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Derek Beaton
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2020 – today
- 2022
- [j7]Seyyed M. H. Haddad, Christopher J. M. Scott, Miracle Ozzoude, Courtney Berezuk, Melissa Holmes, Sabrina Adamo, Joel Ramirez, Stephen R. Arnott, Nuwan D. Nanayakkara, Malcolm A. Binns, Derek Beaton, Wendy Lou, Kelly Sunderland, Sujeevini Sujanthan, Jane Lawrence, Donna Kwan, Brian Tan, Leanne Casaubon, Jennifer Mandzia, Demetrios Sahlas, Gustavo Saposnik, Ayman Hassan, Brian Levine, Paul McLaughlin, J. B. Orange, Angela Roberts, Angela Troyer, Sandra E. Black, Dar Dowlatshahi, Stephen C. Strother, Richard H. Swartz, Sean Symons, Manuel Montero-Odasso, ONDRI Investigators, Robert Bartha:
Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity. Int. J. Biomed. Imaging 2022: 5860364:1-5860364:14 (2022) - 2021
- [j6]Shuai Liang, Derek Beaton, Stephen R. Arnott, Tom Gee, Mojdeh Zamyadi, Robert Bartha, Sean Symons, Glenda M. MacQueen, Stefanie Hassel, Jason P. Lerch, Evdokia Anagnostou, Raymond W. Lam, Benicio N. Frey, Roumen Milev, Daniel J. Müller, Sidney H. Kennedy, Christopher J. M. Scott, Stephen C. Strother:
Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach. Frontiers Neuroinformatics 15: 622951 (2021) - 2020
- [i1]Derek Beaton:
Generalized eigen, singular value, and partial least squares decompositions: The GSVD package. CoRR abs/2010.14734 (2020)
2010 – 2019
- 2018
- [r1]Hervé Abdi, Vincent Guillemot, Aida Eslami, Derek Beaton:
Canonical Correlation Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2014
- [j5]Derek Beaton, Cherise R. Chin Fatt, Hervé Abdi:
An ExPosition of multivariate analysis with the singular value decomposition in R. Comput. Stat. Data Anal. 72: 176-189 (2014) - 2011
- [j4]Derek Beaton, Iren Valova, Daniel MacLean:
TurSOM: A paradigm bridging Turing's unorganized machines and self-organizing maps demonstrating dual self-organization. Neurocomputing 74(17): 3125-3141 (2011) - 2010
- [j3]Iren Valova, Derek Beaton, Daniel MacLean, John Hammond:
NIPSOM: Parallel Architecture and Implementation of a Growing SOM. Comput. J. 53(6): 753-771 (2010) - [j2]Derek Beaton, Iren Valova, Daniel MacLean:
CQoCO: A measure for comparative quality of coverage and organization for self-organizing maps. Neurocomputing 73(10-12): 2147-2159 (2010) - [j1]Iren Valova, Derek Beaton, Alexandre Buer, Daniel MacLean:
Fractal initialization for high-quality mapping with self-organizing maps. Neural Comput. Appl. 19(7): 953-966 (2010)
2000 – 2009
- 2009
- [c6]Derek Beaton, Iren Valova, Daniel MacLean:
Growing mechanisms and cluster identification with TurSOM. IJCNN 2009: 280-287 - [c5]Derek Beaton, Iren Valova, Daniel MacLean:
TurSOM: A Turing inspired Self-Organizing Map. IJCNN 2009: 288-295 - [c4]Derek Beaton, Iren Valova, Daniel MacLean:
The Use of TurSOM for Color Image Segmentation. SMC 2009: 4232-4237 - 2008
- [c3]Iren Valova, Daniel MacLean, Derek Beaton:
Identification of Patterns via Region-Growing Parallel SOM Neural Network. ICMLA 2008: 853-858 - 2007
- [c2]Derek Beaton, Iren Valova:
RADDACL: A Recursive Algorithm for Clustering and Density Discovery on Non-linearly Separable Data. IJCNN 2007: 1633-1638 - 2005
- [c1]Derek Beaton, Iren Valova:
Alzheimer's detection using neural network techniques and enhanced EEG measurements. Circuits, Signals, and Systems 2005: 303-307
Coauthor Index
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