Jordan J. Bird

发表

Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN

Anikó Ekárt, Cristiano Premebida, Jordan J. Bird, 2020, 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC).

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

Anikó Ekárt, Jordan J. Bird, Diego R. Faria, 2020, Sensors.

A Study on CNN Transfer Learning for Image Classification

Jordan J. Bird, Diego R. Faria, Mahbub Hussain, 2018, UKCI.

Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms

Elizabeth F. Wanner, Anikó Ekárt, Jordan J. Bird, 2020, Expert Syst. Appl..

Evolutionary Optimisation of Fully Connected Artificial Neural Network Topology

Anikó Ekárt, Jordan J. Bird, Christopher D. Buckingham, 2019 .

Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG

Anikó Ekárt, Jordan J. Bird, Diego R. Faria, 2020, IEEE Access.

A Study on Mental State Classification using EEG-based Brain-Machine Interface

Anikó Ekárt, Luis J. Manso, Jordan J. Bird, 2018, 2018 International Conference on Intelligent Systems (IS).

Phoneme aware speech recognition through evolutionary optimisation

Anikó Ekárt, Jordan J. Bird, Diego R. Faria, 2019, GECCO.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction pdf

Anikó Ekárt, Luis J. Manso, Jordan J. Bird, 2019, Complex..

From Simulation to Reality: CNN Transfer Learning for Scene Classification

Anikó Ekárt, Jordan J. Bird, Diego R. Faria, 2020, 2020 IEEE 10th International Conference on Intelligent Systems (IS).

Classification of EEG Signals Based on Image Representation of Statistical Features

Felipe Campelo, Jordan J. Bird, Diego R. Faria, 2019, UKCI.

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

Jordan J. Bird, Diego R. Faria, Pedro P. S. Ayrosa, 2020, ArXiv.

High Resolution Sentiment Analysis by Ensemble Classification

Anikó Ekárt, Jordan J. Bird, Christopher D. Buckingham, 2019, Advances in Intelligent Systems and Computing.

Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines pdf

Cristiano Premebida, George Vogiatzis, Jordan J. Bird, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network

Anikó Ekárt, Jordan J. Bird, Diego R. Faria, 2019, UKCI.

Probabilistic Object Classification using CNN ML-MAP layers pdf

Cristiano Premebida, Jordan J. Bird, Diego R. Faria, 2020, ArXiv.

Thumbs up, thumbs down: non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning

Anikó Ekárt, Jordan J. Bird, Eduardo Parente Ribeiro, 2020, Journal of Ambient Intelligence and Humanized Computing.

On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing

Anikó Ekárt, Jordan J. Bird, Diego R. Faria, 2019, ArXiv.

Accent classification in human speech biometrics for native and non-native english speakers

Anikó Ekárt, Jordan J. Bird, Diego R. Faria, 2019, PETRA.

Chatbot Interaction with Artificial Intelligence: human data augmentation with T5 and language transformer ensemble for text classification pdf

Jordan J. Bird, Diego R. Faria, Anik'o Ek'art, 2020, Journal of Ambient Intelligence and Humanized Computing.

On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing.

Anikó Ekárt, Jordan J. Bird, Diego R. Faria, 2019 .

Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation pdf

Luis J. Manso, Jordan J. Bird, Diego R. Faria, 2021, Scientia Horticulturae.

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

Jordan J. Bird, 2021, ArXiv.

Improving Customer Service Chatbots with Attention-based Transfer Learning

Jordan J. Bird, 2021 .

Electromyography Signal-Based Gesture Recognition for Human-Machine Interaction in Real-Time Through Model Calibration

Jordan J. Bird, Diego R. Faria, Michael Pritchard, 2021 .

Synthetic Biological Signals Machine-Generated by GPT-2 Improve the Classification of EEG and EMG Through Data Augmentation

Anikó Ekárt, Antonio Fratini, Jordan J. Bird, 2021, IEEE Robotics and Automation Letters.

Reducing Overconfidence Predictions in Autonomous Driving Perception

Jordan J. Bird, C. Premebida, D. Faria, 2022, IEEE Access.

Improving Customer Service Chatbots with Attention-based Transfer Learning

Jordan J. Bird, 2021, ArXiv.

EEG Wavelet Classification for Fall Detection with Genetic Programming

Jordan J. Bird, 2022, PETRA.

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

Jordan J. Bird, 2022, ArXiv.

Mental Emotional Sentiment Classification with an EEG-based Brain-machine Interface

Jordan J. Bird, D. Faria, 2018 .

Duration at high altitude influences the onset of arrhythmogenesis during apnea

Jordan J. Bird, Richard J. A. Wilson, T. Day, 2021, European Journal of Applied Physiology.

On the effects of pseudorandom and quantum-random number generators in soft computing

Jordan J. Bird, A. Ekárt, D. Faria, 2019, Soft Computing.

Thumbs up, thumbs down: non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning

Jordan J. Bird, A. Ekárt, D. Faria, 2020, Journal of Ambient Intelligence and Humanized Computing.

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

Jordan J. Bird, 2021, ArXiv.

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

Jordan J. Bird, Ahmad Lotfi, 2023, ArXiv.

A study on CNN image classification of EEG signals represented in 2D and 3D

Jordan J. Bird, Pedro P. S. Ayrosa, A. Ekárt, 2021, Journal of neural engineering.

Abstract—Preliminary results to a new approach for neurocognitive training on academic engagement and monitoring of attention levels in children with learning

Jordan J. Bird, Pedro P. S. Ayrosa, D. Faria, 2020 .

Fall compensation detection from EEG using neuroevolution and genetic hyperparameter optimisation

Jordan J. Bird, Ahmad Lotfi, 2023, Genetic Programming and Evolvable Machines.

Duration at high altitude influences the onset of arrhythmogenesis during apnea

Jordan J. Bird, S. van Diepen, C. Steinback, 2021, European Journal of Applied Physiology.

Probabilistic Object Classification using CNN ML-MAP layers

Jordan J. Bird, C. Premebida, D. Faria, 2020, ArXiv.

Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach

Anikó Ekárt, Cristiano Premebida, Jordan J. Bird, 2020, PloS one.

Writer-independent signature verification; Evaluation of robotic and generative adversarial attacks

Jordan J. Bird, Abdallah Naser, Ahmad Lotfi, 2023, Inf. Sci..

Preservation of Neurovascular Coupling to Cognitive Activity in Anterior Cerebrovasculature During Incremental Ascent to High Altitude.

Jordan J. Bird, T. Brutsaert, K. Heffernan, 2019, High altitude medicine & biology.

Affective Computing in Computer Vision: A Study on Facial Expression Recognition

Azhar Aulia Saputra, Jordan J. Bird, N. Kubota, 2022, 2022 13th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter).

Generating Synthetic Multispectral Images for Semantic Segmentation in Forestry Applications

Jordan J. Bird, David Portugal, Dominik Bittner, 2022 .

On the effects of pseudorandom and quantum-random number generators in soft computing

Jordan J. Bird, D. Faria, Anikó Ekárt, 2019, Soft Computing.