Lachlan O'Neill

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 5

Top Topics

Classification Process

Classifier Systems

Parametric Models

Top Venues

EMNLP (Findings)

Data Min. Knowl. Discov.

Publications

Lachlan O'Neill, Nandini Anantharama, Satya Borgohain, Simon D. Angus
Models Teaching Models: Improving Model Accuracy with Slingshot Learning. EACL (2023)
Nandini Anantharama, Simon Angus, Lachlan O'Neill
CANarEx: Contextually Aware Narrative Extraction for Semantically Rich Text-as-data Applications. EMNLP (Findings) (2022)
Lachlan O'Neill, Simon Angus, Satya Borgohain, Nader Chmait, David L. Dowe
Creating Powerful and Interpretable Models withRegression Networks. CoRR (2021)
Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O'Neill, Nayyar Abbas Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb
Proximity Forest: an effective and scalable distance-based classifier for time series. Data Min. Knowl. Discov. 33 (3) (2019)
Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O'Neill, Nayyar Abbas Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb
Proximity Forest: An effective and scalable distance-based classifier for time series. CoRR (2018)