Juan Alfonso Lara

Orcid: 0000-0001-5131-8447

According to our database1, Juan Alfonso Lara authored at least 53 papers between 2008 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Reviewing the differences between learning analytics and educational data mining: Towards educational data science.
Comput. Hum. Behav., 2024

Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial Intelligence.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

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
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

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

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

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

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

2018
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

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

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

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

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

2011
Two Different Approaches of Feature Extraction for Classifying the EEG Signals.
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

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

2008
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


  Loading...