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ORCIDDavid R. Lovell
Person information
- affiliation: Queensland University of Technology, Brisbane, QLD, Australia
- affiliation (1998 - 2014): CSIRO, Canberra, ACT, Australia
- affiliation (1994 - 1997): Cambridge University, Department of Engineering, UK
- affiliation (PhD 1994): University of Queensland, Brisbane, QLD, Australia
Other persons with the same name
- David Lovell — disambiguation page
- David J. Lovell
![[0000-0001-8480-1910]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8480-1910")
(aka: David Lovell 0001) — University of Maryland, Institute of Systems Research, Department of Civil and Environmental Engineering, College Park, MD, USA
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2020 – today
- 2024
[j5]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)- [c15]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: 54-60 - 2023
- [c14]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: 22702-22757 - [c13]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: 266-279 - [c12]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: 639-647 - 2022
- [i6]David R. Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley:
Never mind the metrics - what about the uncertainty? Visualising confusion matrix metric distributions. CoRR abs/2206.02157 (2022) - 2021
- [c11]David Lovell, Bridget McCarron, Brendan Langfield, Khoa Tran, Andrew P. Bradley:
Taking the Confusion Out of Multinomial Confusion Matrices and Imbalanced Classes. AusDM 2021: 16-30 - [i5]David Lovell, Kellie Vella, Diego Muñoz, Matt McKague, Margot Brereton, Peter Ellis:
Exploring technologies to better link physical evidence and digital information for disaster victim identification. CoRR abs/2111.14366 (2021)
2010 – 2019
- 2019
- [i4]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: 754 (2019) - 2017
- [c10]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: 559-560 - [i3]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 abs/1702.08112 (2017) - [i2]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 abs/1709.02033 (2017) - [i1]Chuong V. Nguyen, David R. Lovell, Matt Adcock, John La Salle:
Capturing natural-colour 3D models of insects for species discovery. CoRR abs/1709.02039 (2017) - 2016
- [c9]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: 1-8 - 2015
- [j4]David Lovell, Vera Pawlowsky-Glahn, Juan José Egozcue, Samuel Marguerat, Jürg Bähler:
Proportionality: A Valid Alternative to Correlation for Relative Data. PLoS Comput. Biol. 11(3) (2015) - [c8]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: 163-164 - 2014
- [c7]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: 107:1 - [c6]Paul Thomas, David Lovell:
Compositional data analysis (CoDA) approaches to distance in information retrieval. SIGIR 2014: 991-994 - [c5]Matt Adcock, Chuong V. Nguyen, David R. Lovell, John La Salle:
Accelerating entomology with Web3D insects. Web3D 2014: 143 - 2013
- [c4]Chao Zhang, Changming Sun, Rhonda Davey, Ran Su, Leanne Bischof, Pascal Vallotton, David Lovell, Shelly Hope, Sigrid A. Lehnert, Tuan D. Pham:
Tubule detection in testis images using boundary weighting and circular shortest path. EMBC 2013: 3319-3322 - [c3]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: 161-167 - 2012
- [c2]Chuong V. Nguyen, Shahram Izadi, David R. Lovell:
Modeling Kinect Sensor Noise for Improved 3D Reconstruction and Tracking. 3DIMPVT 2012: 524-530 - 2011
- [c1]Pascal Vallotton, David Lovell, Janet Newman:
An Observation about Circular Shortest Paths: Dealing with Additional Constraints Using Branch and Bound. DICTA 2011: 513-517
1990 – 1999
- 1998
- [j3]David R. Lovell, Christopher R. Dance, Mahesan Niranjan, Richard W. Prager, Kevin J. Dalton, R. Derom:
Feature selection using expected attainable discrimination. Pattern Recognit. Lett. 19(5-6): 393-402 (1998) - 1997
- [j2]David R. Lovell, Thomas Downs, Ah Chung Tsoi:
An evaluation of the neocognitron. IEEE Trans. Neural Networks 8(5): 1090-1105 (1997) - 1994
- [b1]David R. Lovell:
The neocognitron as a system for handwritten character recognition: limitations and improvements. University of Queensland, Australia, 1994 - 1993
- [j1]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): 367-369 (1993)
Coauthor Index
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