Comparative Analysis Using Supervised Learning Methods for Anti-Money Laundering in Bitcoin. - Ismail Alarab; Simant Prakoonwit; Mohamed Ikbal Nacer (ICMLT, 2020)

Competence of Graph Convolutional Networks for Anti-Money Laundering in Bitcoin Blockchain. - Ismail Alarab; Simant Prakoonwit; Mohamed Ikbal Nacer (ICMLT, 2020)

TheChain: A Fast, Secure and Parallel Treatment of Transactions. - Mohamed Ikbal Nacer; Simant Prakoonwit; Ismail Alarab (IECC, 2020)

Illustrative Discussion of MC-Dropout in General Dataset: Uncertainty Estimation in Bitcoin. - Ismail Alarab; Simant Prakoonwit; Mohamed Ikbal Nacer (Neural Process. Lett., 2021)

Re-enacting Football Matches in VR using Virtual Agents' Realistic Behaviours. - Weilai Xu; Ismail Alarab; Charlie Lloyd-Buckingham; Steve Bowden; Benjamin Noer; Fred Charles; Simant Prakoonwit; Andrew J. Callaway; Shelly Ellis; Chris Jones (AIVR, 2022)

Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks. - Ismail Alarab; Simant Prakoonwit (Neural Process. Lett., 2022)

Uncertainty estimation based adversarial attack in multi-class classification. - Ismail Alarab; Simant Prakoonwit (Multim. Tools Appl., 2023)

Graph-Based LSTM for Anti-money Laundering: Experimenting Temporal Graph Convolutional Network with Bitcoin Data. - Ismail Alarab; Simant Prakoonwit (Neural Process. Lett., 2023)

Uncertainty estimation-based adversarial attacks: a viable approach for graph neural networks. - Ismail Alarab; Simant Prakoonwit (Soft Comput., 2023)

Robust recurrent graph convolutional network approach based sequential prediction of illicit transactions in cryptocurrencies. - Ismail Alarab; Simant Prakoonwit (Multim. Tools Appl., 2024)