Isel Grau
Orcid: 0000-0002-8035-2887
According to our database1,
Isel Grau
authored at least 40 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Comput. Intell. Mag., February, 2024
2023
IEEE Trans. Cybern., October, 2023
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model.
CoRR, 2023
CoRR, 2023
Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring.
Proceedings of the Process Mining Workshops, 2023
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023
2022
IEEE Trans. Cybern., 2022
Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022
2021
2020
An interpretable semi-supervised classifier using two different strategies for amended self-labeling.
CoRR, 2020
An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020
2018
FCM Expert: Software Tool for Scenario Analysis and Pattern Classification Based on Fuzzy Cognitive Maps.
Int. J. Artif. Intell. Tools, 2018
2017
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and Challenges.
Proceedings of the Soft Computing Based Optimization and Decision Models, 2017
2016
Proceedings of the Recent Advances in Computational Intelligence in Defense and Security, 2016
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016
2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015
2014
Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance.
Expert Syst. Appl., 2014
Hacia la diversidad de la bandada: procedimiento RSVN usando una distribución de Lévy.
Computación y Sistemas, 2014
Mutación de la proteína proteasa del VIH utilizando optimización basada en colonia de hormigas y mapas cognitivos difusos: análisis de susceptibilidad a fármacos.
Computación y Sistemas, 2014
Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, 2014
Determining Positions Associated with Drug Resistance on HIV-1 Proteins: A Computational Approach.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014
2013
Algoritmo de retropropagación a través de tiempo para el aprendizaje de redes neuronales recurrentes usando instancias de longitud variable.
Computación y Sistemas, 2013
Proceedings of the Advances in Soft Computing and Its Applications, 2013
Self-adaptive differential particle swarm using a ring topology for multimodal optimization.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013
Predicting HIV-1 Protease and Reverse Transcriptase Drug Resistance Using Fuzzy Cognitive Maps.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013
2012
Polibits, 2012
Modelling, Aggregation and Simulation of a Dynamic Biological System through Fuzzy Cognitive Maps.
Proceedings of the Advances in Computational Intelligence, 2012
Predicting the Efficiency with Knowledge Discovery of a Budgeted Company: A Cuban University - Validation through Three Semesters.
Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012
Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012