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)

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 (CVPR Workshops, 2019)

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

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)

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)

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)

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 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)