Shuo Yang

According to our database, Shuo Yang authored at least 13 papers between 2013 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains.

Harsha Kokel, Phillip Odom, Shuo Yang, Sriraam Natarajan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

An Interactive Online Audience Extension System.

Yu Cheng, Shuo Yang, David Araújo, Yibo Yao, Yantao Yao

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data.

Shuo Yang

CoRR, 2018

2017

Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach.

Shuo Yang, Mohammed Korayem, Khalifeh AlJadda, Trey Grainger, Sriraam Natarajan

Knowl. Based Syst., 2017

Personalized Video Recommendations for Shared Accounts.

Shuo Yang, Somdeb Sarkhel, Saayan Mitra, Viswanathan Swaminathan

Proceedings of the 19th IEEE International Symposium on Multimedia, 2017

Modeling heart procedures from EHRs: An application of exponential families.

Shuo Yang, Fabian Hadiji, Kristian Kersting, Shaun J. Grannis, Sriraam Natarajan

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Discriminative boosted Bayes networks for learning multiple cardiovascular procedures.

Nandini Ramanan, Shuo Yang, Shaun J. Grannis, Sriraam Natarajan

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Application of Statistical Relational Learning to Hybrid Recommendation Systems.

Shuo Yang, Mohammed Korayem, Khalifeh AlJadda, Trey Grainger, Sriraam Natarajan

CoRR, 2016

Identifying Rare Diseases from Behavioural Data: A Machine Learning Approach.

Haley MacLeod, Shuo Yang, Kim Oakes, Kay Connelly, Sriraam Natarajan

Proceedings of the First IEEE International Conference on Connected Health: Applications, 2016

Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach.

Shuo Yang, Tushar Khot, Kristian Kersting, Sriraam Natarajan

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Modeling Coronary Artery Calcification Levels from Behavioral Data in a Clinical Study.

Shuo Yang, Kristian Kersting, Greg Terry, Jefferey Carr, Sriraam Natarajan

Proceedings of the Artificial Intelligence in Medicine, 2015

2014

Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach.

Shuo Yang, Tushar Khot, Kristian Kersting, Gautam Kunapuli, Kris Hauser, Sriraam Natarajan

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Knowledge Intensive Learning: Combining Qualitative Constraints with Causal Independence for Parameter Learning in Probabilistic Models.

Shuo Yang, Sriraam Natarajan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013