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Javier Andreu-Perez

Reader

University of Essex

United Kingdom

Research Interests

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Professors in United Kingdom Professors in Artificial Intelligence Artificial Intelligence professors in United Kingdom

Articles (29)

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Collaborators (18)

Giancarlo Lucca

Professor

Universidad de Navarra

SPAIN

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David Richerby

Lecturer

University of Essex

UNITED KINGDOM

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Xavier Bosch-Capblanch

Swiss Tropical and Public Health Institute

SWITZERLAND

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Asier Urío Larrea

Assistant Professor

Public University of Navarre

SPAIN

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Humberto Bustince

Universidad de Navarra

SPAIN

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Marisol Gómez Fernández

Catedrática de Universidad

Public University of Navarre

SPAIN

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Helge Gillmeister

Reader

University of Essex

UNITED KINGDOM

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Carmen Vidaurre

Ikerbasque Research Associate Professor

Basque Center on Cognition, Brain and Language

SPAIN

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Heloisa Camargo

Full professor

Universidade Federal de São Carlos

BRAZIL

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Zdenko Takáč

slovak university of technology in bratislava

SLOVAKIA

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Jessica Zaqueros-Martinez

Profesor sustituto

Universidad de Jaén

SPAIN

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Cédric Marco-Detchart

Profesor Ayudante Doctor

Universidad de Navarra

SPAIN

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Anderson Cruz

Professor Associado

Federal University of Rio Grande do Norte

BRAZIL

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Prashant K Gupta

Associate Professor

Bennett University

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Antoine Doucet

La Rochelle University

FRANCE

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Silke Paulmann

Professor

University of Essex

UNITED KINGDOM

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Nancy Girdhar

University of Plymouth

UNITED KINGDOM

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Luis Martinez

Visitor Researcher

Universidad de Jaén

SPAIN

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Javier Andreu-Perez

Research Interests

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Articles (29)

Comparison measures of fuzzy inference rules based on generalizations of jaccard indices applied to inference method selection

PlanetNet -MMG: A robust multi-modal graph-based deep learning model for exoplanet candidate classification

A framework for reputation aware uninorm-driven consensus algorithms for blockchain networks

Factor-Informed Uncertainty Distillation for Gaze Estimation

Audio-Based Screening of Respiratory Diseases Using Machine Learning: A Methodological Framework Evaluated on a Clinically Validated COVID-19 Cough Dataset

Coordinate Singularities Break Conformal Coverage for Gaze and Head Pose

FODIT: A Filter-Based Module for Optimizing Data Storage in B5G IoT Environments

Data Stream Clustering: Introducing Recursively Extendable Aggregation Functions for Incremental Cluster Fusion Processes

Neural Profiling With fNIRS of Operator Performance in Teleoperated Human-Like Social Robot Interactions

Fuzzychain: An equitable consensus mechanism for blockchain networks

Supervised penalty-based aggregation applied to motor-imagery based brain-computer-interface

ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images Using Fuzzy Techniques

Toward assessment of human voice biomarkers of brain lesions through explainable deep learning

Ex-Fuzzy: A library for symbolic explainable AI through fuzzy logic programming

A Perceptual Computing Approach for Learning Interpretable Unsupervised Fuzzy Scoring Systems

Fuzzy Norm-Explicit Product Quantization for Recommender Systems

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

Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores

A Review of Deep Learning Models for Twitter Sentiment Analysis: Challenges and Opportunities

Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data

Prioritizing COVID-19 vaccine allocation in resource poor settings: Towards an Artificial Intelligence-enabled and Geospatial-assisted decision support framework

A Temporal Type-2 Fuzzy System for Time-Dependent Explainable Artificial Intelligence

Enhanced type-2 Wang-Mendel Approach

Enhanced type-2 Wang-Mendel Approach

Are advanced methods necessary to improve infant fNIRS data analysis? An assessment of baseline-corrected averaging, general linear model (GLM) and multivariate pattern analysis (MVPA) based approaches

Recognition of multi-cognitive tasks from EEG signals using EMD methods

Derived Multi-population Genetic Algorithm for Adaptive Fuzzy C-Means Clustering

Fuzzy temporal convolutional neural networks in P300-based Brain–computer interface for smart home interaction

Towards Understanding Human Functional Brain Development With Explainable Artificial Intelligence: Challenges and Perspectives

Collaborators (18)

Giancarlo Lucca

David Richerby

Xavier Bosch-Capblanch

Asier Urío Larrea

Humberto Bustince

Marisol Gómez Fernández

Helge Gillmeister

Carmen Vidaurre

Heloisa Camargo

Zdenko Takáč

Jessica Zaqueros-Martinez

Cédric Marco-Detchart

Anderson Cruz

Prashant K Gupta

Antoine Doucet

Silke Paulmann

Nancy Girdhar

Luis Martinez

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