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Nemesyst: A hybrid parallelism deep learning-based framework applied for internet of things enabled food retailing refrigeration systems

2019

Onoufriou, G., Bickerton, R., Pearson, S., Leontidis, G.

Computers in Industry, vol. 113, 103133

Contributions to Journals: Articles

Digital Object Identifier

https://doi.org/10.1016/j.compind.2019.103133

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View publication in Scopus

Previous institution repository
Two-Level Approach for No-Reference Consumer Video Quality Assessment

2019

Korhonen, J.

IEEE Transactions on Image Processing, vol. 28, no. 12, pp. 5923-5938

Contributions to Journals: Articles

Digital Object Identifier

https://doi.org/10.1109/TIP.2019.2923051
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

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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

https://aura.abdn.ac.uk/bitstreams/ba9e04a4-a30a-4678-96a3-5f17472520c2/download

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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

https://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

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Nemesyst: A hybrid parallelism deep learning-based framework applied for internet of things enabled food retailing refrigeration systems

Two-Level Approach for No-Reference Consumer Video Quality Assessment

A demonstration of reproducible state-of-the-art energy disaggregation using NILMTK

Capsule Routing via Variational Bayes

Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons

Harvest-aid application strategy in different cotton planting densities by unmanned aerial vehicle

NIHBA: A Network Interdiction Approach with Hybrid Benders Algorithm for Strain Design

Development of machine learning techniques and evaluation of analysis results

Deep Reinforcement Learning for Subpixel Neural Tracking

Image Synthesis with a Convolutional Capsule Generative Adversarial Network