Machine learning-based fault diagnosis for single-and multi-faults in induction motors using measured stator currents and vibration signals MZ Ali, MNSK Shabbir, X Liang, Y Zhang, T Hu IEEE Transactions on Industry Applications 55 (3), 2378-2391, 2019 | 295 | 2019 |
Characterizing genetic interactions in human disease association studies using statistical epistasis networks T Hu, NA Sinnott-Armstrong, JW Kiralis, AS Andrew, MR Karagas, ... BMC bioinformatics 12, 1-13, 2011 | 145 | 2011 |
An information-gain approach to detecting three-way epistatic interactions in genetic association studies T Hu, Y Chen, JW Kiralis, RL Collins, C Wejse, G Sirugo, SM Williams, ... Journal of the American Medical Informatics Association 20 (4), 630-636, 2013 | 85 | 2013 |
An adaptive weight vector guided evolutionary algorithm for preference-based multi-objective optimization F Wang, Y Li, H Zhang, T Hu, XL Shen Swarm and Evolutionary Computation 49, 220-233, 2019 | 84 | 2019 |
Evolvability and speed of evolutionary algorithms in light of recent developments in biology T Hu, W Banzhaf Journal of Artificial Evolution and Applications, ID:568375, 2010 | 57 | 2010 |
ViSEN: Methodology and Software for Visualization of Statistical Epistasis Networks T Hu, Y Chen, JW Kiralis, JH Moore Genetic Epidemiology 37 (3), 283-285, 2013 | 51 | 2013 |
Multifactor dimensionality reduction reveals a three-locus epistatic interaction associated with susceptibility to pulmonary tuberculosis RL Collins, T Hu, C Wejse, G Sirugo, SM Williams, JH Moore BioData mining 6 (1), 4, 2013 | 48 | 2013 |
An evolutionary learning and network approach to identifying key metabolites for osteoarthritis T Hu, K Oksanen, W Zhang, E Randell, A Furey, G Sun, G Zhai PLoS computational biology 14 (3), e1005986, 2018 | 42 | 2018 |
Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming T Hu, JL Payne, W Banzhaf, JH Moore Genetic Programming and Evolvable Machines 13 (3), 305-337, 2012 | 42 | 2012 |
Computational methods for the discovery of metabolic markers of complex traits MY Lee, T Hu Metabolites 9 (4), 66, 2019 | 41 | 2019 |
Nonsynonymous to Synonymous Substitution Ratio: Measurement for Rate of Evolution in Evolutionary Computation T Hu, W Banzhaf International conference on parallel problem solving from nature, 448-457, 2008 | 41 | 2008 |
Genetic polymorphisms modify bladder cancer recurrence and survival in a USA population‐based prognostic study AS Andrew, J Gui, T Hu, A Wyszynski, CJ Marsit, KT Kelsey, AR Schned, ... BJU international 115 (2), 238-247, 2015 | 39 | 2015 |
Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm T Hu, S Harding, W Banzhaf Genetic Programming and Evolvable Machines 11, 205-225, 2010 | 38 | 2010 |
Metabolomics Signature for Non‐Responders to Total Joint Replacement Surgery in Primary Osteoarthritis Patients: The Newfoundland Osteoarthritis Study CA Costello, T Hu, M Liu, W Zhang, A Furey, Z Fan, P Rahman, ... Journal of Orthopaedic Research® 38 (4), 793-802, 2020 | 34 | 2020 |
Interaction among apoptosis-associated sequence variants and joint effects on aggressive prostate cancer NA Lavender, EN Rogers, S Yeyeodu, J Rudd, T Hu, J Zhang, GN Brock, ... BMC medical genomics 5, 1-15, 2012 | 33 | 2012 |
Ensemble learning for detecting gene-gene interactions in colorectal cancer F Dorani, T Hu, MO Woods, G Zhai PeerJ 6, e5854, 2018 | 32 | 2018 |
Robustness, evolvability, and accessibility in linear genetic programming T Hu, J Payne, W Banzhaf, J Moore Proceedings of the 14th European Conference on Genetic Programming, 13-24, 2011 | 32 | 2011 |
Characterizing gene-gene interactions in a statistical epistasis network of twelve candidate genes for obesity R De, T Hu, JH Moore, D Gilbert-Diamond BioData mining 8, 1-16, 2015 | 31 | 2015 |
Epistasis, complexity, and multifactor dimensionality reduction Q Pan, T Hu, JH Moore Genome-wide association studies and genomic prediction, 465-477, 2013 | 30 | 2013 |
Astrocytic connexin 43 potentiates myelin injury in ischemic white matter disease M Wang, C Qin, X Luo, J Wang, X Wang, M Xie, J Hu, J Cao, T Hu, ... Theranostics 9 (15), 4474, 2019 | 27 | 2019 |