Carmen Lacave
Carmen Lacave
Profesora Titular Universidad (UCLM)
Patvirtintas el. paštas
A review of explanation methods for Bayesian networks
C Lacave, FJ Díez
The Knowledge Engineering Review 17 (2), 107-127, 2002
A review of explanation methods for Bayesian networks
C Lacave, FJ Díez
The Knowledge Engineering Review 17 (2), 107-127, 2002
Análisis de la fiabilidad y validez de un cuestionario docente
C Lacave Rodero, AI Molina Díaz, M Fernández Guerrero, ...
Actas de las XXI Jornadas de la Enseñanza Universitaria de la Informática …, 2015
Explanation of Bayesian networks and influence diagrams in Elvira
C Lacave, M Luque, FJ Diez
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007
A review of explanation methods for heuristic expert systems
C Lacave, FJ Diez
The Knowledge Engineering Review 19 (2), 133-146, 2004
Assessing the effectiveness of new devices for accessing learning materials: An empirical analysis based on eye tracking and learner subjective perception
AI Molina, MA Redondo, C Lacave, M Ortega
Computers in Human Behavior 31, 475-490, 2014
Learning Analytics to identify dropout factors of Computer Science studies through Bayesian networks
C Lacave, AI Molina, JA Cruz-Lemus
Behaviour & Information Technology 37 (10-11), 993-1007, 2018
Knowledge Acquisition in PROSTANET–A Bayesian Network for Diagnosing Prostate Cancer
C Lacave, FJ Díez
Knowledge-Based Intelligent Information and Engineering Systems: 7th …, 2003
Use of Elvira’s explanation facility for debugging probabilistic expert systems
C Lacave, A Oniśko, FJ Díez
Knowledge-Based Systems 19 (8), 730-738, 2006
Graphical explanation in Bayesian networks
C Lacave, R Atienza, FJ Díez
Medical Data Analysis: First International Symposium, ISMDA 2000 Frankfurt …, 2000
Evaluating a graphical notation for modeling collaborative learning activities: A family of experiments
AI Molina, MA Redondo, M Ortega, C Lacave
Science of Computer Programming 88, 54-81, 2014
Analyzing the influence of a visualization system on students’ emotions: An empirical case study
C Lacave, JÁ Velázquez-Iturbide, M Paredes-Velasco, AI Molina
Computers & Education 149, 103817, 2020
Identificando algunas causas del fracaso en el aprendizaje de la recursividad: Análisis experimental en las asignaturas de programación
C Lacave, AI Molina, J Giralt
Asociación de Enseñantes Universitarios de la Informática (AENUI), 2013
Home rehabilitation based on gamification and serious games for young people: a systematic mapping study
C Gmez-Portes, C Lacave, AI Molina, D Vallejo
Applied Sciences 10 (24), 8849, 2020
A preliminary instrument for measuring students’ subjective perceptions of difficulties in learning recursion
C Lacave, AI Molina, MA Redondo
IEEE Transactions on Education 61 (2), 119-126, 2017
Learn‐CIAN: A visual language for the modelling of group learning processes
AI Molina, Y Arroyo, C Lacave, MA Redondo
British journal of educational technology 49 (6), 1096-1112, 2018
iProg: Development of immersive systems for the learning of programming
M Ortega, MA Redondo, AI Molina, C Bravo, C Lacave, Y Arroyo, ...
Proceedings of the XVIII International Conference on Human Computer …, 2017
A modern approach to supporting program visualization: from a 2D notation to 3D representations using augmented reality
S Schez-Sobrino, MÁ García, C Lacave, AI Molina, C Glez-Morcillo, ...
Multimedia Tools and Applications 80, 543-574, 2021
Applying mixed reality techniques for the visualization of programs and algorithms in a programming learning environment
S Sánchez, MÁ García, C Lacave, AI Molina, C González, D Vallejo, ...
Proceedings of the 10th International Conference on Mobile, Hybrid, and On …, 2018
Explanation for causal Bayesian networks in Elvira
C Lacave, FJ Dıez
Proceedings of the Workshop on Intelligent Data Analysis in Medicine and …, 2002
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Straipsniai 1–20