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Shimei Pan, Ph.D. - Publications

Affiliations: 
Columbia University, New York, NY 
Area:
natural language processing
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8 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Ding T, Hasan F, Bickel WK, Pan S. Building High Performance Explainable Machine Learning Models for Social Media-based Substance Use Prediction International Journal On Artificial Intelligence Tools. 29: 2060009. DOI: 10.1142/S021821302060009X  0.365
2019 Ding T, Bickel WK, Pan S. Predicting delay discounting from heterogeneous social media data Social Network Analysis and Mining. 9. DOI: 10.1007/S13278-019-0574-X  0.352
2017 Zhou L, Pan S, Wang J, Vasilakos AV. Machine learning on big data Neurocomputing. 237: 350-361. DOI: 10.1016/J.Neucom.2017.01.026  0.331
2016 Yang Y, Pan S, Lu J, Topkara M, Song Y. The Stability and Usability of Statistical Topic Models Ksii Transactions On Internet and Information Systems. 6: 14. DOI: 10.1145/2954002  0.333
2013 Song Y, Pan S, Liu S, Wei F, Zhou MX, Qian W. Constrained text coclustering with supervised and unsupervised constraints Ieee Transactions On Knowledge and Data Engineering. 25: 1227-1239. DOI: 10.1109/Tkde.2012.45  0.312
2002 Litman DJ, Pan S. Designing and evaluating an adaptive spoken dialogue system User Modeling and User-Adapted Interaction. 12: 111-137. DOI: 10.1023/A:1015036910358  0.316
2002 Pan S, McKeown K, Hirschberg J. Exploring features from natural language generation for prosody modeling Computer Speech and Language. 16: 457-490. DOI: 10.1016/S0885-2308(02)00022-0  0.53
2000 McKeown KR, Pan S. Prosody modelling in concept-to-speech generation: Methodological issues Philosophical Transactions of the Royal Society a: Mathematical, Physical and Engineering Sciences. 358: 1419-1431. DOI: 10.1098/Rsta.2000.0595  0.536
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