A Study on Mental State Classification using EEG-based Brain-Machine Interface. - Jordan J. Bird; Luis J. Manso; Eduardo Parente Ribeiro; Anikó Ekárt; Diego R. Faria (IEEE Conf. on Intelligent Systems, 2018)

Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (UKCI, 2018)

A Study on CNN Transfer Learning for Image Classification. - Mahbub Hussain; Jordan J. Bird; Diego R. Faria (UKCI, 2018)

Phoneme aware speech recognition through evolutionary optimisation. - Jordan J. Bird; Elizabeth F. Wanner; Anikó Ekárt; Diego R. Faria (GECCO (Companion), 2019)

Accent classification in human speech biometrics for native and non-native english speakers. - Jordan J. Bird; Elizabeth F. Wanner; Anikó Ekárt; Diego R. Faria (PETRA, 2019)

Classification of EEG Signals Based on Image Representation of Statistical Features. - Jodie Ashford; Jordan J. Bird; Felipe Campelo; Diego R. Faria (UKCI, 2019)

Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (UKCI, 2019)

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction. - Jordan J. Bird; Diego R. Faria; Luis J. Manso; Anikó Ekárt; Christopher D. Buckingham (Complex., 2019)

On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (CoRR, 2019)

Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN. - Jordan J. Bird; Diego R. Faria; Cristiano Premebida; Anikó Ekárt; Pedro P. S. Ayrosa (ICARSC, 2020)

Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines. - Jordan J. Bird; Diego R. Faria; Cristiano Premebida; Anikó Ekárt; George Vogiatzis (IROS, 2020)

From Simulation to Reality: CNN Transfer Learning for Scene Classification. - Jordan J. Bird; Diego R. Faria; Anikó Ekárt; Pedro P. S. Ayrosa (IEEE Conf. on Intelligent Systems, 2020)

Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG. - Jordan J. Bird; Jhonatan Kobylarz; Diego R. Faria; Anikó Ekárt; Eduardo Parente Ribeiro (IEEE Access, 2020)

Probabilistic Object Classification using CNN ML-MAP layers. - Gledson Melotti; Cristiano Premebida; Jordan J. Bird; Diego R. Faria; Nuno Gonçalves 001 (CoRR, 2020)

LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity. - Jordan J. Bird; Diego R. Faria; Anikó Ekárt; Cristiano Premebida; Pedro P. S. Ayrosa (CoRR, 2020)

Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms. - Jordan J. Bird; Elizabeth F. Wanner; Anikó Ekárt; Diego R. Faria (Expert Syst. Appl., 2020)

Thumbs up, thumbs down: non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning. - Jhonatan Kobylarz; Jordan J. Bird; Diego R. Faria; Eduardo Parente Ribeiro; Anikó Ekárt (J. Ambient Intell. Humaniz. Comput., 2020)

British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (Sensors, 2020)

On the effects of pseudorandom and quantum-random number generators in soft computing. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (Soft Comput., 2020)

Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation. - Jordan J. Bird; Chloe M. Barnes; Luis J. Manso; Anikó Ekárt; Diego R. Faria (CoRR, 2021)

Continuation of Famous Art with AI: A Conditional Adversarial Network Inpainting Approach. - Jordan J. Bird (CoRR, 2021)

Improving Customer Service Chatbots with Attention-based Transfer Learning. - Jordan J. Bird (CoRR, 2021)

Synthetic Biological Signals Machine-Generated by GPT-2 Improve the Classification of EEG and EMG Through Data Augmentation. - Jordan J. Bird; Michael Pritchard; Antonio Fratini; Anikó Ekárt; Diego R. Faria (IEEE Robotics Autom. Lett., 2021)

Affective Computing in Computer Vision: A Study on Facial Expression Recognition. - Jordan J. Bird; Azhar Aulia Saputra; Naoyuki Kubota; Ahmad Lotfi (IIAI-AAI-Winter, 2022)

EEG Wavelet Classification for Fall Detection with Genetic Programming. - Jordan J. Bird (PETRA, 2022)

Reducing Overconfidence Predictions in Autonomous Driving Perception. - Gledson Melotti; Cristiano Premebida; Jordan J. Bird; Diego R. Faria; Nuno Gonçalves 001 (IEEE Access, 2022)

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

Robotic and Generative Adversarial Attacks in Offline Writer-independent Signature Verification. - Jordan J. Bird (CoRR, 2022)

A Neuroevolution Approach to Keypoint-Based Sign Language Fingerspelling Classification. - Jordan J. Bird; Isibor Kennedy Ihianle; Pedro Machado; David J. Brown; Ahmad Lotfi (IIAI-AAI-Winter, 2023)

Generative Transformer Chatbots for Mental Health Support: A Study on Depression and Anxiety. - Jordan J. Bird; Ahmad Lotfi (PETRA, 2023)

Explainable AI for Medical Image Processing: A Study on MRI in Alzheimer's Disease. - Linda M. Duamwan; Jordan J. Bird (PETRA, 2023)

Toward a holistic elderly-centred behaviour monitoring solution: Achievements and Opportunities. - Abdallah Naser; Ahmad Lotfi; Amir Pourabdollah; Jordan J. Bird (PETRA, 2023)

AI Generated Art: Latent Diffusion-Based Style and Detection. - Jordan J. Bird; Chloe M. Barnes; Ahmad Lotfi (UKCI, 2023)

Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion. - Jordan J. Bird; Ahmad Lotfi (CoRR, 2023)

FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision. - Ravidu Suien Rammuni Silva; Jordan J. Bird (CoRR, 2023)

Fall compensation detection from EEG using neuroevolution and genetic hyperparameter optimisation. - Jordan J. Bird; Ahmad Lotfi (Genet. Program. Evolvable Mach., 2023)

Chatbot Interaction with Artificial Intelligence: human data augmentation with T5 and language transformer ensemble for text classification. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (J. Ambient Intell. Humaniz. Comput., 2023)

Writer-independent signature verification; Evaluation of robotic and generative adversarial attacks. - Jordan J. Bird; Abdallah Naser; Ahmad Lotfi (Inf. Sci., 2023)

Distributed Beamforming for Localization of Brain Seizure Sources from Intracranial EEG Array. - Sepehr Shirani; Bahman Abdi-Sargezeh; Antonio Valentín; Gonzalo Alarcón; Delaram Jarchi; Jordan J. Bird; Saeid Sanei (EUSIPCO, 2024)

Generative AI in Psychological Therapy: Perspectives on Computational Linguistics and Large Language Models in Written Behaviour Monitoring. - Jordan J. Bird; David Wright; Alexander Sumich; Ahmad Lotfi (PETRA, 2024)

Exploring Machine Learning Applications for Biophilic Art Displays to Promote Health and Well-being. - Yangang Xing; Purna Kar; Jordan J. Bird; Alex Sumich; Benedict Carpenter van Barthold; Andrew Knight; Ahmad Lotfi (PETRA, 2024)

WeedScout: Real-Time Autonomous Blackgrass Classification and Mapping Using Dedicated Hardware. - Matthew Gazzard; Helen Hicks; Isibor Kennedy Ihianle; Jordan J. Bird; Md Mahmudul Hasan; Pedro Machado (TAROS (1), 2024)

Retrieval Augmented Large Language Model Chatbots in Higher Education: A Study on University Open Days. - Akash K. Shanthakumar; Farhad Fassihi Tash; Ahmad Lotfi; Jordan J. Bird (UKCI, 2024)

CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images. - Jordan J. Bird; Ahmad Lotfi (IEEE Access, 2024)

UDEEP: Edge-based Computer Vision for In-Situ Underwater Crayfish and Plastic Detection. - Dennis Monari; Jack Larkin; Pedro Machado; Jordan J. Bird; Isibor Kennedy Ihianle; Salisu Wada Yahaya; Farhad Fassihi Tash; Md Mahmudul Hasan; Ahmad Lotfi (CoRR, 2024)

A Deep Learning Method for Classification of Biophilic Artworks. - Purna Kar; Jordan J. Bird; Yangang Xing; Alexander Sumich; Andrew Knight; Ahmad Lotfi; Benedict Carpenter van Barthold (CoRR, 2024)

Enhancing Pollinator Conservation towards Agriculture 4.0: Monitoring of Bees through Object Recognition. - Ajay John Alex; Chloe M. Barnes; Pedro Machado; Isibor Kennedy Ihianle; Gábor Markó; Martin Bencsik; Jordan J. Bird (CoRR, 2024)

What Differentiates Educational Literature? A Multimodal Fusion Approach of Transformers and Computational Linguistics. - Jordan J. Bird (CoRR, 2024)

ArtBrain: An Explainable end-to-end Toolkit for Classification and Attribution of AI-Generated Art and Style. - Ravidu Suien Rammuni Silva; Ahmad Lotfi; Isibor Kennedy Ihianle; Golnaz Shahtahmassebi; Jordan J. Bird (CoRR, 2024)

Customer service chatbot enhancement with attention-based transfer learning. - Jordan J. Bird; Ahmad Lotfi (Knowl. Based Syst., 2024)

Enhancing Stress Detection: A Comprehensive Approach through rPPG Analysis and Deep Learning Techniques. - Laura Fontes; Pedro Machado; Doratha Vinkemeier; Salisu Wada Yahaya; Jordan J. Bird; Isibor Kennedy Ihianle (Sensors, 2024)

Formulation of Common Spatial Patterns for Multi-Task Hyperscanning BCI. - Alicia Falcon-Caro; Sepehr Shirani; João Filipe Ferreira; Jordan J. Bird; Saeid Sanei (IEEE Trans. Biomed. Eng., 2024)

Do Interictal Epileptiform Discharges and Brain Responses to Electrical Stimulation Come From the Same Location? An Advanced Source Localization Solution. - Sepehr Shirani; Bahman Abdi-Sargezeh; Antonio Valentín; Gonzalo Alarcón; Jordan J. Bird; Saeid Sanei (IEEE Trans. Biomed. Eng., 2024)

Enhancing pollinator conservation: Monitoring of bees through object recognition. - Ajay John Alex; Chloe M. Barnes; Pedro Machado; Isibor Kennedy Ihianle; Gábor Markó; Martin Bencsik; Jordan J. Bird (Comput. Electron. Agric., 2025)

Bearded Dragon Activity Recognition Pipeline: An AI-Based Approach to Behavioural Monitoring. - Arsen Yermukan; Pedro Machado; Feliciano Domingos; Isibor Kennedy Ihianle; Jordan J. Bird; Stefano S. K. Kaburu; Samantha J. Ward (CoRR, 2025)