Publications
Recent publications by members of the research group. To see a full list of publications for any individual, view their research profile.
- Wang, H, Cui, Z, Liu, R, Fang, L, Chen, J & Sha, Y 2023, 'A multi-type transferable method for missing link prediction in heterogeneous social networks', IEEE Transactions on Knowledge and Data Engineering, vol. Early Access, 10004751. https://doi.org/10.1109/TKDE.2022.3233481
- Moreno Rocha, MA, Nacenta, MA & Ye, J 2022, 'An exploratory study on academic reading contexts, technology, and strategies', Paper presented at 8th Mexican Conference on Human-Computer Interaction, 1/12/21 - 3/12/21. https://doi.org/10.1145/3492724.3492727
- Wang, Y, Ye, J & Borchers, DL 2022, 'Automated call detection for acoustic surveys with structured calls of varying length', Methods in Ecology and Evolution, vol. 13, no. 7, pp. 1552-1567. https://doi.org/10.1111/2041-210X.13873
- Jiang, A, Nacenta, MA & Ye, J 2022, 'VisuaLizations As Intermediate Representations (VLAIR): an approach for applying deep learning-based computer vision to non-image-based data', Visual Informatics, vol. 6, no. 3, pp. 35-50. https://doi.org/10.1016/j.visinf.2022.05.001
- Dobson, SA 2022, 'epyc: computational experiment management in Python', Journal of Open Source Software, vol. 7, no. 72, 03764. https://doi.org/10.21105/joss.03764
- Fang, L, Liu, X, Su, X, Ye, J, Dobson, S, Hui, P & Tarkoma, S 2021, Bayesian inference federated learning for heart rate prediction. in J Ye, MJ O'Grady, G Civitarese & K Yordanova (eds), Wireless Mobile Communication and Healthcare: 9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, 2020, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 362 LNICST, Springer, Cham, pp. 116-130. https://doi.org/10.1007/978-3-030-70569-5_8
- Civitarese, G, Ye, J, Zampatti, M & Bettini, C 2021, 'Collaborative activity recognition with heterogeneous activity sets and privacy preferences', Journal of Ambient Intelligence and Smart Environments, vol. 13, no. 6, pp. 433-452. https://doi.org/10.3233/ais-210018
- Ye, J, Nakwijit, P, Schiemer, M, Jha, S & Zambonelli, F 2021, 'Continual activity recognition with generative adversarial networks', ACM Transactions on Internet of Things, vol. 2, no. 2, 9, pp. 1-25. https://doi.org/10.1145/3440036
- Jha, S, Schiemer, M, Zambonelli, F & Ye, J 2021, 'Continual learning in sensor-based human activity recognition: an empirical benchmark analysis', Information Sciences, vol. In Press, pp. 1-35. https://doi.org/10.1016/j.ins.2021.04.062
- Rosales Sanabria, A, Zambonelli, F, Dobson, SA & Ye, J 2021, 'ContrasGAN: unsupervised domain adaptation in Human Activity Recognition via adversarial and contrastive learning', Pervasive and Mobile Computing, vol. In Press, 101477, pp. 1-34. https://doi.org/10.1016/j.pmcj.2021.101477
- Mann, P, Smith, VA, Mitchell, JBO & Dobson, S 2021, 'Cooperative coinfection dynamics on clustered networks', Physical Review E, vol. 103, no. 4, 042307. https://doi.org/10.1103/PhysRevE.103.042307
- Mansouri Benssassi, E & Ye, J 2021, 'Generalisation and robustness investigation for facial and speech emotion recognition using bio-inspired spiking neural networks', Soft Computing, vol. First Online. https://doi.org/10.1007/s00500-020-05501-7