Items where Author is "Ekárt, A"

Journal article

BIRD, J.J., BARNES, C.M., MANSO, L.J., EKÁRT, A. and FARIA, D.R., 2022. Fruit quality and defect image classification with conditional GAN data augmentation. Scientia Horticulturae, 293: 110684. ISSN 0304-4238

BIRD, J.J., EKÁRT, A. and 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. ISSN 1868-5137

BIRD, J.J., FARIA, D.R., MANSO, L.J., AYROSA, P.P.S. and EKÁRT, A., 2021. A study on CNN image classification of EEG signals represented in 2D and 3D. Journal of Neural Engineering, 18 (2): 026005. ISSN 1741-2560

KOBYLARZ, J., BIRD, J.J., FARIA, D.R., RIBEIRO, E.P. and EKÁRT, A., 2020. 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, 11 (12), pp. 6021-6031. ISSN 1868-5137

BIRD, J.J., BARNES, C.M., PREMEBIDA, C., EKÁRT, A. and FARIA, D.R., 2020. Country-level pandemic risk and preparedness classification based on COVID-19 data: a machine learning approach. PLOS ONE, 15 (10): e0241332. ISSN 1932-6203

BIRD, J.J., EKÁRT, A. and 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. ISSN 1424-8220

BIRD, J.J., WANNER, E., EKÁRT, A. and FARIA, D.R., 2020. Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms. Expert Systems with Applications, 153: 113402. ISSN 0957-4174

BIRD, J.J., EKÁRT, A. and FARIA, D.R., 2020. On the effects of pseudorandom and quantum-random number generators in soft computing. Soft Computing, 24 (12), pp. 9243-9256. ISSN 1432-7643

BIRD, J.J., KOBYLARZ, J., FARIA, D.R., EKÁRT, A. and RIBEIRO, E.P., 2020. Cross-domain MLP and CNN transfer learning for biological signal processing: EEG and EMG. IEEE Access, 8, pp. 54789-54801. ISSN 2169-3536

BIRD, J.J., FARIA, D.R., MANSO, L.J., EKÁRT, A. and BUCKINGHAM, C.D., 2019. A deep evolutionary approach to bioinspired classifier optimisation for brain-machine interaction. Complexity, 2019: 4316548. ISSN 1076-2787

Chapter in book

BIRD, J.J., FARIA, D.R., PREMEBIDA, C., EKÁRT, A. and VOGIATZIS, G., 2021. 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). IEEE. ISBN 9781728162133

BIRD, J.J., FARIA, D.R., EKÁRT, A. and AYROSA, P.P.S., 2020. From simulation to reality: CNN transfer learning for scene classification. In: 2020 IEEE 10th International Conference on Intelligent Systems (IS). IEEE. ISBN 9781728154572

BIRD, J.J., FARIA, D.R., PREMEBIDA, C., EKÁRT, A. and AYROSA, P.P.S., 2020. Overcoming data scarcity in speaker identification: dataset augmentation with synthetic MFCCs via character-level RNN. In: 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). IEEE. ISBN 9781728170794

BIRD, J.J., EKÁRT, A. and FARIA, D.R., 2019. Phoneme aware speech synthesis via fine tune transfer learning with a Tacotron spectrogram prediction network. In: Z. JU, L. YANG, C. YANG, A. GEGOV and D. ZHOU, eds., Advances in computational intelligence systems: contributions presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, Portsmouth, UK. Cham: Springer, pp. 271-282. ISBN 9783030299323

BIRD, J.J., EKÁRT, A., BUCKINGHAM, C.D. and FARIA, D.R., 2019. Evolutionary optimisation of fully connected artificial neural network topology. In: K. ARAI, R. BHATIA and S. KAPOOR, eds., Intelligent computing: proceedings of the 2019 Computing Conference. Volume 1. Advances in intelligent systems and computing (997). Cham: Springer, pp. 751-762. ISBN 9783030228705

BIRD, J.J., EKÁRT, A., BUCKINGHAM, C.D. and FARIA, D.R., 2019. High resolution sentiment analysis by ensemble classification. In: K. ARAI, R. BHATIA and S. KAPOOR, eds., Intelligent computing: proceedings of the 2019 Computing Conference. Volume 1. Advances in intelligent systems and computing (997). Cham: Springer, pp. 593-606. ISBN 9783030228705

BIRD, J.J., EKÁRT, A. and FARIA, D.R., 2019. Learning from interaction: an intelligent networked-based human-bot and bot-bot chatbot system. In: A. LOTFI, H. BOUCHACHIA, A. GEGOV, C. LANGENSIEPEN and M. MCGINNITY, eds., Advances in computational intelligence systems: contributions presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. Advances in intelligent systems and computing (840). Cham: Springer, pp. 179-190. ISBN 9783319979816

Conference contribution

BIRD, J.J., WANNER, E., EKÁRT, A. and FARIA, D.R., 2019. Phoneme aware speech recognition through evolutionary optimisation. In: GECCO '19: Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13-17 July 2019.

BIRD, J.J., WANNER, E., EKÁRT, A. and FARIA, D.R., 2019. Accent classification in human speech biometrics for native and non-native English speakers. In: PETRA '19: 12th PErvasive Technologies Related to Assistive Environments Conference, Rhodes, Greece, 5-7 July 2019.