SNPs-based Hypertension Disease Detection via Machine Learning Techniques
(2018)
Presentation / Conference Contribution
Alzubi, R., Ramzan, N., Alzoubi, H., & Katsigiannis, S. (2018, December). SNPs-based Hypertension Disease Detection via Machine Learning Techniques. Presented at 24th International Conference on Automation and Computing (ICAC), Newcastle upon Tyne, United Kingdom
Outputs (216)
Towards a Unified Model for Harmony and Voice-Leading (2018)
Other
Lieck, R., Harasim, D., & Rohrmeier, M. (2018). Towards a Unified Model for Harmony and Voice-Leading
Towards light-weight annotations: Fuzzy interpolative reasoning for zero-shot image classification (2018)
Presentation / Conference Contribution
Long, Y., Tan, Y., Organisciak, D., Yang, L., & Shao, L. (2018, December). Towards light-weight annotations: Fuzzy interpolative reasoning for zero-shot image classification. Presented at BMVC
Multi-view Aggregation for Color Naming with Shadow Detection and Removal (2018)
Presentation / Conference Contribution
Dahy Elkhouly, M., James, S., & Del Bue, A. (2018, December). Multi-view Aggregation for Color Naming with Shadow Detection and Removal. Presented at 2018 IEEE International Conference on Image Processing, Applications and Systems (IPAS), Sophia Antipolis, FranceThis paper presents a set of methods for classifying the color attribute of objects when multiple images of the same objects are available. This problem is more complex than the single image estimation since varying environmental effects, such as, sh... Read More about Multi-view Aggregation for Color Naming with Shadow Detection and Removal.
RoVAN: A Rough Set-based Scheme for Cluster Head Selection in Vehicular Ad-hoc Networks (2018)
Presentation / Conference Contribution
Dua, A., Sharma, P., Ganju, S., Jindal, A., Aujla, G. S., Kumar, N., & Rodrigues, J. J. (2018, December). RoVAN: A Rough Set-based Scheme for Cluster Head Selection in Vehicular Ad-hoc Networks. Presented at 2018 IEEE Global Communications Conference (GLOBECOM)
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments (2018)
Presentation / Conference Contribution
McGough, S., Forshaw, M., Brennan, J., Al Moubayed, N., & Bonner, S. (2018, October). Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. Presented at 9th International Green and Sustainable Computing Conference., Pittsburgh, PA, USHigh Throughput Computing (HTC) provides a convenient mechanism for running thousands of tasks. Many HTC systems exploit computers which are provisioned for other purposes by utilising their idle time - volunteer computing. This has great advantages... Read More about Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments.
Local representation learning with a convolutional autoencoder (2018)
Presentation / Conference Contribution
Kenning, M. P., Xie, X., Edwards, M., & Deng, J. (2018, December). Local representation learning with a convolutional autoencoder. Presented at 2018 25th IEEE International Conference on Image Processing (ICIP) IEEE
DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices (2018)
Journal Article
Katsigiannis, S., & Ramzan, N. (2018). DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices. IEEE Journal of Biomedical and Health Informatics, 22(1), 98-107. https://doi.org/10.1109/jbhi.2017.2688239
Stealing PINs via mobile sensors: actual risk versus user perception (2018)
Journal Article
Mehrnezhad, M., Toreini, E., Shahandashti, S. F., & Hao, F. (2018). Stealing PINs via mobile sensors: actual risk versus user perception
Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy (2018)
Presentation / Conference Contribution
Maciel-Pearson, B., Carbonneau, P., & Breckon, T. (2018, July). Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy. Presented at 19th Towards Autonomous Robotic Systems (TAROS) Conference., Bristol, England