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2020 – today
- 2024
[j38]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: 108155 (2024)- [c13]Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristóbal Romero:
Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial Intelligence. EDM 2024 - [i2]Javier López-Zambrano, Juan Alfonso Lara, Cristóbal Romero:
Improving the portability of predicting students performance models by using ontologies. CoRR abs/2410.07358 (2024) - 2023
- [j37]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): 554 (2023) - [j36]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): 13103-13139 (2023) - [j35]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: e1402 (2023) - 2022
- [j34]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: 108244 (2022) - [j33]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): 10533-10575 (2022) - [j32]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: 102-137 (2022) - [j31]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): 1-19 (2022) - [j30]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): 20 (2022) - [j29]Malik Qasaimeh, Rand Abu Hammour, Muneer O. Bani Yassein, Raad S. Al-Qassas, Juan Alfonso Lara Torralbo, David Lizcano:
Advanced security testing using a cyber-attack forecasting model: A case study of financial institutions. J. Softw. Evol. Process. 34(11) (2022) - [j28]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) - 2021
- [j27]Shadi A. Aljawarneh, Juan Alfonso Lara:
Introduction to the special section on recent advancements in big data fusion. Comput. Electr. Eng. 89: 106900 (2021) - [j26]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: 106907 (2021) - [j25]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: 56-72 (2021) - [j24]Shadi A. Aljawarneh, Juan Alfonso Lara:
Data science for analyzing and improving educational processes. J. Comput. High. Educ. 33(3): 545-550 (2021) - [j23]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): 6:1-6:3 (2021) - [j22]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): 13:1-13:3 (2021) - [c12]Shadi A. Aljawarneh, Juan Alfonso Lara Torralbo:
Meteorological forecasting based on big data analysis. DATA 2021: 9-11 - [e2]Juan Alfonso Lara Torralbo, Shadi A. Aljawarneh, Vangipuram Radhakrishna, Arun N.:
DATA'21: International Conference on Data Science, E-learning and Information Systems 2021, Petra, Jordan, 5-7 April, 2021. ACM 2021, ISBN 978-1-4503-8838-2 [contents] - 2020
- [j21]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: 22988-23001 (2020) - [j20]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: 120548-120552 (2020) - [j19]Javier Andrade Garda, Aurea Anguera, Juan Ares Casal, Rafael García Vázquez, Juan Alfonso Lara, David Lizcano, Santiago Rodríguez Yáñez, Sonia Suárez:
A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks. Cogn. Technol. Work. 22(2): 235-248 (2020) - [j18]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) - [j17]Juan Alfonso Lara, Shadi A. Aljawarneh, Sonia Pamplona:
Special issue on the current trends in E-learning Assessment. J. Comput. High. Educ. 32(1): 1-8 (2020) - [j16]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): 109-134 (2020) - [j15]F. David de la Peña Esteban, Juan Alfonso Lara Torralbo, David Lizcano, María Concepción Burgos García:
Web gamification with problem simulators for teaching engineering. J. Comput. High. Educ. 32(1): 135-161 (2020) - [j14]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): 16367-16385 (2020) - [c11]Francisco Cervera, Juan Alfonso Lara:
A method for generating features representing the students' degree of anticipation/delay to complete assignments. EDM 2020
2010 – 2019
- 2019
- [j13]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: 260 (2019) - [j12]F. David de la Peña Esteban, Juan Alfonso Lara Torralbo, David Lizcano, María A. Martínez Rey:
Expert system for problem solving in distance university education: The successful case of the subject "operations management". Expert Syst. J. Knowl. Eng. 36(5) (2019) - [c10]Horacio Paggi, Javier Soriano, Juan Alfonso Lara:
A model of architecture for peer-to-peer systems based on information quality. DATA 2019: 1:1-1:4 - [i1]Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos:
The Advent of Technological Singularity: a Formal Metric. CoRR abs/1907.03841 (2019) - 2018
- [j11]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: 541-556 (2018) - [j10]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. 451-452: 271-294 (2018) - [j9]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): 173-188 (2018) - [c9]F. David de la Peña Esteban, David Lizcano Casas, María Aurora Martínez Rey, Juan Alfonso Lara Torralbo:
Application of simulators for teaching engineering subject. DATA 2018: 4:1-4:5 - [c8]F. David de la Peña Esteban, Juan Alfonso Lara Torralbo, David Lizcano Casas, María Aurora Martínez Rey, Juan Pazos Sierra:
A new approach to computing using informons and holons: towards a theory of computing science. DATA 2018: 7:1-7:7 - [e1]Juan Alfonso Lara Torralbo, Shadi A. Aljawarneh:
Proceedings of the First International Conference on Data Science, E-learning and Information Systems, DATA 2018, Madrid, Spain, October 01-02, 2018. ACM 2018, ISBN 978-1-4503-6536-9 [contents] - 2017
- [j8]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): 188 (2017) - 2016
- [j7]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: 125-144 (2016) - [c7]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 - 2014
- [j6]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: 23-36 (2014) - [j5]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): 335-351 (2014) - [j4]Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos:
Data preparation for KDD through automatic reasoning based on description logic. Inf. Syst. 44: 54-72 (2014) - [j3]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: 219-241 (2014) - 2013
- [j2]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): 1184-1195 (2013) - 2012
- [j1]Aurea Anguera, Juan Alfonso Lara, David Lizcano, María-Aurora Martínez, Juan Pazos:
Sensor-Generated Time Series Events: A Definition Language. Sensors 12(9): 11811-11852 (2012) - 2011
- [c6]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: 229-239 - 2010
- [b1]Juan Alfonso Lara Torralbo:
Marco de Descubrimiento de Conocimiento para Datos Estructuralmente Complejos con Énfasis en el Análisis de Eventos en Series Temporales. Technical University of Madrid, Spain, 2010 - [c5]Juan Alfonso Lara, Aurora Pérez-Pérez, Juan Pedro Valente, África López-Illescas:
Modelling Stabilometric Time Series. HEALTHINF 2010: 485-488 - [c4]Juan Alfonso Lara, Aurora Pérez-Pérez, Juan Pedro Valente, África López-Illescas:
Generating time series reference models based on event analysis. ECAI 2010: 1115-1116 - [c3]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: 635-642
2000 – 2009
- 2008
- [c2]Juan Alfonso Lara, Guillermo Moreno, Aurora Pérez-Pérez, Juan Pedro Valente, África López-Illescas:
Comparing Posturographic Time Series through Events Detection. CBMS 2008: 293-295 - [c1]Juan Alfonso Lara, Aurora Pérez-Pérez, Juan Pedro Valente, África López-Illescas:
Comparing Time Series through Event Clustering. IWPACBB 2008: 1-9
Coauthor Index
aka: David Lizcano Casas
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last updated on 2024-11-19 20:44 CET by the dblp team
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