Privacy-preserving Object Detection. - Peiyang He; Charlie Griffin; Krzysztof Kacprzyk; Artjom Joosen; Michael Collyer; Aleksandar Shtedritski; Yuki Markus Asano (CoRR, 2021)

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)

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)

Performance of Zero-Shot Time Series Foundation Models on Cloud Data. - William Toner; Thomas L. Lee; Artjom Joosen; Rajkarn Singh; Martin Asenov (CoRR, 2025)