Juan Alfonso Lara

56 papers A 1B 3C 2Journal 45Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Towards accessible AI for addressing students' academic dropout: an auto machine learning and explainable artificial intelligence approach.
Univers. Access Inf. Soc.
Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristóbal Romero
2025 J jnl
A method for outlier detection based on cluster analysis and visual expert criteria.
CoRR
Juan Alfonso Lara, David Lizcano, Víctor Rampérez, Javier Soriano
2025 J jnl
A review on data fusion in multimodal learning analytics and educational data mining.
CoRR
Wilson Chango, Juan Alfonso Lara, Rebeca Cerezo, Cristóbal Romero
2025 J jnl
A visual big data system for the prediction of weather-related variables: Jordan-Spain case study.
CoRR
Shadi A. Aljawarneh, Juan Alfonso Lara, Muneer O. Bani Yassein
2025 J jnl
FLAS: a combination of proactive and reactive auto-scaling architecture for distributed services.
CoRR
Víctor Rampérez, Javier Soriano, David Lizcano, Juan Alfonso Lara
2025 J jnl
From SLA to vendor-neutral metrics: An intelligent knowledge-based approach for multi-cloud SLA-based broker.
CoRR
Víctor Rampérez, Javier Soriano, David Lizcano, Shadi A. Aljawarneh, Juan Alfonso Lara
2025 J jnl
On the use of information fusion techniques to improve information quality: Taxonomy, opportunities and challenges.
CoRR
Raúl Gutiérrez, Víctor Rampérez, Horacio Paggi, Juan Alfonso Lara, Javier Soriano
2025 J jnl
Structures generated in a multiagent system performing information fusion in peer-to-peer resource-constrained networks.
CoRR
Horacio Paggi, Juan Alfonso Lara, Javier Soriano
2024 — conf
Contextual Deep Learning Approaches for Time Series Reconstruction.
COINS
Julio Ibarra-Fiallo, Juan Alfonso Lara
2024 B conf
Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial Intelligence.
EDM
Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristóbal Romero
2024 J jnl
Improving the portability of predicting students performance models by using ontologies.
CoRR
Javier López-Zambrano, Juan Alfonso Lara, Cristóbal Romero
2024 J jnl
Reviewing the differences between learning analytics and educational data mining: Towards educational data science.
Comput. Hum. Behav.
Rebeca Cerezo, Juan Alfonso Lara, Roger Azevedo, Cristóbal Romero
2023 J jnl
A Case-Study Comparison of Machine Learning Approaches for Predicting Student's Dropout from Multiple Online Educational Entities.
Algorithms
Jose Manuel Porras, Juan Alfonso Lara, Cristóbal Romero, Sebastián Ventura
2023 J jnl
A visual big data system for the prediction of weather-related variables: Jordan-Spain case study.
Multim. Tools Appl.
Shadi A. Aljawarneh, Juan Alfonso Lara, Muneer Beni Yassien
2023 J jnl
Towards the portability of knowledge in reinforcement learning-based systems for automatic drone navigation.
PeerJ Comput. Sci.
José M. Barreiro, Juan Alfonso Lara, Daniel Manrique, Peter Smith
2022 J jnl
A centralized matching scheme to solve the role-partner allocation problem in collaborative networks.
Comput. Ind. Eng.
Javier Andrade Garda, Juan Ares Casal, Marta Hidalgo-Lorenzo, Juan Alfonso Lara, David Lizcano, Sonia Suárez Garaboa
2022 J jnl
A review on data fusion in multimodal learning analytics and educational data mining.
WIREs Data Mining Knowl. Discov.
Wilson Chango, Juan Alfonso Lara, Rebeca Cerezo, Cristóbal Romero
2022 J jnl
Correction to: Improving the portability of predicting students' performance models by using ontologies.
J. Comput. High. Educ.
Javier López-Zambrano, Juan Alfonso Lara, Cristóbal Romero
2022 J jnl
From SLA to vendor-neutral metrics: An intelligent knowledge-based approach for multi-cloud SLA-based broker.
Int. J. Intell. Syst.
Víctor Rampérez, Javier Soriano, David Lizcano, Shadi A. Aljawarneh, Juan Alfonso Lara
2022 J jnl
Improving the portability of predicting students' performance models by using ontologies.
J. Comput. High. Educ.
Javier López-Zambrano, Juan Alfonso Lara, Cristóbal Romero
2022 J jnl
On the use of information fusion techniques to improve information quality: Taxonomy, opportunities and challenges.
Inf. Fusion
Raúl Gutiérrez, Víctor Rampérez, Horacio Paggi, Juan Alfonso Lara, Javier Soriano
2021 J jnl
Data science for analyzing and improving educational processes.
J. Comput. High. Educ.
Shadi A. Aljawarneh, Juan Alfonso Lara
2021 J jnl
Editorial: Special Issue on Quality Assessment and Management in Big Data - Part I.
ACM J. Data Inf. Qual.
Shadi A. Aljawarneh, Juan Alfonso Lara
2021 J jnl
Editorial: Special Issue on Quality Assessment and Management in Big Data - Part II.
ACM J. Data Inf. Qual.
Shadi A. Aljawarneh, Juan Alfonso Lara
2021 J jnl
FLAS: A combination of proactive and reactive auto-scaling architecture for distributed services.
Future Gener. Comput. Syst.
Víctor Rampérez, Javier Soriano, David Lizcano, Juan Alfonso Lara
2021 J jnl
Introduction to the special section on recent advancements in big data fusion.
Comput. Electr. Eng.
Shadi A. Aljawarneh, Juan Alfonso Lara
2021 J jnl
Towards the definition of an information quality metric for information fusion models.
Comput. Electr. Eng.
Horacio Paggi, Javier Soriano, Juan Alfonso Lara, Ernesto Damiani
2020 B conf
A method for generating features representing the students' degree of anticipation/delay to complete assignments.
EDM
Francisco Cervera, Juan Alfonso Lara
2020 J jnl
A method for outlier detection based on cluster analysis and visual expert criteria.
Expert Syst. J. Knowl. Eng.
Juan Alfonso Lara, David Lizcano, Víctor Rampérez, Javier Soriano
2020 J jnl
A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks.
Cogn. Technol. Work.
Javier Andrade Garda, Aurea Anguera, Juan Ares Casal, Rafael García Vázquez, Juan Alfonso Lara, David Lizcano, Santiago Rodríguez Yáñez, Sonia Suárez
2020 J jnl
Blockchain-based approach to create a model of trust in open and ubiquitous higher education.
J. Comput. High. Educ.
David Lizcano, Juan Alfonso Lara, Bebo White, Shadi A. Aljawarneh
2020 J jnl
Developing Big Data Projects in Open University Engineering Courses: Lessons Learned.
IEEE Access
Juan Alfonso Lara, Aurea Anguera De Sojo, Shadi A. Aljawarneh, Robert P. Schumaker, Bassam Al-Shargabi
2020 J jnl
IEEE Access Special Section Editorial: Machine Learning Designs, Implementations and Techniques.
IEEE Access
Shadi A. Aljawarneh, Oguz Bayat, Juan Alfonso Lara, Robert P. Schumaker
2020 J jnl
Special issue on the current trends in E-learning Assessment.
J. Comput. High. Educ.
Juan Alfonso Lara, Shadi A. Aljawarneh, Sonia Pamplona
2020 J jnl
Structures generated in a multiagent system performing information fusion in peer-to-peer resource-constrained networks.
Neural Comput. Appl.
Horacio Paggi, Juan Alfonso Lara, Javier Soriano
2019 C conf
A model of architecture for peer-to-peer systems based on information quality.
DATA
Horacio Paggi, Javier Soriano, Juan Alfonso Lara
2019 J jnl
Particularities of data mining in medicine: lessons learned from patient medical time series data analysis.
EURASIP J. Wirel. Commun. Netw.
Shadi A. Aljawarneh, Aurea Anguera, John William Atwood, Juan Alfonso Lara, David Lizcano
2019 J jnl
The Advent of Technological Singularity: a Formal Metric.
CoRR
Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos
2018 J jnl
A multi-agent system for minimizing information indeterminacy within information fusion scenarios in peer-to-peer networks with limited resources.
Inf. Sci.
Horacio Paggi, Javier Soriano, Juan Alfonso Lara
2018 J jnl
Data mining for modeling students' performance: A tutoring action plan to prevent academic dropout.
Comput. Electr. Eng.
Concepción Burgos, María L. Campanario, David de la Peña, Juan Alfonso Lara, David Lizcano, María-Aurora Martínez
2018 J jnl
Who Discovered the Binary System and Arithmetic? Did Leibniz Plagiarize Caramuel?
Sci. Eng. Ethics
Juan Ares Casal, Juan Alfonso Lara, David Lizcano, María-Aurora Martínez
2017 J jnl
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
Santiago Álvarez de Toledo, Aurea Anguera, José M. Barreiro, Juan Alfonso Lara, David Lizcano
2016 J jnl
A soft computing framework for classifying time series based on fuzzy sets of events.
Inf. Sci.
Juan Ares, Juan Alfonso Lara, David Lizcano, Sonia Suárez
2016 — conf
Data Mining in Stabilometry: Application to Patient Balance Study for Sports Talent Mapping.
MLSA@PKDD/ECML
Juan Alfonso Lara, David Lizcano, David de la Peña, José M. Barreiro
2014 J jnl
A UML profile for the conceptual modelling of structurally complex data: Easing human effort in the KDD process.
Inf. Softw. Technol.
Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos, Teresa Riera
2014 J jnl
A general framework for time series data mining based on event analysis: Application to the medical domains of electroencephalography and stabilometry.
J. Biomed. Informatics
Juan Alfonso Lara, David Lizcano, Aurora Pérez-Pérez, Juan Pedro Valente
2014 J jnl
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.
Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos, Teresa Riera
2014 J jnl
Data preparation for KDD through automatic reasoning based on description logic.
Inf. Syst.
Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos
2013 J jnl
Developing front-end Web 2.0 technologies to access services, content and things in the future Internet.
Future Gener. Comput. Syst.
Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos
2012 J jnl
Sensor-Generated Time Series Events: A Definition Language.
Sensors
Aurea Anguera, Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos
2011 C conf
Two Different Approaches of Feature Extraction for Classifying the EEG Signals.
EANN
Pari Jahankhani, Juan Alfonso Lara, Aurora Pérez-Pérez, Juan Pedro Valente
2010 — conf
Classification of Stabilometric Time-Series Using an Adaptive Fuzzy Inference Neural Network System.
ICAISC (1)
Juan Alfonso Lara, Pari Jahankhani, Aurora Pérez-Pérez, Juan Pedro Valente, Vassilis Kodogiannis
2010 A conf
Generating time series reference models based on event analysis.
ECAI
Juan Alfonso Lara, Aurora Pérez-Pérez, Juan Pedro Valente, África López-Illescas
2010 — conf
Modelling Stabilometric Time Series.
HEALTHINF
Juan Alfonso Lara, Aurora Pérez-Pérez, Juan Pedro Valente, África López-Illescas
2008 B conf
Comparing Posturographic Time Series through Events Detection.
CBMS
Juan Alfonso Lara, Guillermo Moreno, Aurora Pérez-Pérez, Juan Pedro Valente, África López-Illescas
2008 — conf
Comparing Time Series through Event Clustering.
IWPACBB
Juan Alfonso Lara, Aurora Pérez-Pérez, Juan Pedro Valente, África López-Illescas