Ismail Alarab

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Accurate Estimation

Convolutional Network

Countermeasures

Top Venues

Neural Process. Lett.

Multim. Tools Appl.

Publications

Ismail Alarab, Simant Prakoonwit
Robust recurrent graph convolutional network approach based sequential prediction of illicit transactions in cryptocurrencies. Multim. Tools Appl. 83 (20) (2024)
Ismail Alarab, Simant Prakoonwit
Uncertainty estimation based adversarial attack in multi-class classification. Multim. Tools Appl. 82 (1) (2023)
Ismail Alarab, Simant Prakoonwit
Graph-Based LSTM for Anti-money Laundering: Experimenting Temporal Graph Convolutional Network with Bitcoin Data. Neural Process. Lett. 55 (1) (2023)
Ismail Alarab, Simant Prakoonwit
Uncertainty estimation-based adversarial attacks: a viable approach for graph neural networks. Soft Comput. 27 (12) (2023)
Weilai Xu, Ismail Alarab, Charlie Lloyd-Buckingham, Steve Bowden, Benjamin Noer, Fred Charles, Simant Prakoonwit, Andrew J. Callaway, Shelly Ellis, Chris Jones
Re-enacting Football Matches in VR using Virtual Agents' Realistic Behaviours. AIVR (2022)
Ismail Alarab, Simant Prakoonwit
Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks. Neural Process. Lett. 54 (3) (2022)
Ismail Alarab, Simant Prakoonwit
Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks. CoRR (2021)
Ismail Alarab, Simant Prakoonwit, Mohamed Ikbal Nacer
Illustrative Discussion of MC-Dropout in General Dataset: Uncertainty Estimation in Bitcoin. Neural Process. Lett. 53 (2) (2021)
Mohamed Ikbal Nacer, Simant Prakoonwit, Ismail Alarab
TheChain: A Fast, Secure and Parallel Treatment of Transactions. IECC (2020)
Ismail Alarab, Simant Prakoonwit, Mohamed Ikbal Nacer
Competence of Graph Convolutional Networks for Anti-Money Laundering in Bitcoin Blockchain. ICMLT (2020)
Ismail Alarab, Simant Prakoonwit, Mohamed Ikbal Nacer
Comparative Analysis Using Supervised Learning Methods for Anti-Money Laundering in Bitcoin. ICMLT (2020)