Data Mining techniques to identify relevant Key Performance Indicators. Comput. Stand. Interfaces 50: 55-64 (2017) - [j15]Jesús Peral
Application of Data Mining techniques to identify relevant Key Performance Indicators. Comput. Stand. Interfaces 54: 76-85 (2017) - [j14]Alejandro Maté
Specification and derivation of key performance indicators for business analytics: A semantic approach. Data Knowl. Eng. 108: 30-49 (2017) - [j13]María Hallo Carrasco, Sergio Luján-Mora
Evaluating open access journals using Semantic Web technologies and scorecards. J. Inf. Sci. 43(1): 3-16 (2017) - [c26]Alejandro Maté, Juan Trujillo, John Mylopoulos:
Conceptual Modeling for Indicator Selection. Conceptual Modeling Perspectives 2017: 55-68 - [c25]Alberto Esteban, Alejandro Maté, Juan Trujillo
Using Multidimensional Concepts for Detecting Problematic Sub-KPIs in Analysis Systems. ER Workshops 2017: 164-173 - 2016
- [j12]Alejandro Maté
The improvement of analytics in massive open online courses by applying data mining techniques. Expert Syst. J. Knowl. Eng. 33(4): 374-382 (2016) - [j11]Alejandro Maté
A hybrid integrated architecture for energy consumption prediction. Future Gener. Comput. Syst. 63: 131-147 (2016) - [j10]Alejandro Maté
Empowering global software development with business intelligence. Inf. Softw. Technol. 76: 81-91 (2016) - [j9]Antonio Ferrández
A framework for enriching Data Warehouse analysis with Question Answering systems. J. Intell. Inf. Syst. 46(1): 61-82 (2016) - [j8]María Hallo Carrasco
Current state of Linked Data in digital libraries. J. Inf. Sci. 42(2): 117-127 (2016) - [c24]Alejandro Maté
Key Performance Indicator Elicitation and Selection Through Conceptual Modelling. ER 2016: 73-80 - [c23]Elda Paja
Can Goal Reasoning Techniques Be Used for Strategic Decision-Making? ER 2016: 530-543 - [c22]Evellin Cardoso, John Mylopoulos, Alejandro Mate
Strategic Enterprise Architectures. PoEM 2016: 57-71 - [c21]Jennifer Horkoff
Goal-Oriented Requirements Engineering: A Systematic Literature Map. RE 2016: 106-115 - 2015
- [j7]Jesús Peral
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 26(2): 203-216 (2015) - [j6]Antonio Ferrández
An authoring tool for decision support systems in context questions of ecological knowledge. Ecol. Informatics 30: 328-344 (2015) - [j5]Alejandro Maté
A Novel Multidimensional Approach to Integrate Big Data in Business Intelligence. J. Database Manag. 26(2): 14-31 (2015) - [c20]Roberto Tardío, Alejandro Maté
An iterative methodology for big data management, analysis and visualization. IEEE BigData 2015: 545-550 - [c19]María Hallo Carrasco
Publishing a scorecard for evaluating the use of open-access journals using linked data technologies. CITS 2015: 1-5 - [c18]Alejandro Mate
Monitoring Strategic Business Goals with Argus. EDOC 2015: 1-8 - [c17]Alejandro Maté
Stress Testing Strategic Goals with SWOT Analysis. ER 2015: 65-78 - 2014
- [j4]Alejandro Maté
Tracing conceptual models' evolution in data warehouses by using the model driven architecture. Comput. Stand. Interfaces 36(5): 831-843 (2014) - [j3]Alejandro Maté
Adding semantic modules to improve goal-oriented analysis of data warehouses using I-star. J. Syst. Softw. 88: 102-111 (2014) - [c16]Alejandro Maté, Kostas Zoumpatianos, Themis Palpanas, Juan Trujillo, John Mylopoulos, Elvis Koci:
A systematic approach for dynamic targeted monitoring of KPIs. CASCON 2014: 192-206 - [c15]Jesús Peral
Energy Consumption Prediction by Using an Integrated Multidimensional Modeling Approach and Data Mining Techniques with Big Data. ER Workshops 2014: 45-54 - [c14]Miguel A. Teruel, Roberto Tardío, Elena Navarro
CSRML4BI: A Goal-Oriented Requirements Approach for Collaborative Business Intelligence. ER 2014: 423-430 - 2013
- [c13]Konstantinos Zoumpatianos, Themis Palpanas, John Mylopoulos, Alejandro Maté, Juan Trujillo:
Monitoring and diagnosing indicators for business analytics. CASCON 2013: 177-191 - [c12]Alejandro Maté, Elisa de Gregorio, José Cámara, Juan Trujillo
Improving Massive Open Online Courses Analysis by Applying Modeling and Text Mining: A Case Study. ER Workshops 2013: 29-38 - [c11]Alejandro Maté, Juan Trujillo, Eric S. K. Yu:
Aligning Data Warehouse Requirements with Business Goals. iStar 2013: 67-72 - 2012
- [j2]Alejandro Maté
A trace metamodel proposal based on the model driven architecture framework for the traceability of user requirements in data warehouses. Inf. Syst. 37(8): 753-766 (2012) - [c10]Alejandro Maté, Juan Trujillo, John Mylopoulos:
Conceptualizing and specifying key performance indicators in business strategy models. CASCON 2012: 102-115 - [c9]Alejandro Maté
Improving the maintainability of data warehouse designs: modeling relationships between sources and user concepts. DOLAP 2012: 25-32 - [c8]Alejandro Maté
An Integrated Multidimensional Modeling Approach to Access Big Data in Business Intelligence Platforms. ER Workshops 2012: 111-120 - [c7]Alejandro Maté
Conceptualizing and Specifying Key Performance Indicators in Business Strategy Models. ER 2012: 282-291 - 2011
- [c6]Alejandro Mate
A Trace Metamodel Proposal Based on the Model Driven Architecture Framework for the Traceability of User Requirements in Data Warehouses. CAiSE 2011: 123-137 - [c5]Juan Trujillo
Business Intelligence 2.0: A General Overview. eBISS 2011: 98-116 - [c4]Alejandro Mate
A Modularization Proposal for Goal-Oriented Analysis of Data Warehouses Using I-Star. ER 2011: 421-428 - [c3]Alejandro Mate
Incorporating Traceability in Conceptual Models for Data Warehouses by Using MDA. ER 2011: 459-466 - [c2]Xavier Franch, Alejandro Maté
On the joint use of i* with other modelling frameworks: A vision paper. RE 2011: 133-142
2000 – 2009
- 2009
- [j1]Irene Garrigós, Octavio Glorio, Paul Hernández, Alejandro Mate:
An Eclipse-based Tool for Model Driven Web Applications with Personalization Support. RITA 16(2): 99-102 (2009) - [c1]Irene Garrigós, Octavio Glorio, Paul Hernández, Alejandro Mate:
Una Aplicación basada en Eclipse para la Personalización de Aplicaciones Web Dirigida por Modelos. JISBD 2009: 363-366
Coauthor Index
[j35] [j34] [j33] [c40] [c39] [i5] [i4] [i3] [i2] [i1] [j32] [j31] [c38] [c37] [c36] [c35] [d2] [d1] [j30] [j29] [j28] [j27] [c34] [c33] [j26] [j25] [j24] [c32] [j23] [j22] [c31] [j20] [c30] [c29] [j18] [j14] [c26] [c25] [j12] [j11] [j10] [j9] [j8] [c24] [c22] [j7] [j6] [j5] [c20] [c18] [c17] [j4] [j3] [c16] [c14] [c13] [c12] [c11] [j2] [c10] [c9] [c7] [c6] [c5] [c4] [c3] [c2]
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