Isel Grau

60 papers A 1B 4C 4Journal 33Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human Understanding.
CoRR
Gregor Baer, Chao Zhang, Isel Grau, Pieter Van Gorp
2026 J jnl
Sparseness-Optimized Feature Importance for Time Series Classification.
IEEE Access
Isel Grau, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2026 J jnl
Sparseness-optimized feature importance with prior knowledge and reinforcement learning-powered optimization.
Neurocomputing
Gonzalo Nápoles, Isel Grau, Yamisleydi Salgueiro
2025 J jnl
A Review on Fuzzy Cognitive Mapping: Recent Advances and Algorithms.
Big Data Cogn. Comput.
Gonzalo Nápoles, Agnieszka Jastrzebska, Isel Grau, Yamisleydi Salgueiro, Maikel León
2025 — conf
Assessing and Quantifying Perceived Trust in Interpretable Clinical Decision Support.
xAI (3)
Mohsen Abbaspour Onari, Isel Grau, Chao Zhang, Marco S. Nobile, Yingqian Zhang
2025 — conf
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions.
xAI (4)
Gregor Baer, Isel Grau, Chao Zhang, Pieter Van Gorp
2025 J jnl
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions.
CoRR
Gregor Baer, Isel Grau, Chao Zhang, Pieter Van Gorp
2025 J jnl
Estimating the limit state space of quasi-nonlinear Fuzzy Cognitive Maps.
Appl. Soft Comput.
Leonardo Concepción, Gonzalo Nápoles, Agnieszka Jastrzebska, Isel Grau, Yamisleydi Salgueiro
2025 — conf
Explainable Optimization: Leveraging Large Language Models for User-Friendly Explanations.
xAI (3)
Bram Biemans, Pavel Troubil, Isel Grau, Wim P. M. Nuijten
2025 J jnl
Learning of Fuzzy Cognitive Map models without training data.
Neurocomputing
Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Yamisleydi Salgueiro, Koen Vanhoof
2025 J jnl
Learning-based aggregation of Quasi-Nonlinear Fuzzy Cognitive Maps.
Neurocomputing
Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2025 J jnl
Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust.
CoRR
Mohsen Abbaspour Onari, Lucie Charlotte Magister, Yaoxin Wu, Amalia Lupi, Dario Creazzo, Mattia Tordin, Luigi Di Donatantonio, Emilio Quaia, Chao Zhang, Isel Grau, Marco S. Nobile, Yingqian Zhang, Pietro Liò
2025 — conf
The Dynamics of Trust in XAI: Assessing Perceived and Demonstrated Trust Across Interaction Modes and Risk Treatments.
xAI (1)
Mohsen Abbaspour Onari, Gregor Baer, Chao Zhang, Isel Grau, Marco S. Nobile, Yingqian Zhang
2025 J jnl
Why Do Class-Dependent Evaluation Effects Occur with Time Series Feature Attributions? A Synthetic Data Investigation.
CoRR
Gregor Baer, Isel Grau, Chao Zhang, Pieter Van Gorp
2024 J jnl
A revised cognitive mapping methodology for modeling and simulation.
Knowl. Based Syst.
Gonzalo Nápoles, Isel Grau, Yamisleydi Salgueiro
2024 J jnl
Backpropagation through time learning for recurrence-aware long-term cognitive networks.
Knowl. Based Syst.
Gonzalo Nápoles, Agnieszka Jastrzebska, Isel Grau, Yamisleydi Salgueiro
2024 J jnl
Forward Composition Propagation for Explainable Neural Reasoning.
IEEE Comput. Intell. Mag.
Isel Grau, Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro, Agnieszka Jastrzebska
2024 — conf
Long Short-term Cognitive Networks: An Empirical Performance Study.
EAIS
Gonzalo Nápoles, Isel Grau
2024 — conf
Sparseness-Optimized Feature Importance.
xAI (2)
Isel Grau, Gonzalo Nápoles
2023 — conf
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps.
IntelliSys (1)
Isel Grau, Gonzalo Nápoles, Fabian Hoitsma, Lisa Koutsoviti Koumeri, Koen Vanhoof
2023 J jnl
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps.
CoRR
Isel Grau, Gonzalo Nápoles, Fabian Hoitsma, Lisa Koutsoviti Koumeri, Koen Vanhoof
2023 J jnl
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model.
CoRR
Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile, Yingqian Zhang
2023 C conf
Presumably Correct Undersampling.
CIARP
Gonzalo Nápoles, Isel Grau
2023 J jnl
Presumably correct decision sets.
Pattern Recognit.
Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2023 J jnl
Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification.
IEEE Trans. Cybern.
Gonzalo Nápoles, Yamisleydi Salgueiro, Isel Grau, Maikel León Espinosa
2023 C conf
Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey.
CIBCB
Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile, Yingqian Zhang
2023 — conf
Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring.
ICPM Workshops
Mozhgan Vazifehdoostirani, Mohsen Abbaspour Onari, Isel Grau, Laura Genga, Remco M. Dijkman
2022 C conf
Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19.
CIBCB
Mohsen Abbaspour Onari, Marco S. Nobile, Isel Grau, Caro Fuchs, Yingqian Zhang, Arjen-Kars Boer, Volkher Scharnhorst
2022 J jnl
Fuzzy-Rough Cognitive Networks: Theoretical Analysis and Simpler Models.
IEEE Trans. Cybern.
Leonardo Concepción, Gonzalo Nápoles, Isel Grau, Witold Pedrycz
2022 J jnl
Long short-term cognitive networks.
Neural Comput. Appl.
Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2022 J jnl
Modeling implicit bias with fuzzy cognitive maps.
Neurocomputing
Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa
2022 J jnl
Which is the best model for my data?
CoRR
Gonzalo Nápoles, Isel Grau, Çiçek Güven, Orçun Özdemir, Yamisleydi Salgueiro
2021 J jnl
Forward Composition Propagation for Explainable Neural Reasoning.
CoRR
Isel Grau, Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro
2021 J jnl
Long Short-term Cognitive Networks.
CoRR
Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2021 J jnl
Modeling Implicit Bias with Fuzzy Cognitive Maps.
CoRR
Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa
2021 J jnl
Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification.
CoRR
Gonzalo Nápoles, Yamisleydi Salgueiro, Isel Grau, Maikel León Espinosa
2020 B conf
An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling.
FUZZ-IEEE
Isel Grau, Dipankar Sengupta, María Matilde García Lorenzo, Ann Nowé
2020 J jnl
An interpretable semi-supervised classifier using two different strategies for amended self-labeling.
CoRR
Isel Grau, Dipankar Sengupta, María Matilde García Lorenzo, Ann Nowé
2020 J jnl
Recommender system using Long-term Cognitive Networks.
Knowl. Based Syst.
Gonzalo Nápoles, Isel Grau, Yamisleydi Salgueiro
2018 J jnl
FCM Expert: Software Tool for Scenario Analysis and Pattern Classification Based on Fuzzy Cognitive Maps.
Int. J. Artif. Intell. Tools
Gonzalo Nápoles, Maikel León Espinosa, Isel Grau, Koen Vanhoof
2018 J jnl
Fuzzy-Rough Cognitive Networks.
Neural Networks
Gonzalo Nápoles, Carlos Mosquera, Rafael Falcon, Isel Grau, Rafael Bello, Koen Vanhoof
2017 — conf
Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and Challenges.
Soft Computing Based Optimization and Decision Models
Gonzalo Nápoles, Maikel León Espinosa, Isel Grau, Koen Vanhoof, Rafael Bello
2017 B conf
Fuzzy Cognitive Maps Tool for Scenario Analysis and Pattern Classification.
ICTAI
Gonzalo Nápoles, Maikel León, Isel Grau, Koen Vanhoof
2016 — ch.
A Granular Intrusion Detection System Using Rough Cognitive Networks.
Recent Advances in Computational Intelligence in Defense and Security
Gonzalo Nápoles, Isel Grau, Rafael Falcon, Rafael Bello, Koen Vanhoof
2016 — conf
Genomic Variant Classifier Tool.
IntelliSys (1)
Isel Grau, Dipankar Sengupta, Dewan Md. Farid, Bernard Manderick, Ann Nowé, María Matilde García Lorenzo, Dorien Daneels, Maryse Bonduelle, Didier Croes, Sonia Van Dooren
2016 J jnl
Rough Cognitive Networks.
Knowl. Based Syst.
Gonzalo Nápoles, Isel Grau, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof
2015 B conf
A computational tool for simulation and learning of Fuzzy Cognitive Maps.
FUZZ-IEEE
Gonzalo Nápoles, Isel Grau, Rafael Bello, Maikel León, Koen Vanhoof, Elpiniki Papageorgiou
2015 A conf
SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers.
AAMAS
Mihail Mihaylov, Sergio Jurado, Narcís Avellana, Iván S. Razo-Zapata, Kristof Van Moffaert, Leticia Arco, Maite Bezunartea, Isel Grau, Adrian Cañadas, Ann Nowé
2014 B conf
Determining Positions Associated with Drug Resistance on HIV-1 Proteins: A Computational Approach.
EvoApplications
Gonzalo Nápoles, Isel Grau, Ricardo Pérez-García, Rafael Bello
2014 — conf
Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making.
RSEISP
Gonzalo Nápoles, Isel Grau, Koen Vanhoof, Rafael Bello
2014 J jnl
Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance.
Expert Syst. Appl.
Gonzalo Nápoles, Isel Grau, Rafael Bello, Ricardo Grau
2013 J jnl
Algoritmo de retropropagación a través de tiempo para el aprendizaje de redes neuronales recurrentes usando instancias de longitud variable.
Computación y Sistemas
Isel Grau, Gonzalo Nápoles, Isis Bonet, María M. García
2013 — conf
Bidirectional Recurrent Neural Networks for Biological Sequences Prediction.
MICAI (2)
Isis Bonet, Abdel Rodríguez, Isel Grau
2013 — conf
Predicting HIV-1 Protease and Reverse Transcriptase Drug Resistance Using Fuzzy Cognitive Maps.
CIARP (2)
Isel Grau, Gonzalo Nápoles, María M. García
2013 C conf
Self-adaptive differential particle swarm using a ring topology for multimodal optimization.
ISDA
Gonzalo Nápoles, Isel Grau, Rafael Bello, Rafael Falcon, Ajith Abraham
2012 J jnl
Constricted Particle Swarm Optimization based Algorithm for Global Optimization.
Polibits
Gonzalo Nápoles, Isel Grau, Rafael Bello
2012 — conf
Fuzzy Cognitive Maps for Modelling, Predicting and Interpreting HIV Drug Resistance.
IBERAMIA
Isel Grau, Gonzalo Nápoles, Maikel León, Ricardo Grau
2012 — conf
Modelling, Aggregation and Simulation of a Dynamic Biological System through Fuzzy Cognitive Maps.
MICAI (2)
Gonzalo Nápoles, Isel Grau, Maikel León, Ricardo Grau
2012 — conf
Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems.
ANTS
Gonzalo Nápoles, Isel Grau, Rafael Bello
2012 — conf
Predicting the Efficiency with Knowledge Discovery of a Budgeted Company: A Cuban University - Validation through Three Semesters.
KDIR
Libia I. García, Isel Grau, Ricardo Grau