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Gonzalo Nápoles Ruiz
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2020 – today
- 2024
[j52]Isel Grau
, Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro, Agnieszka Jastrzebska:
Forward Composition Propagation for Explainable Neural Reasoning. IEEE Comput. Intell. Mag. 19(1): 26-35 (2024)- [j51]Marilyn Bello, Pablo Costa, Gonzalo Nápoles, Pablo Mesejo, Oscar Cordón:
ExplainLFS: Explaining neural architectures for similarity learning from local perturbations in the latent feature space. Inf. Fusion 108: 102407 (2024) - [j50]Marilyn Bello, Gonzalo Nápoles, Leonardo Concepción, Rafael Bello, Pablo Mesejo, Oscar Cordón:
REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image. Inf. Sci. 654: 119851 (2024) - [j49]Gonzalo Nápoles, Agnieszka Jastrzebska, Isel Grau, Yamisleydi Salgueiro:
Backpropagation through time learning for recurrence-aware long-term cognitive networks. Knowl. Based Syst. 295: 111825 (2024) - [j48]Gonzalo Nápoles, Isel Grau, Yamisleydi Salgueiro:
A revised cognitive mapping methodology for modeling and simulation. Knowl. Based Syst. 299: 112089 (2024) - [c54]Gonzalo Nápoles, Isel Grau:
Long Short-term Cognitive Networks: An Empirical Performance Study. EAIS 2024: 1-8 - [c53]Isel Grau, Gonzalo Nápoles:
Sparseness-Optimized Feature Importance. xAI (2) 2024: 393-415 - 2023
- [j47]Gonzalo Nápoles, Fabian Hoitsma, Andreas Knoben, Agnieszka Jastrzebska, Maikel León Espinosa:
Prolog-based agnostic explanation module for structured pattern classification. Inf. Sci. 622: 1196-1227 (2023) - [j46]Hazal Colak Oz, Çiçek Güven, Gonzalo Nápoles:
School dropout prediction and feature importance exploration in Malawi using household panel data: machine learning approach. J. Comput. Soc. Sci. 6(1): 245-287 (2023) - [j45]Gonzalo Nápoles, Nevena Rankovic, Yamisleydi Salgueiro:
On the interpretability of Fuzzy Cognitive Maps. Knowl. Based Syst. 281: 111078 (2023) - [j44]Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro:
Presumably correct decision sets. Pattern Recognit. 141: 109640 (2023) - [j43]Agnieszka Jastrzebska, Gonzalo Nápoles, Wladyslaw Homenda, Koen Vanhoof:
Fuzzy Cognitive Map-Driven Comprehensive Time-Series Classification. IEEE Trans. Cybern. 53(2): 1348-1359 (2023) - [j42]Gonzalo Nápoles, Yamisleydi Salgueiro, Isel Grau, Maikel León Espinosa:
Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification. IEEE Trans. Cybern. 53(10): 6083-6094 (2023) - [c52]Gonzalo Nápoles, Niels Griffioen, Samaneh Khoshrou, Çiçek Güven:
Feature Importance for Clustering. CIARP 2023: 31-45 - [c51]Gonzalo Nápoles, Isel Grau:
Presumably Correct Undersampling. CIARP 2023: 420-433 - [c50]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 - [c49]Gonzalo Nápoles, Leonardo Concepción, Büsra Özgöde Yigin, Görkem Saygili, Koen Vanhoof, Rafael Bello:
Weighted t-Distributed Stochastic Neighbor Embedding for Projection-Based Clustering. IWAIPR 2023: 131-142 - [i13]Isel Grau, Gonzalo Nápoles, Fabian Hoitsma, Lisa Koutsoviti Koumeri, Koen Vanhoof:
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps. CoRR abs/2305.09399 (2023) - 2022
- [j41]Julio Pena, Gonzalo Nápoles, Yamisleydi Salgueiro:
Normalization method for quantitative and qualitative attributes in multiple attribute decision-making problems. Expert Syst. Appl. 198: 116821 (2022) - [j40]Alejandro Morales Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro, Koen Vanhoof:
Online learning of windmill time series using Long Short-term Cognitive Networks. Expert Syst. Appl. 205: 117721 (2022) - [j39]Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa:
Modeling implicit bias with fuzzy cognitive maps. Neurocomputing 481: 33-45 (2022) - [j38]Agnieszka Jastrzebska, Gonzalo Nápoles, Yamisleydi Salgueiro, Koen Vanhoof:
Evaluating time series similarity using concept-based models. Knowl. Based Syst. 238: 107811 (2022) - [j37]Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro:
Long short-term cognitive networks. Neural Comput. Appl. 34(19): 16959-16971 (2022) - [j36]Samvel Mkhitaryan, Philippe J. Giabbanelli, Maciej K. Wozniak, Gonzalo Nápoles, Nanne K. de Vries, Rik Crutzen:
FCMpy: a python module for constructing and analyzing fuzzy cognitive maps. PeerJ Comput. Sci. 8: e1078 (2022) - [j35]Gonzalo Nápoles, Lisa Koutsoviti Koumeri:
A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets. Pattern Recognit. Lett. 154: 29-36 (2022) - [j34]Leonardo Concepción, Gonzalo Nápoles, Isel Grau, Witold Pedrycz:
Fuzzy-Rough Cognitive Networks: Theoretical Analysis and Simpler Models. IEEE Trans. Cybern. 52(5): 2994-3005 (2022) - [c48]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, María M. García, Rafael Bello:
Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation. IJCNN 2022: 1-10 - [c47]Mabel Frias, Gonzalo Nápoles, Yaima Filiberto, Rafael Bello, Koen Vanhoof:
Skipped Nonsynaptic Backpropagation for Interval-valued Long-term Cognitive Networks. MICAI (1) 2022: 3-14 - [c46]Alejandro Morales Hernández, Inneke Van Nieuwenhuyse, Gonzalo Nápoles:
Multi-objective Hyperparameter Optimization with Performance Uncertainty. OLA 2022: 37-46 - [i12]Alejandro Morales Hernández, Inneke Van Nieuwenhuyse, Gonzalo Nápoles:
Multi-objective hyperparameter optimization with performance uncertainty. CoRR abs/2209.04340 (2022) - [i11]Gonzalo Nápoles, Isel Grau, Çiçek Güven, Orçun Özdemir, Yamisleydi Salgueiro:
Which is the best model for my data? CoRR abs/2210.14687 (2022) - 2021
- [j33]Julio Pena, Gonzalo Nápoles, Yamisleydi Salgueiro:
Implicit and hybrid methods for attribute weighting in multi-attribute decision-making: a review study. Artif. Intell. Rev. 54(5): 3817-3847 (2021) - [j32]Leticia Arco, Gonzalo Nápoles, Frank Vanhoenshoven, Ana Laura Lara, Gladys Casas, Koen Vanhoof:
Natural language techniques supporting decision modelers. Data Min. Knowl. Discov. 35(1): 290-320 (2021) - [j31]Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro:
Pattern classification with Evolving Long-term Cognitive Networks. Inf. Sci. 548: 461-478 (2021) - [j30]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello:
Data quality measures based on granular computing for multi-label classification. Inf. Sci. 560: 51-67 (2021) - [j29]Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro:
Long-term Cognitive Network-based architecture for multi-label classification. Neural Networks 140: 39-48 (2021) - [j28]Gonzalo Nápoles, Jose L. Salmeron, Koen Vanhoof:
Construction and Supervised Learning of Long-Term Grey Cognitive Networks. IEEE Trans. Cybern. 51(2): 686-695 (2021) - [j27]Leonardo Concepción, Gonzalo Nápoles, Rafael Falcon, Koen Vanhoof, Rafael Bello:
Unveiling the Dynamic Behavior of Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 29(5): 1252-1261 (2021) - [c45]Lisa Koutsoviti Koumeri, Gonzalo Nápoles:
Bias Quantification for Protected Features in Pattern Classification Problems. CIARP 2021: 351-360 - [c44]Mabel Frias Dominguez, Gonzalo Nápoles, Koen Vanhoof, Yaima Filiberto, Rafael Bello:
Nonsynaptic Backpropagation Learning of Interval-valued Long-term Cognitive Networks. IJCNN 2021: 1-9 - [c43]Ivett Fuentes, Gonzalo Nápoles, Leticia Arco, Koen Vanhoof:
Best Next Preference Prediction Based on LSTM and Multi-level Interactions. IntelliSys (1) 2021: 682-699 - [c42]Marilyn Bello, Yaumara Aguilera, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof:
Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections. IWAIPR 2021: 3-12 - [i10]Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro:
Long Short-term Cognitive Networks. CoRR abs/2106.16233 (2021) - [i9]Alejandro Morales Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro, Koen Vanhoof:
Online learning of windmill time series using Long Short-term Cognitive Networks. CoRR abs/2107.00425 (2021) - [i8]Gonzalo Nápoles, Yamisleydi Salgueiro, Isel Grau, Maikel León Espinosa:
Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification. CoRR abs/2107.03423 (2021) - [i7]Gonzalo Nápoles, Lisa Koutsoviti Koumeri:
A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets. CoRR abs/2108.09098 (2021) - [i6]Samvel Mkhitaryan, Philippe J. Giabbanelli, Maciej K. Wozniak, Gonzalo Nápoles, Nanne K. de Vries, Rik Crutzen:
FCMpy: A Python Module for Constructing and Analyzing Fuzzy Cognitive Maps. CoRR abs/2111.12749 (2021) - [i5]Agnieszka Jastrzebska, Alejandro Morales Hernández, Gonzalo Nápoles, Yamisleydi Salgueiro, Koen Vanhoof:
Measuring Wind Turbine Health Using Drifting Concepts. CoRR abs/2112.04933 (2021) - [i4]Gonzalo Nápoles, Fabian Hoitsma, Andreas Knoben, Agnieszka Jastrzebska, Maikel León Espinosa:
Prolog-based agnostic explanation module for structured pattern classification. CoRR abs/2112.12641 (2021) - [i3]Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa:
Modeling Implicit Bias with Fuzzy Cognitive Maps. CoRR abs/2112.12713 (2021) - [i2]Isel Grau, Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro:
Forward Composition Propagation for Explainable Neural Reasoning. CoRR abs/2112.12717 (2021) - 2020
- [j26]Julio Pena, Gonzalo Nápoles, Yamisleydi Salgueiro:
Explicit methods for attribute weighting in multi-attribute decision-making: a review study. Artif. Intell. Rev. 53(5): 3127-3152 (2020) - [j25]Greg Van Houdt, Carlos Mosquera, Gonzalo Nápoles:
A review on the long short-term memory model. Artif. Intell. Rev. 53(8): 5929-5955 (2020) - [j24]Frank Vanhoenshoven, Gonzalo Nápoles, Wojciech Froelich, Jose L. Salmeron, Koen Vanhoof:
Pseudoinverse learning of Fuzzy Cognitive Maps for multivariate time series forecasting. Appl. Soft Comput. 95: 106461 (2020) - [j23]Marilyn Bello, Gonzalo Nápoles, Ricardo Sánchez, Rafael Bello, Koen Vanhoof:
Deep neural network to extract high-level features and labels in multi-label classification problems. Neurocomputing 413: 259-270 (2020) - [j22]Gonzalo Nápoles, Isel Grau, Yamisleydi Salgueiro:
Recommender system using Long-term Cognitive Networks. Knowl. Based Syst. 206: 106372 (2020) - [j21]Gonzalo Nápoles, Agnieszka Jastrzebska, Carlos Mosquera, Koen Vanhoof, Wladyslaw Homenda:
Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches. Neural Networks 124: 258-268 (2020) - [j20]Gonzalo Nápoles, Frank Vanhoenshoven, Rafael Falcon, Koen Vanhoof:
Nonsynaptic Error Backpropagation in Long-Term Cognitive Networks. IEEE Trans. Neural Networks Learn. Syst. 31(3): 865-875 (2020) - [c41]Ivett Fuentes, Gonzalo Nápoles, Leticia Arco, Koen Vanhoof:
Customer Interaction Networks Based on Multiple Instance Similarities. BIS 2020: 279-290 - [c40]Gonzalo Nápoles, Wouter Goossens, Quinten Moesen, Carlos Mosquera:
Fast k-Fuzzy-Rough Cognitive Networks. IJCNN 2020: 1-8 - [c39]Gonzalo Nápoles:
Evolving Recurrent Neural Networks for Pattern Classification. IntelliSys (1) 2020: 388-398 - [c38]Marilyn Bello, Gonzalo Nápoles, Rafael Morera, Koen Vanhoof, Rafael Bello:
Outliers Detection in Multi-label Datasets. MICAI (1) 2020: 65-75 - [c37]Marilyn Bello, Gonzalo Nápoles, Ricardo Sánchez, Koen Vanhoof, Rafael Bello:
Feature and Label Association Based on Granulation Entropy for Deep Neural Networks. IJCRS 2020: 225-235 - [c36]Ivett Fuentes, Arian Pina, Gonzalo Nápoles, Leticia Arco, Koen Vanhoof:
Rough Net Approach for Community Detection Analysis in Complex Networks. IJCRS 2020: 401-415 - [c35]Leonardo Concepción, Gonzalo Nápoles, Rafael Bello, Koen Vanhoof:
On the Behavior of Fuzzy Grey Cognitive Maps. IJCRS 2020: 462-476 - [c34]Fabian Hoitsma, Andreas Knoben, Maikel León Espinosa, Gonzalo Nápoles:
Symbolic Explanation Module for Fuzzy Cognitive Map-Based Reasoning Models. SGAI Conf. 2020: 21-34
2010 – 2019
- 2019
- [j19]Gerardo Felix, Gonzalo Nápoles, Rafael Falcon, Wojciech Froelich, Koen Vanhoof, Rafael Bello:
A review on methods and software for fuzzy cognitive maps. Artif. Intell. Rev. 52(3): 1707-1737 (2019) - [j18]Gonzalo Nápoles, Frank Vanhoenshoven, Koen Vanhoof:
Short-term cognitive networks, flexible reasoning and nonsynaptic learning. Neural Networks 115: 72-81 (2019) - [c33]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello:
Reduction Methods for Multi-Label Datasets Based on Granular Computing. BNAIC/BENELEARN 2019 - [c32]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello:
Prototypes Generation from Multi-label Datasets Based on Granular Computing. CIARP 2019: 142-151 - [c31]Marnick Vanloffelt, Gonzalo Nápoles, Koen Vanhoof:
Fuzzy-Rough Cognitive Networks: Building Blocks and Their Contribution to Performance. ICMLA 2019: 922-928 - [c30]Richar Sosa, Alejandro Alfonso, Gonzalo Nápoles, Rafael Bello, Koen Vanhoof, Ann Nowé:
Synaptic Learning of Long-Term Cognitive Networks with Inputs. IJCNN 2019: 1-8 - [c29]Gonzalo Nápoles, Jose L. Salmeron, Wojciech Froelich, Rafael Falcon, Maikel León Espinosa, Frank Vanhoenshoven, Rafael Bello, Koen Vanhoof:
Fuzzy Cognitive Modeling: Theoretical and Practical Considerations. KES-IDT (1) 2019: 77-87 - [c28]Gonzalo Nápoles, Greg Van Houdt, Manal Laghmouch, Wouter Goossens, Quinten Moesen, Benoît Depaire:
Fuzzy Cognitive Maps: A Business Intelligence Discussion. KES-IDT (1) 2019: 89-98 - [c27]Yamisleydi Salgueiro, Marco Rivera, Gonzalo Nápoles:
Multi-agent-Based Decision Support Systems in Smart Microgrids. KES-IDT (1) 2019: 123-132 - [c26]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello:
Methods to Edit Multi-label Training Sets Using Rough Sets Theory. IJCRS 2019: 369-380 - [c25]Mabel Frias Dominguez, Gonzalo Nápoles, Yaima Filiberto, Rafael Bello, Koen Vanhoof:
A Preliminary Study on Symbolic Fuzzy Cognitive Maps for Pattern Classification. WEA 2019: 285-295 - 2018
- [j17]Gonzalo Nápoles, Maikel León Espinosa, Isel Grau, Koen Vanhoof:
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) - [j16]Gonzalo Nápoles, Carlos Mosquera, Rafael Falcon, Isel Grau, Rafael Bello, Koen Vanhoof:
Fuzzy-Rough Cognitive Networks. Neural Networks 97: 19-27 (2018) - [j15]Gonzalo Nápoles, Leonardo Concepción, Rafael Falcon, Rafael Bello, Koen Vanhoof:
On the Accuracy-Convergence Tradeoff in Sigmoid Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 26(4): 2479-2484 (2018) - [c24]Gerardo Felix, Gonzalo Nápoles, Rafael Falcon, Rafael Bello, Koen Vanhoof:
Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results. CIVEMSA 2018: 1-6 - [c23]Ivett Fuentes, Gonzalo Nápoles, Leticia Arco, Koen Vanhoof:
Customer Segmentation Using Multiple Instance Clustering and Purchasing Behaviors. IWAIPR 2018: 193-200 - [c22]Gabriela Pérez, Marilyn Bello-García, Gonzalo Nápoles, María Matilde García Lorenzo, Rafael Bello, Koen Vanhoof:
Expanding MLkNN Using Extended Rough Set Theory. IWAIPR 2018: 247-254 - [i1]Gonzalo Nápoles, Frank Vanhoenshoven, Koen Vanhoof:
Short-term Cognitive Networks, Flexible Reasoning and Nonsynaptic Learning. CoRR abs/1809.08085 (2018) - 2017
- [j14]Gonzalo Nápoles, Rafael Falcon, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Rough cognitive ensembles. Int. J. Approx. Reason. 85: 79-96 (2017) - [j13]Gonzalo Nápoles, Rafael Falcon, Zoumpoulia Dikopoulou, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Weighted aggregation of partial rankings using Ant Colony Optimization. Neurocomputing 250: 109-120 (2017) - [j12]Gonzalo Nápoles, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Learning and Convergence of Fuzzy Cognitive Maps Used in Pattern Recognition. Neural Process. Lett. 45(2): 431-444 (2017) - [c21]Gonzalo Nápoles, Maikel León Espinosa, Isel Grau, Koen Vanhoof, Rafael Bello:
Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and Challenges. Soft Computing Based Optimization and Decision Models 2017: 83-98 - [c20]Gonzalo Nápoles, Maikel León, Isel Grau, Koen Vanhoof:
Fuzzy Cognitive Maps Tool for Scenario Analysis and Pattern Classification. ICTAI 2017: 644-651 - [c19]Ahmad Zyad Alghzawi, Gonzalo Nápoles, George Sammour, Koen Vanhoof:
Forecasting Social Security Revenues in Jordan Using Fuzzy Cognitive Maps. KES-IDT (1) 2017: 246-254 - [c18]Frank Vanhoenshoven, Gonzalo Nápoles, Samantha Bielen, Koen Vanhoof:
Fuzzy Cognitive Maps Employing ARIMA Components for Time Series Forecasting. KES-IDT (1) 2017: 255-264 - [c17]Mabel Frias Dominguez, Yaima Filiberto, Gonzalo Nápoles, Yadira García-Socarrás, Koen Vanhoof, Rafael Bello:
Fuzzy Cognitive Maps Reasoning with Words Based on Triangular Fuzzy Numbers. MICAI (1) 2017: 197-207 - 2016
- [j11]Gonzalo Nápoles, Zoumpoulia Dikopoulou, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Prototypes construction from partial rankings to characterize the attractiveness of companies in Belgium. Appl. Soft Comput. 42: 276-289 (2016) - [j10]Gonzalo Nápoles, Elpiniki I. Papageorgiou, Rafael Bello, Koen Vanhoof:
On the convergence of sigmoid Fuzzy Cognitive Maps. Inf. Sci. 349-350: 154-171 (2016) - [j9]Gonzalo Nápoles, Isel Grau, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Rough Cognitive Networks. Knowl. Based Syst. 91: 46-61 (2016) - [c16]Maikel León Espinosa, Gonzalo Nápoles Ruiz:
Modeling and Experimentation Framework for Fuzzy Cognitive Maps. AAAI 2016: 4361-4362 - [c15]Gonzalo Nápoles, Rafael Falcon, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Partitive granular Cognitive Maps to graded multilabel classification. FUZZ-IEEE 2016: 1363-1370 - [c14]Frank Vanhoenshoven, Gonzalo Nápoles, Mathijs Creemers, Maikel León Espinosa, Koen Vanhoof:
Analyzing the impact of the adaptive clearing mechanism on algorithm accuracy in Variable Mesh Optimization. SSCI 2016: 1-8 - [c13]Frank Vanhoenshoven, Gonzalo Nápoles, Rafael Falcon, Koen Vanhoof, Mario Köppen:
Detecting malicious URLs using machine learning techniques. SSCI 2016: 1-8 - [p1]Gonzalo Nápoles, Isel Grau, Rafael Falcon, Rafael Bello, Koen Vanhoof:
A Granular Intrusion Detection System Using Rough Cognitive Networks. Recent Advances in Computational Intelligence in Defense and Security 2016: 169-191 - 2015
- [c12]Gonzalo Nápoles, Isel Grau, Rafael Bello, Maikel León, Koen Vanhoof, Elpiniki Papageorgiou:
A computational tool for simulation and learning of Fuzzy Cognitive Maps. FUZZ-IEEE 2015: 1-8 - [c11]Gonzalo Nápoles, Zoumpoulia Dikopoulou, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Aggregation of Partial Rankings - An Approach Based on the Kemeny Ranking Problem. IWANN (2) 2015: 343-355 - 2014
- [j8]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) - [j7]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) - [j6]Gonzalo Nápoles, Isel Grau, Rafael Bello, Ricardo Grau:
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) - [j5]Gonzalo Nápoles, Rafael Bello, Koen Vanhoof:
How to improve the convergence on sigmoid Fuzzy Cognitive Maps? Intell. Data Anal. 18(Supplement): S77-S88 (2014) - [c10]Gonzalo Nápoles, Isel Grau, Ricardo Pérez-García, Rafael Bello:
Determining Positions Associated with Drug Resistance on HIV-1 Proteins: A Computational Approach. EvoApplications 2014: 902-914 - [c9]Gonzalo Nápoles, Isel Grau, Koen Vanhoof, Rafael Bello:
Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making. RSEISP 2014: 169-178 - 2013
- [j4]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) - [j3]Maikel León, Gonzalo Nápoles, Rafael Bello, Lusine Mkrtchyan, Benoît Depaire, Koen Vanhoof:
Tackling Travel Behaviour: An approach based on Fuzzy Cognitive Maps. Int. J. Comput. Intell. Syst. 6(6): 1012-1039 (2013) - [c8]Isel Grau, Gonzalo Nápoles, María M. García:
Predicting HIV-1 Protease and Reverse Transcriptase Drug Resistance Using Fuzzy Cognitive Maps. CIARP (2) 2013: 190-197 - [c7]Gonzalo Nápoles, Rafael Bello, Koen Vanhoof:
Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach. CIARP (1) 2013: 270-277 - [c6]Gonzalo Nápoles, Isel Grau, Rafael Bello, Rafael Falcon, Ajith Abraham:
Self-adaptive differential particle swarm using a ring topology for multimodal optimization. ISDA 2013: 35-40 - 2012
- [j2]Gonzalo Nápoles, Isel Grau, Rafael Bello:
Constricted Particle Swarm Optimization based Algorithm for Global Optimization. Polibits 46: 5-11 (2012) - [c5]Gonzalo Nápoles, Isel Grau, Rafael Bello:
Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems. ANTS 2012: 352-353 - [c4]Isel Grau, Gonzalo Nápoles, Maikel León, Ricardo Grau:
Fuzzy Cognitive Maps for Modelling, Predicting and Interpreting HIV Drug Resistance. IBERAMIA 2012: 31-40 - [c3]Gonzalo Nápoles, Isel Grau, Maikel León, Ricardo Grau:
Modelling, Aggregation and Simulation of a Dynamic Biological System through Fuzzy Cognitive Maps. MICAI (2) 2012: 188-199 - 2011
- [c2]Maikel León, Gonzalo Nápoles, Ciro Rodriguez, María M. García, Rafael Bello, Koen Vanhoof:
A Fuzzy Cognitive Maps Modeling, Learning and Simulation Framework for Studying Complex System. IWINAC (2) 2011: 243-256 - [c1]Maikel León, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof:
Two Steps Individuals Travel Behavior Modeling through Fuzzy Cognitive Maps Pre-definition and Learning. MICAI (2) 2011: 82-94 - 2010
- [j1]Maikel León, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof:
A Revision and Experience using Cognitive Mapping and Knowledge Engineering in Travel Behavior Sciences. Polibits 42: 43-49 (2010)
Coauthor Index
Rafael Bello 0001
aka: Rafael Bello Pérez
aka: Rafael Bello Pérez
Marilyn Bello-García
aka: Marilyn Bello
aka: Marilyn Bello
Isel Grau
aka: Isel Grau García
aka: Isel Grau García
Maikel León
aka: Maikel León Espinosa
aka: Maikel León Espinosa
Elpiniki I. Papageorgiou
aka: Elpiniki Papageorgiou
aka: Elpiniki Papageorgiou
[j43] [c50] [c49] [i13] [j40] [j38] [c48] [c47] [j32] [j30] [j28] [j27] [c44] [c43] [c42] [i9] [i5] [j24] [j23] [j21] [j20] [c41] [c38] [c37] [c36] [c35] [j19] [j18] [c33] [c32] [c31] [c30] [c29] [c26] [c25] [j17] [j16] [j15] [c24] [c23] [c22] [i1] [j14] [j13] [j12] [c21] [c20] [c19] [c18] [c17] [j11] [j10] [j9] [c15] [c14] [c13] [p1] [c12] [c11] [j5] [c9] [j3] [c7] [c2] [c1] [j1]
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last updated on 2024-10-25 21:17 CEST by the dblp team
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