| 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 34 (2), 1433-1453, 2022 | 34 | 2022 |
| 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 | 33 | 2019 |
| 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 | 17 | 2020 |
| Automated algorithm selection: from feature-based to feature-free approaches M Alissa, K Sim, E Hart Journal of Heuristics 29 (1), 1-38, 2023 | 9 | 2023 |
| Parkinson's Disease Diagnosis Using Deep Learning M Alissa arXiv preprint arXiv:2101.05631, 2021 | 5 | 2021 |
| 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 | 5 | 2020 |
| A neural approach to generation of constructive heuristics M Alissa, K Sim, E Hart 2021 IEEE Congress on Evolutionary Computation (CEC), 1147-1154, 2021 | 4 | 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 | 2 | 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 | 1 | 2020 |
| A Feature-Free Approach to Automated Algorithm Selection M Alissa, K Sim, E Hart Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | | 2023 |
| From algorithm selection to generation using deep learning M Alissa | | 2022 |
Kevin SimLecturerVerified email at napier.ac.uk
