Publicaciones (56) Publicaciones de JUAN FERNÁNDEZ OLIVARES

2023

  1. Application of explainable artificial intelligence to analyze basic features of a tender

    International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023

  2. In heaven as on earth: The performance of students is as good as it is the digraph that describes their behavior

    25th International Symposium on Computers in Education, SIIE 2023

2022

  1. Analyzing Driver Behavior Compliance under HoS Regulations

    International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings

  2. Efficient inference models for classification problems with a high number of fuzzy rules[Formula presented]

    Applied Soft Computing, Vol. 115

  3. Learning to select goals in Automated Planning with Deep-Q Learning[Formula presented]

    Expert Systems with Applications, Vol. 202

2021

  1. A Proposal to Integrate Deep Q-Learning with Automated Planning to Improve the Performance of a Planning-Based Agent

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Discovering relational and numerical expressions from plan traces for learning action models

    Applied Intelligence, Vol. 51, Núm. 11, pp. 7973-7989

  3. Discovering the dinosaur

    SIIE 2021 - 2021 International Symposium on Computers in Education

  4. Herramientas de gamificación para la enseñanza de técnicas de búsqueda heurística en entornos dinámicos

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 6, pp. 179-186

2020

  1. Driver activity recognition by means of temporal HTN planning

    Proceedings International Conference on Automated Planning and Scheduling, ICAPS

2019

  1. Personalized conciliation of clinical guidelines for comorbid patients through multi-agent planning

    Artificial Intelligence in Medicine, Vol. 96, pp. 167-186

2018

  1. Learning planning action models with numerical information and logic relationships using classification techniques

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Learning planning action models with numerical information and logic relationships using classification techniques: abstract

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  3. Time prediction on multi-perspective declarative business processes

    Knowledge and Information Systems, Vol. 57, Núm. 3, pp. 655-684

  4. Using inductive rule learning techniques to learn planning domains

    Communications in Computer and Information Science

  5. Using inductive rule learning techniques to learn planning domains

    Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications: 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III

2017

  1. Integration of an automated hierarchical task planner in ros using behaviour trees

    Proceedings - 6th IEEE International Conference on Space Mission Challenges for Information Technology, SMC-IT 2017

2014

  1. A knowledge-based architecture for the management of patient-focused care pathways

    Applied Intelligence, Vol. 40, Núm. 3, pp. 497-524

  2. Separating the autonomous behaviors and coordination regimes of non-player characters

    CEUR Workshop Proceedings

2013

  1. A common-recipe and conflict-solving MAP approach for care planning in comorbid patients

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)