| Feature Selection via Dependence Maximization. L Song, A Smola, A Gretton, J Bedo, K Borgwardt Journal of Machine Learning Research 13 (5), 2012 | 495 | 2012 |
| Blood-based protein biomarkers for diagnosis of Alzheimer disease JD Doecke, SM Laws, NG Faux, W Wilson, SC Burnham, CP Lam, ... Archives of neurology 69 (10), 1318-1325, 2012 | 474 | 2012 |
| Supervised feature selection via dependence estimation L Song, A Smola, A Gretton, KM Borgwardt, J Bedo Proceedings of the 24th international conference on Machine learning, 823-830, 2007 | 466 | 2007 |
| PBT2 rapidly improves cognition in Alzheimer's Disease: additional phase II analyses NG Faux, CW Ritchie, A Gunn, A Rembach, A Tsatsanis, J Bedo, ... Journal of Alzheimer's Disease 20 (2), 509-516, 2010 | 436 | 2010 |
| PPFA: Privacy preserving fog-enabled aggregation in smart grid L Lyu, K Nandakumar, B Rubinstein, J Jin, J Bedo, M Palaniswami IEEE Transactions on Industrial Informatics 14 (8), 3733-3744, 2018 | 238 | 2018 |
| A blood-based predictor for neocortical Aβ burden in Alzheimer’s disease: results from the AIBL study SC Burnham, NG Faux, W Wilson, SM Laws, D Ames, J Bedo, AI Bush, ... Molecular psychiatry 19 (4), 519-526, 2014 | 129 | 2014 |
| Stratification bias in low signal microarray studies BJ Parker, S Günter, J Bedo BMC bioinformatics 8, 1-16, 2007 | 96 | 2007 |
| RAR/RXR binding dynamics distinguish pluripotency from differentiation associated cis-regulatory elements A Chatagnon, P Veber, V Morin, J Bedo, G Triqueneaux, M Sémon, ... Nucleic acids research 43 (10), 4833-4854, 2015 | 95 | 2015 |
| MTOR signaling orchestrates stress-induced mutagenesis, facilitating adaptive evolution in cancer A Cipponi, DL Goode, J Bedo, MJ McCabe, M Pajic, DR Croucher, ... Science 368 (6495), 1127-1131, 2020 | 90 | 2020 |
| Blood-borne amyloid-β dimer correlates with clinical markers of Alzheimer's disease VL Villemagne, KA Perez, KE Pike, WM Kok, CC Rowe, AR White, ... Journal of Neuroscience 30 (18), 6315-6322, 2010 | 87 | 2010 |
| Gene selection via the BAHSIC family of algorithms L Song, J Bedo, KM Borgwardt, A Gretton, A Smola Bioinformatics 23 (13), i490-i498, 2007 | 82 | 2007 |
| An efficient alternative to svm based recursive feature elimination with applications in natural language processing and bioinformatics J Bedo, C Sanderson, A Kowalczyk Australasian joint conference on artificial intelligence, 170-180, 2006 | 71 | 2006 |
| Method and apparatus for sampled optical signal monitoring T Anderson, S Dods, A Kowalczyk, J Bedo, KP Clarke US Patent 7,899,324, 2011 | 70 | 2011 |
| A distinct DNA methylation signature defines pediatric pre-B cell acute lymphoblastic leukemia NC Wong, D Ashley, Z Chatterton, M Parkinson-Bates, HK Ng, ... Epigenetics 7 (6), 535-541, 2012 | 63 | 2012 |
| Development and validation of a gene expression tumour classifier for cancer of unknown primary RW Tothill, F Shi, L Paiman, J Bedo, A Kowalczyk, L Mileshkin, E Buela, ... Pathology 47 (1), 7-12, 2015 | 48 | 2015 |
| Precision-mapping and statistical validation of quantitative trait loci by machine learning J Bedo, P Wenzl, A Kowalczyk, A Kilian BMC genetics 9, 1-18, 2008 | 28 | 2008 |
| Performance evaluation of a classifier A Kowalczyk, J Bedo, I Haviv US Patent App. 13/583,452, 2013 | 23 | 2013 |
| Multi-impairment monitoring for photonic networks TB Anderson, SD Dods, K Clarke, J Bedo, A Kowalczyk 33rd European Conference and Exhibition of Optical Communication, 1-4, 2007 | 23 | 2007 |
| Ductal variant prostate carcinoma is associated with a significantly shorter metastasis-free survival K Chow, J Bedő, A Ryan, D Agarwal, D Bolton, Y Chan, P Dundee, ... European Journal of Cancer 148, 440-450, 2021 | 22 | 2021 |
| Spleen volume variation in patients with locally advanced non-small cell lung cancer receiving platinum-based chemo-radiotherapy SW Wen, SJ Everitt, J Bedő, M Chabrot, DL Ball, B Solomon, ... PloS one 10 (11), e0142608, 2015 | 22 | 2015 |
Noel G FauxMelbourne Data Analytics Platform - The University of MelbourneПотвърден имейл адрес: unimelb.edu.au
