Publications

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Bird, Jordan James (2021). A Socially Interactive Multimodal Human-Robot Interaction Framework through Studies on Machine and Deep Learning. PhD thesis, Aston University.

Journal Articles

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 Machines24(1), 6.

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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

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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 Horticulturae293, 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 Letters6(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 Engineering18(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. Sensors20(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 Computing2019. 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. Complexity2019. vol. 2019, Article ID 4316548, 14 pages, 2019. https://doi.org/10.1155/2019/4316548.

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Conferences and Proceedings

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.

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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.

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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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Preprints

Preprints and early-stage research may not have been peer reviewed yet.

CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images

Bird, J. J. & Lotfi, A. (2023). CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images. arXiv preprint arXiv:2303.14126.

Robotic and Generative Adversarial Attacks in Offline Writer-independent Signature Verification

Bird, J. J. (2022). Robotic and Generative Adversarial Attacks in Offline Writer-independent Signature Verification. arXiv preprint arXiv:2204.07246.

Statistical and Spatio-temporal Hand Gesture Features for Sign Language Recognition using the Leap Motion Sensor

Bird, J. J. (2022). Statistical and Spatio-temporal Hand Gesture Features for Sign Language Recognition using the Leap Motion Sensor. arXiv preprint arXiv:2202.11005.

Improving Customer Service Chatbots with Attention-based Transfer Learning

Bird, J. J. (2021). Improving Customer Service Chatbots with Attention-based Transfer Learning. arXiv preprint arXiv:2111.14621.

Continuation of Famous Art with AI: A Conditional Adversarial Network Inpainting Approach

Bird, J. J. (2021). Continuation of Famous Art with AI: A Conditional Adversarial Network Inpainting Approach. arXiv preprint arXiv:2110.09170.

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. (2021). Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation. arXiv preprint arXiv:2104.05647.

British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language

Bird, J. J., Ekart, 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. Preprints 2020, 2020080209 (doi: 10.20944/preprints202008.0209.v1)

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. arXiv preprint arXiv:2007.10175.

LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity

Bird, J.J., Faria, D.R., Ekárt, A., Premebida, C. and Ayrosa, P.P., 2020. LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity. arXiv preprint arXiv:2007.00659.

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. arXiv preprint arXiv:2005.14565.

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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