T. Ryan Hoens

11 papers A* 3B 1Journal 3Unranked 4
YearRankTypeTitle / Venue / Authors
2016 A* conf
Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features.
KDD
Ying Shan, T. Ryan Hoens, Jian Jiao, Haijing Wang, Dong Yu, J. C. Mao
2013 B conf
Classifier Evaluation with Missing Negative Class Labels.
IDA
Andrew K. Rider, Reid A. Johnson, Darcy A. Davis, T. Ryan Hoens, Nitesh V. Chawla
2013 J jnl
Reliable medical recommendation systems with patient privacy.
ACM Trans. Intell. Syst. Technol.
T. Ryan Hoens, Marina Blanton, Aaron Steele, Nitesh V. Chawla
2012 — conf
Building Decision Trees for the Multi-class Imbalance Problem.
PAKDD (1)
T. Ryan Hoens, Qi Qian, Nitesh V. Chawla, Zhi-Hua Zhou
2012 J jnl
Hellinger distance decision trees are robust and skew-insensitive.
Data Min. Knowl. Discov.
David A. Cieslak, T. Ryan Hoens, Nitesh V. Chawla, W. Philip Kegelmeyer
2012 J jnl
Learning from streaming data with concept drift and imbalance: an overview.
Prog. Artif. Intell.
T. Ryan Hoens, Robi Polikar, Nitesh V. Chawla
2011 A* conf
Heuristic Updatable Weighted Random Subspaces for Non-stationary Environments.
ICDM
T. Ryan Hoens, Nitesh V. Chawla, Robi Polikar
2010 — conf
A Private and Reliable Recommendation System for Social Networks.
SocialCom/PASSAT
T. Ryan Hoens, Marina Blanton, Nitesh V. Chawla
2010 A* conf
Consequences of Variability in Classifier Performance Estimates.
ICDM
Troy Raeder, T. Ryan Hoens, Nitesh V. Chawla
2010 — conf
Generating Diverse Ensembles to Counter the Problem of Class Imbalance.
PAKDD (2)
T. Ryan Hoens, Nitesh V. Chawla
2010 — conf
Reliable medical recommendation systems with patient privacy.
IHI
T. Ryan Hoens, Marina Blanton, Nitesh V. Chawla