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https://orcid.org/0000-0002-9858-1231Journal Articles
Enhancing Pollinator Conservation: Monitoring of Bees through Object Recognition
Alex, A.J., Barnes, C.M., Machado, P., Ihianle, I., Markó, G., Bencsik, M. and Bird, J.J., 2025. Enhancing pollinator conservation: Monitoring of bees through object recognition. Computers and Electronics in Agriculture, 228, p.109665.
Developing an AI-Based Digital Biophilic Art Curation to Enhance Mental Health in Intelligent Buildings
Xing, Y., Kar, P., Bird, J.J., Sumich, A., Knight, A., Lotfi, A. and Carpenter van Barthold, B., (2024). Developing an AI-Based Digital Biophilic Art Curation to Enhance Mental Health in Intelligent Buildings. Sustainability, 16(22), p.9790.
Customer Service Chatbot Enhancement with Attention-based Transfer Learning
Bird, J.J. and Lotfi, A., (2024). Customer service chatbot enhancement with attention-based transfer learning. Knowledge-Based Systems, p.112293.
Do Interictal Epileptiform Discharges and Brain Responses to Electrical Stimulation Come from the Same Location? An Advanced Source Localization Solution
Shirani, S., Abdi-Sargezeh, B., Valentin, A., Alarcon, G., Bird, J. and Sanei, S., (2024). Do Interictal Epileptiform Discharges and Brain Responses to Electrical Stimulation Come from the Same Location? An Advanced Source Localization Solution. IEEE Transactions on Biomedical Engineering.
CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images
Bird, J.J. and Lotfi, A., (2024). CIFAKE: Image Classification and Explainable Identification of AI-generated Synthetic Images. IEEE Access.
Enhancing Stress Detection: A Comprehensive Approach through rPPG Analysis and Deep Learning Techniques
Fontes, L., Machado, P., Vinkemeier, D., Yahaya, S., Bird, J.J., Ihianle, I.K. (2024) Enhancing Stress Detection: A Comprehensive Approach through rPPG Analysis and Deep Learning Techniques. Sensors, 24, 1096.
Formulation of Common Spatial Patterns for Multi-task Hyperscanning BCI
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.
Fall compensation detection from EEG using Neuroevolution and Genetic Hyperparameter Optimisation
Bird, J. J., & Lotfi, A. (2023). Fall Compensation Detection from EEG using Neuroevolution and Genetic Hyperparameter Optimisation. Genetic Programming and Evolvable Machines, 24(1), 6.
Writer-independent Signature Verification; Evaluation of Robotic and Generative Adversarial Attacks
Bird, J. J., Naser, A., & Lotfi, A. (2023). Writer-independent Signature Verification; Evaluation of Robotic and Generative Adversarial Attacks. Information Sciences. doi:10.1016/j.ins.2023.03.029
Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation
Bird, J. J., Barnes, C. M., Manso, L. J., Ekárt, A., & Faria, D. R. (2022). Fruit quality and defect image classification with conditional GAN data augmentation. Scientia Horticulturae, 293, 110684.
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Chatbot Interaction with Artificial Intelligence: Human Data Augmentation with T5 and Language Transformer Ensemble for Text Classification
Bird, J. J., Ekárt, A., & 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, 1-16.
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Synthetic Biological Signals Machine-generated by GPT-2 improve the Classification of EEG and EMG through Data Augmentation
Bird, J. J., Pritchard, M., Fratini, A., Ekárt, A., & 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), 3498-3504.
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A study on CNN image classification of EEG Signals represented in 2D and 3D
Bird, J. J., Faria, D. R., Manso, L. J., Ayrosa, P. P., & Ekart, A. (2021). A study on CNN image classification of EEG signals represented in 2D and 3D. Journal of Neural Engineering, 18(2), 026005.
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British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language
Bird, J. J., Ekárt, A., & 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.
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Towards AI-based Interactive Game Intervention to Monitor Concentration Levels in Children with Attention Deficit
Faria, D. R., Bird, J. J., Daquana, C., Kobylarz, J., & Ayrosa, P. P. (2020). Towards AI-based Interactive Game Intervention to Monitor Concentration Levels in Children with Attention Deficit. International Journal of Information and Education Technology, 10(9).
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Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms
Bird, J. J., Wanner, E., Ekárt, A., and Faria, D.R. Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms. Expert Systems with Applications, p. 113402, 2020. https://doi.org/10.1016/j.eswa.2020.113402
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Cross-domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG
Bird, J.J., Kobylarz, J., Faria, D.R., Ekárt, A., Ribeiro, E.P. Cross-domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG. IEEE ACCESS. 2020. https://doi.org/10.1109/ACCESS.2020.2979074
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Thumbs up, thumbs down: non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning
Kobylarz, J., Bird, J.J., Faria, D.R., Ribeiro, E.P, Ekárt, A.. 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. 2020. https://doi.org/10.1007/s12652-020-01852-z
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On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing
Bird, J. J., Ekárt, A., & Faria, D. R. (2019). On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing. Soft Computing, 2019. Springer, 16 pages, 2019.
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A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction
Bird, J. J., Faria, D. R., Manso, L. J., Ekárt, A., & Buckingham, C. D. (2019). A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction. Complexity, 2019. vol. 2019, Article ID 4316548, 14 pages, 2019. https://doi.org/10.1155/2019/4316548.
Conferences and Proceedings
Retrieval Augmented Large Language Model Chatbots in Higher Education: A Study on University Open Days
Shanthakumar, A.K., Fassihi-Tash, F., Lotfi, A. and Bird, J.J., 2024, September. Retrieval Augmented Large Language Model Chatbots in Higher Education: A Study on University Open Days. In UK Workshop on Computational Intelligence (pp. 32-44). Cham: Springer Nature Switzerland.
Distributed Beamforming for Localization of Brain Seizure Sources from Intracranial EEG Array
Shirani, S., Abdi-Sargezeh, B., Valentin, A., Alarcon, G., Jarchi, D., Bird, J. and Sanei, S., 2024, August. Distributed Beamforming for Localization of Brain Seizure Sources from Intracranial EEG Array. In 2024 32nd European Signal Processing Conference (EUSIPCO) (pp. 1117-1121). IEEE.
WeedScout: Real-Time Autonomous Blackgrass Classification and Mapping using Dedicated Hardware
Gazzard, M., Hicks, H., Ihianle, I.K., Bird, J.J., Hasan, M.M. and Machado, P., (2024), September. WeedScout: Real-Time Autonomous blackgrass Classification and Mapping using dedicated hardware. In Annual Conference Towards Autonomous Robotic Systems (pp. 409-421). Cham: Springer Nature Switzerland.
Generative AI in Psychological Therapy: Perspectives on Computational Linguistics and Large Language Models in Written Behaviour Monitoring
Bird, J.J., Wright, D., Sumich, A. and Lotfi, A., (2024), June. Generative AI in Psychological Therapy: Perspectives on Computational Linguistics and Large Language Models in Written Behaviour Monitoring. In Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 322-328).
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Exploring Machine Learning Applications for Biophilic Art Displays to Promote Health and Well-being
Xing, Y., Kar, P., J. Bird, J., Sumich, A., Carpenter Van Barthold, B., Knight, A. and Lotfl, A., (2024), June. Exploring Machine Learning Applications for Biophilic Art Displays to Promote Health and Well-being. In Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 329-336).
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AI Generated Art: Latent Diffusion-Based Style and Detection
Bird, J.J., Barnes, C.M., Lotfi, A. (2024). AI Generated Art: Latent Diffusion-Based Style and Detection. In: Naik, N., Jenkins, P., Grace, P., Yang, L., Prajapat, S. (eds) Advances in Computational Intelligence Systems. UKCI 2023. Advances in Intelligent Systems and Computing, vol 1453. Springer, Cham. https://doi.org/10.1007/978-3-031-47508-5_13
Best Paper Award at UKCI2023
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Generative Transformer Chatbots for Mental Health Support: A Study on Depression and Anxiety
Bird, J. J., & Lotfi, A. (2023). Generative Transformer Chatbots for Mental Health Support: A Study on Depression and Anxiety. Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 475–479. Presented at Corfu, Greece. doi: https://doi.org/10.1145/3594806.3596520
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Explainable AI for Medical Image Processing: A Study on MRI in Alzheimer’s Disease
Duamwan, L. M., & Bird, J. J. (2023). Explainable AI for Medical Image Processing: A Study on MRI in Alzheimer’s Disease. Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 480–484. Presented at Corfu, Greece. doi: https://doi.org/10.1145/3594806.3596521
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Toward a Holistic Elderly-Centred Behaviour Monitoring Solution: Achievements and Opportunities
Naser, A., Lotfi, A., Pourabdollah, A., & Bird, J. (2023). Toward a Holistic Elderly-Centred Behaviour Monitoring Solution: Achievements and Opportunities. Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 491–496. Presented at Corfu, Greece. doi: https://doi.org/10.1145/3594806.3596565
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Affective Computing in Computer Vision: A Study on Facial Expression Recognition
Bird, J. J., Saputra, A. A., Kubota, N., & Lotfi, A. (2022, December). Affective Computing in Computer Vision: A Study on Facial Expression Recognition. In 2022 13th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter) (pp. 84-88). IEEE.
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EEG Wavelet Classification for Fall Detection with Genetic Programming
Bird, J. J. (2022, June). EEG Wavelet Classification for Fall Detection with Genetic Programming. In Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 376-382).
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Electromyography Signal-based Gesture Recognition for Human-Machine Interaction in Real-Time through Model Calibration
Dolopikos, C., Pritchard, M., Bird, J. J., & Faria, D. R. (2021). Electromyography Signal-based Gesture Recognition for Human-Machine Interaction in Real-Time through Model Calibration. Future of Information and Communications Conference (FICC). SAI.
Probabilistic Object Classification using CNN ML-MAP layers
Melotti, G., Premebida, C., Bird, J.J., Faria, D.R. and Gonçalves, N., (2020). Probabilistic Object Classification using CNN ML-MAP layers. The 16th European Conference on Computer Vision (ECCV’20). Springer.
Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines
Bird, J. J., Faria, D. R., Premebida, C., Ekárt, A., & Vogiatzis, G. (2020). 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) (pp. 10380-10385). IEEE.
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Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN
Bird, J. J., Faria, D. R., Premebida, C., Ekart, A., & Ayrosa, P. P. S. (2020). Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN. The 20th IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC’2020). IEEE.
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From Simulation to Reality: CNN Transfer Learning for Scene Classification
Bird, J. J., Faria, D. R., Ayrosa, P. P. S., & Ekart, A. (2020). From Simulation to Reality: CNN Transfer Learning for Scene Classification. 10th International Conference on Intelligent Systems. IEEE.
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Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network
Bird, J. J., Ekart, A., & Faria, D. R. (2019). Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network. 19th Annual UK Workshop on Computational Intelligence (UKCI).
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Classification of EEG Signals Based on Image Representation of Statistical Features
Ashford, J., Bird, J. J., Campelo, F., & Faria, D. R. (2019). Classification of EEG Signals Based on Image Representation of Statistical Features. 19th Annual UK Workshop on Computational Intelligence (UKCI).
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Accent Classification in Human Speech Biometrics for Native and Non-native English Speakers
Bird, J. J., Wanner, E. F., Ekart, A., & Faria, D. R. (2019). Accent Classification in Human Speech Biometrics for Native and Non-native English Speakers. PErvasive Technologies Related to Assistive Environments (PETRA’19).
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High Resolution Sentiment Analysis by Ensemble Classification
Bird, J. J., Ekart, A., Buckingham, C, D & Faria, D. R. (2019). High Resolution Sentiment Analysis by Ensemble Classification. SAI Computing Conference 2019.
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Evolutionary Optimisation of Fully Connected Artificial Neural Network Topology
Bird, J. J., Ekart, A., Buckingham, C, D & Faria, D. R. (2019). Evolutionary Optimisation of Fully Connected Artificial Neural Network Topology. SAI Computing Conference 2019.
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Mental Emotional Sentiment Classification with an EEG-based Brain-machine Interface
Bird, J. J., Ekart, A., Buckingham, C, D & Faria, D. R. (2019). Mental Emotional Sentiment Classification with an EEG-based Brain-machine Interface. The International Conference on Digital Image & Signal Processing (DISP’19).
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A Study on Mental State Classification using EEG-based Brain-Machine Interface
Bird, J. J., Manso, L. J., Ribiero, E., P., Ekart, A., & Faria, D. R. (2018). A Study on Mental State Classification using EEG-based Brain-Machine Interface. 9th International Conference on Intelligent Systems. IEEE.
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Learning from Interaction: An Intelligent Networked based Human-bot and Bot-bot Chatbot System
Bird, J. J., Ekart, A., & Faria, D. R. (2018). Learning from Interaction: An Intelligent Networked based Human-bot and Bot-bot Chatbot System. Advances in Intelligent Systems and Computing. Springer.
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A Study on CNN Transfer Learning for Image Classification
Hussain, M., Bird, J. J., & Faria, D. R. (2018). A Study on CNN Transfer Learning for Image Classification. Advances in Intelligent Systems and Computing. Springer.
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Poster Papers
Phoneme Aware Speech Recognition through Evolutionary Optimisation
Bird, J. J., Wanner, E. F., Ekart, A., & Faria, D. R. (2019). Phoneme Aware Speech Recognition through Evolutionary Optimisation. GECCO: The Genetic and Evolutionary Computation Conference 2019.
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