Service-Oriented Device Integration for Ubiquitous Ambient Assisted Living Environments. - Javier Andréu Pérez; Juan Antonio Álvarez; Alejandro Fernández-Montes; Juan Antonio Ortega 001 (IWANN (2), 2009)

Real-time human activity recognition from wireless sensors using evolving fuzzy systems. - Javier Andreu 001; Plamen Angelov 001 (FUZZ-IEEE, 2010)

Forecasting time-series for NN GC1 using Evolving Takagi-Sugeno (eTS) Fuzzy Systems with on-line inputs selection. - Javier Andreu 001; Plamen Angelov 001 (FUZZ-IEEE, 2010)

Automatic scene recognition for low-resource devices using evolving classifiers. - Javier Andreu 001; Rashmi Dutta Baruah; Plamen Angelov 001 (FUZZ-IEEE, 2011)

Real time recognition of human activities from wearable sensors by evolving classifiers. - Javier Andreu 001; Rashmi Dutta Baruah; Plamen Angelov 001 (FUZZ-IEEE, 2011)

Simpl_eClass: Simplified potential-free evolving fuzzy rule-based classifiers. - Rashmi Dutta Baruah; Plamen Angelov 001; Javier Andreu 001 (SMC, 2011)

Automatic mobile photographer and picture diary. - Plamen Angelov 001; Javier Andreu 001; Tu Vuong (EAIS, 2012)

Autonomous visual self-localization in completely unknown environment. - Pouria Sadeghi-Tehran; Sasmita Behera; Plamen Angelov 001; Javier Andreu 001 (EAIS, 2012)

Evolving intelligent systems for ubiquitous computing technologies. - Javier Andreu-Perez (2012)

Towards generic human activity recognition for ubiquitous applications. - Javier Andreu 001; Plamen Angelov 001 (J. Ambient Intell. Humaniz. Comput., 2013)

An evolving machine learning method for human activity recognition systems. - Javier Andreu 001; Plamen Angelov 001 (J. Ambient Intell. Humaniz. Comput., 2013)

Multi-sensor Fusion. - Guang-Zhong Yang; Javier Andreu-Perez; Xiaopeng Hu 001; Surapa Thiemjarus (Body Sensor Networks, 2014)

From Wearable Sensors to Smart Implants-Toward Pervasive and Personalized Healthcare. - Javier Andreu-Perez; Daniel Richard Leff; Henry M. D. Ip; Guang-Zhong Yang (IEEE Trans. Biomed. Eng., 2015)

Big Data for Health. - Javier Andreu-Perez; Carmen C. Y. Poon; Robert D. Merrifield; Stephen T. C. Wong; Guang-Zhong Yang (IEEE J. Biomed. Health Informatics, 2015)

Disparity in Frontal Lobe Connectivity on a Complex Bimanual Motor Task Aids in Classification of Operator Skill Level. - Javier Andreu-Perez; Daniel Richard Leff; Kunal Shetty; Ara Darzi; Guang-Zhong Yang (Brain Connect., 2016)

EALab (Eye Activity Lab): a MATLAB Toolbox for Variable Extraction, Multivariate Analysis and Classification of Eye-Movement Data. - Javier Andreu-Perez; Celine Solnais; Kumuthan Sriskandarajah (Neuroinformatics, 2016)

Performance predictors of motor imagery brain-computer interface based on spatial abilities for upper limb rehabilitation. - Kevin Pacheco; Kevin Acuna; Erick Carranza; David Achanccaray; Javier Andreu-Perez (EMBC, 2017)

A virtual reality and brain computer interface system for upper limb rehabilitation of post stroke patients. - David Achanccaray; Kevin Acuna; Erick Carranza; Javier Andreu-Perez (FUZZ-IEEE, 2017)

A P300-based brain computer interface for smart home interaction through an ANFIS ensemble. - David Achanccaray; Christian Flores Vega; Christian Fonseca; Javier Andreu-Perez (FUZZ-IEEE, 2017)

Improved estimation of effective brain connectivity in functional neuroimaging through higher order fuzzy cognitive maps. - Mehrin Kiani; Javier Andreu-Perez; Elpiniki I. Papageorgiou (FUZZ-IEEE, 2017)

Developing Fine-Grained Actigraphies for Rheumatoid Arthritis Patients from a Single Accelerometer Using Machine Learning. - Javier Andreu-Perez; Luis Garcia-Gancedo; Jonathan McKinnell; Anniek Van der Drift; Adam Powell; Valentin Hamy; Thomas Keller; Guang-Zhong Yang (Sensors, 2017)

Deep Learning for Health Informatics. - Daniele Ravì; Charence Wong; Fani Deligianni; Melissa Berthelot; Javier Andreu-Perez; Benny Lo; Guang-Zhong Yang (IEEE J. Biomed. Health Informatics, 2017)

A Convolutional Neural Network Approach for a P300-based Brain-Computer Interface for Disabled and Healthy Subjects. - Christian Flores Vega; Victor Flores; David Achanccaray; Javier Andreu-Perez (CEEC, 2018)

A Fuzzy Genetic Algorithm for Optimal Spatial Filter Selection for P300-Based Brain Computer Interfaces. - David Achanccaray; Christian Flores Vega; Christian Fonseca; Javier Andreu-Perez (FUZZ-IEEE, 2018)

Performance Evaluation of a P300 Brain-Computer Interface Using a Kernel Extreme Learning Machine Classifier. - Christian Flores Vega; Christian Fonseca; David Achanccaray; Javier Andreu-Perez (SMC, 2018)

Artificial Intelligence and Robotics. - Javier Andreu-Perez; Fani Deligianni; Daniele Ravì; Guang-Zhong Yang (CoRR, 2018)

A Self-Adaptive Online Brain-Machine Interface of a Humanoid Robot Through a General Type-2 Fuzzy Inference System. - Javier Andreu-Perez; Fan Cao; Hani Hagras; Guang-Zhong Yang (IEEE Trans. Fuzzy Syst., 2018)

Towards Gamers' Experience Level Decoding with Optical Brain Imaging. - Mehrin Kiani; Javier Andreu-Perez; Hani Hagras; Ana R. Andreu; Maria Pinto; Jaime Andreu; Pratusha Reddy; Kurtulus Izzetoglu (CEEC, 2019)

An Implicit Brain Computer Interface Supported by Gaze Monitoring for Virtual Therapy. - David Achanccaray; George P. Mylonas; Javier Andreu-Perez (SMC, 2019)

A Type-2 Fuzzy Logic Based Explainable Artificial Intelligence System for Developmental Neuroscience. - Mehrin Kiani; Javier Andreu-Perez; Hani Hagras; Maria Laura Filippetti; Silvia Rigato (FUZZ-IEEE, 2020)

Privacy-Preserving Gesture Recognition with Explainable Type-2 Fuzzy Logic Based Systems. - Josip Rozman; Hani Hagras; Javier Andreu-Perez; Damien Clarke; Beate Müller; Steve Fitz (FUZZ-IEEE, 2020)

Deep Learning Towards Intelligent Vehicle Fault Diagnosis. - Mohammed Al-Zeyadi; Javier Andreu-Perez; Hani Hagras; Chris Royce; Darren Smith; Piotr Rzonsowski; Ali Malik (IJCNN, 2020)

Under-sampling and Classification of P300 Single-Trials using Self-Organized Maps and Deep Neural Networks for a Speller BCI. - Sergio A. Cortez; Christian Flores Vega; Javier Andreu-Perez (SMC, 2020)

Improving Speller BCI performance using a cluster-based under-sampling method. - Sergio A. Cortez; Christian Flores Vega; Javier Andreu-Perez (SSCI, 2020)

Towards Decoding of Depersonalisation Disorder Using EEG: A Time Series Analysis Using CDTW. - Abbas Salami; Javier Andreu-Perez; Helge Gillmeister (SSCI, 2020)

A hierarchical meta-model for multi-class mental task based brain-computer interfaces. - Akshansh Gupta; R. K. Agrawal 001; Jyoti Singh Kirar; Baljeet Kaur; Weiping Ding 001; Chin-Teng Lin; Javier Andreu-Perez; Mukesh Prasad (Neurocomputing, 2020)

Fuzzy learning and its applications in neural-engineering. - Javier Andreu-Perez (Neurocomputing, 2020)

Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning. - Delaram Jarchi; Javier Andreu-Perez; Mehrin Kiani; Oldrich Vysata; Jirí Kuchynka; Ales Procházka; Saeid Sanei (Sensors, 2020)

Characterization of a Raspberry Pi as the Core for a Low-cost Multimodal EEG-fNIRS Platform. - Freddy del Angel-Arrieta; Michelle Rojas Cisneros; Jesús Joel Rivas; Luis R. Castrejon; Luis Enrique Sucar; Javier Andreu-Perez; Felipe Orihuela-Espina (EMBC, 2021)

Joint Approximate Diagonalization Divergence Based Scheme for EEG Drowsiness Detection Brain Computer Interfaces. - Tharun Kumar Reddy; Yu-Kai Wang; Chin-Teng Lin; Javier Andreu-Perez (FUZZ-IEEE, 2021)

A Type-2 Fuzzy Logic Based Explainable AI Approach for the Easy Calibration of AI models in IoT Environments. - Josip Rozman; Hani Hagras; Javier Andreu-Perez; Damien Clarke; Beate Müller; Steve Fitz (FUZZ-IEEE, 2021)

A Python Software Library for Computing with Words and Perceptions. - Deepak Sharma 005; Prashant K. Gupta; Javier Andreu-Perez; Jerry M. Mendel; Luis Martínez-López 001 (FUZZ-IEEE, 2021)

Clinical Brain-Computer Interface Challenge 2020 (CBCIC at WCCI2020): Overview, methods and results. - Anirban Chowdhury; Javier Andreu-Perez (CoRR, 2021)

Enhanced linguistic computational models and their similarity with Yager's computing with words. - Prashant K. Gupta; Deepak Sharma 005; Javier Andreu-Perez (Inf. Sci., 2021)

On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI. - Akshansh Gupta; Ramesh Kumar Agrawal; Jyoti Singh Kirar; Javier Andreu-Perez; Weiping Ding 001; Chin-Teng Lin; Mukesh Prasad (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Towards Interval Type-2 Fuzzy-Based PPG Quality Assessment for Physiological Monitoring. - Jose Angel Miranda; Alba Páez-Montoro; Celia López-Ongil; Javier Andréu Pérez (FUZZ-IEEE, 2022)

EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery Classification. - Abbas Salami; Javier Andreu-Perez; Helge Gillmeister (IEEE Access, 2022)

Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction. - Christian Flores Vega; Jonathan Quevedo; Elmer Escandón; Mehrin Kiani; Weiping Ding 001; Javier Andreu-Perez (Appl. Soft Comput., 2022)

Towards Understanding Human Functional Brain Development With Explainable Artificial Intelligence: Challenges and Perspectives. - Mehrin Kiani; Javier Andreu-Perez; Hani Hagras; Silvia Rigato; Maria Laura Filippetti (IEEE Comput. Intell. Mag., 2022)

A gentle introduction and survey on Computing with Words (CWW) methodologies. - Prashant K. Gupta; Javier Andreu-Perez (Neurocomputing, 2022)

Effective Brain Connectivity for fNIRS With Fuzzy Cognitive Maps in Neuroergonomics. - Mehrin Kiani; Javier Andreu-Perez; Hani Hagras; Elpiniki I. Papageorgiou; Mukesh Prasad; Chin-Teng Lin (IEEE Trans. Cogn. Dev. Syst., 2022)

A Generic Deep Learning Based Cough Analysis System From Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels. - Javier Andreu-Perez; Humberto Pérez Espinosa; Eva Timonet; Mehrin Kiani; Manuel I. Girón-Pérez; Alma B. Benitez-Trinidad; Delaram Jarchi; Alejandro Rosales-Pérez; Nick Gatzoulis; Orion Fausto Reyes-Galaviz; Alejandro Antonio Torres García; Carlos A. Reyes García; et al. (IEEE Trans. Serv. Comput., 2022)

EMGTFNet: Fuzzy Vision Transformer to Decode Upperlimb sEMG Signals for Hand Gestures Recognition. - Joseph Cherre Córdova; Christian Flores Vega; Javier Andreu-Perez (FUZZ, 2023)

On the Stability of Fuzzy Classifiers to Noise Induction. - Javier Fumanal-Idocin; Humberto Bustince; Javier Andreu-Perez; Hani Hagras (FUZZ, 2023)

Personalised and Adjustable Interval Type-2 Fuzzy-Based PPG Quality Assessment for the Edge. - Jose Angel Miranda; Celia López-Ongil; Javier Andreu-Perez (FUZZ, 2023)

Special issue on fuzzy systems for biomedical science in healthcare. - Weiping Ding 001; Javier Andréu Pérez; Yiu-ming Cheung; Swagatam Das; Xiaodong Yue; Dariusz Mrozek (Appl. Soft Comput., 2023)

Guest Editorial: Special Issue on Emerging Computational Intelligence Techniques to Address Challenges in Biomedical Data and Imaging. - Mohammad Tanveer 001; Chin-Teng Lin; Chuan-Kang Ting; Javier Andreu-Perez (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Derived Multi-population Genetic Algorithm for Adaptive Fuzzy C-Means Clustering. - Weiping Ding 001; Zhihao Feng; Javier Andreu-Perez; Witold Pedrycz (Neural Process. Lett., 2023)

A Temporal Type-2 Fuzzy System for Time-Dependent Explainable Artificial Intelligence. - Mehrin Kiani; Javier Andreu-Perez; Hani Hagras (IEEE Trans. Artif. Intell., 2023)

Recognition of multi-cognitive tasks from EEG signals using EMD methods. - Akshansh Gupta; Dhirendra Kumar; Hanuman Verma; Muhammad Tanveer 001; Javier Andreu-Perez; Chin-Teng Lin; Mukesh Prasad (Neural Comput. Appl., 2023)

Towards Analysing Climate Change Temperature Patterns through Stream Clustering Methods. - Asier Urio-Larrea; Graçaliz Pereira Dimuro; Javier Andréu Pérez; Heloisa A. Camargo; Humberto Bustince (EAIS, 2024)

Interpreting Contrastive Embeddings in Specific Domains with Fuzzy Rules. - Javier Fumanal-Idocin; Mohammadreza Jamalifard; Javier Andreu-Perez (FUZZ, 2024)

EEG-TCF2Net: A Novel Deep Interval Type-2 Fuzzy Model for Decoding SSVEP in Brain-Computer Interfaces. - Marcelo Contreras; Christian Flores; Javier Andreu-Perez (SMC, 2024)

Combining Distributed Ledger Technologies and Differentially Private Sketching Techniques for Securing Health Monitoring. - Bruno Ramos-Cruz; Francisco J. Quesada-Real; Mercedes Rodriguez-Garcia; Javier Andreu-Perez; Luis Martínez 001 (UCAmI, 2024)

Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores. - Abbas Salami; Javier Andreu-Perez; Helge Gillmeister (Artif. Intell. Medicine, 2024)

Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data. - Christian Flores; Marcelo Contreras; Ichiro Macedo; Javier Andreu-Perez (CoRR, 2024)

Ex-Fuzzy: A library for symbolic explainable AI through fuzzy logic programming. - Javier Fumanal-Idocin; Javier Andreu-Perez (Neurocomputing, 2024)

The cybersecurity mesh: A comprehensive survey of involved artificial intelligence methods, cryptographic protocols and challenges for future research. - Bruno Ramos-Cruz; Javier Andreu-Perez; Luis Martínez 001 (Neurocomputing, 2024)

Toward assessment of human voice biomarkers of brain lesions through explainable deep learning. - Benjamín Gutiérrez-Serafín; Javier Andreu-Perez; Humberto Pérez Espinosa; Silke Paulmann; Weiping Ding 001 (Biomed. Signal Process. Control., 2024)

Supervised penalty-based aggregation applied to motor-imagery based brain-computer-interface. - Javier Fumanal; Carmen Vidaurre; Javier Fernández 002; Marisol Gómez; Javier Andreu-Perez; Mukesh Prasad; Humberto Bustince (Pattern Recognit., 2024)

ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images Using Fuzzy Techniques. - Javier Fumanal-Idocin; Javier Andreu-Perez; Oscar Cordón; Hani Hagras; Humberto Bustince (IEEE Trans. Fuzzy Syst., 2024)

Fuzzy Norm-Explicit Product Quantization for Recommender Systems. - Mohammadreza Jamalifard; Javier Andreu-Perez; Hani Hagras; Luis Martínez-López 001 (IEEE Trans. Fuzzy Syst., 2024)

A Review of Deep Learning Models for Twitter Sentiment Analysis: Challenges and Opportunities. - Laxmi Chaudhary; Nancy Girdhar; Deepak Sharma 005; Javier Andreu-Perez; Antoine Doucet; Matthias Renz (IEEE Trans. Comput. Soc. Syst., 2024)

A Perceptual Computing Approach for Learning Interpretable Unsupervised Fuzzy Scoring Systems. - Prashant K. Gupta; Deepak Sharma 005; Javier Andreu-Perez (IEEE Trans. Artif. Intell., 2024)

Enhanced type-2 Wang-Mendel Approach. - Prashant K. Gupta; Javier Andreu-Perez (J. Exp. Theor. Artif. Intell., 2024)

Fuzzychain: An equitable consensus mechanism for blockchain networks. - Bruno Ramos-Cruz; Javier Andreu-Perez; Francisco J. Quesada-Real; Luis Martínez 001 (J. Netw. Comput. Appl., 2025)

Compact Rule-Based Classifier Learning via Gradient Descent. - Javier Fumanal-Idocin; Raquel Fernandez-Peralta; Javier Andreu-Perez (CoRR, 2025)

Data Stream Clustering: Introducing Recursively Extendable Aggregation Functions for Incremental Cluster Fusion Processes. - Asier Urio-Larrea; Heloisa A. Camargo; Giancarlo Lucca; Tiago da Cruz Asmus; Cédric Marco-Detchart; Leonardo Schick; Carlos Lopez-Molina; Javier Andreu-Perez; Humberto Bustince; Graçaliz Pereira Dimuro (IEEE Trans. Cybern., 2025)

Reliable Classification with Conformal Learning and Interval-Type 2 Fuzzy Sets. - Javier Fumanal-Idocin; Javier Andreu-Perez (CoRR, 2025)

Crisp complexity of fuzzy classifiers. - Raquel Fernandez-Peralta; Javier Fumanal-Idocin; Javier Andreu-Perez (CoRR, 2025)