Carmen Lacave
Carmen Lacave
Profesor Titular Universidad (UCLM)
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Cited by
Cited by
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
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
Anáisis de la fiabilidad y validez de un cuestionario docente
C Lacave Rodero, AI Molina Díaz, M Fernández Guerrero, ...
ReVisión 9 (1), 2016
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
Knowledge Acquisition in PROSTANET–A Bayesian Network for Diagnosing Prostate Cancer
C Lacave, FJ Díez
International Conference on Knowledge-Based and Intelligent Information and …, 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
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
Graphical explanation in Bayesian networks
C Lacave, R Atienza, FJ Díez
International Symposium on Medical Data Analysis, 122-129, 2000
Identificando algunas causas del fracaso en el aprendizaje de la recursividad: Análisis experimental en las asignaturas de programación
C Lacave, AI Molina, J Giralt
Jornadas de Enseñanza Universitaria de la Informática (19es: 2013: Castelló …, 2013
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
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
Explanation for causal Bayesian networks in Elvira
C Lacave, FJ Dıez
Proceedings of the Workshop on Intelligent Data Analysis in Medicine and …, 2002
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
Applying mixed reality techniques for the visualization of programs and algorithms in a programming learning environment
S Sánchez, MA García, C Lacave, AI Molina, C González, D Vallejo, ...
Proceedings of the 10th International Conference on Mobile, Hybrid, and On …, 2018
Explanation in causal Bayesian networks. Medical applications
C Lacave
PhD thesis, Department of Inteligencia Artificial. UNED, Madrid, Spain (in …, 2003
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
The GreedEx experience: Evolution of different versions for the learning of greedy algorithms
Y Arroyo, AI Molina, C Lacave, MA Redondo, M Ortega
Computer Applications in Engineering Education 26 (5), 1306-1317, 2018
Using bayesian networks for learning analytics in engineering education: A case study on computer science dropout at UCLM
C Lacave, AI Molina
The International journal of engineering education 34 (3), 879-894, 2018
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