| Deep learning for health informatics D Ravì, C Wong, F Deligianni, M Berthelot, J Andreu-Perez, B Lo, ... IEEE journal of biomedical and health informatics 21 (1), 4-21, 2016 | 2264 | 2016 |
| Big data for health J Andreu-Perez, CCY Poon, RD Merrifield, STC Wong, GZ Yang IEEE journal of biomedical and health informatics 19 (4), 1193-1208, 2015 | 914 | 2015 |
| From wearable sensors to smart implants-–toward pervasive and personalized healthcare J Andreu-Perez, DR Leff, HMD Ip, GZ Yang IEEE Transactions on Biomedical Engineering 62 (12), 2750-2762, 2015 | 448 | 2015 |
| The contribution of neuroscience to consumer research: A conceptual framework and empirical review C Solnais, J Andreu-Perez, J Sánchez-Fernández, J Andréu-Abela Journal of economic psychology 36, 68-81, 2013 | 274 | 2013 |
| A self-adaptive online brain–machine interface of a humanoid robot through a general type-2 fuzzy inference system J Andreu-Perez, F Cao, H Hagras, GZ Yang IEEE Transactions on Fuzzy Systems 26 (1), 101-116, 2016 | 125 | 2016 |
| A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels J Andreu-Perez, H Perez-Espinosa, E Timonet, M Kiani, MI Giron-Perez, ... IEEE Transactions on Services Computing, 2021 | 112 | 2021 |
| EEG-ITNet: An explainable inception temporal convolutional network for motor imagery classification A Salami, J Andreu-Perez, H Gillmeister IEEE Access 10, 36672-36685, 2022 | 84 | 2022 |
| On the utility of Power Spectral Techniques with feature selection Techniques for Effective Mental Task Classification in Non-invasive BCI MP Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti kirar, Javier Andreu-Perez ... IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019 | 65 | 2019 |
| Artificial Intelligence and robotics J Andreu-Perez, F Deligianni, D Ravi, GZ Yang arXiv preprint arXiv:1803.10813, 2018 | 57 | 2018 |
| Intelligent SDN traffic classification using deep learning: Deep-SDN A Malik, R de Fréin, M Al-Zeyadi, J Andreu-Perez 2020 2nd International Conference on Computer Communication and the Internet …, 2020 | 50 | 2020 |
| Multi-sensor fusion GZ Yang, J Andreu-Perez, X Hu, S Thiemjarus Body sensor networks, 301-354, 2014 | 49 | 2014 |
| Simpl_eClass: Simplified potential-free evolving fuzzy rule-based classifiers RD Baruah, P Angelov, J Andreu 2011 IEEE International Conference on Systems, Man, and Cybernetics, 2249-2254, 2011 | 42* | 2011 |
| Disparity in frontal lobe connectivity on a complex bimanual motor task aids in classification of operator skill level J Andreu-Perez, DR Leff, K Shetty, A Darzi, GZ Yang Brain connectivity 6 (5), 375-388, 2016 | 40 | 2016 |
| Recognition of patient groups with sleep related disorders using bio-signal processing and deep learning D Jarchi, J Andreu-Perez, M Kiani, O Vysata, J Kuchynka, A Prochazka, ... Sensors 20 (9), 2594, 2020 | 36 | 2020 |
| Symptoms of depersonalisation/derealisation disorder as measured by brain electrical activity: A systematic review A Salami, J Andreu-Perez, H Gillmeister Neuroscience & Biobehavioral Reviews 118, 524-537, 2020 | 35 | 2020 |
| A p300-based brain computer interface for smart home interaction through an anfis ensemble D Achanccaray, C Flores, C Fonseca, J Andreu-Perez 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-5, 2017 | 32 | 2017 |
| Fuzzy temporal convolutional neural networks in P300-based Brain–computer interface for smart home interaction CF Vega, J Quevedo, E Escandón, M Kiani, W Ding, J Andreu-Perez Applied Soft Computing 117, 108359, 2022 | 31 | 2022 |
| Deep learning towards intelligent vehicle fault diagnosis M Al-Zeyadi, J Andreu-Perez, H Hagras, C Royce, D Smith, P Rzonsowski, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 29 | 2020 |
| Developing fine-grained actigraphies for rheumatoid arthritis patients from a single accelerometer using machine learning J Andreu-Perez, L Garcia-Gancedo, J McKinnell, A Van der Drift, A Powell, ... Sensors 17 (9), 2113, 2017 | 29 | 2017 |
| Explainable artificial intelligence based analysis for interpreting infant fNIRS data in developmental cognitive neuroscience J Andreu-Perez, LL Emberson, M Kiani, ML Filippetti, H Hagras, S Rigato Communications biology 4 (1), 1077, 2021 | 28 | 2021 |
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