Juan Alfonso Lara
Orcid: 0000-0001-5131-8447
According to our database1,
Juan Alfonso Lara
authored at least 51 papers
between 2008 and 2023.
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Bibliography
2023
A visual big data system for the prediction of weather-related variables: Jordan-Spain case study.
Multim. Tools Appl., April, 2023
Towards the portability of knowledge in reinforcement learning-based systems for automatic drone navigation.
PeerJ Comput. Sci., 2023
A Case-Study Comparison of Machine Learning Approaches for Predicting Student's Dropout from Multiple Online Educational Entities.
Algorithms, 2023
2022
From SLA to vendor-neutral metrics: An intelligent knowledge-based approach for multi-cloud SLA-based broker.
Int. J. Intell. Syst., December, 2022
A review on data fusion in multimodal learning analytics and educational data mining.
WIREs Data Mining Knowl. Discov., 2022
Advanced security testing using a cyber-attack forecasting model: A case study of financial institutions.
J. Softw. Evol. Process., 2022
Correction to: Improving the portability of predicting students' performance models by using ontologies.
J. Comput. High. Educ., 2022
Improving the portability of predicting students' performance models by using ontologies.
J. Comput. High. Educ., 2022
On the use of information fusion techniques to improve information quality: Taxonomy, opportunities and challenges.
Inf. Fusion, 2022
A centralized matching scheme to solve the role-partner allocation problem in collaborative networks.
Comput. Ind. Eng., 2022
2021
ACM J. Data Inf. Qual., 2021
ACM J. Data Inf. Qual., 2021
J. Comput. High. Educ., 2021
FLAS: A combination of proactive and reactive auto-scaling architecture for distributed services.
Future Gener. Comput. Syst., 2021
Towards the definition of an information quality metric for information fusion models.
Comput. Electr. Eng., 2021
Comput. Electr. Eng., 2021
Proceedings of the DATA'21: International Conference on Data Science, 2021
2020
Structures generated in a multiagent system performing information fusion in peer-to-peer resource-constrained networks.
Neural Comput. Appl., 2020
Blockchain-based approach to create a model of trust in open and ubiquitous higher education.
J. Comput. High. Educ., 2020
J. Comput. High. Educ., 2020
J. Comput. High. Educ., 2020
Expert Syst. J. Knowl. Eng., 2020
A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks.
Cogn. Technol. Work., 2020
Developing Big Data Projects in Open University Engineering Courses: Lessons Learned.
IEEE Access, 2020
IEEE Access Special Section Editorial: Machine Learning Designs, Implementations and Techniques.
IEEE Access, 2020
A method for generating features representing the students' degree of anticipation/delay to complete assignments.
Proceedings of the 13th International Conference on Educational Data Mining, 2020
2019
Expert system for problem solving in distance university education: The successful case of the subject "operations management".
Expert Syst. J. Knowl. Eng., 2019
Particularities of data mining in medicine: lessons learned from patient medical time series data analysis.
EURASIP J. Wirel. Commun. Netw., 2019
Proceedings of the Second International Conference on Data Science, 2019
2018
Sci. Eng. Ethics, 2018
A multi-agent system for minimizing information indeterminacy within information fusion scenarios in peer-to-peer networks with limited resources.
Inf. Sci., 2018
Data mining for modeling students' performance: A tutoring action plan to prevent academic dropout.
Comput. Electr. Eng., 2018
A new approach to computing using informons and holons: towards a theory of computing science.
Proceedings of the First International Conference on Data Science, 2018
Proceedings of the First International Conference on Data Science, 2018
2017
A Reinforcement Learning Model Equipped with Sensors for Generating Perception Patterns: Implementation of a Simulated Air Navigation System Using ADS-B (Automatic Dependent Surveillance-Broadcast) Technology.
Sensors, 2017
2016
A soft computing framework for classifying time series based on fuzzy sets of events.
Inf. Sci., 2016
Data Mining in Stabilometry: Application to Patient Balance Study for Sports Talent Mapping.
Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016
2014
A general framework for time series data mining based on event analysis: Application to the medical domains of electroencephalography and stabilometry.
J. Biomed. Informatics, 2014
Inf. Syst., 2014
A UML profile for the conceptual modelling of structurally complex data: Easing human effort in the KDD process.
Inf. Softw. Technol., 2014
A system for knowledge discovery in e-learning environments within the European Higher Education Area - Application to student data from Open University of Madrid, UDIMA.
Comput. Educ., 2014
2013
Developing front-end Web 2.0 technologies to access services, content and things in the future Internet.
Future Gener. Comput. Syst., 2013
2012
2011
Proceedings of the Engineering Applications of Neural Networks, 2011
2010
Marco de Descubrimiento de Conocimiento para Datos Estructuralmente Complejos con Énfasis en el Análisis de Eventos en Series Temporales.
PhD thesis, 2010
Classification of Stabilometric Time-Series Using an Adaptive Fuzzy Inference Neural Network System.
Proceedings of the Artificial Intelligence and Soft Computing, 2010
Proceedings of the ECAI 2010, 2010
Modelling Stabilometric Time Series.
Proceedings of the HEALTHINF 2010, 2010
2008
Proceedings of the 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics, 2008
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008