Items where Author is "Andreu-Perez, Javier"
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Fumanal-Idocin, Javier and Andreu-Perez, Javier (2024) Ex-Fuzzy: A library for symbolic explainable AI through fuzzy logic programming. Neurocomputing, 599. p. 128048. DOI https://doi.org/10.1016/j.neucom.2024.128048
Flores, Christian and Contreras, Marcelo and Macedo, Ichiro and Andreu-Perez, Javier (2024) Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32. pp. 3794-3803. DOI https://doi.org/10.1109/TNSRE.2024.3420960
Ramos-Cruz, Bruno and Andreu-Perez, Javier and MartĂnez, Luis (2024) The cybersecurity mesh: A comprehensive survey of involved artificial intelligence methods, cryptographic protocols and challenges for future research. Neurocomputing, 581. p. 127427. DOI https://doi.org/10.1016/j.neucom.2024.127427
Jamalifard, Mohammadreza and Andreu-Perez, Javier and Hagras, Hani and Martinez, Luis (2024) Fuzzy Norm-Explicit Product Quantization for Recommender Systems. IEEE Transactions on Fuzzy Systems, 32 (5). pp. 2987-2998. DOI https://doi.org/10.1109/tfuzz.2024.3365722 (In Press)
Fumanal-Idocin, Javier and Andreu-Perez, Javier and CordĂłn, Oscar and Hagras, Hani and Bustince, Humberto (2024) ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques. IEEE Transactions on Fuzzy Systems, 32 (4). pp. 1915-1926. DOI https://doi.org/10.1109/tfuzz.2023.3337878 (In Press)
Salami, Abbas and Andreu-Perez, Javier and Gillmeister, Helge (2024) Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores. Artificial Intelligence in Medicine, 149. p. 102755. DOI https://doi.org/10.1016/j.artmed.2023.102755
Fumanal-Idocin, Javier and Vidaurre, Carmen and Fernández, Javier and Gómez, Marisol and Andreu-Perez, Javier and Prashad, Mukesh and Bustince, Humberto (2024) Supervised Penalty-based Aggregation Applied to Motor-Imagery based Brain-Computer-Interface. Pattern Recognition, 145. p. 109924. DOI https://doi.org/10.1016/j.patcog.2023.109924
GutiĂ©rrez-SerafĂn, BenjamĂn and Andreu-Perez, Javier and PĂ©rez-Espinosa, Humberto and Paulmann, Silke and Ding, Weiping (2024) Toward assessment of human voice biomarkers of brain lesions through explainable deep learning. Biomedical Signal Processing and Control, 87B. p. 105457. DOI https://doi.org/10.1016/j.bspc.2023.105457
Gupta, Prashant K and Sharma, Deepak and Andreu-Perez, Javier (2023) A Perceptual Computing Approach for Learning Interpretable Unsupervised Fuzzy Scoring Systems. IEEE Transactions on Artificial Intelligence, 5 (8). pp. 3832-3844. DOI https://doi.org/10.1109/tai.2023.3333762
Chaudhary, Laxmi and Girdhar, Nancy and Sharma, Deepak and Andreu-Perez, Javier and Doucet, Antoine and Renz, Matthias (2023) A Review of Deep Learning Models for Twitter Sentiment Analysis: Challenges and Opportunities. IEEE Transactions on Computational Social Systems, 11 (3). pp. 3550-3579. DOI https://doi.org/10.1109/tcss.2023.3322002
Soheil, Shayegh and Andreu-Perez, Javier and Akoth, Caroline and Bosch-Capblanch, Xavier and Dasgupta, Shouro and Falchetta, Giacomo and Gregson, Simon and Hammad, Ahmed T and Herringer, Mark and Kapkea, Festus and Labella, Alvaro and Lisciotto, Luca and MartĂnez, Luis and Macharia, Peter M and Morales-Ruiz, Paulina and Murage, Njeri and Offeddu, Vittoria and South, Andy and Torbica, Aleksandra and Trentini, Filippo and Alessia, Melegaro (2023) Prioritizing COVID-19 vaccine allocation in resource poor settings: Towards an Artificial Intelligence-enabled and Geospatial-assisted decision support framework. PLoS One, 18 (8). e0275037-e0275037. DOI https://doi.org/10.1371/journal.pone.0275037
Kiani, Mehrin and Andreu-Perez, Javier and Hagras, Hani (2023) A Temporal Type-2 Fuzzy System for Time-dependent Explainable Artificial Intelligence. IEEE Transactions on Artificial Intelligence, 4 (3). pp. 573-586. DOI https://doi.org/10.1109/TAI.2022.3210895
Filippetti, Maria Laura and Andreu-Perez, Javier and De Klerk, Carina and Rigato, Silvia (2023) 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. NeuroImage, 265. p. 119756. DOI https://doi.org/10.1016/j.neuroimage.2022.119756
Gupta, Prashant K and Andreu-Perez, Javier (2022) Enhanced Type-2 Wang-Mendel Approach. Journal of Experimental and Theoretical Artificial Intelligence, 36 (7). pp. 1213-1238. DOI https://doi.org/10.1080/0952813X.2022.2135614
K. Gupta, Prashant and Andreu-Perez, Javier (2022) A Gentle Introduction and Survey on Computing with Words (CWW) Methodologies. Neurocomputing, 500. pp. 921-937. DOI https://doi.org/10.1016/j.neucom.2022.05.097
Gupta, Akshansh and Kumar, Dhirendra and Verma, Hanuman and Tanveer, M and Andreu-Perez, Javier and Lin, Chin-Teng and Prasad, Mukesh (2022) Recognition of multi-cognitive tasks from EEG signals using EMD methods. Neural Computing and Applications, 35 (31). pp. 22989-23006. DOI https://doi.org/10.1007/s00521-022-07425-9
Ding, Weiping and Feng, Zhihao and Andreu-Perez, Javier and Pedrycz, Witold (2022) Derived Multi-population Genetic Algorithm for Adaptive Fuzzy C-Means Clustering. Neural Processing Letters, 55 (3). pp. 2023-2047. DOI https://doi.org/10.1007/s11063-022-10876-9
Andreu-Perez, Javier and Perez-Espinosa, Humberto and Timonet, Eva and Kiani, Mehrin and Giron-Perez, Manuel Ivan and Benitez-Trinidad, Alma B and Jarchi, Delaram and Rosales, Alejandro and Gkatzoulis, Nick and Reyes-Galaviz, Orion F and Torres, Alejandro and Alberto Reyes-Garcia, Carlos and Ali, Zulfiqar and Rivas, Francisco (2022) A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels. IEEE Transactions on Services Computing, 15 (3). pp. 1220-1232. DOI https://doi.org/10.1109/tsc.2021.3061402
Salami, Abbas and Andreu-Perez, Javier and Gillmeister, Helge (2022) EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery Classification. IEEE Access, 10. pp. 36672-36685. DOI https://doi.org/10.1109/ACCESS.2022.3161489
Kiani, Mehrin and Andreu-Perez, Javier and Hagras, Hani and Papageorgiou, Elpiniki I and Prasad, Mukesh and Lin, Chin-Teng (2022) Effective Brain Connectivity for fNIRS with Fuzzy Cognitive Maps in Neuroergonomics. IEEE Transactions on Cognitive and Developmental Systems, 14 (1). pp. 50-63. DOI https://doi.org/10.1109/TCDS.2019.2958423
Vega, Christian Flores and Quevedo, Jonathan and EscandĂłn, Elmer and Kiani, Mehrin and Ding, Weiping and Andreu-Perez, Javier (2022) Fuzzy Temporal Convolutional Neural Networks in P300-based Brain-Computer Interface for Smart Home Interaction. Applied Soft Computing, 117. p. 108359. DOI https://doi.org/10.1016/j.asoc.2021.108359
Andreu-Perez, Javier and Hagras, Hani and Kiani, Mehrin and Rigato, Silvia and Filippetti, Maria Laura (2022) Towards Understanding Human Functional Brain Development with Explainable Artificial Intelligence: Challenges and Perspectives. IEEE Computational Intelligence Magazine, 17 (1). pp. 16-33. DOI https://doi.org/10.1109/MCI.2021.3129956
Perez-Espinosa, Humberto and Timonet-Andreu, Eva and Andreu-Perez, Javier (2021) Bias and privacy in AI's cough-based COVID-19 recognition. The Lancet Digital Health, 3 (12). e760-e760. DOI https://doi.org/10.1016/s2589-7500(21)00234-x
Gupta, Prashant K and Sharma, Deepak and Andreu-Perez, Javier (2021) Enhanced Linguistic Computational Models and Their similarity with Yager’s Computing with Words. Information Sciences, 574. pp. 259-278. DOI https://doi.org/10.1016/j.ins.2021.05.038
Andreu-Perez, Javier and Emberson, Lauren L and Kiani, Mehrin and Filippetti, Maria Laura and Hagras, Hani and Rigato, Silvia (2021) Explainable Artificial Intelligence Based Analysis for Developmental Cognitive Neuroscience. Communications Biology, 4 (1). 1077-. DOI https://doi.org/10.1038/s42003-021-02534-y
Chowdhury, Anirban and Andreu-Perez, Javier (2021) Clinical Brain-Computer Interface Challenge 2020 (CBCIC at WCCI2020): Overview, methods and results. IEEE Transactions on Medical Robotics and Bionics, 3 (3). pp. 661-670. DOI https://doi.org/10.1109/TMRB.2021.3098108
Ranjbar, Ehsan and Menhaj, Mohammad Bagher and Suratgar, Amir Abolfazl and Andreu-Perez, Javier and Prasad, Mukesh (2021) Design of a fuzzy PID controller for a MEMS tunable capacitor for noise reduction in a voltage reference source. SN Applied Sciences, 3 (6). DOI https://doi.org/10.1007/s42452-021-04585-6
Gupta, Akshansh and Agrawal, Ramesh Kumar and Kirar, Jyoti Singh and Andreu-Perez, Javier and Ding, Wei-Ping and Lin, Chin-Teng and Prasad, Mukesh (2021) On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI. IEEE Transactions on Systems Man and Cybernetics: Systems, 51 (5). pp. 3080-3092. DOI https://doi.org/10.1109/tsmc.2019.2917599
Andreu-Perez, Javier and Kiani, Mehrin (2021) Single-Trial Recognition of Video Gamer’s Expertise from Brain Haemodynamic and Facial Emotion Responses. Brain Sciences, 11 (1). p. 106. DOI https://doi.org/10.3390/brainsci11010106
Cortez, Sergio A and Flores, Christian and Andreu-Perez, Javier (2020) A Smart Home Control Prototype Using a P300-Based Brain–Computer Interface for Post-stroke Patients. In: Proceedings of the 5th Brazilian Technology Symposium, ? - ?.
Cortez, Sergio and Flores, Christian and Andreu-Perez, Javier (2020) Improving Speller BCI performance using a cluster-based under-sampling method. In: IEEE Symposium Series on Computational Intelligence, 2020-12-01 - 2020-12-04, Canberra. (In Press)
Salami, Abbas and Andreu-Perez, Javier and Gillmeister, Helge (2020) Towards Decoding of Depersonalisation Disorder Using EEG: A Time Series Analysis Using CDTW. In: IEEE Symposium Series on Computational Intelligence, 2020-12-01 - 2020-12-04, Canberra, Australia. (In Press)
Salami, Abbas and Andreu-Perez, Javier and Gillmeister, Helge (2020) Symptoms of depersonalisation/derealisation disorder as measured by brain electrical activity: A systematic review. Neuroscience and Biobehavioral Reviews, 118. pp. 524-537. DOI https://doi.org/10.1016/j.neubiorev.2020.08.011
Cortez, Sergio A and Flores, Christian and Andreu-Perez, Javier (2020) Single-trial P300 classification using deep belief networks for a BCI system. In: 2020 IEEE XXVII International Conference on Electronics, Electrical Engineering and Computing (INTERCON), 2020-09-03 - 2020-09-05.
Cortez, Sergio A and Flores Vega, Christian and Andreu-Perez, Javier (2020) Under-sampling and Classification of P300 Single-Trials using Self-Organized Maps and Deep Neural Networks for a Speller BCI. In: IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020-10-11 - 2020-10-14, Toronto/Online. (In Press)
Al-Zeyadi, Mohammed and Andreu-Perez, Javier and Hagras, Hani and Royce, Chris and Smith, Darren and Rzonsowski, Piotr and Malik, Ali (2020) Deep Learning Towards Intelligent Vehicle Fault Diagnosis. In: 2020 International Joint Conference on Neural Networks (IJCNN), 2020-07-19 - 2020-07-24, Glasgow.
Rozman, Josip and Hagras, Hani and Andreu-Perez, Javier and Clarke, Damien and Muller, Beate and Data, Steve Fitz (2020) Privacy-Preserving Gesture Recognition with Explainable Type-2 Fuzzy Logic Based Systems. In: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020-07-19 - 2020-07-24, Glasgow.
Kiani, Mehrin and Andreu-Perez, Javier and Hagras, Hani and Filippetti, Maria Laura and Rigato, Silvia (2020) A Type-2 Fuzzy Logic Based Explainable Artificial Intelligence System for Developmental Neuroscience. In: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020-07-19 - 2020-07-24, Glasgow.
Jarchi, Delaram and Andreu-Perez, Javier and Kiani, Mehrin and Vysata, Oldrich and Kuchynka, Jiri and Prochazka, Ales and Sanei, Saeid (2020) Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning. Sensors, 20 (9). p. 2594. DOI https://doi.org/10.3390/s20092594
Andreu-Perez, Javier (2020) Fuzzy learning and its applications in neural-engineering. Neurocomputing, 389. pp. 196-197. DOI https://doi.org/10.1016/j.neucom.2019.03.071
Akshansh, Gupta and R. K., Agrawal and Jyoti Singh, Kirar and Baljeet, Kaur and Weiping, Ding and Chin-Teng, Lin and Andreu-Perez, Javier and Mukesh, Prasad (2020) A Hierarchical Meta-model for Multi-Class Mental Task Based Brain-Computer Interfaces. Neurocomputing, 389. pp. 207-217. DOI https://doi.org/10.1016/j.neucom.2018.07.094
Andreu-Perez, Javier and Cao, Fan and Hagras, Hani and Yang, Guang (2018) A Self-Adaptive Online Brain Machine Interface of a Humanoid Robot through a General Type-2 Fuzzy Inference System. IEEE Transactions on Fuzzy Systems, 26 (1). pp. 101-116. DOI https://doi.org/10.1109/TFUZZ.2016.2637403
Andreu-Perez, Javier and Garcia-Gancedo, Luis and McKinnell, Jonathan and Van der Drift, Anniek and Powell, Adam and Hamy, Valentin and Keller, Thomas and Yang, Guang-Zhong (2017) Developing Fine-Grained Actigraphies for Rheumatoid Arthritis Patients from a Single Accelerometer Using Machine Learning. Sensors, 17 (9). p. 2113. DOI https://doi.org/10.3390/s17092113
Andreu-Perez, Javier and Leff, Daniel Richard and Shetty, Kunal and Darzi, Ara and Yang, Guang-Zhong (2016) Disparity in Frontal Lobe Connectivity on a Complex Bimanual Motor Task Aids in Classification of Operator Skill Level. Brain Connectivity, 6 (5). pp. 375-388. DOI https://doi.org/10.1089/brain.2015.0350