Juan Alfonso Lara

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 33

Top Topics

Lessons Learned

Conceptual Modelling

Information Quality

Top Venues

J. Comput. High. Educ.

Comput. Electr. Eng.

ACM J. Data Inf. Qual.

Publications

Rebeca Cerezo, Juan Alfonso Lara, Roger Azevedo, Cristóbal Romero
Reviewing the differences between learning analytics and educational data mining: Towards educational data science. Comput. Hum. Behav. 154 (2024)
Jose Manuel Porras, Juan Alfonso Lara, Cristóbal Romero, Sebastián Ventura
A Case-Study Comparison of Machine Learning Approaches for Predicting Student's Dropout from Multiple Online Educational Entities. Algorithms 16 (12) (2023)
José M. Barreiro, Juan Alfonso Lara, Daniel Manrique, Peter Smith
Towards the portability of knowledge in reinforcement learning-based systems for automatic drone navigation. PeerJ Comput. Sci. 9 (2023)
Shadi A. Aljawarneh, Juan Alfonso Lara, Muneer Beni Yassien
A visual big data system for the prediction of weather-related variables: Jordan-Spain case study. Multim. Tools Appl. 82 (9) (2023)
Javier López-Zambrano, Juan Alfonso Lara, Cristóbal Romero
Improving the portability of predicting students' performance models by using ontologies. J. Comput. High. Educ. 34 (1) (2022)
Víctor Rampérez, Javier Soriano, David Lizcano, Shadi A. Aljawarneh, Juan Alfonso Lara
From SLA to vendor-neutral metrics: An intelligent knowledge-based approach for multi-cloud SLA-based broker. Int. J. Intell. Syst. 37 (12) (2022)
Javier Andrade Garda, Juan Ares Casal, Marta Hidalgo-Lorenzo, Juan Alfonso Lara, David Lizcano, Sonia Suárez Garaboa
A centralized matching scheme to solve the role-partner allocation problem in collaborative networks. Comput. Ind. Eng. 169 (2022)
Raúl Gutiérrez, Víctor Rampérez, Horacio Paggi, Juan Alfonso Lara, Javier Soriano
On the use of information fusion techniques to improve information quality: Taxonomy, opportunities and challenges. Inf. Fusion 78 (2022)
Javier López-Zambrano, Juan Alfonso Lara, Cristóbal Romero
Correction to: Improving the portability of predicting students' performance models by using ontologies. J. Comput. High. Educ. 34 (1) (2022)
Wilson Chango, Juan Alfonso Lara, Rebeca Cerezo, Cristóbal Romero
A review on data fusion in multimodal learning analytics and educational data mining. WIREs Data Mining Knowl. Discov. 12 (4) (2022)
Shadi A. Aljawarneh, Juan Alfonso Lara
Editorial: Special Issue on Quality Assessment and Management in Big Data - Part I. ACM J. Data Inf. Qual. 13 (2) (2021)
Horacio Paggi, Javier Soriano, Juan Alfonso Lara, Ernesto Damiani
Towards the definition of an information quality metric for information fusion models. Comput. Electr. Eng. 89 (2021)
Shadi A. Aljawarneh, Juan Alfonso Lara
Editorial: Special Issue on Quality Assessment and Management in Big Data - Part II. ACM J. Data Inf. Qual. 13 (3) (2021)
Shadi A. Aljawarneh, Juan Alfonso Lara
Introduction to the special section on recent advancements in big data fusion. Comput. Electr. Eng. 89 (2021)
Shadi A. Aljawarneh, Juan Alfonso Lara
Data science for analyzing and improving educational processes. J. Comput. High. Educ. 33 (3) (2021)
Víctor Rampérez, Javier Soriano, David Lizcano, Juan Alfonso Lara
FLAS: A combination of proactive and reactive auto-scaling architecture for distributed services. Future Gener. Comput. Syst. 118 (2021)
Horacio Paggi, Juan Alfonso Lara, Javier Soriano
Structures generated in a multiagent system performing information fusion in peer-to-peer resource-constrained networks. Neural Comput. Appl. 32 (21) (2020)
Juan Alfonso Lara, Aurea Anguera De Sojo, Shadi A. Aljawarneh, Robert P. Schumaker, Bassam Al-Shargabi
Developing Big Data Projects in Open University Engineering Courses: Lessons Learned. IEEE Access 8 (2020)
Javier Andrade Garda, Aurea Anguera, Juan Ares Casal, Rafael García Vázquez, Juan Alfonso Lara, David Lizcano, Santiago Rodríguez Yánez, Sonia Suárez
A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks. Cogn. Technol. Work. 22 (2) (2020)
Francisco Cervera, Juan Alfonso Lara
A method for generating features representing the students' degree of anticipation/delay to complete assignments. EDM (2020)
Juan Alfonso Lara, David Lizcano, Víctor Rampérez, Javier Soriano
A method for outlier detection based on cluster analysis and visual expert criteria. Expert Syst. J. Knowl. Eng. 37 (5) (2020)
David Lizcano, Juan Alfonso Lara, Bebo White, Shadi A. Aljawarneh
Blockchain-based approach to create a model of trust in open and ubiquitous higher education. J. Comput. High. Educ. 32 (1) (2020)
Shadi A. Aljawarneh, Oguz Bayat, Juan Alfonso Lara, Robert P. Schumaker
IEEE Access Special Section Editorial: Machine Learning Designs, Implementations and Techniques. IEEE Access 8 (2020)
Juan Alfonso Lara, Shadi A. Aljawarneh, Sonia Pamplona
Special issue on the current trends in E-learning Assessment. J. Comput. High. Educ. 32 (1) (2020)
Horacio Paggi, Javier Soriano, Juan Alfonso Lara
A model of architecture for peer-to-peer systems based on information quality. DATA (2019)
Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos
The Advent of Technological Singularity: a Formal Metric. CoRR (2019)
Shadi A. Aljawarneh, Aurea Anguera, John William Atwood, Juan Alfonso Lara, David Lizcano
Particularities of data mining in medicine: lessons learned from patient medical time series data analysis. EURASIP J. Wirel. Commun. Netw. 2019 (2019)
Juan Ares Casal, Juan Alfonso Lara, David Lizcano, María-Aurora Martínez
Who Discovered the Binary System and Arithmetic? Did Leibniz Plagiarize Caramuel? Sci. Eng. Ethics 24 (1) (2018)
Concepción Burgos, María L. Campanario, David de la Peña, Juan Alfonso Lara, David Lizcano, María-Aurora Martínez
Data mining for modeling students' performance: A tutoring action plan to prevent academic dropout. Comput. Electr. Eng. 66 (2018)
Horacio Paggi, Javier Soriano, Juan Alfonso Lara
A multi-agent system for minimizing information indeterminacy within information fusion scenarios in peer-to-peer networks with limited resources. Inf. Sci. (2018)
Santiago Álvarez de Toledo, Aurea Anguera, José M. Barreiro, Juan Alfonso Lara, David Lizcano
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 17 (1) (2017)
Juan Alfonso Lara, David Lizcano, David de la Peña, José M. Barreiro
Data Mining in Stabilometry: Application to Patient Balance Study for Sports Talent Mapping. MLSA@PKDD/ECML (2016)
Juan Ares, Juan Alfonso Lara, David Lizcano, Sonia Suárez
A soft computing framework for classifying time series based on fuzzy sets of events. Inf. Sci. 330 (2016)
Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos, Teresa Riera
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. 72 (2014)
Juan Alfonso Lara, David Lizcano, Aurora Pérez-Pérez, Juan Pedro Valente
A general framework for time series data mining based on event analysis: Application to the medical domains of electroencephalography and stabilometry. J. Biomed. Informatics 51 (2014)
Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos, Teresa Riera
A UML profile for the conceptual modelling of structurally complex data: Easing human effort in the KDD process. Inf. Softw. Technol. 56 (3) (2014)
Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos
Data preparation for KDD through automatic reasoning based on description logic. Inf. Syst. 44 (2014)
Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos
Developing front-end Web 2.0 technologies to access services, content and things in the future Internet. Future Gener. Comput. Syst. 29 (5) (2013)
Aurea Anguera, Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos
Sensor-Generated Time Series Events: A Definition Language. Sensors 12 (9) (2012)
Pari Jahankhani, Juan Alfonso Lara, Aurora Pérez-Pérez, Juan Pedro Valente
Two Different Approaches of Feature Extraction for Classifying the EEG Signals. EANN/AIAI (1) (2011)
Juan Alfonso Lara, Aurora Pérez-Pérez, Juan Pedro Valente, África López-Illescas
Modelling Stabilometric Time Series. HEALTHINF (2010)
Juan Alfonso Lara, Pari Jahankhani, Aurora Pérez-Pérez, Juan Pedro Valente, Vassilis Kodogiannis
Classification of Stabilometric Time-Series Using an Adaptive Fuzzy Inference Neural Network System. ICAISC (1) (2010)
Juan Alfonso Lara, Aurora Pérez-Pérez, Juan Pedro Valente, África López-Illescas
Generating time series reference models based on event analysis. ECAI (2010)
Juan Alfonso Lara, Aurora Pérez-Pérez, Juan Pedro Valente, África López-Illescas
Comparing Time Series through Event Clustering. IWPACBB (2008)
Juan Alfonso Lara, Guillermo Moreno, Aurora Pérez-Pérez, Juan Pedro Valente, África López-Illescas
Comparing Posturographic Time Series through Events Detection. CBMS (2008)