Juan Alfonso Lara

According to our database1, Juan Alfonso Lara authored at least 46 papers between 2008 and 2022.

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



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


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

Editorial: Special Issue on Quality Assessment and Management in Big Data - Part II.
ACM J. Data Inf. Qual., 2021

Editorial: Special Issue on Quality Assessment and Management in Big Data - Part I.
ACM J. Data Inf. Qual., 2021

Data science for analyzing and improving educational processes.
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

Introduction to the special section on recent advancements in big data fusion.
Comput. Electr. Eng., 2021

Meteorological forecasting based on big data analysis.
Proceedings of the DATA'21: International Conference on Data Science, 2021

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

Special issue on the current trends in E-learning Assessment.
J. Comput. High. Educ., 2020

Web gamification with problem simulators for teaching engineering.
J. Comput. High. Educ., 2020

A method for outlier detection based on cluster analysis and visual expert criteria.
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

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

The Advent of Technological Singularity: a Formal Metric.
CoRR, 2019

A model of architecture for peer-to-peer systems based on information quality.
Proceedings of the Second International Conference on Data Science, 2019

Who Discovered the Binary System and Arithmetic? Did Leibniz Plagiarize Caramuel?
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

Application of simulators for teaching engineering subject.
Proceedings of the First International Conference on Data Science, 2018

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

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

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

Data preparation for KDD through automatic reasoning based on description logic.
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

Developing front-end Web 2.0 technologies to access services, content and things in the future Internet.
Future Gener. Comput. Syst., 2013

Sensor-Generated Time Series Events: A Definition Language.
Sensors, 2012

Two Different Approaches of Feature Extraction for Classifying the EEG Signals.
Proceedings of the Engineering Applications of Neural Networks, 2011

Classification of Stabilometric Time-Series Using an Adaptive Fuzzy Inference Neural Network System.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

Generating time series reference models based on event analysis.
Proceedings of the ECAI 2010, 2010

Modelling Stabilometric Time Series.
Proceedings of the HEALTHINF 2010, 2010

Comparing Time Series through Event Clustering.
Proceedings of the 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics, 2008

Comparing Posturographic Time Series through Events Detection.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008