Benzene Poisoning, a Risk Factor for Hematological Malignancy, Is Associated with the NQOl 609C-» T Mutation and Rapid Fractional Excretion of Chlorzoxazone1 N Rothman, MT Smith, RB Hayes, RD Traver, B Hoener, S Campleman, ... | 397* | |
Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems L Zhang, D Zhang IEEE, 2015 | 332 | 2015 |
Evolutionary Cost-sensitive Extreme Learning Machine and Subspace Extension L Zhang, D Zhang arXiv preprint arXiv:1505.04373, 2015 | 193* | 2015 |
Evolutionary Cost-sensitive Extreme Learning Machine and Subspace Extension L Zhang, D Zhang | 193* | |
Classification of multiple indoor air contaminants by an electronic nose and a hybrid support vector machine L Zhang, F Tian, H Nie, L Dang, G Li, Q Ye, C Kadri Sensors and Actuators B: Chemical 174, 114-125, 2012 | 169 | 2012 |
Performance Study of Multilayer Perceptrons in a Low-Cost Electronic Nose L Zhang, F Tian IEEE Transactions on Instrumentation & Measurement, 2014 | 143 | 2014 |
Performance Study of Multilayer Perceptrons in a Low-Cost Electronic Nose L Zhang, F Tian IEEE Transactions on Instrumentation & Measurement, 0 | 143* | |
On-line sensor calibration transfer among electronic nose instruments for monitoring volatile organic chemicals in indoor air quality L Zhang, F Tian, C Kadri, B Xiao, H Li, L Pan, H Zhou Sensors and Actuators B: Chemical 160 (1), 899-909, 2011 | 107 | 2011 |
Chaotic time series prediction of E-nose sensor drift in embedded phase space L Zhang, F Tian, S Liu, L Dang, X Peng, X Yin Sensors and Actuators B: Chemical 182, 71-79, 2013 | 81 | 2013 |
A Novel Classifier Ensemble for Recognition of Multiple Indoor Air Contaminants by an Electronic Nose L Dang, F Tian, L Zhang, C Kadri Sensor and Actators A: Physical, 2014 | 76 | 2014 |
Chaos based neural network optimization for concentration estimation of indoor air contaminants by an electronic nose L Zhang, F Tian, S Liu, J Guo, B Hu, Q Ye, L Dang, X Peng, C Kadri, ... Sensors and Actuators A: physical 189, 161-167, 2013 | 72 | 2013 |
SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet L Zhang, D Zhang arXiv preprint arXiv:1506.02509, 2015 | 70 | 2015 |
SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet L Zhang, D Zhang | 70* | |
A novel sensor selection using pattern recognition in electronic nose L Zhang, F Tian, G Pei Measurement 54, 31-39, 2014 | 60 | 2014 |
Visual Understanding via Multi-Feature Shared Learning with Global Consistency L Zhang, D Zhang | 58 | 2015 |
A new kernel discriminant analysis framework for electronic nose recognition L Zhang, FC Tian Analytica chimica acta 816, 8-17, 2014 | 54 | 2014 |
A rapid discreteness correction scheme for reproducibility enhancement among a batch of MOS gas sensors L Zhang, FC Tian, XW Peng, X Yin Sensors and Actuators A: Physical, 2014 | 51 | 2014 |
Gases concentration estimation using heuristics and bio-inspired optimization models for experimental chemical electronic nose L Zhang, F Tian, C Kadri, G Pei, H Li, L Pan Sensors and Actuators B: Chemical 160 (1), 760-770, 2011 | 51 | 2011 |
Virtual full duplex wireless broadcasting via compressed sensing L Zhang, D Guo IEEE/ACM Transactions on Networking (TON) 22 (5), 1659-1671, 2014 | 45 | 2014 |
A novel background interferences elimination method in electronic nose using pattern recognition L Zhang, F Tian, L Dang, G Li, X Peng, X Yin, S Liu Sensors and Actuators A: Physical 201, 254-263, 2013 | 44 | 2013 |