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Isel Grau
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2020 – today
- 2024
- [j17]Isel Grau
, Gonzalo Nápoles
Forward Composition Propagation for Explainable Neural Reasoning. IEEE Comput. Intell. Mag. 19(1): 26-35 (2024) - [j16]Gonzalo Nápoles
Backpropagation through time learning for recurrence-aware long-term cognitive networks. Knowl. Based Syst. 295: 111825 (2024) - [j15]Gonzalo Nápoles
A revised cognitive mapping methodology for modeling and simulation. Knowl. Based Syst. 299: 112089 (2024) - [c22]Gonzalo Nápoles, Isel Grau
Long Short-term Cognitive Networks: An Empirical Performance Study. EAIS 2024: 1-8 - [c21]Isel Grau
Sparseness-Optimized Feature Importance. xAI (2) 2024: 393-415 - 2023
- [j14]Gonzalo Nápoles
Presumably correct decision sets. Pattern Recognit. 141: 109640 (2023) - [j13]Gonzalo Nápoles
Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification. IEEE Trans. Cybern. 53(10): 6083-6094 (2023) - [c20]Gonzalo Nápoles
Presumably Correct Undersampling. CIARP 2023: 420-433 - [c19]Mohsen Abbaspour Onari
Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey. CIBCB 2023: 1-8 - [c18]Mozhgan Vazifehdoostirani
Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring. ICPM Workshops 2023: 191-203 - [c17]Isel Grau, Gonzalo Nápoles, Fabian Hoitsma, Lisa Koutsoviti Koumeri, Koen Vanhoof:
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps. IntelliSys (1) 2023: 745-764 - [i8]Isel Grau
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps. CoRR abs/2305.09399 (2023) - [i7]Mohsen Abbaspour Onari
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model. CoRR abs/2307.11765 (2023) - 2022
- [j12]Gonzalo Nápoles
Modeling implicit bias with fuzzy cognitive maps. Neurocomputing 481: 33-45 (2022) - [j11]Gonzalo Nápoles
Long short-term cognitive networks. Neural Comput. Appl. 34(19): 16959-16971 (2022) - [j10]Leonardo Concepción
Fuzzy-Rough Cognitive Networks: Theoretical Analysis and Simpler Models. IEEE Trans. Cybern. 52(5): 2994-3005 (2022) - [c16]Mohsen Abbaspour Onari
Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19. CIBCB 2022: 1-8 - [i6]Gonzalo Nápoles, Isel Grau
Which is the best model for my data? CoRR abs/2210.14687 (2022) - 2021
- [i5]Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro:
Long Short-term Cognitive Networks. CoRR abs/2106.16233 (2021) - [i4]Gonzalo Nápoles, Yamisleydi Salgueiro, Isel Grau, Maikel León Espinosa:
Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification. CoRR abs/2107.03423 (2021) - [i3]Gonzalo Nápoles, Isel Grau
Modeling Implicit Bias with Fuzzy Cognitive Maps. CoRR abs/2112.12713 (2021) - [i2]Isel Grau
Forward Composition Propagation for Explainable Neural Reasoning. CoRR abs/2112.12717 (2021) - 2020
- [j9]Gonzalo Nápoles
Recommender system using Long-term Cognitive Networks. Knowl. Based Syst. 206: 106372 (2020) - [c15]Isel Grau
An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling. FUZZ-IEEE 2020: 1-8 - [i1]Isel Grau, Dipankar Sengupta, María Matilde García Lorenzo, Ann Nowé:
An interpretable semi-supervised classifier using two different strategies for amended self-labeling. CoRR abs/2001.09502 (2020)
2010 – 2019
- 2018
- [j8]Gonzalo Nápoles
FCM Expert: Software Tool for Scenario Analysis and Pattern Classification Based on Fuzzy Cognitive Maps. Int. J. Artif. Intell. Tools 27(7): 1860010:1-1860010:25 (2018) - [j7]Gonzalo Nápoles
Fuzzy-Rough Cognitive Networks. Neural Networks 97: 19-27 (2018) - 2017
- [c14]Gonzalo Nápoles
Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and Challenges. Soft Computing Based Optimization and Decision Models 2017: 83-98 - [c13]Gonzalo Nápoles
Fuzzy Cognitive Maps Tool for Scenario Analysis and Pattern Classification. ICTAI 2017: 644-651 - 2016
- [j6]Gonzalo Nápoles
Rough Cognitive Networks. Knowl. Based Syst. 91: 46-61 (2016) - [c12]Isel Grau
Genomic Variant Classifier Tool. IntelliSys (1) 2016: 453-456 - [p1]Gonzalo Nápoles
A Granular Intrusion Detection System Using Rough Cognitive Networks. Recent Advances in Computational Intelligence in Defense and Security 2016: 169-191 - 2015
- [c11]Mihail Mihaylov, Sergio Jurado, Narcís Avellana, Iván S. Razo-Zapata, Kristof Van Moffaert, Leticia Arco, Maite Bezunartea, Isel Grau, Adrian Cañadas, Ann Nowé:
SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers. AAMAS 2015: 1917-1918 - [c10]Gonzalo Nápoles
A computational tool for simulation and learning of Fuzzy Cognitive Maps. FUZZ-IEEE 2015: 1-8 - 2014
- [j5]Isel Grau García, Gonzalo Nápoles Ruiz:
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 18(1) (2014) - [j4]Gonzalo Nápoles Ruiz, Isel Grau García, Marilyn Bello-García, Rafael Bello Pérez:
Hacia la diversidad de la bandada: procedimiento RSVN usando una distribución de Lévy. Computación y Sistemas 18(1) (2014) - [j3]Gonzalo Nápoles
Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance. Expert Syst. Appl. 41(3): 821-830 (2014) - [c9]Gonzalo Nápoles
Determining Positions Associated with Drug Resistance on HIV-1 Proteins: A Computational Approach. EvoApplications 2014: 902-914 - [c8]Gonzalo Nápoles
Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making. RSEISP 2014: 169-178 - 2013
- [j2]Isel Grau, Gonzalo Nápoles, Isis Bonet, María M. García:
Algoritmo de retropropagación a través de tiempo para el aprendizaje de redes neuronales recurrentes usando instancias de longitud variable. Computación y Sistemas 17(1) (2013) - [c7]Isel Grau
Predicting HIV-1 Protease and Reverse Transcriptase Drug Resistance Using Fuzzy Cognitive Maps. CIARP (2) 2013: 190-197 - [c6]Gonzalo Nápoles
Self-adaptive differential particle swarm using a ring topology for multimodal optimization. ISDA 2013: 35-40 - [c5]Isis Bonet
Bidirectional Recurrent Neural Networks for Biological Sequences Prediction. MICAI (2) 2013: 139-149 - 2012
- [j1]Gonzalo Nápoles, Isel Grau
Constricted Particle Swarm Optimization based Algorithm for Global Optimization. Polibits 46: 5-11 (2012) - [c4]Gonzalo Nápoles
Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems. ANTS 2012: 352-353 - [c3]Isel Grau
Fuzzy Cognitive Maps for Modelling, Predicting and Interpreting HIV Drug Resistance. IBERAMIA 2012: 31-40 - [c2]Libia I. García, Isel Grau, Ricardo Grau:
Predicting the Efficiency with Knowledge Discovery of a Budgeted Company: A Cuban University - Validation through Three Semesters. KDIR 2012: 315-318 - [c1]Gonzalo Nápoles
Modelling, Aggregation and Simulation of a Dynamic Biological System through Fuzzy Cognitive Maps. MICAI (2) 2012: 188-199
Coauthor Index
aka: Rafael Bello Pérez
aka: Gonzalo Nápoles Ruiz
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last updated on 2024-10-25 21:14 CEST by the dblp team
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