A demonstration of reproducible state-of-the-art energy disaggregation using NILMTK 2019 Batra, N., Kukunuri, R., Pandey, A., Malakar, R., Kumar, R., Krystalakos, O., Zhong, M., Meira, P., Parson, O. Chapters in Books, Reports and Conference Proceedings: Conference Proceedings Digital Object Identifier https://doi.org/10.1145/3360322.3360999 Additional Links View publication in Scopus
Capsule Routing via Variational Bayes 2019 Ribeiro, F. D. S., Leontidis, G., Kollias, S. Contributions to Conferences: Papers Online https://aaai.org/ojs/index.php/AAAI/article/download/5785/5641 Digital Object Identifier https://doi.org/10.1609/aaai.v34i04.5785 Open Access http://aura.abdn.ac.uk/bitstreams/ba9e04a4-a30a-4678-96a3-5f17472520c2/download Additional Links Full version
Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons 2019 Wang, Y., Yu, J., Yang, S., Jiang, S., Zhao, S. Swarm and Evolutionary Computation, vol. 50, 100559 Contributions to Journals: Articles Digital Object Identifier https://doi.org/10.1016/j.swevo.2019.100559 Additional Links View publication in Scopus
Harvest-aid application strategy in different cotton planting densities by unmanned aerial vehicle 2019 Meng, Y., Han, Y., Liang, Z., Su, J., Lan, Y. International Journal of Precision Agriculture Aviation, vol. 2, no. 1, pp. 31-41 Contributions to Journals: Articles Digital Object Identifier https://doi.org/10.33440/j.ijpaa.20190201.0027
NIHBA: A Network Interdiction Approach with Hybrid Benders Algorithm for Strain Design 2019 Jiang, S., Wang, Y., Kaiser, M., Krasnogor, N. Working Papers and Discussion Papers Digital Object Identifier https://doi.org/10.1101/752923
Development of machine learning techniques and evaluation of analysis results 2019 Kollias, S., Stafylopatis, A., Leontidis, G., Alexandridis, G., Tabouratzis, T., Durrant, A. European Commission. 42 pages. Other Contributions: Other Contributions Open Access http://aura.abdn.ac.uk/bitstreams/b1dd0e44-0f0c-45c4-b171-23652f7a8443/download Additional Links https://cortex-h2020.eu/wp-content/uploads/2020/04/CORTEX_D3_4_Development_of_machine_learning_techniques_and_evaluation_of_analysis_results_V1.pdf
Deep Reinforcement Learning for Subpixel Neural Tracking 2019 Dai, T., Dubois, M., Arulkumaran, K., Campbell, J., Bass, C., Billot, B., Uslu, F., de Paola, V., Clopath, C., Bharath, A. A. Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
Image Synthesis with a Convolutional Capsule Generative Adversarial Network 2019 Bass, C., Dai, T., Billot, B., Arulkumaran, K., Creswell, A., Clopath, C., De Paola, V., Bharath, A. A. Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
A machine learning based personalized system for driving state recognition 2019 Yi, D., Su, J., Liu, C., Quddus, M., Chen, W. Transportation Research Part C: Emerging Technologies, vol. 105, pp. 241-261 Contributions to Journals: Articles Digital Object Identifier https://doi.org/10.1016/j.trc.2019.05.042 Additional Links Loughborough University repository
3D Convolutional and Recurrent Neural Networks for Reactor Perturbation Unfolding Anomaly Detection 2019 Durrant, A., Leontidis, G., Kollias, S. 9th European Commission Conference on EURATOM Research and Training in Safety of Reactor Systems Contributions to Conferences: Posters Open Access http://aura.abdn.ac.uk/bitstreams/86105ddf-09cb-4239-b0f5-7069c10d1828/download