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ORCIDDimitri Perrin
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2020 – today
- 2023
[c25]Ethan Goan, Dimitri Perrin, Kerrie L. Mengersen, Clinton Fookes:
Piecewise Deterministic Markov Processes for Bayesian Neural Networks. UAI 2023: 712-722- [i10]Ethan Goan, Dimitri Perrin, Kerrie L. Mengersen, Clinton Fookes:
Piecewise Deterministic Markov Processes for Bayesian Neural Networks. CoRR abs/2302.08724 (2023) - 2021
- [j4]Solveig K. Sieberts
, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, E. Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg:
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021) - [c24]Rabiul Islam Jony, Alan Woodley, Dimitri Perrin:
Flood Detection in Social Media Using Multimodal Fusion on Multilingual Dataset. DICTA 2021: 1-8 - [c23]Abdullah Nazib, Clinton Fookes, Olivier Salvado, Dimitri Perrin:
A Multiple Decoder Cnn For Inverse Consistent 3d Image Registration. ISBI 2021: 904-907 - 2020
- [c22]Rabiul Islam Jony, Alan Woodley, Dimitri Perrin:
Fusing Visual Features and Metadata to Detect Flooding in Flickr Images. DICTA 2020: 1-8 - [i9]Abdullah Nazib, Clinton Fookes, Olivier Salvado, Dimitri Perrin:
A Multiple Decoder CNN for Inverse Consistent 3D Image Registration. CoRR abs/2002.06468 (2020)
2010 – 2019
- 2019
- [j3]Jacob Bradford, Dimitri Perrin:
A benchmark of computational CRISPR-Cas9 guide design methods. PLoS Comput. Biol. 15(8) (2019) - [c21]Rabiul Islam Jony, Alan Woodley, Dimitri Perrin:
Flood Detection in Social Media Images using Visual Features and Metadata. DICTA 2019: 1-8 - [c20]Connor McLaughlin, Holly Hutson, Lance De Vine, Alan Woodley, Shlomo Geva, Timothy Chappell, Wayne Kelly, Wageeh W. Boles, Dimitri Perrin:
Change Detection over the State of Queensland using High Resolution Planet Satellite Mosaics. DICTA 2019: 1-8 - [c19]Alan Woodley, Connor McLaughlin, Holly Hutson, Shlomo Geva, Timothy Chappell, Wayne Kelly, Dimitri Perrin, Wageeh W. Boles, Lance De Vine:
High Resolution Change Detection Using Planet Mosaic. IGARSS 2019: 6578-6581 - [c18]Abdullah Nazib, Clinton Fookes, Dimitri Perrin:
Towards Extreme-Resolution Image Registration with Deep Learning. ISBI 2019: 512-516 - [i8]Abdullah Nazib, Clinton Fookes, Dimitri Perrin:
Dense Deformation Network for High Resolution Tissue Cleared Image Registration. CoRR abs/1906.06180 (2019) - [i7]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) - 2018
- [j2]Timothy Chappell, Shlomo Geva, James M. Hogan, Flavia Huygens, Irani U. Rathnayake, Stephen Rudd, Wayne Kelly, Dimitri Perrin:
Rapid analysis of metagenomic data using signature-based clustering. BMC Bioinform. 19-S(20): 79-93 (2018) - [c17]Timothy Chappell, Shlomo Geva, James M. Hogan, Dimitri Perrin:
Rapid hierarchical clustering of biological sequences. ADCS 2018: 8:1-8:4 - [c16]Rabiul Islam Jony, Alan Woodley, Aishvarya Raj, Dimitri Perrin:
Ensemble Classification Technique for Water Detection in Satellite Images. DICTA 2018: 1-8 - [c15]Abdullah Nazib, James Galloway, Clinton Fookes, Dimitri Perrin:
Performance of Registration Tools on High-Resolution 3D Brain Images. EMBC 2018: 566-569 - [i6]Abdullah Nazib, James Galloway, Clinton Fookes, Dimitri Perrin:
Performance of Image Registration Tools on High-Resolution 3D Brain Images. CoRR abs/1807.04917 (2018) - [i5]Abdullah Nazib, Clinton Fookes, Dimitri Perrin:
A Comparative Analysis of Registration Tools: Traditional vs Deep Learning Approach on High Resolution Tissue Cleared Data. CoRR abs/1810.08315 (2018) - [i4]Dimitri Perrin, Guido Zuccon:
Recursive module extraction using Louvain and PageRank. F1000Research 7: 1286 (2018) - 2017
- [c14]Timothy Chappell, Shlomo Geva, James M. Hogan, Flavia Huygens, Wayne Kelly, Dimitri Perrin:
Signature-based clustering for analysis of the wound microbiome. BIBM 2017: 339-346 - [c13]Lok Sum Lo, James Galloway, Bernd Ploderer, Dimitri Perrin:
Armbeta: towards accessible wearable technology to quantify upper limb movement and activities. OZCHI 2017: 356-360 - [i3]Jens B. Stephansen, Aditya Ambati, Eileen B. Leary, Hyatt E. Moore IV, Oscar Carrillo, Ling Lin, Birgit Högl, Ambra Stefani, Seung Chul Hong, Tae Won Kim, Fabio Pizza, Giuseppe Plazzi, Stefano Vandi, Elena Antelmi, Dimitri Perrin, Samuel T. Kuna, Paula K. Schweitzer, Clete Kushida, Paul E. Peppard, Poul Jennum, Helge B. D. Sørensen, Emmanuel Mignot:
The use of neural networks in the analysis of sleep stages and the diagnosis of narcolepsy. CoRR abs/1710.02094 (2017) - 2014
- [c12]Heather J. Ruskin, Dimitri Perrin, Irina A. Roznovat:
Building cross-scale models of epigenetic mechanisms. BIBM 2014: 30-37 - 2013
- [c11]Dimitri Perrin, Christophe Duhamel:
Efficiency of Parallelisation of Genetic Algorithms in the Data Analysis Context. COMPSAC Workshops 2013: 339-344 - [c10]Yuto Nakai, Dimitri Perrin, Hiroyuki Ohsaki, Ray Walshe:
Performance Evaluation of Cloud-Based Parallel Computing. COMPSAC Workshops 2013: 351-355 - [c9]Dimitri Perrin, Christophe Duhamel:
Optimisation algorithms for microarray biclustering. EMBC 2013: 592-595 - 2012
- [c8]Hiroyuki Ohsaki, Yosuke Yamada, Dimitri Perrin, Makoto Imase:
Impact of Mobility Constraints on Epidemic Broadcast Mechanisms in Delay-Tolerant Networks. AINA Workshops 2012: 1131-1136 - [c7]Dimitri Perrin, Hiroyuki Ohsaki:
Decentralised Communication in Autonomous Agent Swarms. AINA Workshops 2012: 1143-1146 - [c6]Dimitri Perrin, Marija Bezbradica, Martin Crane, Heather J. Ruskin, Christophe Duhamel:
High-Performance Computing for Data Analytics. DS-RT 2012: 234-242 - [c5]Dimitri Perrin, Hiroyuki Ohsaki:
Impact of mobility and topology on information diffusion in MANETs. ISCC 2012: 430-435 - 2010
- [j1]Grainne Kerr, Dimitri Perrin, Heather J. Ruskin, Martin Crane:
Edge-Weighting of Gene Expression Graphs. Adv. Complex Syst. 13(2): 217-238 (2010)
2000 – 2009
- 2009
- [c4]Dimitri Perrin, Heather J. Ruskin:
From Bio-inspired Computing to E-Biology. C5 2009: 111-118 - [c3]Benoit Claude, Dimitri Perrin, Heather J. Ruskin:
Considerations for a Social and Geographical Framework for Agent-Based Epidemics. CASoN 2009: 149-154 - [c2]John Burns, Heather J. Ruskin, Dimitri Perrin, John Walsh:
Visualization of Complex Biological Systems: An Immune Response Model Using OpenGL. Complex (1) 2009: 671-679 - 2008
- [i2]Dimitri Perrin, Heather J. Ruskin, Martin Crane, Ray Walshe:
Epigenetic Modelling. ERCIM News 2008(72) (2008) - [i1]Dimitri Perrin, John Burns:
Large-Scale Immune Models and Visualization. ERCIM News 2008(74) (2008) - 2006
- [c1]Dimitri Perrin, Heather J. Ruskin, John Burns, Martin Crane:
An Agent-Based Approach to Immune Modelling. ICCSA (1) 2006: 612-621
Coauthor Index
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last updated on 2023-11-14 01:53 CET by the dblp team
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