Items where Author is "Bird, JJ"

Journal article

FONTES, L., MACHADO, P., VINKEMEIER, D., YAHAYA, S., BIRD, J.J. and IHIANLE, I.K., 2024. Enhancing stress detection: a comprehensive approach through rPPG analysis and deep learning techniques. Sensors, 24 (4): 1096. ISSN 1424-8220

FALCON-CARO, A., SHIRANI, S., FERREIRA, J.F., BIRD, J.J. and SANEI, S., 2024. Formulation of common spatial patterns for multi-task hyperscanning BCI. IEEE Transactions on Biomedical Engineering. ISSN 0018-9294

BIRD, J.J. and LOTFI, A., 2024. CIFAKE: image classification and explainable identification of AI-generated synthetic images. IEEE Access. ISSN 2169-3536

BIRD, J.J., NASER, A. and LOTFI, A., 2023. Writer-independent signature verification; evaluation of robotic and generative adversarial attacks. Information Sciences, 633, pp. 170-181. ISSN 0020-0255

BIRD, J.J. and LOTFI, A., 2023. Fall compensation detection from EEG using neuroevolution and genetic hyperparameter optimisation. Genetic Programming and Evolvable Machines, 24 (1): 6. ISSN 1389-2576

BIRD, J.J., BARNES, C.M., MANSO, L.J., EKÁRT, A. and FARIA, D.R., 2022. Fruit quality and defect image classification with conditional GAN data augmentation. Scientia Horticulturae, 293: 110684. ISSN 0304-4238

MELOTTI, G., PREMEBIDA, C., BIRD, J.J., FARIA, D.R. and GONCALVES, N., 2022. Reducing overconfidence predictions in autonomous driving perception. IEEE Access, 10, pp. 54805-54821. ISSN 2169-3536

BIRD, J.J., EKÁRT, A. and FARIA, D.R., 2021. Chatbot Interaction with Artificial Intelligence: human data augmentation with T5 and language transformer ensemble for text classification. Journal of Ambient Intelligence and Humanized Computing. ISSN 1868-5137

BIRD, J.J., PRITCHARD, M., FRATINI, A., EKART, A. and FARIA, D.R., 2021. Synthetic biological signals machine-generated by GPT-2 improve the classification of EEG and EMG through data augmentation. IEEE Robotics and Automation Letters, 6 (2), pp. 3498-3504. ISSN 2377-3766

BIRD, J.J., FARIA, D.R., MANSO, L.J., AYROSA, P.P.S. and EKÁRT, A., 2021. A study on CNN image classification of EEG signals represented in 2D and 3D. Journal of Neural Engineering, 18 (2): 026005. ISSN 1741-2560

KOBYLARZ, J., BIRD, J.J., FARIA, D.R., RIBEIRO, E.P. and EKÁRT, A., 2020. Thumbs up, thumbs down: non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning. Journal of Ambient Intelligence and Humanized Computing, 11 (12), pp. 6021-6031. ISSN 1868-5137

BIRD, J.J., BARNES, C.M., PREMEBIDA, C., EKÁRT, A. and FARIA, D.R., 2020. Country-level pandemic risk and preparedness classification based on COVID-19 data: a machine learning approach. PLOS ONE, 15 (10): e0241332. ISSN 1932-6203

BIRD, J.J., EKÁRT, A. and FARIA, D.R., 2020. British Sign Language recognition via late fusion of computer vision and Leap Motion with transfer learning to American Sign Language. Sensors, 20 (18): 5151. ISSN 1424-8220

BIRD, J.J., WANNER, E., EKÁRT, A. and FARIA, D.R., 2020. Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms. Expert Systems with Applications, 153: 113402. ISSN 0957-4174

BIRD, J.J., EKÁRT, A. and FARIA, D.R., 2020. On the effects of pseudorandom and quantum-random number generators in soft computing. Soft Computing, 24 (12), pp. 9243-9256. ISSN 1432-7643

BIRD, J.J., KOBYLARZ, J., FARIA, D.R., EKÁRT, A. and RIBEIRO, E.P., 2020. Cross-domain MLP and CNN transfer learning for biological signal processing: EEG and EMG. IEEE Access, 8, pp. 54789-54801. ISSN 2169-3536

BIRD, J.J., FARIA, D.R., MANSO, L.J., EKÁRT, A. and BUCKINGHAM, C.D., 2019. A deep evolutionary approach to bioinspired classifier optimisation for brain-machine interaction. Complexity, 2019: 4316548. ISSN 1076-2787

Chapter in book

BIRD, J.J., BARNES, C.M. and LOTFI, A., 2024. AI generated art: latent diffusion-based style and detection. In: N. NAIK, P. JENKINS, P. GRACE, L. YANG and S. PRAJAPAT, eds., Advances in computational intelligence systems: contributions presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6–8, 2023, Birmingham, UK. Advances in Intelligent Systems and Computing (1453). Cham: Springer, pp. 157-169. ISBN 9783031475078

BIRD, J.J. and LOTFI, A., 2023. Generative transformer chatbots for mental health support: a study on depression and anxiety. In: PETRA '23: proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments. New York: ACM. ISBN 9798400700699

BIRD, J.J., SAPUTRA, A.A., KUBOTA, N. and LOTFI, A., 2022. Affective computing in computer vision: a study on facial expression recognition. In: Proceedings: 2022 13th International Congress on Advanced Applied Informatics Winter IIAI-AAI-Winter 2022. IEEE, pp. 84-88. ISBN 9798350309928

DOLOPIKOS, C., PRITCHARD, M., BIRD, J.J. and FARIA, D.R., 2021. Electromyography signal-based gesture recognition for human-machine interaction in real-time through model calibration. In: K. ARAI, ed., Advances in information and communication: proceedings of the 2021 Future of Information and Communication Conference (FICC), volume 2. Cham: Springer, pp. 898-914. ISBN 9783030731021

BIRD, J.J., FARIA, D.R., PREMEBIDA, C., EKÁRT, A. and VOGIATZIS, G., 2021. Look and listen: a multi-modality late fusion approach to scene classification for autonomous machines. In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. ISBN 9781728162133

BIRD, J.J., FARIA, D.R., EKÁRT, A. and AYROSA, P.P.S., 2020. From simulation to reality: CNN transfer learning for scene classification. In: 2020 IEEE 10th International Conference on Intelligent Systems (IS). IEEE. ISBN 9781728154572

BIRD, J.J., FARIA, D.R., PREMEBIDA, C., EKÁRT, A. and AYROSA, P.P.S., 2020. Overcoming data scarcity in speaker identification: dataset augmentation with synthetic MFCCs via character-level RNN. In: 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). IEEE. ISBN 9781728170794

ASHFORD, J., BIRD, J.J., CAMPELO, F. and FARIA, D.R., 2020. Classification of EEG signals based on image representation of statistical features. In: Z. JU, L. YANG, C. YANG, A. GEGOV and D. ZHOU, eds., Advances in computational intelligence systems: contributions presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, Portsmouth, UK. Advances in intelligent systems and computing (1043). Cham: Springer, pp. 449-460. ISBN 9783030299323

BIRD, J.J., EKÁRT, A. and FARIA, D.R., 2019. Phoneme aware speech synthesis via fine tune transfer learning with a Tacotron spectrogram prediction network. In: Z. JU, L. YANG, C. YANG, A. GEGOV and D. ZHOU, eds., Advances in computational intelligence systems: contributions presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, Portsmouth, UK. Cham: Springer, pp. 271-282. ISBN 9783030299323

BIRD, J.J., EKÁRT, A., BUCKINGHAM, C.D. and FARIA, D.R., 2019. Evolutionary optimisation of fully connected artificial neural network topology. In: K. ARAI, R. BHATIA and S. KAPOOR, eds., Intelligent computing: proceedings of the 2019 Computing Conference. Volume 1. Advances in intelligent systems and computing (997). Cham: Springer, pp. 751-762. ISBN 9783030228705

BIRD, J.J., EKÁRT, A., BUCKINGHAM, C.D. and FARIA, D.R., 2019. High resolution sentiment analysis by ensemble classification. In: K. ARAI, R. BHATIA and S. KAPOOR, eds., Intelligent computing: proceedings of the 2019 Computing Conference. Volume 1. Advances in intelligent systems and computing (997). Cham: Springer, pp. 593-606. ISBN 9783030228705

BIRD, J.J., EKÁRT, A. and FARIA, D.R., 2019. Learning from interaction: an intelligent networked-based human-bot and bot-bot chatbot system. In: A. LOTFI, H. BOUCHACHIA, A. GEGOV, C. LANGENSIEPEN and M. MCGINNITY, eds., Advances in computational intelligence systems: contributions presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. Advances in intelligent systems and computing (840). Cham: Springer, pp. 179-190. ISBN 9783319979816

HUSSAIN, M., BIRD, J.J. and FARIA, D.R., 2019. A study on CNN transfer learning for image classification. In: A. LOTFI, H. BOUCHACHIA, A. GEGOV, C. LANGENSIEPEN and M. MCGINNITY, eds., Advances in computational intelligence systems: contributions presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. Advances in intelligent systems and computing (840). Cham: Springer, pp. 191-202. ISBN 9783319979816

Conference contribution

BIRD, J.J., 2022. EEG wavelet classification for fall detection with genetic programming. In: PETRA '22: The15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June - 2 July 2022.

BITTNER, D., FERREIRA, J.F., ANDRADA, M.E., BIRD, J.J. and PORTUGAL, D., 2022. Generating synthetic multispectral images for semantic segmentation in forestry applications. In: Innovation in Forestry Robotics: Research and Industry Adoption Workshop - IEEE Conference on Robotics and Automation (ICRA 2022), Philadelphia (PA), USA, 23-27 May 2022.

BIRD, J.J., WANNER, E., EKÁRT, A. and FARIA, D.R., 2019. Phoneme aware speech recognition through evolutionary optimisation. In: GECCO '19: Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13-17 July 2019.

BIRD, J.J., WANNER, E., EKÁRT, A. and FARIA, D.R., 2019. Accent classification in human speech biometrics for native and non-native English speakers. In: PETRA '19: 12th PErvasive Technologies Related to Assistive Environments Conference, Rhodes, Greece, 5-7 July 2019.

BIRD, J.J., MANSO, L.J., RIBEIRO, E.P., EKART, A. and FARIA, D.R., 2018. A study on mental state classification using EEG-based brain-machine interface. In: 9th International Conference on Intelligent Systems (IS'18), Funchal, Madeira, Portugal, 25-27 September 2018.