Mohamad Alissa

Orcid: 0000-0002-9548-863X

According to our database1, Mohamad Alissa authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

2023
Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches.
J. Heuristics, February, 2023

A Feature-Free Approach to Automated Algorithm Selection.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Parkinson's disease diagnosis using convolutional neural networks and figure-copying tasks.
Neural Comput. Appl., 2022

2021
Parkinson's Disease Diagnosis Using Deep Learning.
CoRR, 2021

Sentiment Analysis for Open Domain Conversational Agent.
CoRR, 2021

A Neural Approach to Generation of Constructive Heuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies.
CoRR, 2020

Trust-based Ecosystem to Combat Fake News.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2020

A deep learning approach to predicting solutions in streaming optimisation domains.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

2019
Algorithm selection using deep learning without feature extraction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019


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