Ismail Alarab

Orcid: 0000-0001-8320-6423

According to our database1, Ismail Alarab authored at least 10 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
Robust recurrent graph convolutional network approach based sequential prediction of illicit transactions in cryptocurrencies.
Multim. Tools Appl., June, 2024

2023
Uncertainty estimation-based adversarial attacks: a viable approach for graph neural networks.
Soft Comput., June, 2023

Graph-Based LSTM for Anti-money Laundering: Experimenting Temporal Graph Convolutional Network with Bitcoin Data.
Neural Process. Lett., February, 2023

Uncertainty estimation based adversarial attack in multi-class classification.
Multim. Tools Appl., 2023

2022
Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks.
Neural Process. Lett., 2022

Re-enacting Football Matches in VR using Virtual Agents' Realistic Behaviours.
Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2022

2021
Illustrative Discussion of MC-Dropout in General Dataset: Uncertainty Estimation in Bitcoin.
Neural Process. Lett., 2021

2020
TheChain: A Fast, Secure and Parallel Treatment of Transactions.
Proceedings of the IECC 2020: 2nd International Electronics Communication Conference, 2020

Competence of Graph Convolutional Networks for Anti-Money Laundering in Bitcoin Blockchain.
Proceedings of the ICMLT 2020: 5th International Conference on Machine Learning Technologies, 2020

Comparative Analysis Using Supervised Learning Methods for Anti-Money Laundering in Bitcoin.
Proceedings of the ICMLT 2020: 5th International Conference on Machine Learning Technologies, 2020


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