DeepSource: Point Source Detection using Deep Learning. - Alireza Vafaei Sadr; Etienne E. Vos; Bruce A. Bassett; Zafiirah Hosenie; N. Oozeer; Michelle Lochner (CoRR, 2018)

Bayesian Anomaly Detection and Classification. - Ethan Roberts; Bruce A. Bassett; Michelle Lochner (CoRR, 2019)

Bayesian anomaly detection and classification for noisy data. - Ethan Roberts; Bruce A. Bassett; Michelle Lochner (Int. J. Hybrid Intell. Syst., 2020)

Astronomaly: Personalised active anomaly detection in astronomical data. - Michelle Lochner; Bruce A. Bassett (Astron. Comput., 2021)

Practical Galaxy Morphology Tools from Deep Supervised Representation Learning. - Mike Walmsley; Anna M. M. Scaife; Chris J. Lintott; Michelle Lochner; Verlon Etsebeth; Tobias Géron; Hugh Dickinson; Lucy Fortson; Sandor Kruk; Karen L. Masters; Kameswara Bharadwaj Mantha; Brooke D. Simmons (CoRR, 2021)

Real-time detection of anomalies in large-scale transient surveys. - Daniel Muthukrishna; Kaisey S. Mandel; Michelle Lochner; Sara Webb; Gautham Narayan (CoRR, 2021)

Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data. - Daniel Muthukrishna; Kaisey S. Mandel; Michelle Lochner; Sara Webb; Gautham Narayan (CoRR, 2021)

A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients. - Rithwik Gupta; Daniel Muthukrishna; Michelle Lochner (CoRR, 2024)

A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series. - Rithwik Gupta; Daniel Muthukrishna; Michelle Lochner (CoRR, 2024)