E.T.S. DE INGENIERÍAS INFORMÁTICA Y DE TELECOMUNICACIÓN
Fakultatea
University of Essex
Colchester, Reino UnidoUniversity of Essex-ko ikertzaileekin lankidetzan egindako argitalpenak (22)
2024
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ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images Using Fuzzy Techniques
IEEE Transactions on Fuzzy Systems, Vol. 32, Núm. 4, pp. 1915-1926
2020
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Deep learning for EEG-based motor imagery classification: Accuracy-cost trade-off
PLoS ONE, Vol. 15, Núm. 6
2019
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A new multi-objective wrapper method for feature selection – Accuracy and stability analysis for BCI
Neurocomputing, Vol. 333, pp. 407-418
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Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Observing the pulse of a city: A Smart city framework for real-time discovery, federation, and aggregation of data streams
IEEE Internet of Things Journal, Vol. 6, Núm. 2, pp. 2651-2668
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Toward a Fuzzy Logic System Based on General Forms of Interval Type-2 Fuzzy Sets
IEEE Transactions on Fuzzy Systems, Vol. 27, Núm. 12, pp. 2381-2395
2017
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A parallel island approach to multiobjective feature selection for brain-computer interfaces
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 16-27
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Conference Report on 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017) [Conference Reports]
IEEE Computational Intelligence Magazine, Vol. 12, Núm. 4, pp. 6-8
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Deep belief networks and multiobjective feature selection for BCI with multiresolution analysis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 28-39
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The Non-singleton Fuzzification Operation for General Forms of Interval Type-2 Fuzzy Logic Systems
2017 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE)
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The non-singleton fuzzification operation for general forms of interval type-2 fuzzy logic systems
IEEE International Conference on Fuzzy Systems
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Towards a framework for singleton general forms of interval type-2 fuzzy systems
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10147 LNAI, pp. 3-26
2016
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A historical account of types of fuzzy sets and their relationships
IEEE Transactions on Fuzzy Systems, Vol. 24, Núm. 1, pp. 179-194
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Comments on 'interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: Towards a wide view on their relationship'
IEEE Transactions on Fuzzy Systems, Vol. 24, Núm. 1, pp. 249-250
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Join and Meet Operations for Type-2 Fuzzy Sets with Nonconvex Secondary Memberships
IEEE Transactions on Fuzzy Systems, Vol. 24, Núm. 4, pp. 1000-1008
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Towards general forms of interval type-2 fuzzy logic systems
2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
2015
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A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications with Imbalanced Data
IEEE Transactions on Fuzzy Systems, Vol. 23, Núm. 4, pp. 973-990
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Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Toward a Wider View on Their Relationship
IEEE Transactions on Fuzzy Systems, Vol. 23, Núm. 5, pp. 1876-1882
2013
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Multiobjective optimization and comparison of nonsingleton type-1 and singleton interval type-2 fuzzy logic systems
IEEE Transactions on Fuzzy Systems, Vol. 21, Núm. 3, pp. 459-476
2012
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A Fuzzy Logic Approach for Learning Daily Human Activities in an Ambient Intelligent Environment
2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE)