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ORCIDJavier Andreu-Perez
Javier Andréu Pérez – Javier Andréu-Pérez – Javier Andreu 0001
Person information
- affiliation: University of Essex, Colchester, UK
Other persons with the same name
- Javier Andreu 0002 — University of Navarra, Spain
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2020 – today
- 2024
[j35]Abbas Salami
, Javier Andreu-Perez, Helge Gillmeister:
Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores. Artif. Intell. Medicine 149: 102755 (2024)- [j34]Benjamín Gutiérrez-Serafín, Javier Andreu-Perez, Humberto Pérez Espinosa, Silke Paulmann, Weiping Ding:
Toward assessment of human voice biomarkers of brain lesions through explainable deep learning. Biomed. Signal Process. Control. 87(Part B): 105457 (2024) - [j33]Bruno Ramos-Cruz, Javier Andreu-Perez, Luis Martínez:
The cybersecurity mesh: A comprehensive survey of involved artificial intelligence methods, cryptographic protocols and challenges for future research. Neurocomputing 581: 127427 (2024) - [j32]Javier Fumanal-Idocin, Javier Andreu-Perez:
Ex-Fuzzy: A library for symbolic explainable AI through fuzzy logic programming. Neurocomputing 599: 128048 (2024) - [j31]Prashant K. Gupta, Javier Andreu-Perez:
Enhanced type-2 Wang-Mendel Approach. J. Exp. Theor. Artif. Intell. 36(7): 1213-1238 (2024) - [j30]Javier Fumanal, Carmen Vidaurre, Javier Fernández, Marisol Gómez, Javier Andreu-Perez, Mukesh Prasad, Humberto Bustince:
Supervised penalty-based aggregation applied to motor-imagery based brain-computer-interface. Pattern Recognit. 145: 109924 (2024) - [j29]Prashant K. Gupta, Deepak Sharma, Javier Andreu-Perez:
A Perceptual Computing Approach for Learning Interpretable Unsupervised Fuzzy Scoring Systems. IEEE Trans. Artif. Intell. 5(8): 3832-3844 (2024) - [j28]Laxmi Chaudhary, Nancy Girdhar, Deepak Sharma, Javier Andreu-Perez, Antoine Doucet, Matthias Renz:
A Review of Deep Learning Models for Twitter Sentiment Analysis: Challenges and Opportunities. IEEE Trans. Comput. Soc. Syst. 11(3): 3550-3579 (2024) - [j27]Javier Fumanal-Idocin, Javier Andreu-Perez, Oscar Cordón, Hani Hagras, Humberto Bustince:
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images Using Fuzzy Techniques. IEEE Trans. Fuzzy Syst. 32(4): 1915-1926 (2024) - [j26]Mohammadreza Jamalifard, Javier Andreu-Perez, Hani Hagras, Luis Martínez-López:
Fuzzy Norm-Explicit Product Quantization for Recommender Systems. IEEE Trans. Fuzzy Syst. 32(5): 2987-2998 (2024) - [c33]Asier Urio-Larrea, Graçaliz Pereira Dimuro, Javier Andréu Pérez, Heloisa Camargo, Humberto Bustince:
Towards Analysing Climate Change Temperature Patterns through Stream Clustering Methods. EAIS 2024: 1-5 - [c32]Javier Fumanal-Idocin, Mohammadreza Jamalifard, Javier Andreu-Perez:
Interpreting Contrastive Embeddings in Specific Domains with Fuzzy Rules. FUZZ 2024: 1-7 - [i14]Bruno Ramos-Cruz, Javier Andréu-Pérez, Francisco J. Quesada, Luis Martínez:
Fuzzychain: An Equitable Consensus Mechanism for Blockchain Networks. CoRR abs/2404.13337 (2024) - 2023
- [j25]Weiping Ding, Javier Andréu Pérez, Yiu-ming Cheung, Swagatam Das, Xiaodong Yue, Dariusz Mrozek:
Special issue on fuzzy systems for biomedical science in healthcare. Appl. Soft Comput. 132: 109834 (2023) - [j24]Akshansh Gupta, Dhirendra Kumar, Hanuman Verma, Muhammad Tanveer, Javier Andreu-Perez, Chin-Teng Lin, Mukesh Prasad:
Recognition of multi-cognitive tasks from EEG signals using EMD methods. Neural Comput. Appl. 35(31): 22989-23006 (2023) - [j23]Weiping Ding, Zhihao Feng, Javier Andreu-Perez, Witold Pedrycz:
Derived Multi-population Genetic Algorithm for Adaptive Fuzzy C-Means Clustering. Neural Process. Lett. 55(3): 2023-2047 (2023) - [j22]Mehrin Kiani, Javier Andreu-Perez, Hani Hagras:
A Temporal Type-2 Fuzzy System for Time-Dependent Explainable Artificial Intelligence. IEEE Trans. Artif. Intell. 4(3): 573-586 (2023) - [j21]Mohammad Tanveer, Chin-Teng Lin, Chuan-Kang Ting, Javier Andreu-Perez:
Guest Editorial: Special Issue on Emerging Computational Intelligence Techniques to Address Challenges in Biomedical Data and Imaging. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 292-294 (2023) - [c31]Joseph Cherre Córdova, Christian Flores Vega, Javier Andreu-Perez:
EMGTFNet: Fuzzy Vision Transformer to Decode Upperlimb sEMG Signals for Hand Gestures Recognition. FUZZ 2023: 1-6 - [c30]Javier Fumanal-Idocin, Humberto Bustince, Javier Andreu-Perez, Hani Hagras:
On the Stability of Fuzzy Classifiers to Noise Induction. FUZZ 2023: 1-6 - [c29]Jose Angel Miranda, Celia López-Ongil, Javier Andreu-Perez:
Personalised and Adjustable Interval Type-2 Fuzzy-Based PPG Quality Assessment for the Edge. FUZZ 2023: 1-5 - [i13]Javier Fumanal-Idocin, Javier Andreu-Perez, Oscar Cordón, Hani Hagras, Humberto Bustince:
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques. CoRR abs/2308.15284 (2023) - [i12]Jose Angel Miranda, Celia López-Ongil, Javier Andreu-Perez:
Personalised and Adjustable Interval Type-2 Fuzzy-Based PPG Quality Assessment for the Edge. CoRR abs/2309.13464 (2023) - [i11]Joseph Cherre Córdova, Christian Flores Vega, Javier Andreu-Perez:
EMGTFNet: Fuzzy Vision Transformer to decode Upperlimb sEMG signals for Hand Gestures Recognition. CoRR abs/2310.03754 (2023) - 2022
- [j20]Abbas Salami, Javier Andreu-Perez, Helge Gillmeister:
EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery Classification. IEEE Access 10: 36672-36685 (2022) - [j19]Christian Flores Vega, Jonathan Quevedo, Elmer Escandón, Mehrin Kiani, Weiping Ding, Javier Andreu-Perez:
Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction. Appl. Soft Comput. 117: 108359 (2022) - [j18]Mehrin Kiani, Javier Andreu-Perez, Hani Hagras, Silvia Rigato, Maria Laura Filippetti:
Towards Understanding Human Functional Brain Development With Explainable Artificial Intelligence: Challenges and Perspectives. IEEE Comput. Intell. Mag. 17(1): 16-33 (2022) - [j17]Prashant K. Gupta, Javier Andreu-Perez:
A gentle introduction and survey on Computing with Words (CWW) methodologies. Neurocomputing 500: 921-937 (2022) - [j16]Mehrin Kiani, Javier Andreu-Perez, Hani Hagras, Elpiniki I. Papageorgiou, Mukesh Prasad, Chin-Teng Lin:
Effective Brain Connectivity for fNIRS With Fuzzy Cognitive Maps in Neuroergonomics. IEEE Trans. Cogn. Dev. Syst. 14(1): 50-63 (2022) - [j15]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, Zulfiqar Ali, Francisco Rivas:
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. 15(3): 1220-1232 (2022) - [c28]Jose Angel Miranda, Alba Páez-Montoro, Celia López-Ongil, Javier Andréu Pérez:
Towards Interval Type-2 Fuzzy-Based PPG Quality Assessment for Physiological Monitoring. FUZZ-IEEE 2022: 1-8 - [i10]Christian Flores Vega, Jonathan Quevedo, Elmer Escandón, Mehrin Kiani, Weiping Ding, Javier Andreu-Perez:
Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction. CoRR abs/2204.04338 (2022) - [i9]Abbas Salami, Javier Andreu-Perez, Helge Gillmeister:
EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery Classification. CoRR abs/2204.06947 (2022) - [i8]Prashant K. Gupta, Javier Andreu-Perez:
A Gentle Introduction and Survey on Computing with Words (CWW) Methodologies. CoRR abs/2208.06532 (2022) - [i7]Mehrin Kiani, Javier Andreu-Perez, Hani Hagras:
A Temporal Type-2 Fuzzy System for Time-dependent Explainable Artificial Intelligence. CoRR abs/2210.12571 (2022) - 2021
- [j14]Prashant K. Gupta, Deepak Sharma, Javier Andreu-Perez:
Enhanced linguistic computational models and their similarity with Yager's computing with words. Inf. Sci. 574: 259-278 (2021) - [j13]Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Weiping Ding, Chin-Teng Lin, Mukesh Prasad:
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. 51(5): 3080-3092 (2021) - [c27]Freddy del Angel-Arrieta, Michelle Rojas Cisneros, Jesús Joel Rivas, Luis R. Castrejon, Luis Enrique Sucar, Javier Andreu-Perez, Felipe Orihuela-Espina:
Characterization of a Raspberry Pi as the Core for a Low-cost Multimodal EEG-fNIRS Platform. EMBC 2021: 1288-1291 - [c26]Tharun Kumar Reddy, Yu-Kai Wang, Chin-Teng Lin, Javier Andreu-Perez:
Joint Approximate Diagonalization Divergence Based Scheme for EEG Drowsiness Detection Brain Computer Interfaces. FUZZ-IEEE 2021: 1-6 - [c25]Josip Rozman, Hani Hagras, Javier Andreu-Perez, Damien Clarke, Beate Müller, Steve Fitz:
A Type-2 Fuzzy Logic Based Explainable AI Approach for the Easy Calibration of AI models in IoT Environments. FUZZ-IEEE 2021: 1-8 - [c24]Deepak Sharma, Prashant K. Gupta, Javier Andreu-Perez, Jerry M. Mendel, Luis Martínez-López:
A Python Software Library for Computing with Words and Perceptions. FUZZ-IEEE 2021: 1-6 - [i6]Anirban Chowdhury, Javier Andreu-Perez:
Clinical Brain-Computer Interface Challenge 2020 (CBCIC at WCCI2020): Overview, methods and results. CoRR abs/2110.14845 (2021) - [i5]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, Zulfiqar Ali, Francisco Rivas:
A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels. CoRR abs/2111.05895 (2021) - [i4]Delaram Jarchi, Javier Andreu-Perez, Mehrin Kiani, Oldrich Vysata, Jirí Kuchynka, Ales Procházka, Saeid Sanei:
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning. CoRR abs/2111.05917 (2021) - [i3]Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Wei-Ping Ding, Chin-Teng Lin, Mukesh Prasad:
On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI. CoRR abs/2111.08154 (2021) - [i2]Mehrin Kiani, Javier Andreu-Perez, Hani Hagras, Silvia Rigato, Maria Laura Filippetti:
Towards Understanding Human Functional Brain Development with Explainable Artificial Intelligence: Challenges and Perspectives. CoRR abs/2112.12910 (2021) - 2020
- [j12]Javier Andreu-Perez:
Fuzzy learning and its applications in neural-engineering. Neurocomputing 389: 196-197 (2020) - [j11]Akshansh Gupta, R. K. Agrawal, Jyoti Singh Kirar, Baljeet Kaur, Weiping Ding, Chin-Teng Lin, Javier Andreu-Perez, Mukesh Prasad:
A hierarchical meta-model for multi-class mental task based brain-computer interfaces. Neurocomputing 389: 207-217 (2020) - [j10]Delaram Jarchi, Javier Andreu-Perez, Mehrin Kiani, Oldrich Vysata, Jirí Kuchynka, Ales Procházka, Saeid Sanei:
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning. Sensors 20(9): 2594 (2020) - [c23]Mehrin Kiani, Javier Andreu-Perez, Hani Hagras, Maria Laura Filippetti, Silvia Rigato:
A Type-2 Fuzzy Logic Based Explainable Artificial Intelligence System for Developmental Neuroscience. FUZZ-IEEE 2020: 1-8 - [c22]Josip Rozman, Hani Hagras, Javier Andreu-Perez, Damien Clarke, Beate Müller, Steve Fitz:
Privacy-Preserving Gesture Recognition with Explainable Type-2 Fuzzy Logic Based Systems. FUZZ-IEEE 2020: 1-8 - [c21]Mohammed Al-Zeyadi, Javier Andreu-Perez, Hani Hagras, Chris Royce, Darren Smith, Piotr Rzonsowski, Ali Malik:
Deep Learning Towards Intelligent Vehicle Fault Diagnosis. IJCNN 2020: 1-7 - [c20]Sergio A. Cortez, Christian Flores Vega, Javier Andreu-Perez:
Under-sampling and Classification of P300 Single-Trials using Self-Organized Maps and Deep Neural Networks for a Speller BCI. SMC 2020: 2972-2978 - [c19]Abbas Salami, Javier Andreu-Perez, Helge Gillmeister:
Towards Decoding of Depersonalisation Disorder Using EEG: A Time Series Analysis Using CDTW. SSCI 2020: 548-553 - [c18]Sergio A. Cortez, Christian Flores Vega, Javier Andreu-Perez:
Improving Speller BCI performance using a cluster-based under-sampling method. SSCI 2020: 576-581
2010 – 2019
- 2019
- [c17]Mehrin Kiani, Javier Andreu-Perez, Hani Hagras, Ana R. Andreu, Maria Pinto, Jaime Andreu, Pratusha Reddy, Kurtulus Izzetoglu:
Towards Gamers' Experience Level Decoding with Optical Brain Imaging. CEEC 2019: 47-52 - [c16]David Achanccaray, George P. Mylonas, Javier Andreu-Perez:
An Implicit Brain Computer Interface Supported by Gaze Monitoring for Virtual Therapy. SMC 2019: 2829-2832 - 2018
- [j9]Javier Andreu-Perez, Fan Cao, Hani Hagras, Guang-Zhong Yang:
A Self-Adaptive Online Brain-Machine Interface of a Humanoid Robot Through a General Type-2 Fuzzy Inference System. IEEE Trans. Fuzzy Syst. 26(1): 101-116 (2018) - [c15]Christian Flores Vega, Victor Flores, David Achanccaray, Javier Andreu-Perez:
A Convolutional Neural Network Approach for a P300-based Brain-Computer Interface for Disabled and Healthy Subjects. CEEC 2018: 192-197 - [c14]David Achanccaray, Christian Flores Vega, Christian Fonseca, Javier Andreu-Perez:
A Fuzzy Genetic Algorithm for Optimal Spatial Filter Selection for P300-Based Brain Computer Interfaces. FUZZ-IEEE 2018: 1-6 - [c13]Christian Flores Vega, Christian Fonseca, David Achanccaray, Javier Andreu-Perez:
Performance Evaluation of a P300 Brain-Computer Interface Using a Kernel Extreme Learning Machine Classifier. SMC 2018: 3715-3719 - [i1]Javier Andreu-Perez, Fani Deligianni, Daniele Ravì, Guang-Zhong Yang:
Artificial Intelligence and Robotics. CoRR abs/1803.10813 (2018) - 2017
- [j8]Javier Andreu-Perez, Luis Garcia-Gancedo, Jonathan McKinnell, Anniek Van der Drift, Adam Powell, Valentin Hamy, Thomas Keller, Guang-Zhong Yang:
Developing Fine-Grained Actigraphies for Rheumatoid Arthritis Patients from a Single Accelerometer Using Machine Learning. Sensors 17(9): 2113 (2017) - [j7]Daniele Ravì, Charence Wong, Fani Deligianni, Melissa Berthelot, Javier Andreu-Perez, Benny Lo, Guang-Zhong Yang:
Deep Learning for Health Informatics. IEEE J. Biomed. Health Informatics 21(1): 4-21 (2017) - [c12]Kevin Pacheco, Kevin Acuna, Erick Carranza, David Achanccaray, Javier Andreu-Perez:
Performance predictors of motor imagery brain-computer interface based on spatial abilities for upper limb rehabilitation. EMBC 2017: 1014-1017 - [c11]David Achanccaray, Kevin Acuna, Erick Carranza, Javier Andreu-Perez:
A virtual reality and brain computer interface system for upper limb rehabilitation of post stroke patients. FUZZ-IEEE 2017: 1-5 - [c10]David Achanccaray, Christian Flores Vega, Christian Fonseca, Javier Andreu-Perez:
A P300-based brain computer interface for smart home interaction through an ANFIS ensemble. FUZZ-IEEE 2017: 1-5 - [c9]Mehrin Kiani, Javier Andreu-Perez, Elpiniki I. Papageorgiou:
Improved estimation of effective brain connectivity in functional neuroimaging through higher order fuzzy cognitive maps. FUZZ-IEEE 2017: 1-6 - 2016
- [j6]Javier Andreu-Perez, Daniel Richard Leff, Kunal Shetty, Ara Darzi, Guang-Zhong Yang:
Disparity in Frontal Lobe Connectivity on a Complex Bimanual Motor Task Aids in Classification of Operator Skill Level. Brain Connect. 6(5): 375-388 (2016) - [j5]Javier Andreu-Perez, Celine Solnais, Kumuthan Sriskandarajah:
EALab (Eye Activity Lab): a MATLAB Toolbox for Variable Extraction, Multivariate Analysis and Classification of Eye-Movement Data. Neuroinformatics 14(1): 51-67 (2016) - 2015
- [j4]Javier Andreu-Perez, Daniel Richard Leff, Henry M. D. Ip, Guang-Zhong Yang:
From Wearable Sensors to Smart Implants-Toward Pervasive and Personalized Healthcare. IEEE Trans. Biomed. Eng. 62(12): 2750-2762 (2015) - [j3]Javier Andreu-Perez, Carmen C. Y. Poon, Robert D. Merrifield, Stephen T. C. Wong, Guang-Zhong Yang:
Big Data for Health. IEEE J. Biomed. Health Informatics 19(4): 1193-1208 (2015) - 2014
- [p1]Guang-Zhong Yang, Javier Andreu-Perez, Xiao-Peng Hu, Surapa Thiemjarus:
Multi-sensor Fusion. Body Sensor Networks 2014: 301-354 - 2013
- [j2]Javier Andreu, Plamen Angelov:
Towards generic human activity recognition for ubiquitous applications. J. Ambient Intell. Humaniz. Comput. 4(2): 155-156 (2013) - [j1]Javier Andreu, Plamen Angelov:
An evolving machine learning method for human activity recognition systems. J. Ambient Intell. Humaniz. Comput. 4(2): 195-206 (2013) - 2012
- [b1]Javier Andreu-Perez:
Evolving intelligent systems for ubiquitous computing technologies. Lancaster University, UK, 2012 - [c8]Pouria Sadeghi-Tehran, Sasmita Behera, Plamen Angelov, Javier Andreu:
Autonomous visual self-localization in completely unknown environment. EAIS 2012: 90-95 - [c7]Plamen Angelov, Javier Andreu, Tu Vuong:
Automatic mobile photographer and picture diary. EAIS 2012: 102-107 - 2011
- [c6]Javier Andreu, Rashmi Dutta Baruah, Plamen Angelov:
Automatic scene recognition for low-resource devices using evolving classifiers. FUZZ-IEEE 2011: 2779-2785 - [c5]Javier Andreu, Rashmi Dutta Baruah, Plamen Angelov:
Real time recognition of human activities from wearable sensors by evolving classifiers. FUZZ-IEEE 2011: 2786-2793 - [c4]Rashmi Dutta Baruah, Plamen Angelov, Javier Andreu:
Simpl_eClass: Simplified potential-free evolving fuzzy rule-based classifiers. SMC 2011: 2249-2254 - 2010
- [c3]Javier Andreu, Plamen Angelov:
Real-time human activity recognition from wireless sensors using evolving fuzzy systems. FUZZ-IEEE 2010: 1-8 - [c2]Javier Andreu, Plamen Angelov:
Forecasting time-series for NN GC1 using Evolving Takagi-Sugeno (eTS) Fuzzy Systems with on-line inputs selection. FUZZ-IEEE 2010: 1-5
2000 – 2009
- 2009
- [c1]Javier Andréu Pérez, Juan Antonio Álvarez, Alejandro Fernández-Montes, Juan Antonio Ortega:
Service-Oriented Device Integration for Ubiquitous Ambient Assisted Living Environments. IWANN (2) 2009: 843-850
Coauthor Index
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