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Isel Grau
Isel Grau
Assistant Professor at Eindhoven University of Technology
Verified email at tue.nl - Homepage
Title
Cited by
Cited by
Year
Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance
G Nápoles, I Grau, R Bello, R Grau
Expert Systems with Applications 41 (3), 821-830, 2014
992014
Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and Challenges
G Nápoles Ruiz, ML Espinosa, I Grau, K Vanhoof, R Bello
Springer International Publishing, 2017
66*2017
FCM expert: software tool for scenario analysis and pattern classification based on fuzzy cognitive maps
G Nápoles, ML Espinosa, I Grau, K Vanhoof
International Journal on Artificial Intelligence Tools 27 (07), 1860010, 2018
612018
Rough cognitive networks
G Nápoles, I Grau, E Papageorgiou, R Bello, K Vanhoof
Knowledge-Based Systems 91, 46-61, 2016
472016
Fuzzy-rough cognitive networks
G Nápoles, C Mosquera, R Falcon, I Grau, R Bello, K Vanhoof
Neural Networks 97, 19-27, 2018
442018
Constricted Particle Swarm Optimization based Algorithm for Global Optimization
G Nápoles, I Grau, R Bello
Polibits 46, 5-11, 2012
372012
SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers.
M Mihaylov, S Jurado, N Avellana, IS Razo-Zapata, K Van Moffaert, ...
AAMAS 15, 1917-1918, 2015
352015
Fuzzy cognitive maps tool for scenario analysis and pattern classification
G Nápoles, M Leon, I Grau, K Vanhoof
2017 IEEE 29th International Conference on Tools with Artificial …, 2017
262017
Modelling, aggregation and simulation of a dynamic biological system through Fuzzy Cognitive Maps
G Nápoles, I Grau, M León, R Grau
Advances in Computational Intelligence: 11th Mexican International …, 2013
222013
A granular intrusion detection system using rough cognitive networks
G Nápoles, I Grau, R Falcon, R Bello, K Vanhoof
Recent advances in computational intelligence in defense and security, 169-191, 2016
212016
Backpropagation through time algorithm for training recurrent neural networks using variable length instances
I Grau, G Nápoles, I Bonet, MM García
Computación y Sistemas 17 (1), 15-24, 2013
202013
Modeling implicit bias with fuzzy cognitive maps
G Nápoles, I Grau, L Concepción, LK Koumeri, JP Papa
Neurocomputing 481, 33-45, 2022
192022
Aplicación de sistemas neuroborrosos a problemas de resistencia antiviral del VIH
IG García, GN Ruiz, AP Mariño, CM Pérez
Revista Cubana de Ciencias Informáticas 6 (2), 1-11, 2012
192012
A computational tool for simulation and learning of Fuzzy Cognitive Maps
G Nápoles, I Grau, R Bello, M León, K Vahoof, E Papageorgiou
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2015
172015
Hybrid model based on rough sets theory and fuzzy cognitive maps for decision-making
G Nápoles, I Grau, K Vanhoof, R Bello
Rough Sets and Intelligent Systems Paradigms: Second International …, 2014
162014
Fuzzy-rough cognitive networks: Theoretical analysis and simpler models
L Concepción, G Nápoles, I Grau, W Pedrycz
IEEE Transactions on Cybernetics 52 (5), 2994-3005, 2020
152020
Learning of Fuzzy Cognitive Maps for simulation and knowledge discovery
G Napoles, I Grau, R Pérez-García, R Bello
Fourth International Workshop on Knowledge Discovery, Knowledge Management …, 2013
152013
Recommender system using long-term cognitive networks
G Nápoles, I Grau, Y Salgueiro
Knowledge-Based Systems 206, 106372, 2020
142020
Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems
G Nápoles, I Grau, R Bello
Swarm Intelligence-ANTS 2012, 352-353, 2012
142012
Recurrence-aware long-term cognitive network for explainable pattern classification
G Nápoles, Y Salgueiro, I Grau, ML Espinosa
IEEE transactions on cybernetics, 2022
132022
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Articles 1–20