Mohamad Alissa
Mohamad Alissa
PhD Senior Data Scientist | Multidisciplinary Researcher | Computer Engineer
Verified email at - Homepage
Cited by
Cited by
Algorithm selection using deep learning without feature extraction
M Alissa, K Sim, E Hart
Proceedings of the Genetic and Evolutionary Computation Conference, 198-206, 2019
Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks
M Alissa, MA Lones, J Cosgrove, JE Alty, S Jamieson, SL Smith, M Vallejo
Neural Computing and Applications, 1-21, 2022
TRUSTD: Combat fake content using blockchain and collective signature technologies
Z Jaroucheh, M Alissa, WJ Buchanan, X Liu
2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020
Automated algorithm selection: from feature-based to feature-free approaches
M Alissa, K Sim, E Hart
Journal of Heuristics, 1-38, 2023
A deep learning approach to predicting solutions in streaming optimisation domains
M Alissa, K Sim, E Hart
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 157-165, 2020
Parkinson's Disease Diagnosis Using Deep Learning
M Alissa
arXiv preprint arXiv:2101.05631, 2021
A neural approach to generation of constructive heuristics
M Alissa, K Sim, E Hart
2021 IEEE Congress on Evolutionary Computation (CEC), 1147-1154, 2021
Sentiment Analysis for Open Domain Conversational Agent
M Alissa, I Haddad, J Meyer, J Obeid, N Wiecek, S Wongariyakavee
arXiv preprint arXiv:2101.00675, 2021
Trust-based ecosystem to combat fake news
Z Jaroucheh, M Alissa, WJ Buchanan
2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1-3, 2020
From algorithm selection to generation using deep learning
M Alissa
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