Jordan J. Bird
Title
Cited by
Cited by
Year
A study on cnn transfer learning for image classification
M Hussain, JJ Bird, DR Faria
UK Workshop on computational Intelligence, 191-202, 2018
972018
A study on mental state classification using eeg-based brain-machine interface
JJ Bird, LJ Manso, EP Ribeiro, A Ekart, DR Faria
2018 International Conference on Intelligent Systems (IS), 795-800, 2018
362018
A deep evolutionary approach to bioinspired classifier optimisation for brain-machine interaction
JJ Bird, DR Faria, LJ Manso, A Ekárt, CD Buckingham
Complexity 2019, 2019
192019
Mental emotional sentiment classification with an eeg-based brain-machine interface
JJ Bird, A Ekart, CD Buckingham, DR Faria
Proceedings of theInternational Conference on Digital Image and Signal …, 2019
192019
Evolutionary optimisation of fully connected artificial neural network topology
JJ Bird, A Ekárt, CD Buckingham, DR Faria
Intelligent Computing-Proceedings of the Computing Conference, 751-762, 2019
142019
Cross-domain MLP and CNN transfer learning for biological signal processing: EEG and EMG
JJ Bird, J Kobylarz, DR Faria, A Ekárt, EP Ribeiro
IEEE Access 8, 54789-54801, 2020
122020
Learning from interaction: An intelligent networked-based human-bot and bot-bot chatbot system
JJ Bird, A Ekárt, DR Faria
UK Workshop on Computational Intelligence, 179-190, 2018
112018
Thumbs up, thumbs down: non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning
J Kobylarz, JJ Bird, DR Faria, EP Ribeiro, A Ekárt
Journal of Ambient Intelligence and Humanized Computing 11 (12), 6021-6031, 2020
82020
On the effects of pseudorandom and quantum-random number generators in soft computing
JJ Bird, A Ekárt, DR Faria
Soft Computing 24 (12), 9243-9256, 2020
62020
Phoneme aware speech recognition through evolutionary optimisation
JJ Bird, E Wanner, A Ekárt, DR Faria
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
62019
Advances in computational intelligence systems
M Hussain, JJ Bird, DR Faria
UKCI, 2018
62018
British sign language recognition via late fusion of computer vision and leap motion with transfer learning to american sign language
JJ Bird, A Ekárt, DR Faria
Sensors 20 (18), 5151, 2020
52020
High resolution sentiment analysis by ensemble classification
JJ Bird, A Ekárt, CD Buckingham, DR Faria
Intelligent Computing-Proceedings of the Computing Conference, 593-606, 2019
52019
Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms
JJ Bird, E Wanner, A Ekárt, DR Faria
Expert Systems with Applications 153, 113402, 2020
42020
Classification of eeg signals based on image representation of statistical features
J Ashford, JJ Bird, F Campelo, DR Faria
UK Workshop on Computational Intelligence, 449-460, 2019
32019
Synthetic Biological Signals Machine-generated by GPT-2 improve the Classification of EEG and EMG through Data Augmentation
JJ Bird, M Pritchard, A Fratini, A Ekárt, DR Faria
IEEE Robotics and Automation Letters 6 (2), 3498-3504, 2021
22021
Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach
JJ Bird, CM Barnes, C Premebida, A Ekárt, DR Faria
Plos one 15 (10), e0241332, 2020
22020
From simulation to reality: Cnn transfer learning for scene classification
JJ Bird, DR Faria, A Ekárt, PPS Ayrosa
2020 IEEE 10th International Conference on Intelligent Systems (IS), 619-625, 2020
22020
Look and listen: A multi-modality late fusion approach to scene classification for autonomous machines
JJ Bird, DR Faria, C Premebida, A Ekárt, G Vogiatzis
arXiv preprint arXiv:2007.10175, 2020
22020
Overcoming data scarcity in speaker identification: Dataset augmentation with synthetic mfccs via character-level rnn
JJ Bird, DR Faria, C Premebida, A Ekárt, PPS Ayrosa
2020 IEEE International Conference on Autonomous Robot Systems and …, 2020
22020
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