Javier Andreu-Perez

Orcid: 0000-0002-7421-4808

Affiliations:
  • University of Essex, Colchester, UK


According to our database1, Javier Andreu-Perez authored at least 73 papers between 2009 and 2024.

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Bibliography

2024
Enhanced type-2 Wang-Mendel Approach.
J. Exp. Theor. Artif. Intell., October, 2024

A Perceptual Computing Approach for Learning Interpretable Unsupervised Fuzzy Scoring Systems.
IEEE Trans. Artif. Intell., August, 2024

A Review of Deep Learning Models for Twitter Sentiment Analysis: Challenges and Opportunities.
IEEE Trans. Comput. Soc. Syst., June, 2024

Fuzzy Norm-Explicit Product Quantization for Recommender Systems.
IEEE Trans. Fuzzy Syst., May, 2024

ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images Using Fuzzy Techniques.
IEEE Trans. Fuzzy Syst., April, 2024

Supervised penalty-based aggregation applied to motor-imagery based brain-computer-interface.
Pattern Recognit., January, 2024

Toward assessment of human voice biomarkers of brain lesions through explainable deep learning.
Biomed. Signal Process. Control., January, 2024

The cybersecurity mesh: A comprehensive survey of involved artificial intelligence methods, cryptographic protocols and challenges for future research.
Neurocomputing, 2024

Ex-Fuzzy: A library for symbolic explainable AI through fuzzy logic programming.
Neurocomputing, 2024

Fuzzychain: An Equitable Consensus Mechanism for Blockchain Networks.
CoRR, 2024

Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores.
Artif. Intell. Medicine, 2024

Interpreting Contrastive Embeddings in Specific Domains with Fuzzy Rules.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

Towards Analysing Climate Change Temperature Patterns through Stream Clustering Methods.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023
Recognition of multi-cognitive tasks from EEG signals using EMD methods.
Neural Comput. Appl., November, 2023

A Temporal Type-2 Fuzzy System for Time-Dependent Explainable Artificial Intelligence.
IEEE Trans. Artif. Intell., June, 2023

Derived Multi-population Genetic Algorithm for Adaptive Fuzzy C-Means Clustering.
Neural Process. Lett., June, 2023

Guest Editorial: Special Issue on Emerging Computational Intelligence Techniques to Address Challenges in Biomedical Data and Imaging.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

Special issue on fuzzy systems for biomedical science in healthcare.
Appl. Soft Comput., 2023

Personalised and Adjustable Interval Type-2 Fuzzy-Based PPG Quality Assessment for the Edge.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

On the Stability of Fuzzy Classifiers to Noise Induction.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

EMGTFNet: Fuzzy Vision Transformer to Decode Upperlimb sEMG Signals for Hand Gestures Recognition.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022
A Generic Deep Learning Based Cough Analysis System From Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels.
IEEE Trans. Serv. Comput., 2022

Effective Brain Connectivity for fNIRS With Fuzzy Cognitive Maps in Neuroergonomics.
IEEE Trans. Cogn. Dev. Syst., 2022

A gentle introduction and survey on Computing with Words (CWW) methodologies.
Neurocomputing, 2022

Towards Understanding Human Functional Brain Development With Explainable Artificial Intelligence: Challenges and Perspectives.
IEEE Comput. Intell. Mag., 2022

Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction.
Appl. Soft Comput., 2022

EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery Classification.
IEEE Access, 2022

Towards Interval Type-2 Fuzzy-Based PPG Quality Assessment for Physiological Monitoring.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021
On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Enhanced linguistic computational models and their similarity with Yager's computing with words.
Inf. Sci., 2021

Clinical Brain-Computer Interface Challenge 2020 (CBCIC at WCCI2020): Overview, methods and results.
CoRR, 2021

A Python Software Library for Computing with Words and Perceptions.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

A Type-2 Fuzzy Logic Based Explainable AI Approach for the Easy Calibration of AI models in IoT Environments.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Joint Approximate Diagonalization Divergence Based Scheme for EEG Drowsiness Detection Brain Computer Interfaces.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Characterization of a Raspberry Pi as the Core for a Low-cost Multimodal EEG-fNIRS Platform.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning.
Sensors, 2020

Fuzzy learning and its applications in neural-engineering.
Neurocomputing, 2020

A hierarchical meta-model for multi-class mental task based brain-computer interfaces.
Neurocomputing, 2020

Towards Decoding of Depersonalisation Disorder Using EEG: A Time Series Analysis Using CDTW.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Improving Speller BCI performance using a cluster-based under-sampling method.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Under-sampling and Classification of P300 Single-Trials using Self-Organized Maps and Deep Neural Networks for a Speller BCI.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Deep Learning Towards Intelligent Vehicle Fault Diagnosis.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Privacy-Preserving Gesture Recognition with Explainable Type-2 Fuzzy Logic Based Systems.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

A Type-2 Fuzzy Logic Based Explainable Artificial Intelligence System for Developmental Neuroscience.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019
An Implicit Brain Computer Interface Supported by Gaze Monitoring for Virtual Therapy.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Towards Gamers' Experience Level Decoding with Optical Brain Imaging.
Proceedings of the 11th Computer Science and Electronic Engineering Conference, 2019

2018
A Self-Adaptive Online Brain-Machine Interface of a Humanoid Robot Through a General Type-2 Fuzzy Inference System.
IEEE Trans. Fuzzy Syst., 2018

Artificial Intelligence and Robotics.
CoRR, 2018

Performance Evaluation of a P300 Brain-Computer Interface Using a Kernel Extreme Learning Machine Classifier.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Fuzzy Genetic Algorithm for Optimal Spatial Filter Selection for P300-Based Brain Computer Interfaces.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

A Convolutional Neural Network Approach for a P300-based Brain-Computer Interface for Disabled and Healthy Subjects.
Proceedings of the 2018 10th Computer Science and Electronic Engineering Conference, 2018

2017
Deep Learning for Health Informatics.
IEEE J. Biomed. Health Informatics, 2017

Developing Fine-Grained Actigraphies for Rheumatoid Arthritis Patients from a Single Accelerometer Using Machine Learning.
Sensors, 2017

Improved estimation of effective brain connectivity in functional neuroimaging through higher order fuzzy cognitive maps.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A P300-based brain computer interface for smart home interaction through an ANFIS ensemble.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A virtual reality and brain computer interface system for upper limb rehabilitation of post stroke patients.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Performance predictors of motor imagery brain-computer interface based on spatial abilities for upper limb rehabilitation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
EALab (Eye Activity Lab): a MATLAB Toolbox for Variable Extraction, Multivariate Analysis and Classification of Eye-Movement Data.
Neuroinformatics, 2016

Disparity in Frontal Lobe Connectivity on a Complex Bimanual Motor Task Aids in Classification of Operator Skill Level.
Brain Connect., 2016

2015
Big Data for Health.
IEEE J. Biomed. Health Informatics, 2015

From Wearable Sensors to Smart Implants-Toward Pervasive and Personalized Healthcare.
IEEE Trans. Biomed. Eng., 2015

2014
Multi-sensor Fusion.
Proceedings of the Body Sensor Networks, 2014

2013
An evolving machine learning method for human activity recognition systems.
J. Ambient Intell. Humaniz. Comput., 2013

Towards generic human activity recognition for ubiquitous applications.
J. Ambient Intell. Humaniz. Comput., 2013

2012
Evolving intelligent systems for ubiquitous computing technologies.
PhD thesis, 2012

Autonomous visual self-localization in completely unknown environment.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

Automatic mobile photographer and picture diary.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

2011
Simpl_eClass: Simplified potential-free evolving fuzzy rule-based classifiers.
Proceedings of the IEEE International Conference on Systems, 2011

Real time recognition of human activities from wearable sensors by evolving classifiers.
Proceedings of the FUZZ-IEEE 2011, 2011

Automatic scene recognition for low-resource devices using evolving classifiers.
Proceedings of the FUZZ-IEEE 2011, 2011

2010
Forecasting time-series for NN GC1 using Evolving Takagi-Sugeno (eTS) Fuzzy Systems with on-line inputs selection.
Proceedings of the FUZZ-IEEE 2010, 2010

Real-time human activity recognition from wireless sensors using evolving fuzzy systems.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Service-Oriented Device Integration for Ubiquitous Ambient Assisted Living Environments.
Proceedings of the Distributed Computing, 2009


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