Jinling Wang
Contact category | Staff |
---|---|
Job title | Accounts Payable Assistant Team Leader |
Research institute | Non-faculty |
Non-faculty |
Research outputs
Teachers' ratings of social skills and problem behaviors as concurrent predictors of students' bullying behavior
Elliott, Stephen N., Hwang, Yoon-Suk and Wang, Jin. (2019). Teachers' ratings of social skills and problem behaviors as concurrent predictors of students' bullying behavior. Journal of Applied Developmental Psychology. 60, pp. 119 - 126. https://doi.org/10.1016/j.appdev.2018.12.005Journal article
Why choose teaching? A matter of choice : Evidence from the field
Wyatt-SmithWyatt-Smith, Claire, C., Wang, Jin, Alexander, Colette, Du Plessis, Anna, Hand, Kirstine and Colbert, Peta. (2017). Why choose teaching? A matter of choice : Evidence from the field Australia: Institute for Learning Sciences and Teacher Education, Australian Catholic University.Project report
Probabilistic latent semantic analysis for multichannel biomedical signal clustering
Wang, Jin and She, Mary. (2016). Probabilistic latent semantic analysis for multichannel biomedical signal clustering. IEEE Signal Processing Letters. 23(12), pp. 1821 - 1824. https://doi.org/10.1109/LSP.2016.2623801Journal article
An incremental algorithm for discovering routine behaviours from smart meter data
Wang, Jin, Cardell-Oliver, Rachel and Liu, Wei. (2016). An incremental algorithm for discovering routine behaviours from smart meter data. Knowledge-Based Systems. 113, pp. 61 - 74. https://doi.org/10.1016/j.knosys.2016.09.016Journal article
Patient admission prediction using a pruned fuzzy min--max neural network with rule extraction
Wang, Jin, Lim, Chee Peng, Creighton, Douglas, Khorsavi, Abbas, Nahavandi, Saeid, Ugon, Julien, Vamplew, Peter, Stranieri, Andrew, Martin, Laura and Freischmidt, Anton. (2014). Patient admission prediction using a pruned fuzzy min--max neural network with rule extraction. Neural Computing and Applications. 26(2), pp. 277 - 289. https://doi.org/10.1007/s00521-014-1631-zJournal article
Sparse representation with multi-manifold analysis for texture classification from few training images
Sun, Xiangping, Wang, Jin, She, Mary F. H. and Kong, Lingxue. (2014). Sparse representation with multi-manifold analysis for texture classification from few training images. Image and Vision Computing. 32(11), pp. 835 - 846. https://doi.org/10.1016/j.imavis.2014.07.001Journal article
Multichannel biomedical time series clustering via hierarchical probabilistic latent semantic analysis
Wang, Jin, Sun, Xiangping, Nahavandi, Saeid, Kouzani, Abbas, Wu, Yuchuan and She, Mary. (2014). Multichannel biomedical time series clustering via hierarchical probabilistic latent semantic analysis. Computer Methods and Programs in Biomedicine. 117(2), pp. 238 - 246. https://doi.org/10.1016/j.cmpb.2014.06.014Journal article
Human identification from ECG signals via sparse representation of local segments
Wang, Jin, She, Mary, Nahavandi, Saeid and Kouzani, Abbas. (2013). Human identification from ECG signals via sparse representation of local segments. IEEE Signal Processing Letters. 20(10), pp. 937 - 940. https://doi.org/10.1109/LSP.2013.2267593Journal article
Scale invariant texture classification via sparse representation
Sun, Xiangping, Wang, Jin, She, Mary F. H. and Kong, Lingxue. (2013). Scale invariant texture classification via sparse representation. Neurocomputing. 122, pp. 338 - 348. https://doi.org/10.1016/j.neucom.2013.06.016Journal article
Biomedical time series clustering based on non-negative sparse coding and probabilistic topic model
Wang, Jin, Liu, Ping, She, Mary F. H., Nahavandi, Saeid and Kouzani, Abbas. (2013). Biomedical time series clustering based on non-negative sparse coding and probabilistic topic model. Computer Methods and Programs in Biomedicine. 111(3), pp. 629 - 641. https://doi.org/10.1016/j.cmpb.2013.05.022Journal article
Sparse representation of local spatial-temporal features with dimensionality reduction for motion recognition
Wang, Jin, Sun, Xiangping, Liu, Ping, She, Mary F. H. and Kong, Lingxue. (2013). Sparse representation of local spatial-temporal features with dimensionality reduction for motion recognition. Neurocomputing. 115, pp. 150 - 160. https://doi.org/10.1016/j.neucom.2013.01.012Journal article
Unsupervised mining of long time series based on latent topic model
Wang, Jin, Sun, Xiangping, She, Mary FH, Kouzani, Abbas and Nahavandi, Saeid. (2013). Unsupervised mining of long time series based on latent topic model. Nurocomputing. 103, pp. 93 - 103. https://doi.org/10.1016/j.neucom.2012.09.008Journal article
Supervised learning probabilistic latent semantic analysis for human motion analysis
Wang, Jin, Liu, Ping, She, Mary F. H., Kouzani, Abbas and Nahavandi, Saeid. (2013). Supervised learning probabilistic latent semantic analysis for human motion analysis. Neurocomputing. 100, pp. 134 - 143. https://doi.org/10.1016/j.neucom.2011.10.033Journal article
Bag-of-words representation for biomedical time series classification
Wang, Jin, Liu, Ping, She, Mary F. H., Nahavandi, Saeid and Kouzani, Abbas. (2013). Bag-of-words representation for biomedical time series classification. Biomedical Signal Processing and Control. 8(6), pp. 634 - 644. https://doi.org/10.1016/j.bspc.2013.06.004Journal article
Intelligent clothing for automated recognition of human physical activities in free-living environment
Wu, Yuchuan, Chen, Ronghua, Wang, Jin, Sun, Xiangping and She, Mary F. H.. (2012). Intelligent clothing for automated recognition of human physical activities in free-living environment. Journal of the Textile Institute. 103(8), pp. 806 - 816. https://doi.org/10.1080/00405000.2011.611641Journal article
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