A review of state-of-the-art speckle reduction techniques for optical coherence tomography fingertip scans. - Luke Nicholas Darlow; Sharat Saurabh Akhoury; James Connan (ICMV, 2014)

Study on internal to surface fingerprint correlation using optical coherence tomography and internal fingerprint extraction. - Luke Nicholas Darlow; James Connan (J. Electronic Imaging, 2015)

Internal fingerprint zone detection in optical coherence tomography fingertip scans. - Luke Nicholas Darlow; James Connan; Sharat Saurabh Akhoury (J. Electronic Imaging, 2015)

Performance analysis of a Hybrid fingerprint extracted from optical coherence tomography fingertip scans. - Luke Nicholas Darlow; James Connan; Ann Singh (ICB, 2016)

Fingerprint minutiae extraction using deep learning. - Luke Nicholas Darlow; Benjamin Rosman (IJCB, 2017)

GINN: Geometric Illustration of Neural Networks. - Luke Nicholas Darlow; Amos J. Storkey (CoRR, 2018)

CINIC-10 is not ImageNet or CIFAR-10. - Luke Nicholas Darlow; Elliot J. Crowley; Antreas Antoniou; Amos J. Storkey (CoRR, 2018)

Optical Coherence Tomography for Fingerprint Presentation Attack Detection. - Yaseen Moolla; Luke Nicholas Darlow; Ameeth Sharma; Ann Singh; Johan van der Merwe (Handbook of Biometric Anti-Spoofing, 2nd Ed., 2019)

Matching Fingerprints with a Toroidal Iterative Closest Point Algorithm. - Courtney R. Pitcher; Patrick C. Marais; Luke Nicholas Darlow (SAICSIT, 2020)

What Information Does a ResNet Compress? - Luke Nicholas Darlow; Amos J. Storkey (CoRR, 2020)

DHOG: Deep Hierarchical Object Grouping. - Luke Nicholas Darlow; Amos J. Storkey (CoRR, 2020)

Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks. - Luke Nicholas Darlow; Stanislaw Jastrzebski; Amos J. Storkey (CoRR, 2020)

How Does It Function?: Characterizing Long-term Trends in Production Serverless Workloads. - Artjom Joosen; Ahmed Hassan; Martin Asenov; Rajkarn Singh; Luke Nicholas Darlow; Jianfeng Wang; Adam Barker (SoCC, 2023)

FoldFormer: sequence folding and seasonal attention for fine-grained long-term FaaS forecasting. - Luke Nicholas Darlow; Artjom Joosen; Martin Asenov; Qiwen Deng; Jianfeng Wang; Adam Barker (EuroMLSys@EuroSys, 2023)

TSMix: time series data augmentation by mixing sources. - Luke Nicholas Darlow; Artjom Joosen; Martin Asenov; Qiwen Deng; Jianfeng Wang; Adam Barker (EuroMLSys@EuroSys, 2023)

DAM: Towards a Foundation Model for Forecasting. - Luke Nicholas Darlow; Qiwen Deng; Ahmed Hassan; Martin Asenov; Rajkarn Singh; Artjom Joosen; Adam Barker; Amos J. Storkey (ICLR, 2024)

An Analysis of Linear Time Series Forecasting Models. - William Toner; Luke Nicholas Darlow (ICML, 2024)

DAM: Towards A Foundation Model for Time Series Forecasting. - Luke Nicholas Darlow; Qiwen Deng; Ahmed Hassan; Martin Asenov; Rajkarn Singh; Artjom Joosen; Adam Barker; Amos J. Storkey (CoRR, 2024)

Serverless Cold Starts and Where to Find Them. - Artjom Joosen; Ahmed Hassan; Martin Asenov; Rajkarn Singh; Luke Nicholas Darlow; Jianfeng Wang; Qiwen Deng; Adam Barker (EuroSys, 2025)