Shuo Yang
TitreCitée parAnnée
Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach
S Yang, M Korayem, K AlJadda, T Grainger, S Natarajan
Knowledge-Based Systems 136, 37-45, 2017
242017
Learning from imbalanced data in relational domains: A soft margin approach
S Yang, T Khot, K Kersting, G Kunapuli, K Hauser, S Natarajan
Data Mining (ICDM), 2014 IEEE International Conference on, 1085-1090, 2014
232014
Knowledge intensive learning: Combining qualitative constraints with causal independence for parameter learning in probabilistic models
S Yang, S Natarajan
European Conference on Machine Learning, (ECML PKDD) 2013 8189, 580-595, 2013
142013
Identifying Rare Diseases from Behavioural Data: A Machine Learning Approach
H MacLeod, S Yang, K Oakes, K Connelly, S Natarajan
Connected Health: Applications, Systems and Engineering Technologies (CHASE …, 2016
132016
Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach
S Yang, T Khot, K Kersting, S Natarajan
30th AAAI Conference on Artificial Intelligence (AAAI) 2016, 2016
112016
Automatic detection of t-wave end in ecg signals
Y Shuo, B Desong
Intelligent Information Technology Application, 2008. IITA'08. Second …, 2008
52008
Personalized Video Recommendations for Shared Accounts
S Yang, S Sarkhel, S Mitra, V Swaminathan
Multimedia (ISM), 2017 IEEE International Symposium on, 256-259, 2017
32017
Automatic detection of QRS onset in ECG signals
S Yang, D Bian
IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium …, 2008
32008
Application of Statistical Relational Learning to Hybrid Recommendation Systems
S Yang, M Korayem, K AlJadda, T Grainger, S Natarajan
arXiv preprint arXiv:1607.01050, 2016
12016
Modeling Coronary Artery Calcification Levels From Behavioral Data in a Clinical Study
S Yang, K Kersting, G Terry, J Carr, S Natarajan
Artificial Intelligence in Medicine (AIME) 9105, 182-187, 2015
12015
Discriminative boosted Bayes networks for learning multiple cardiovascular procedures
N Ramanan, S Yang, S Grannis, S Natarajan
Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on …, 2017
2017
Modeling heart procedures from EHRs: An application of exponential families
S Yang, F Hadiji, K Kersting, S Grannis, S Natarajan
Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on …, 2017
2017
Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data
S Yang
Indiana University, 2017
2017
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