Proximity Forest: an effective and scalable distance-based classifier for time series. - Benjamin Lucas; Ahmed Shifaz; Charlotte Pelletier; Lachlan O'Neill; Nayyar Abbas Zaidi; Bart Goethals; François Petitjean; Geoffrey I. Webb (Data Min. Knowl. Discov., 2019)

Creating Powerful and Interpretable Models withRegression Networks. - Lachlan O'Neill; Simon D. Angus; Satya Borgohain; Nader Chmait; David L. Dowe (CoRR, 2021)

CANarEx: Contextually Aware Narrative Extraction for Semantically Rich Text-as-data Applications. - Nandini Anantharama; Simon D. Angus; Lachlan O'Neill (EMNLP (Findings), 2022)

Models Teaching Models: Improving Model Accuracy with Slingshot Learning. - Lachlan O'Neill; Nandini Anantharama; Satya Borgohain; Simon D. Angus (EACL, 2023)

Paired Completion: Flexible Quantification of Issue-framing at Scale with LLMs. - Simon D. Angus; Lachlan O'Neill (CoRR, 2024)