Mhd Rateb Mhd Ziad Alissa

mhd rateb mhd ziad alissa

Mhd Rateb Mhd Ziad Alissa

Research Student

Date


5 results

Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks

Journal Article
Alissa, M., Lones, M. A., Cosgrove, J., Alty, J. E., Jamieson, S., Smith, S. L., & Vallejo, M. (in press)
Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks. Neural Computing and Applications, https://doi.org/10.1007/s00521-021-06469-7
Parkinson’s disease (PD) is a progressive neurodegenerative disorder that causes abnormal movements and an array of other symptoms. An accurate PD diagnosis can be a challengi...

A Neural Approach to Generation of Constructive Heuristics

Conference Proceeding
Alissa, M., Sim, K., & Hart, E. (2021)
A Neural Approach to Generation of Constructive Heuristics. In 2021 IEEE Congress on Evolutionary Computation (CEC) (1147-1154). https://doi.org/10.1109/CEC45853.2021.9504989
Both algorithm-selection methods and hyper-heuristic methods rely on a pool of complementary heuristics. Improving the pool with new heuristics can improve performance, howeve...

TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies

Conference Proceeding
Jaroucheh, Z., Alissa, M., Buchanan, W. J., & Liu, X. (2020)
TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC 2020). , (1215-1220
The growing trend of sharing news/contents, through social media platforms and the World Wide Web has been seen to impact our perception of the truth, altering our views about...

A Deep Learning Approach to Predicting Solutions in Streaming Optimisation Domains

Conference Proceeding
Alissa, M., Sim, K., & Hart, E. (2020)
A Deep Learning Approach to Predicting Solutions in Streaming Optimisation Domains. https://doi.org/10.1145/3377930.3390224
In the field of combinatorial optimisation, per-instance algorithm selection still remains a challenging problem, particularly with respect to streaming problems such as packi...

Algorithm selection using deep learning without feature extraction

Conference Proceeding
Alissa, M., Sim, K., & Hart, E. (2019)
Algorithm selection using deep learning without feature extraction. In GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. , (198-206). https://doi.org/10.1145/3321707.3321845
We propose a novel technique for algorithm-selection which adopts a deep-learning approach, specifically a Recurrent-Neural Network with Long-Short-Term-Memory (RNN-LSTM). In ...

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