Algorithm selection using deep learning without feature extraction. - Mohamad Alissa; Kevin Sim; Emma Hart (GECCO, 2019)

TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies. - Zakwan Jaroucheh; Mohamad Alissa; William J. Buchanan; Xiaodong Liu 002 (COMPSAC, 2020)

A deep learning approach to predicting solutions in streaming optimisation domains. - Mohamad Alissa; Kevin Sim; Emma Hart (GECCO, 2020)

Trust-based Ecosystem to Combat Fake News. - Zakwan Jaroucheh; Mohamad Alissa; William J. Buchanan (IEEE ICBC, 2020)

TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies. - Zakwan Jaroucheh; Mohamad Alissa; William J. Buchanan (CoRR, 2020)

A Neural Approach to Generation of Constructive Heuristics. - Mohamad Alissa; Kevin Sim; Emma Hart (CEC, 2021)

Sentiment Analysis for Open Domain Conversational Agent. - Mohamad Alissa; Issa Haddad; Jonathan Meyer; Jade Obeid; Kostis Vilaetis; Nicolas Wiecek; Sukrit Wongariyakavee (CoRR, 2021)

Parkinson's Disease Diagnosis Using Deep Learning. - Mohamad Alissa (CoRR, 2021)

Parkinson's disease diagnosis using convolutional neural networks and figure-copying tasks. - Mohamad Alissa; Michael A. Lones; Jeremy Cosgrove; Jane E. Alty; Stuart Jamieson; Stephen L. Smith 002; Marta Vallejo (Neural Comput. Appl., 2022)

A Feature-Free Approach to Automated Algorithm Selection. - Mohamad Alissa; Kevin Sim; Emma Hart (GECCO Companion, 2023)

Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches. - Mohamad Alissa; Kevin Sim; Emma Hart (J. Heuristics, 2023)

Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances. - Emma Hart; Quentin Renau; Kevin Sim; Mohamad Alissa (PPSN (2), 2024)