Items where Author is "Bird, JJ"
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BIRD, J.J. and LOTFI, A., 2024. Customer service chatbot enhancement with attention-based transfer learning. Knowledge-Based Systems, 301: 112293. ISSN 0950-7051
XING, Y., KAR, P., BIRD, J.J., SUMICH, A., CARPENTER VAN BARTHOLD, B., KNIGHT, A. and LOTFI, A., 2024. Exploring machine learning applications for biophilic art displays to promote health and well-being. In: PETRA '24: proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments. New York, NY: ACM. ISBN 9798400717604
BIRD, J.J., WRIGHT, D., SUMICH, A. and LOTFI, A., 2024. Generative AI in psychological therapy: perspectives on computational linguistics and large language models in written behaviour monitoring. In: PETRA '24: proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments. New York City: ACM, pp. 322-328. ISBN 9798400717604
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., 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
FALCON CARO, A., SHIRANI, S., FILIPE FERREIRA, J., BIRD, J.J. and SAEID SANEI, A., 2024. Formulation of common spatial patterns for multi-task hyperscanning BCI dataset. UNSPECIFIED.
BIRD, J.J., IHIANLE, I.K., MACHADO, P., BROWN, D.J. and LOTFI, A., 2023. A neuroevolution approach to keypoint-based sign language fingerspelling classification. In: Proceedings: 2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter). Piscataway: Institute of Electrical and Electronics Engineers, pp. 215-220. ISBN 9798350383829
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., 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., 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
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., 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
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., 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
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
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., 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., 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., 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., 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., 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., 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., 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
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
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
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.