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John Hawkins
John Hawkins
Affiliated Researcher - Transitional AI Research UNSW
Verified email at sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
NFIA controls telencephalic progenitor cell differentiation through repression of the Notch effector Hes1
M Piper, G Barry, J Hawkins, S Mason, C Lindwall, E Little, A Sarkar, ...
Journal of Neuroscience 30 (27), 9127-9139, 2010
1532010
Prediction of subcellular localization using sequence-biased recurrent networks
M Bodén, J Hawkins
Bioinformatics 21 (10), 2279-2286, 2005
1532005
Detecting and sorting targeting peptides with neural networks and support vector machines
J Hawkins, M Bodén
Journal of bioinformatics and computational biology 4 (01), 1-18, 2006
782006
The applicability of recurrent neural networks for biological sequence analysis
J Hawkins, M Bodén
IEEE/ACM Transactions on Computational Biology and Bioinformatics 2 (3), 243-253, 2005
672005
Predicting nuclear localization
J Hawkins, L Davis, M Bodén
Journal of proteome research 6 (4), 1402-1409, 2007
442007
Identifying novel peroxisomal proteins
J Hawkins, D Mahony, S Maetschke, M Wakabayashi, RD Teasdale, ...
Proteins: Structure, Function, and Bioinformatics 69 (3), 606-616, 2007
332007
Assessing phylogenetic motif models for predicting transcription factor binding sites
J Hawkins, C Grant, WS Noble, TL Bailey
Bioinformatics 25 (12), i339-i347, 2009
302009
Studies on the inference of protein binding regions across fold space based on structural similarities
J Teyra, J Hawkins, H Zhu, MT Pisabarro
Proteins: Structure, Function, and Bioinformatics 79 (2), 499-508, 2011
112011
Improved access to sequential motifs: A note on the architectural bias of recurrent networks
M Bodén, J Hawkins
IEEE transactions on neural networks 16 (2), 491-494, 2005
102005
Reduced false positives in PDZ binding prediction using sequence and structural descriptors
JC Hawkins, H Zhu, J Teyra, MT Pisabarro
IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (5 …, 2012
72012
The statistical power of phylogenetic motif models
J Hawkins, TL Bailey
Annual International Conference on Research in Computational Molecular …, 2008
52008
Comparing SVM sequence kernels: A protein subcellular localization theme
L Davis, J Hawkins, S Maetschke, M Bodén
Proceedings of the 2006 workshop on Intelligent systems for bioinformatics …, 2006
52006
Predicting peroxisomal proteins
J Hawkins, M Bodén
2005 IEEE Symposium on Computational Intelligence in Bioinformatics and …, 2005
52005
Exploiting sequence dependencies in the prediction of peroxisomal proteins
M Wakabayashi, J Hawkins, S Maetschke, M Bodén
International Conference on Intelligent Data Engineering and Automated …, 2005
42005
Rational Structure-Based Rescaffolding Approach to De Novo Design of Interleukin 10 (IL-10) Receptor-1 Mimetics
G Ruiz-Gomez, JC Hawkins, J Philipp, G Künze, R Wodtke, R Löser, ...
PloS one 11 (4), e0154046, 2016
32016
Chapter 23 Towards a Network Pattern Language for Complex Systems
J Watson, J Hawkins, D Bradley, D Dassanayake, J Wiles, J Hanan
Recent Advances in Artificial Life, 309-317, 2005
32005
Minimum viable model estimates for machine learning projects
J Hawkins
arXiv preprint arXiv:2101.00346, 2021
22021
Evolving discriminative motifs for recognizing proteins imported to the peroxisome via the PTS2 pathway
M Bodén, J Hawkins
2006 IEEE International Conference on Evolutionary Computation, 2750-2755, 2006
22006
Detecting residues in targeting peptides
M Bodén, J Hawkins
Proceedings Of The 3rd Asia-Pacific Bioinformatics Conference, 131-140, 2005
12005
Estimating Gaze Duration Error from Eye Tracking Data
J Hawkins
Proceedings of the 2023 5th International Conference on Image, Video and …, 2023
2023
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