David R. Lovell

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 12

Top Topics

Euclidean Metric

Confusion Matrix

Genome Sequencing

Top Venues

Publications

Becki Cook, Stephen Corporal, Jarryd Aleckson, Renee Blackman, Glenn Kefford, David R. Lovell, Kerrie L. Mengersen
Empowering communities through data literacy: a qualitative study exploring Indigenous Australian perceptions, engagement and understanding of data. J. Community Informatics 20 (1) (2024)
Tamara Orth, Aloha Hufana Ambe, David R. Lovell, Dimitri Perrin
Delicate Decisions at the Intersection of Intensive Care and Machine Learning - How Human Information Needs inform the Development of Decision Support. ACSW (2024)
Aloha May Hufana Ambe, Sirinthip Roomkham, David R. Lovell, Margot Brereton
Rethinking the Design of Human-Data Interaction through a Study of Older Adults' Wellbeing. OZCHI (2023)
Margot Brereton, Aloha May Hufana Ambe, David R. Lovell, Laurianne Sitbon, Tara Capel, Alessandro Soro, Yue Xu, Catarina Moreira, Benoît Favre, Andrew P. Bradley
Designing Interaction with AI for Human Learning: Towards Human-Machine Teaming in Radiology Training. OZCHI (2023)
David R. Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley
Never mind the metrics - what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective. ICML (2023)
David R. Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley
Never mind the metrics - what about the uncertainty? Visualising confusion matrix metric distributions. CoRR (2022)
Sirinthip Roomkham, Michael Hittle, Joseph Cheung, David R. Lovell, Emmanuel Mignot, Dimitri Perrin
Sleep monitoring with the Apple Watch: comparison to a clinically validated actigraph. F1000Research 8 (2019)
Chuong V. Nguyen, David R. Lovell, Matt Adcock, John La Salle
Capturing natural-colour 3D models of insects for species discovery. CoRR (2017)
Chuong V. Nguyen, Matt Adcock, Stuart Anderson, David R. Lovell, Nicole Fisher, John La Salle
Towards high-throughput 3D insect capture for species discovery and diagnostics. CoRR (2017)
Chuong V. Nguyen, Jurgen Fripp, David R. Lovell, Robert Furbank, Peter Kuffner, Helen Daily, Xavier Sirault
3D Scanning System for Automatic High-Resolution Plant Phenotyping. CoRR (2017)
Chuong V. Nguyen, Matt Adcock, Stuart Anderson, David R. Lovell, Nicole Fisher, John La Salle
Towards High-Throughput 3D Insect Capture for Species Discovery and Diagnostics. eScience (2017)
Chuong V. Nguyen, Jurgen Fripp, David R. Lovell, Robert Furbank, Peter Kuffner, Helen Daily, Xavier Sirault
3D Scanning System for Automatic High-Resolution Plant Phenotyping. DICTA (2016)
Stuart Anderson, Matt Adcock, Beth Mantle, John La Salle, Chuong V. Nguyen, David R. Lovell
Towards web-based semantic enrichment of 3D insects. Web3D (2015)
Matt Adcock, Chuong V. Nguyen, David R. Lovell, John La Salle
Accelerating entomology with Web3D insects. Web3D (2014)
Chuong V. Nguyen, David R. Lovell, Rolf Oberprieler, Debbie Jennings, Matt Adcock, Eleanor Gates-Stuart, John La Salle
Natural-color 3D insect models for education, entertainment, biosecurity and science. SIGGRAPH Posters (2014)
Chuong V. Nguyen, David R. Lovell, Rolf Oberprieler, Debbie Jennings, Matt Adcock, Eleanor Gates-Stuart, John La Salle
Virtual 3D Models of Insects for Accelerated Quarantine Control. ICCV Workshops (2013)
Chuong V. Nguyen, Shahram Izadi, David R. Lovell
Modeling Kinect Sensor Noise for Improved 3D Reconstruction and Tracking. 3DIMPVT (2012)
David R. Lovell, Thomas Downs, Ah Chung Tsoi
An evaluation of the neocognitron. IEEE Trans. Neural Networks 8 (5) (1997)
David R. Lovell, Ah Chung Tsoi, Tom Downs, Thomas H. Hildebrandt
Comments on 'Optimal training of thresholded linear correlation classifiers' [with reply]. IEEE Trans. Neural Networks 4 (2) (1993)