Isel Grau

Orcid: 0000-0002-8035-2887

According to our database1, Isel Grau authored at least 44 papers between 2012 and 2024.

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Bibliography

2024
Forward Composition Propagation for Explainable Neural Reasoning.
IEEE Comput. Intell. Mag., February, 2024

Backpropagation through time learning for recurrence-aware long-term cognitive networks.
Knowl. Based Syst., 2024

A revised cognitive mapping methodology for modeling and simulation.
Knowl. Based Syst., 2024

Sparseness-Optimized Feature Importance.
Proceedings of the Explainable Artificial Intelligence, 2024

Long Short-term Cognitive Networks: An Empirical Performance Study.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023
Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification.
IEEE Trans. Cybern., October, 2023

Presumably correct decision sets.
Pattern Recognit., September, 2023

Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model.
CoRR, 2023

Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps.
Proceedings of the Intelligent Systems and Applications, 2023

Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring.
Proceedings of the Process Mining Workshops, 2023

Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

Presumably Correct Undersampling.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022
Fuzzy-Rough Cognitive Networks: Theoretical Analysis and Simpler Models.
IEEE Trans. Cybern., 2022

Long short-term cognitive networks.
Neural Comput. Appl., 2022

Modeling implicit bias with fuzzy cognitive maps.
Neurocomputing, 2022

Which is the best model for my data?
CoRR, 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
Forward Composition Propagation for Explainable Neural Reasoning.
CoRR, 2021

2020
Recommender system using Long-term Cognitive Networks.
Knowl. Based Syst., 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
Fuzzy-Rough Cognitive Networks.
Neural Networks, 2018

FCM Expert: Software Tool for Scenario Analysis and Pattern Classification Based on Fuzzy Cognitive Maps.
Int. J. Artif. Intell. Tools, 2018

2017
Fuzzy Cognitive Maps Tool for Scenario Analysis and Pattern Classification.
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
A Granular Intrusion Detection System Using Rough Cognitive Networks.
Proceedings of the Recent Advances in Computational Intelligence in Defense and Security, 2016

Rough Cognitive Networks.
Knowl. Based Syst., 2016

Genomic Variant Classifier Tool.
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

2015
A computational tool for simulation and learning of Fuzzy Cognitive Maps.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers.
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

Bidirectional Recurrent Neural Networks for Biological Sequences Prediction.
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
Constricted Particle Swarm Optimization based Algorithm for Global Optimization.
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

Fuzzy Cognitive Maps for Modelling, Predicting and Interpreting HIV Drug Resistance.
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


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