Better Modeling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup - Hasan Asy'ari Arief; Peter James Thomas; Tomasz Wiktorski (IEEE Trans. Ind. Informatics, 2023)

Towards Building a Distributed Virtual Flow Meter via Compressed Continual Learning - Hasan Asy'ari Arief; Peter James Thomas; Kevin Constable; Aggelos K. Katsaggelos (Sensors, 2022)

Better Modelling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup - Hasan Asy'ari Arief; Peter James Thomas; Tomasz Wiktorski (CoRR, 2022)

A Survey on Distributed Fibre Optic Sensor Data Modelling Techniques and Machine Learning Algorithms for Multiphase Fluid Flow Estimation - Hasan Asy'ari Arief; Tomasz Wiktorski; Peter James Thomas (Sensors, 2021)

SAnE: Smart Annotation and Evaluation Tools for Point Cloud Data - Hasan Asy'ari Arief; Mansur Arief; Guilin Zhang; Zuxin Liu; Manoj Bhat; Ulf Geir Indahl; Håvard Tveite; Ding Zhao (IEEE Access, 2020)

Density-Adaptive Sampling for Heterogeneous Point Cloud Object Segmentation in Autonomous Vehicle Applications - Hasan Asy'ari Arief; Mansur Arief; Manoj Bhat; Ulf Geir Indahl; Håvard Tveite; Ding Zhao (IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Addressing Overfitting on Pointcloud Classification using Atrous XCRF - Hasan Asy'ari Arief; Ulf Geir Indahl; Geir-Harald Strand; Håvard Tveite (CoRR, 2019)

Land Cover Segmentation of Airborne LiDAR Data Using Stochastic Atrous Network - Hasan Asy'ari Arief; Geir-Harald Strand; Håvard Tveite; Ulf Geir Indahl (Remote. Sens., 2018)