Comments on 'Optimal training of thresholded linear correlation classifiers' [with reply]. - David R. Lovell; Ah Chung Tsoi; Tom Downs; Thomas H. Hildebrandt (IEEE Trans. Neural Networks, 1993)

The neocognitron as a system for handwritten character recognition: limitations and improvements - David R. Lovell (1994)

An evaluation of the neocognitron. - David R. Lovell; Thomas Downs; Ah Chung Tsoi (IEEE Trans. Neural Networks, 1997)

Feature selection using expected attainable discrimination. - David R. Lovell; Christopher R. Dance; Mahesan Niranjan; Richard W. Prager; Kevin J. Dalton; R. Derom (Pattern Recognit. Lett., 1998)

An Observation about Circular Shortest Paths: Dealing with Additional Constraints Using Branch and Bound. - Pascal Vallotton; David Lovell 002; Janet Newman (DICTA, 2011)

Modeling Kinect Sensor Noise for Improved 3D Reconstruction and Tracking. - Chuong V. Nguyen; Shahram Izadi; David R. Lovell (3DIMPVT, 2012)

Tubule detection in testis images using boundary weighting and circular shortest path. - Chao Zhang 011; Changming Sun; Rhonda Davey; Ran Su; Leanne Bischof; Pascal Vallotton; David Lovell 002; Shelly Hope; Sigrid A. Lehnert; Tuan D. Pham (EMBC, 2013)

Virtual 3D Models of Insects for Accelerated Quarantine Control. - Chuong V. Nguyen; David R. Lovell; Rolf Oberprieler; Debbie Jennings; Matt Adcock; Eleanor Gates-Stuart; John La Salle (ICCV Workshops, 2013)

Natural-color 3D insect models for education, entertainment, biosecurity and science. - Chuong V. Nguyen; David R. Lovell; Rolf Oberprieler; Debbie Jennings; Matt Adcock; Eleanor Gates-Stuart; John La Salle (SIGGRAPH Posters, 2014)

Compositional data analysis (CoDA) approaches to distance in information retrieval. - Paul Thomas 001; David Lovell 002 (SIGIR, 2014)

Accelerating entomology with Web3D insects. - Matt Adcock; Chuong V. Nguyen; David R. Lovell; John La Salle (Web3D, 2014)

Towards web-based semantic enrichment of 3D insects. - Stuart Anderson; Matt Adcock; Beth Mantle; John La Salle; Chuong V. Nguyen; David R. Lovell (Web3D, 2015)

Proportionality: A Valid Alternative to Correlation for Relative Data. - David Lovell 002; Vera Pawlowsky-Glahn; Juan José Egozcue; Samuel Marguerat; Jürg Bähler (PLoS Comput. Biol., 2015)

3D Scanning System for Automatic High-Resolution Plant Phenotyping. - Chuong V. Nguyen; Jurgen Fripp; David R. Lovell; Robert Furbank; Peter Kuffner; Helen Daily; Xavier Sirault (DICTA, 2016)

Towards High-Throughput 3D Insect Capture for Species Discovery and Diagnostics. - Chuong V. Nguyen; Matt Adcock; Stuart Anderson; David R. Lovell; Nicole Fisher; John La Salle (eScience, 2017)

Capturing natural-colour 3D models of insects for species discovery. - Chuong V. Nguyen; David R. Lovell; Matt Adcock; John La Salle (CoRR, 2017)

Sleep monitoring with the Apple Watch: comparison to a clinically validated actigraph. - Sirinthip Roomkham; Michael Hittle; Joseph Cheung; David R. Lovell; Emmanuel Mignot; Dimitri Perrin (F1000Research, 2019)

Taking the Confusion Out of Multinomial Confusion Matrices and Imbalanced Classes. - David Lovell 002; Bridget McCarron; Brendan Langfield; Khoa Tran; Andrew P. Bradley (AusDM, 2021)

Exploring technologies to better link physical evidence and digital information for disaster victim identification. - David Lovell 002; Kellie Vella; Diego Muñoz 001; Matthew McKague; Margot Brereton; Peter Ellis (CoRR, 2021)

Never mind the metrics - what about the uncertainty? Visualising confusion matrix metric distributions. - David R. Lovell; Dimity Miller; Jaiden Capra; Andrew P. Bradley (CoRR, 2022)

Never mind the metrics - what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective. - David R. Lovell; Dimity Miller; Jaiden Capra; Andrew P. Bradley (ICML, 2023)

Rethinking the Design of Human-Data Interaction through a Study of Older Adults' Wellbeing. - Aloha May Hufana Ambe; Sirinthip Roomkham; David R. Lovell; Margot Brereton (OZCHI, 2023)

Designing Interaction with AI for Human Learning: Towards Human-Machine Teaming in Radiology Training. - Margot Brereton; Aloha May Hufana Ambe; David R. Lovell; Laurianne Sitbon; Tara Capel; Alessandro Soro; Yue Xu 001; Catarina Moreira; Benoît Favre; Andrew P. Bradley (OZCHI, 2023)

Delicate Decisions at the Intersection of Intensive Care and Machine Learning - How Human Information Needs inform the Development of Decision Support. - Tamara Orth; Aloha Hufana Ambe; David R. Lovell; Dimitri Perrin (ACSW, 2024)

Empowering communities through data literacy: a qualitative study exploring Indigenous Australian perceptions, engagement and understanding of data. - Becki Cook; Stephen Corporal; Jarryd Aleckson; Renee Blackman; Glenn Kefford; David R. Lovell; Kerrie L. Mengersen (J. Community Informatics, 2024)