T. Ryan Hoens

According to our database, T. Ryan Hoens authored at least 12 papers between 2010 and 2016.

Collaborative distances:

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

2016

Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features.

Ying Shan, T. Ryan Hoens, Jian Jiao, Haijing Wang, Dong Yu, J. C. Mao

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2013

Reliable medical recommendation systems with patient privacy.

T. Ryan Hoens, Marina Blanton, Aaron Steele, Nitesh V. Chawla

ACM Trans. Intell. Syst. Technol., 2013

Classifier Evaluation with Missing Negative Class Labels.

Andrew K. Rider, Reid A. Johnson, Darcy A. Davis, T. Ryan Hoens, Nitesh V. Chawla

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

2012

Learning from streaming data with concept drift and imbalance: an overview.

T. Ryan Hoens, Robi Polikar, Nitesh V. Chawla

Prog. Artif. Intell., 2012

Hellinger distance decision trees are robust and skew-insensitive.

David A. Cieslak, T. Ryan Hoens, Nitesh V. Chawla, W. Philip Kegelmeyer

Data Min. Knowl. Discov., 2012

Building Decision Trees for the Multi-class Imbalance Problem.

T. Ryan Hoens, Qi Qian, Nitesh V. Chawla, Zhi-Hua Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Learning in non-stationary environments with class imbalance.

Thomas Ryan Hoens, Nitesh V. Chawla

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

Heuristic Updatable Weighted Random Subspaces for Non-stationary Environments.

T. Ryan Hoens, Nitesh V. Chawla, Robi Polikar

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

A Private and Reliable Recommendation System for Social Networks.

T. Ryan Hoens, Marina Blanton, Nitesh V. Chawla

Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

Generating Diverse Ensembles to Counter the Problem of Class Imbalance.

T. Ryan Hoens, Nitesh V. Chawla

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Reliable medical recommendation systems with patient privacy.

T. Ryan Hoens, Marina Blanton, Nitesh V. Chawla

Proceedings of the ACM International Health Informatics Symposium, 2010

Consequences of Variability in Classifier Performance Estimates.

Troy Raeder, T. Ryan Hoens, Nitesh V. Chawla

Proceedings of the ICDM 2010, 2010